2,454 results on '"A. Ehrlich"'
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2. Update on pediatric testicular germ cell tumors
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Elisabeth T. Tracy, David A. Rodeberg, Jennifer H. Aldrink, Erin G. Brown, Peter F. Ehrlich, Timothy B. Lautz, Reto M. Baertschiger, Richard D. Glick, Peter Mattei, Afif N. Kulaylat, David H. Rothstein, Christa N. Grant, Roshni Dasgupta, and Emily R. Christison-Lagay
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Male ,endocrine system ,Pediatrics ,medicine.medical_specialty ,Adolescent ,medicine.medical_treatment ,03 medical and health sciences ,Retroperitoneal lymph node dissection ,0302 clinical medicine ,Testicular Neoplasms ,030225 pediatrics ,medicine ,Humans ,Prospective Studies ,Orchiectomy ,Child ,Neoplasm Staging ,business.industry ,Cancer ,Pediatric Surgeon ,General Medicine ,Evidence-based medicine ,Neoplasms, Germ Cell and Embryonal ,medicine.disease ,Testicular germ cell ,Review article ,Clinical trial ,030220 oncology & carcinogenesis ,Pediatrics, Perinatology and Child Health ,Lymph Node Excision ,Surgery ,business - Abstract
Background Testicular germ cell tumors are uncommon tumors that are encountered by pediatric surgeons and urologists and require a knowledge of appropriate contemporary evaluation and surgical and medical management. Method A review of the recommended diagnostic evaluation and current surgical and medical management of children and adolescents with testicular germ cell tumors based upon recently completed clinical trials was performed and summarized in this article. Results In this summary of childhood and adolescent testicular germ cell tumors, we review the initial clinical evaluation, surgical and medical management, risk stratification, results from recent prospective cooperative group studies, and clinical outcomes. A summary of recently completed clinical trials by pediatric oncology cooperative groups is provided, and best surgical practices are discussed. Conclusions Testicular germ cell tumors in children are rare tumors. International collaborations, data-sharing, and enrollment of patients at all stages and risk classifications into active clinical trials will enhance our knowledge of these rare tumors and most importantly improve outcomes of patients with testicular germ cell tumors. Level of evidence This is a review article of previously published and referenced level 1 and 2 studies, but also includes expert opinion level 5, represented by the American Pediatric Surgical Association Cancer Committee.
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- 2022
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3. Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder
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Mara Parellada, Kerstin Konrad, Mark A. Bellgrove, Stefan Ehrlich, Thomas Frodl, Ruth O'Gorman Tuura, Evdokia Anagnostou, J. Antoni Ramos-Quiroga, David Coghill, Clyde Francks, Georgii Karkashadze, Damien A. Fair, Francisco X. Castellanos, Oscar Vilarroya, Eugenio H. Grevet, Yash Patel, Eileen Daly, Clodagh M. Murphy, Klaus-Peter Lesch, Kirsten O'Hearn, Claiton H.D. Bau, Jeffery N. Epstein, Daan van Rooij, Liesbeth Reneman, Eileen Oberwelland-Weiss, Timothy J. Silk, Yanli Zhang-James, Christine M. Freitag, Jane McGrath, Tomáš Paus, Jan Haavik, Louise Gallagher, Ting Li, Merel Postema, Celso Arango, Barbara Franke, Sara Calderoni, Jaap Oosterlaan, Andreas Reif, Paulo Mattos, Iva Ilioska, Leanne Tamm, Paul M. Thompson, Joost Janssen, Pieter J. Hoekstra, Neda Jahanshad, Jacqueline Fitzgerald, Odile A. van den Heuvel, Pedro G.P. Rosa, Tobias Banaschewski, Joseph A. King, Katya Rubia, Christine Deruelle, Marieke Klein, Stephen V. Faraone, Philip Shaw, Premika S.W. Boedhoe, Kerstin Jessica Plessen, Luisa Lázaro, Alessandra Retico, Jan K. Buitelaar, Paul Pauli, Guillaume Auzias, Joel T. Nigg, Christine Ecker, Annette Conzelmann, Jonna Kuntsi, Sarah Durston, Beatriz Luna, Silvia Brem, Marlene Behrmann, Jason P. Lerch, Susanne Walitza, Martine Hoogman, Filippo Muratori, Ilan Dinstein, Rosa Calvo, Mario Rodrigues Louzã, Geraldo F. Busatto, Daniel Brandeis, Institut de Neurosciences de la Timone (INT), and Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
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Neurology ,Autism Spectrum Disorder ,[SDV]Life Sciences [q-bio] ,CHILDREN ,Review Article ,0302 clinical medicine ,Transtorno do espectro autista ,pathology [Brain] ,130 000 Cognitive Neurology & Memory ,GENETIC INFLUENCES ,Neurociències ,Multicenter Studies as Topic ,Review Articles ,Mapeamento encefálico ,ComputingMilieux_MISCELLANEOUS ,LIFE-SPAN ,neuroimaging ,Radiological and Ultrasound Technology ,Consórcios de saúde ,05 social sciences ,ENIGMA ,Brain ,220 Statistical Imaging Neuroscience ,Transtorno do déficit de atenção com hiperatividade ,Autism spectrum disorders ,Cerebral cortex ,Trastorns de l'espectre autista ,3. Good health ,IMAGING FINDINGS ,Escorça cerebral ,cortex ,Autism spectrum disorder ,Cortex ,Trastorns per dèficit d'atenció amb hiperactivitat en els adults ,Anatomy ,Psychology ,diagnostic imaging [Autism Spectrum Disorder] ,Clinical psychology ,medicine.medical_specialty ,DEFICIT HYPERACTIVITY DISORDER ,BRAIN ABNORMALITIES ,ADHD ,ASD ,subcortical volumes ,Brain Structure and Function ,Neuroimaging ,pathology [Autism Spectrum Disorder] ,behavioral disciplines and activities ,050105 experimental psychology ,03 medical and health sciences ,mental disorders ,medicine ,Attention deficit hyperactivity disorder ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,ddc:610 ,diagnostic imaging [Brain] ,METAANALYSIS ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Neurosciences ,pathology [Attention Deficit Disorder with Hyperactivity] ,medicine.disease ,Mental health ,Subcortical volumes ,Attention Deficit Disorder with Hyperactivity ,Attention deficit disorder with hyperactivity in adults ,Autism ,diagnostic imaging [Attention Deficit Disorder with Hyperactivity] ,Neurology (clinical) ,Working group ,170 000 Motivational & Cognitive Control ,CORTICAL THICKNESS ,030217 neurology & neurosurgery - Abstract
Human brain mapping 43(1), 37-55 (2022). doi:10.1002/hbm.25029 special issue: "Special Issue: The ENIGMA Consortium: the first 10 years / Issue Edited by: P.M. Thompson, N. Jahanshad, L. Schmaal, J.A. Turner, A. Winkler, S.I. Thomopoulos, G.F. Egan, P. Kochunov", Published by Wiley-Liss, New York, NY
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- 2022
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4. Primary Chemoablation of Low-Grade Intermediate-Risk Nonmuscle-Invasive Bladder Cancer Using UGN-102, a Mitomycin-Containing Reverse Thermal Gel (Optima II): A Phase 2b, Open-Label, Single-Arm Trial
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Lawrence Karsh, Andrew Meads, Madlen Malinowski, Douglas S. Scherr, Soumi Lahiri, Michael Vernia, Elyse Seltzer, David L. Morris, Sunil Raju, Neal D. Shore, Jennifer Linehan, Daniel Saltzstein, Steven Kester, Alexander Sankin, Arnold Cinman, K. Kent Chevli, Mark P. Schoenberg, Mark D. Tyson, Boris Friedman, Yaron Ehrlich, Karim Chamie, Andrew Trainer, Nimrod Gabai, Jay D. Raman, Angela B. Smith, Richard D’Anna, Brian Hu, William C. Huang, and Max Kates
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Ablation Techniques ,Adult ,Male ,medicine.medical_specialty ,Mitomycin ,Urology ,media_common.quotation_subject ,Urinary system ,Risk Assessment ,Urination ,Biopsy ,medicine ,Clinical endpoint ,Humans ,Dysuria ,Neoplasm Invasiveness ,Prospective Studies ,Adverse effect ,Aged ,media_common ,Aged, 80 and over ,Antibiotics, Antineoplastic ,Bladder cancer ,medicine.diagnostic_test ,business.industry ,Hydrogels ,Middle Aged ,medicine.disease ,Clinical trial ,Treatment Outcome ,Urinary Bladder Neoplasms ,Female ,Neoplasm Grading ,medicine.symptom ,business - Abstract
Purpose Low-grade intermediate-risk nonmuscle-invasive bladder cancer (LG IR NMIBC) is a recurrent disease, thus requiring repeated transurethral resection of bladder tumor under general anesthesia. We evaluated the efficacy and safety of UGN-102, a mitomycin-containing reverse thermal gel, as a primary chemoablative therapeutic alternative to transurethral resection of bladder tumor for patients with LG IR NMIBC. Materials and methods This prospective, phase 2b, open-label, single-arm trial recruited patients with biopsy-proven LG IR NMIBC to receive 6 once-weekly instillations of UGN-102. The primary end point was complete response (CR) rate, defined as the proportion of patients with negative endoscopic examination, negative cytology and negative for-cause biopsy 3 months after treatment initiation. Patients with CR were followed quarterly up to 12 months to assess durability of treatment effect. Safety and adverse events were monitored throughout the trial. Results A total of 63 patients (38 males and 25 females 33-96 years old) enrolled and received ≥1 instillation of UGN-102. Among the patients 41 (65%) achieved CR at 3 months, of whom 39 (95%), 30 (73%) and 25 (61%) remained disease-free at 6, 9 and 12 months after treatment initiation, respectively. A total of 13 patients had documented recurrences. The probability of durable response 9 months after CR (12 months after treatment initiation) was estimated to be 73% by Kaplan-Meier analysis. Common adverse events (incidence ≥10%) included dysuria, urinary frequency, hematuria, micturition urgency, urinary tract infection and fatigue. Conclusions Nonsurgical primary chemoablation of LG IR NMIBC using UGN-102 resulted in significant treatment response with sustained durability. UGN-102 may provide an alternative to repetitive surgery for patients with LG IR NMIBC.
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- 2022
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5. Type A Acute Aortic Dissection Presenting With Cerebrovascular Accident at Advanced Age
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Arturo Evangelista, Philipp Angleitner, Santi Trimarchi, Kim A. Eagle, Christoph A. Nienaber, Kevin M. Harris, Harleen K. Sandhu, Thomas G. Gleason, Marco Di Eusanio, George J. Arnaoutakis, Daniel G. Montgomery, Marek Ehrlich, Eric M. Isselbacher, Derek R. Brinster, and Raffi Bekeredjian
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Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,030204 cardiovascular system & hematology ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,law ,Internal medicine ,medicine ,Cardiopulmonary bypass ,Humans ,Hospital Mortality ,Registries ,Stroke ,Aged ,Retrospective Studies ,Aortic dissection ,COPD ,business.industry ,Hazard ratio ,Irad ,General Medicine ,Odds ratio ,medicine.disease ,Confidence interval ,Aortic Dissection ,Treatment Outcome ,030228 respiratory system ,Acute Disease ,Surgery ,Cardiology and Cardiovascular Medicine ,business - Abstract
Our aim was to analyze outcomes of patients aged 70 years or above presenting with type A acute aortic dissection (TAAAD) and cerebrovascular accident (CVA). A retrospective analysis of the International Registry of Acute Aortic Dissection (IRAD) was conducted. Patients aged 70 years or above (n = 1449) were stratified according to presence or absence of CVA before surgery (CVA: n = 110, 7.6%). In-hospital outcomes and mortality up to 5 years were analyzed. Additionally, in-hospital outcomes of patients who received medical management were described. No patient presenting with CVA over the age of 87 years underwent surgery. The rates of in-hospital mortality and post-operative CVA were significantly higher in patients presenting with CVA (in-hospital mortality: 32.7% vs 21.7%, P = 0.008; post-operative CVA: 23.4% vs 8.3%, P0.001). Presence of CVA was independently associated with significantly increased in-hospital mortality (odds ratio 2.99, 95% confidence interval 1.35 - 6.60, P = 0.007). In survivors of the hospital stay, presenting CVA had no independent influence on mortality up to 5 years (hazard ratio 1.52, 95% confidence interval 0.99 - 2.31, P = 0.54). In medically managed patients, exceedingly high rates of in-hospital mortality (71.4%) and CVA (90.9%) were noted. Patients presenting with TAAAD and CVA at ≥ 70 years of age are at significantly increased risk of in-hospital mortality, although long-term mortality is not affected in hospital survivors. Medical management is associated with poor outcomes. We believe that surgical management should be offered after critical assessment of comorbidities.
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- 2022
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6. Epigenetics and expression of key genes associated with cardiac fibrosis: NLRP3, MMP2, MMP9, CCN2/CTGF and AGT
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Melanie Ehrlich, Carl Baribault, Sruti Chandra, Kenneth C. Ehrlich, and Michelle Lacey
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Male ,0301 basic medicine ,Cancer Research ,Neutrophils ,Cardiac fibrosis ,Gene Expression ,Monocytes ,Epigenesis, Genetic ,0302 clinical medicine ,cardiovascular disease ,Gene expression ,Aorta ,Aged, 80 and over ,DNA methylation ,integumentary system ,Angiotensin II ,Cell biology ,Enhancer Elements, Genetic ,Liver ,Matrix Metalloproteinase 9 ,030220 oncology & carcinogenesis ,lincRNA ,Matrix Metalloproteinase 2 ,Female ,Research Article ,DNase I hypersensitive sites ,Biology ,03 medical and health sciences ,NLR Family, Pyrin Domain-Containing 3 Protein ,Genetics ,medicine ,Humans ,Epigenetics ,inflammasomes ,Enhancer ,Transcription factor ,Aged ,epigenetics ,Myocardium ,fibrosis ,super-enhancers ,Connective Tissue Growth Factor ,medicine.disease ,CTGF ,MicroRNAs ,transcription factor binding ,030104 developmental biology ,enhancers - Abstract
Aims: Excessive inflammatory signaling and pathological remodeling of the extracellular matrix drive cardiac fibrosis and require changes in gene expression. Materials and methods: Using bioinformatics, both tissue-specific expression profiles and epigenomic profiles of some genes critical for cardiac fibrosis were examined, namely, NLRP3, MMP2, MMP9, CCN2/CTGF, AGT (encodes angiotensin II precursors) and hsa-mir-223 (post-transcriptionally regulates NLRP3). Results: In monocytes, neutrophils, fibroblasts, venous cells, liver and brain, enhancers or super-enhancers were found that correlate with high expression of these genes. One enhancer extended into a silent gene neighbor. These enhancers harbored tissue-specific foci of DNA hypomethylation, open chromatin and transcription factor binding. Conclusions: This study identified previously undescribed enhancers containing hypomethylated transcription factor binding subregions that are predicted to regulate expression of these cardiac fibrosis-inducing genes.
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- 2021
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7. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
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Bourne R. R. A., Steinmetz J. D., Saylan M., Mersha A. M., Weldemariam A. H., Wondmeneh T. G., Sreeramareddy C. T., Pinheiro M., Yaseri M., Yu C., Zastrozhin M. S., Zastrozhina A., Zhang Z. -J., Zimsen S. R. M., Yonemoto N., Tsegaye G. W., Vu G. T., Vongpradith A., Renzaho A. M. N., Sorrie M. B., Shaheen A. A., Shiferaw W. S., Skryabin V. Y., Skryabina A. A., Saya G. K., Rahimi-Movaghar V., Shigematsu M., Sahraian M. A., Naderifar H., Sabour S., Rathi P., Sathian B., Miller T. R., Rezapour A., Rawal L., Pham H. Q., Parekh U., Podder V., Onwujekwe O. E., Pasovic M., Otstavnov N., Negash H., Pawar S., Naimzada M. D., Al Montasir A., Ogbo F. A., Owolabi M. O., Pakshir K., Mohammad Y., Moni M. A., Nunez-Samudio V., Mulaw G. F., Naveed M., Maleki S., Michalek I. M., Misra S., Swamy S. N., Mohammed J. A., Flaxman S., Park E. -C., Briant P. S., Meles G. G., Hayat K., Landires I., Kim G. R., Liu X., LeGrand K. E., Taylor H. R., Kunjathur S. M., Khoja T. A. M., Bicer B. K., Khalilov R., Hashi A., Kayode G. A., Carneiro V. L. A., Kavetskyy T., Kosen S., Kulkarni V., Holla R., Kalhor R., Jayaram S., Islam S. M. S., Gilani S. A., Eskandarieh S., Molla M. D., Itumalla R., Farzadfar F., Congdon N. G., Elhabashy H. R., Elayedath R., Couto R. A. S., Dervenis N., Cromwell E. A., Dahlawi S. M. A., Resnikoff S., Casson R. J., Abdoli A., Choi J. -Y. J., Dos Santos F. L. C., Abrha W. A., Nagaraja S. B., Abualhasan A., Adal T. G., Aregawi B. B., Beheshti M., Abu-Gharbieh E., Afshin A., Ahmadieh H., Alemzadeh S. A., Arrigo A., Atnafu D. D., Ashbaugh C., Ashrafi E., Alemayehu W., Alfaar A. S., Alipour V., Anbesu E. W., Androudi S., Arabloo J., Arditi A., Bagli E., Baig A. A., Barnighausen T. W., Battaglia Parodi M., Bhagavathula A. S., Bhardwaj N., Bhardwaj P., Bhattacharyya K., Bijani A., Bikbov M., Bottone M., Braithwaite T., Bron A. M., Butt Z. A., Cheng C. -Y., Chu D. -T., Cicinelli M. V., Coelho J. M., Dai X., Dana R., Dandona L., Dandona R., Del Monte M. A., Deva J. P., Diaz D., Djalalinia S., Dreer L. E., Ehrlich J. R., Ellwein L. B., Emamian M. H., Fernandes A. G., Fischer F., Friedman D. S., Furtado J. M., Gaidhane S., Gazzard G., Gebremichael B., George R., Ghashghaee A., Golechha M., Hamidi S., Hammond B. R., Hartnett M. E. R., Hartono R. K., Hay S. I., Heidari G., Ho H. C., Househ M., Ibitoye S. E., Ilic I. M., Huang J. J., Ilic M. D., Ingram A. D., Irvani S. S. N., Jha R. P., Kahloun R., Kandel H., Kasa A. S., Kempen J. H., Khairallah M., Khan E. A., Khanna R. C., Khatib M. N., Kim J. E., Kim Y. J., Kisa A., Kisa S., Koyanagi A., Kurmi O. P., Lansingh V. C., Leasher J. L., Leveziel N., Limburg H., Manafi N., Mansouri K., McAlinden C., Mohammadi S. F., Mokdad A. H., Morse A. R., Naderi M., Naidoo K. S., Nangia V., Nguyen H. L. T., Ogundimu K., Olagunju A. T., Panda-Jonas S., Pesudovs K., Peto T., Ur Rahman M. H., Ramulu P. Y., Rawaf D. L., Rawaf S., Reinig N., Robin A. L., Rossetti L., Safi S., Sahebkar A., Samy A. M., Serle J. B., Shaikh M. A., Shen T. T., Shibuya K., Shin J. I., Silva J. C., Silvester A., Singh J. A., Singhal D., Sitorus R. S., Skiadaresi E., Soheili A., Sousa R. A. R. C., Stambolian D., Tadesse E. G., Tahhan N., Tareque Md. I., Topouzis F., Tran B. X., Tsilimbaris M. K., Varma R., Virgili G., Wang N., Wang Y. X., West S. K., Wong T. Y., Jonas J. B., Vos T., Bourne, R. R. A., Steinmetz, J. D., Saylan, M., Mersha, A. M., Weldemariam, A. H., Wondmeneh, T. G., Sreeramareddy, C. T., Pinheiro, M., Yaseri, M., Yu, C., Zastrozhin, M. S., Zastrozhina, A., Zhang, Z. -J., Zimsen, S. R. M., Yonemoto, N., Tsegaye, G. W., Vu, G. T., Vongpradith, A., Renzaho, A. M. N., Sorrie, M. B., Shaheen, A. A., Shiferaw, W. S., Skryabin, V. Y., Skryabina, A. A., Saya, G. K., Rahimi-Movaghar, V., Shigematsu, M., Sahraian, M. A., Naderifar, H., Sabour, S., Rathi, P., Sathian, B., Miller, T. R., Rezapour, A., Rawal, L., Pham, H. Q., Parekh, U., Podder, V., Onwujekwe, O. E., Pasovic, M., Otstavnov, N., Negash, H., Pawar, S., Naimzada, M. D., Al Montasir, A., Ogbo, F. A., Owolabi, M. O., Pakshir, K., Mohammad, Y., Moni, M. A., Nunez-Samudio, V., Mulaw, G. F., Naveed, M., Maleki, S., Michalek, I. M., Misra, S., Swamy, S. N., Mohammed, J. A., Flaxman, S., Park, E. -C., Briant, P. S., Meles, G. G., Hayat, K., Landires, I., Kim, G. R., Liu, X., Legrand, K. E., Taylor, H. R., Kunjathur, S. M., Khoja, T. A. M., Bicer, B. K., Khalilov, R., Hashi, A., Kayode, G. A., Carneiro, V. L. A., Kavetskyy, T., Kosen, S., Kulkarni, V., Holla, R., Kalhor, R., Jayaram, S., Islam, S. M. S., Gilani, S. A., Eskandarieh, S., Molla, M. D., Itumalla, R., Farzadfar, F., Congdon, N. G., Elhabashy, H. R., Elayedath, R., Couto, R. A. S., Dervenis, N., Cromwell, E. A., Dahlawi, S. M. A., Resnikoff, S., Casson, R. J., Abdoli, A., Choi, J. -Y. J., Dos Santos, F. L. C., Abrha, W. A., Nagaraja, S. B., Abualhasan, A., Adal, T. G., Aregawi, B. B., Beheshti, M., Abu-Gharbieh, E., Afshin, A., Ahmadieh, H., Alemzadeh, S. A., Arrigo, A., Atnafu, D. D., Ashbaugh, C., Ashrafi, E., Alemayehu, W., Alfaar, A. S., Alipour, V., Anbesu, E. W., Androudi, S., Arabloo, J., Arditi, A., Bagli, E., Baig, A. A., Barnighausen, T. W., Battaglia Parodi, M., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhattacharyya, K., Bijani, A., Bikbov, M., Bottone, M., Braithwaite, T., Bron, A. M., Butt, Z. A., Cheng, C. -Y., Chu, D. -T., Cicinelli, M. V., Coelho, J. M., Dai, X., Dana, R., Dandona, L., Dandona, R., Del Monte, M. A., Deva, J. P., Diaz, D., Djalalinia, S., Dreer, L. E., Ehrlich, J. R., Ellwein, L. B., Emamian, M. H., Fernandes, A. G., Fischer, F., Friedman, D. S., Furtado, J. M., Gaidhane, S., Gazzard, G., Gebremichael, B., George, R., Ghashghaee, A., Golechha, M., Hamidi, S., Hammond, B. R., Hartnett, M. E. R., Hartono, R. K., Hay, S. I., Heidari, G., Ho, H. C., Househ, M., Ibitoye, S. E., Ilic, I. M., Huang, J. J., Ilic, M. D., Ingram, A. D., Irvani, S. S. N., Jha, R. P., Kahloun, R., Kandel, H., Kasa, A. S., Kempen, J. H., Khairallah, M., Khan, E. A., Khanna, R. C., Khatib, M. N., Kim, J. E., Kim, Y. J., Kisa, A., Kisa, S., Koyanagi, A., Kurmi, O. P., Lansingh, V. C., Leasher, J. L., Leveziel, N., Limburg, H., Manafi, N., Mansouri, K., Mcalinden, C., Mohammadi, S. F., Mokdad, A. H., Morse, A. R., Naderi, M., Naidoo, K. S., Nangia, V., Nguyen, H. L. T., Ogundimu, K., Olagunju, A. T., Panda-Jonas, S., Pesudovs, K., Peto, T., Ur Rahman, M. H., Ramulu, P. Y., Rawaf, D. L., Rawaf, S., Reinig, N., Robin, A. L., Rossetti, L., Safi, S., Sahebkar, A., Samy, A. M., Serle, J. B., Shaikh, M. A., Shen, T. T., Shibuya, K., Shin, J. I., Silva, J. C., Silvester, A., Singh, J. A., Singhal, D., Sitorus, R. S., Skiadaresi, E., Soheili, A., Sousa, R. A. R. C., Stambolian, D., Tadesse, E. G., Tahhan, N., Tareque, Md. I., Topouzis, F., Tran, B. X., Tsilimbaris, M. K., Varma, R., Virgili, G., Wang, N., Wang, Y. X., West, S. K., Wong, T. Y., Jonas, J. B., Vos, T., University of Washington [Seattle], Anglia Ruskin University (ARU), Imperial College London, University of Melbourne, Heidelberg University, Jahrom University of Medical Sciences, Aksum University, Cairo University, University of Sharjah, Wolkite University, Shahid Beheshti University of Medical Sciences [Tehran] (SBUMS), Shahid Beheshti University, The Fred Hollows Foundation, Iran University of Medical Sciences, University of Leipzig Medical Center, University of Thessaly [Volos] (UTH), Visibility Metrics LLC, Adigrat University, San Raffaele Hospital, Tehran University of Medical Sciences (TUMS), Bahir Dar University (BDU), University Hospital of Ioannina, Sultan Zainal Abidin University, Universita Vita Salute San Raffaele = Vita-Salute San Raffaele University [Milan, Italie] (UniSR), Charles University [Prague] (CU), Government Medical College Pali, All India Institute of Medical Sciences, National Institute of Biomedical Genomics, Babol University of Medical Sciences, Ufa Eye Research Institute, ondon School of Hygiene & Tropical Medicine, Service d'Ophtalmologie (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Employee State Insurance Post Graduate Institute of Medical Sciences and Research, University of Waterloo [Waterloo], Federal Polytechnic School of Lausanne, University of Minho, University of Adelaide, Singapore Eye Research Institute [Singapore] (SERI), Seoul National University Hospital, Hanoi National University of Education (HNUE), IRCCS San Raffaele Scientific Institute [Milan, Italie], University of Porto, Queen's University [Belfast] (QUB), University of Dammam - Imam Abdulrahman Bin Faisal University, Harvard University, University of Michigan [Ann Arbor], University of Michigan System, University of Gondar, Royal Liverpool University Hospital, Universiti Tunku Abdul Rahman (UTAR), National Autonomous University of Mexico (UNAM), Ministry of Health and Medical Education [Iran] (MOHME), Mahatma Gandhi University of Medical Sciences and Technology, Cairo University - Faculty of Medicine, National Institutes of Health [Bethesda] (NIH), Shahroud University of Medical Sciences, Federal University of Sao Paulo (Unifesp), University of Applied Sciences Ravensburg-Weingarten, University of São Paulo (USP), Datta Meghe Institute of Medical Sciences, University College of London [London] (UCL), Haramaya University, Sankara Nethralaya Medical Research Foundation, The University of Lahore, Indian Institute of Public Health Gandhinagar, Hamdan Bin Mohammed Smart University, University of Georgia, University of Utah, Institution of Public Health Sciences, Jigjiga Universit, University of Veterinary and Animal Sciences, Independent Consultant, The Chinese University of Hong Kong [Hong Kong], Manipal academy of Higher Education, Hamad Bin Khalifa University (HBKU), Yale University [New Haven], University of Ibadan, University of Belgrade [Belgrade], Faculty of Science of the University of Kragujevac, University of Kragujevac, Deakin University, Burwood, Australia, Deakin University [Burwood], University of Hail, Mysore Medical College, Banaras Hindu University [Varanasi] (BHU), Ophtalmologistes Associe Monastir, Qazvin University of Medical Sciences, The University of Sydney, John Paul II Catholic University of Lublin (KUL), Institute of Human Virology [Nigeria] (IHVN), Myungsung Medical College, Centre Hospitalier Universitaire Fattouma Bourguiba, Partenaires INRAE, Baku State University, Health Services Academy, L V Prasad Eye Institute, Health Ministers Council Gulf Cooperative Council Stat, Medical College of Wisconsin [Milwaukee] (MCW), Xiamen University Malaysia, Yonsei University, Oslo Metropolitan University (OsloMet), School of Optometry and Vision Science, UNSW Sydney, Sydney, NSW, Australia, Brien Holden Vision Institute, Fondation Théa, The Fred Hollows Foundation, Bill & Melinda Gates Foundation, Lions Clubs International Foundation, Sightsavers International, and University of Heidelberg., and GBD 2019 Blindness and Vision Impairment Collaborators* on behalf of the Vision Loss Expert Group of the Global Burden of Disease Study.
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Pediatrics ,medicine.medical_specialty ,Refractive error ,Visual acuity ,genetic structures ,Eye disease ,030231 tropical medicine ,Population ,Glaucoma ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Global health ,030212 general & internal medicine ,[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs ,education ,education.field_of_study ,business.industry ,Articles ,General Medicine ,Diabetic retinopathy ,Macular degeneration ,medicine.disease ,eye diseases ,3. Good health ,medicine.symptom ,business - Abstract
Background: Many causes of vision impairment can be prevented or treated. With an ageing global population, the demands for eye health services are increasing. We estimated the prevalence and relative contribution of avoidable causes of blindness and vision impairment globally from 1990 to 2020. We aimed to compare the results with the World Health Assembly Global Action Plan (WHA GAP) target of a 25% global reduction from 2010 to 2019 in avoidable vision impairment, defined as cataract and undercorrected refractive error. Methods: We did a systematic review and meta-analysis of population-based surveys of eye disease from January, 1980, to October, 2018. We fitted hierarchical models to estimate prevalence (with 95% uncertainty intervals [UIs]) of moderate and severe vision impairment (MSVI; presenting visual acuity from
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- 2021
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8. Using Protection Motivation Theory to Predict Intentions for Breast Cancer Risk Management: Intervention Mechanisms from a Randomized Controlled Trial
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David Farrell, George Luta, Kelly Ehrlich, Jinani Jayasekera, Claire C. Conley, Jeanne S. Mandelblatt, Marc D. Schwartz, Erin J. Aiello Bowles, Kathleen A. Leppig, Tengfei Li, Karen J. Wernli, Amanda L. Graham, Suzanne C O'Neill, Sarah Knerr, and Hongyuan Gao
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medicine.diagnostic_test ,business.industry ,Public Health, Environmental and Occupational Health ,medicine.disease ,law.invention ,Response efficacy ,Risk perception ,Breast cancer ,Oncology ,Protection motivation theory ,Randomized controlled trial ,law ,Intervention (counseling) ,Medicine ,Breast MRI ,business ,Risk management ,Clinical psychology - Abstract
The purpose of this study is to evaluate the direct and indirect effects of a web-based, Protection Motivation Theory (PMT)–informed breast cancer education and decision support tool on intentions for risk-reducing medication and breast MRI among high-risk women. Women with ≥ 1.67% 5-year breast cancer risk (N = 995) were randomized to (1) control or (2) the PMT-informed intervention. Six weeks post-intervention, 924 (93% retention) self-reported PMT constructs and behavioral intentions. Bootstrapped mediations evaluated the direct effect of the intervention on behavioral intentions and the mediating role of PMT constructs. There was no direct intervention effect on intentions for risk-reducing medication or MRI (p’s ≥ 0.12). There were significant indirect effects on risk-reducing medication intentions via perceived risk, self-efficacy, and response efficacy, and on MRI intentions via perceived risk and response efficacy (p’s ≤ 0.04). The PMT-informed intervention effected behavioral intentions via perceived breast cancer risk, self-efficacy, and response efficacy. Future research should extend these findings from intentions to behavior. ClinicalTrials.gov Identifier: NCT03029286 (date of registration: January 24, 2017).
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- 2021
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9. Detection of Posterior Segment Eye Disease in Rural Eye Camps in South India
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Dayakar Yadalla, Emily M. Schehlein, Rengaraj Venkatesh, Joshua D. Stein, Joshua R. Ehrlich, and David W. Hutton
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0303 health sciences ,Pediatrics ,medicine.medical_specialty ,Refractive error ,genetic structures ,Referral ,medicine.diagnostic_test ,business.industry ,Eye disease ,Visual impairment ,Fundus photography ,Glaucoma ,Diabetic retinopathy ,medicine.disease ,eye diseases ,Posterior segment of eyeball ,03 medical and health sciences ,Ophthalmology ,0302 clinical medicine ,030221 ophthalmology & optometry ,Medicine ,medicine.symptom ,business ,030304 developmental biology - Abstract
Purpose Rural screening camps in India historically have focused on detection of cataract and uncorrected refractive error. This study aimed to increase detection, referral, and follow-up for posterior segment diseases (PSDs) in rural eye camps using a novel technology-driven eye camp model. Design A clustered nonrandomized trial in the catchment area of Aravind Eye Care System (AECS) Pondicherry, to compare 2 eye camp models: the traditional AECS eye camp model and the novel, technology-driven, eye camp model. Participants Patients 40 to 75 years of age who attended free camps conducted by AECS Pondicherry. Those with corneal pathologic features were excluded because this precluded an adequate view of the posterior segment to screen for PSD. Methods The clinical protocols in the 2 arms were standardized and the same study team was used in both study arms. The unit of allocation to the 2 study arms was at the level of the eye camp, rather than the level of the individual study participant. Main Outcome Measures The primary study outcome was detection of suspected PSD (glaucoma, diabetic retinopathy, age-related macular degeneration, other PSDs). Secondary outcomes included: (1) the proportion of referred participants who underwent an examination at the base hospital and (2) the proportion with confirmed PSD on examination at the base hospital. Results The study included 11 traditional and 18 novel eye camps with a total of 3048 participants (50% in each study arm). The mean age of all participants was 58.4 ± 9.1 years and 1434 participants (47%) were men. The proportion receiving a referral for PSD was significantly greater in the novel (8.3%) compared with the traditional (3.6%) eye camp (P Conclusions In a resource-constrained setting, use of digital fundus photography in novel eye camps resulted in increased detection of and referral for PSD. Further research is needed to determine whether this intervention is cost effective and may contribute to prevention of avoidable blindness and visual impairment in South India. Further research also is needed to improve follow-up of patients referred from camps for suspicion of PSD.
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- 2021
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10. Diet composition influences the metabolic benefits of short cycles of very low caloric intake
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Farzin Eshaghi, Sebastian Brandhorst, Tyler Rhinesmith, Jacqueline M. Moats, Laura C. D. Pomatto-Watson, Alberto Diaz-Ruiz, Julie A. Mattison, Miguel A. Aon, Nathan L. Price, Annamaria L Rudderow, Melissa Carpenter, Valter D. Longo, Margaux R. Ehrlich, Rafael de Cabo, and Michel Bernier
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Male ,Calorie ,Science ,General Physics and Astronomy ,Physiology ,Male mice ,Article ,General Biochemistry, Genetics and Molecular Biology ,Mice ,medicine ,Animals ,Obesity ,Caloric Restriction ,Multidisciplinary ,business.industry ,Diet composition ,General Chemistry ,medicine.disease ,Caloric intake ,Ageing ,Metabolism ,Physical performance ,Lean body mass ,Energy Intake ,business - Abstract
Diet composition, calories, and fasting times contribute to the maintenance of health. However, the impact of very low-calorie intake (VLCI) achieved with either standard laboratory chow (SD) or a plant-based fasting mimicking diet (FMD) is not fully understood. Here, using middle-aged male mice we show that 5 months of short 4:10 VLCI cycles lead to decreases in both fat and lean mass, accompanied by improved physical performance and glucoregulation, and greater metabolic flexibility independent of diet composition. A long-lasting metabolomic reprograming in serum and liver is observed in mice on VLCI cycles with SD, but not FMD. Further, when challenged with an obesogenic diet, cycles of VLCI do not prevent diet-induced obesity nor do they elicit a long-lasting metabolic memory, despite achieving modest metabolic flexibility. Our results highlight the importance of diet composition in mediating the metabolic benefits of short cycles of VLCI., Understanding the contribution of diet composition, calories and length of fasting in health maintenance is still challenging. Here the authors compare the effects of cycles of intermittent very low calorie intake achieved with a plant-based fasting mimicking diet or standard laboratory chow to provide insights into the role played by diet composition in mediating the metabolic benefits of short cycles of very low-calorie intake in mice.
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- 2021
11. Demographics of Gastroparesis Hospitalizations Through the Age Spectrum Using National Inpatient Databases
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Henry P. Parkman, Laurence H Feinstein, Adam C. Ehrlich, Rachel Thomas, Zubair Malik, and Dariush Shahsavari
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Adult ,Male ,Chronic condition ,Gastroparesis ,Adolescent ,Databases, Factual ,Demographics ,Hospitalized patients ,computer.software_genre ,Young Adult ,International Classification of Diseases ,Humans ,Medicine ,Child ,Demography ,Inpatients ,Database ,business.industry ,Native american ,Diabetic gastroparesis ,Gastroenterology ,Secondary diagnosis ,Middle Aged ,medicine.disease ,United States ,Hospitalization ,Child, Preschool ,Etiology ,Female ,business ,computer - Abstract
GOAL The goal of this study was to characterize the etiology and demographics of hospitalized patients with gastroparesis (Gp) across different age groups. BACKGROUND Gp is a chronic condition associated with increasing hospitalizations and costs. The gender and etiology distributions of Gp throughout the age spectrum are unknown. MATERIALS AND METHODS Nationwide Inpatient Sample (NIS) and Kid's Inpatient Database (KID) were used to identify patients using International Classification of Diseases (ICD)-10 codes for Gp as a primary diagnosis or as secondary diagnosis with the first diagnosis a GI-related symptom. RESULTS There were a total of 15,790 admissions (75.6% female, age: 46.2±18.0 y). After age 6, female admissions percentage increased: ages 2 to 5: 45.0%, ages 6 to 12: 62.8%, ages 13 to 20: 76.7% (P
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- 2021
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12. Positive and negative ways that informal caregivers are affected by weight and weight management efforts for care recipients with spinal cord injury
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Linda Ehrlich-Jones, Jessica Presperin Pedersen, Allen W. Heinemann, and Sherri L. LaVela
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Gerontology ,Rehabilitation ,business.industry ,Qualitative interviews ,medicine.medical_treatment ,media_common.quotation_subject ,Overweight ,medicine.disease ,Care recipient ,Caregivers ,Weight management ,Health care ,medicine ,Happiness ,Humans ,Disabled Persons ,Independent Living ,Thematic analysis ,business ,Psychology ,Spinal cord injury ,Spinal Cord Injuries ,media_common - Abstract
PURPOSE To understand how informal caregivers are affected by weight and weight management of care recipients with SCI. MATERIALS AND METHODS In-depth qualitative interviews were conducted with 24 informal caregivers of community-dwelling Veterans and civilians with SCI. Thematic analysis was conducted. RESULTS Three themes described how the care recipient's weight management efforts impacted the caregiver, including: (1) motivation and involvement in weight management efforts for themselves, (2) emotional well-being (positive and negative aspects), and (3) physical tasks (both ease and burden). Caregivers may experience emotional and/or physical burden by taking on extra caregiving tasks to help with care recipient's weight management. Caregivers also may experience positive impacts from the care recipient's weight management efforts, regardless of who drove the efforts, including improvement in their own motivation and involvement in weight management, enhanced emotional well-being (happiness for and with the care-recipient), and making physical caregiving tasks easier. CONCLUSIONS Rehabilitation providers can use these findings to educate dyads about potential impacts of weight management efforts for the care recipient, specifying areas that may cause burden but emphasizing the potential benefits for both recipient and caregiver. Integrating this education into rehabilitation practice may reduce overweight-related problems with function and declines in disability among dyads.Implications for RehabilitationInformal caregivers experience both positive and negative consequences with regard to weight management for individuals with SCI.Helping their loved one with weight management can facilitate informal caregivers' involvement in their own weight management activities.Findings may offer guidance to healthcare and rehabilitation providers as they incorporate weight management into education programs for informal caregivers of persons with SCI.Integrating this education into rehabilitation practice may reduce or delay overweight-related problems with function and declines in disability among dyads.
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- 2021
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13. The Global Diet Quality Score Is Inversely Associated with Nutrient Inadequacy, Low Midupper Arm Circumference, and Anemia in Rural Adults in Ten Sub-Saharan African Countries
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Michelle D. Holmes, Sabri Bromage, Megan Deitchler, Shilpa N Bhupathiraju, Teresa T. Fung, Walter C. Willett, Sonia Ehrlich Sachs, Yiwen Zhang, Meir J. Stampfer, Wafaie W. Fawzi, Jeffrey D. Sachs, Roseline Remans, Carolina Batis, Yanping Li, and Jessica Fanzo
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sub-Saharan Africa ,Adult ,Male ,Rural Population ,Vitamin ,double burden of malnutrition ,Adolescent ,Anemia ,dietary diversity ,Medicine (miscellaneous) ,Overweight ,AcademicSubjects/MED00060 ,Young Adult ,chemistry.chemical_compound ,nutrition transition ,Nutrition transition ,medicine ,Humans ,Micronutrients ,Prospective cohort study ,noncommunicable disease ,Africa South of the Sahara ,Nutrition and Dietetics ,Anthropometry ,Nutritional epidemiology ,business.industry ,Malnutrition ,Millennium Villages Project ,Nutrients ,Middle Aged ,medicine.disease ,diet quality metrics ,Obesity ,Diet ,nutritional epidemiology ,chemistry ,Arm ,AcademicSubjects/SCI00960 ,Female ,Dietary Proteins ,GDQS ,Diet, Healthy ,medicine.symptom ,business ,Supplement ,nutrient adequacy ,Demography - Abstract
Background Key nutrient deficits remain widespread throughout sub-Saharan Africa (SSA) whereas noncommunicable diseases (NCDs) now cause one-third of deaths. Easy-to-use metrics are needed to track contributions of diet quality to this double burden. Objectives We evaluated comparative performance of a novel food-based Global Diet Quality Score (GDQS) against other diet metrics in capturing nutrient adequacy and undernutrition in rural SSA adults. Methods We scored the GDQS, Minimum Dietary Diversity–Women (MDD-W), and Alternative Healthy Eating Index–2010 (AHEI-2010) using FFQ data from rural men and nonpregnant, nonlactating women of reproductive age (15–49 y) in 10 SSA countries. We evaluated Spearman correlations between metrics and energy-adjusted nutrient intakes, and age-adjusted associations with BMI, midupper arm circumference (MUAC), and hemoglobin in regression models. Results Correlations between the GDQS and an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B-12 adequacy were 0.34 (95% CI: 0.30, 0.38) in men and 0.37 (95% CI: 0.32, 0.41) in women. The GDQS was associated (P
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14. Development and Validation of a Novel Food-Based Global Diet Quality Score (GDQS)
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Teresa T. Fung, Mourad Moursi, Walter C. Willett, Carolina Batis, Yanping Li, Shilpa N Bhupathiraju, Selma Gicevic, Sonia Ehrlich Sachs, Sheila Isanaka, Sabri Bromage, Dalia Stern, Mika Matsuzaki, Erick Angulo, Sanjay Kinra, Megan Deitchler, Yuehui Fang, Yuna He, Wafaie W. Fawzi, Meir J. Stampfer, Nick Birk, Yiwen Zhang, Michelle D. Holmes, and Analí Castellanos-Gutiérrez
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double burden of malnutrition ,dietary diversity ,Population ,Nutritional Status ,Medicine (miscellaneous) ,Food group ,AcademicSubjects/MED00060 ,Risk Factors ,nutrition transition ,Environmental health ,Food Quality ,medicine ,Nutrition transition ,Humans ,Longitudinal Studies ,Micronutrients ,education ,noncommunicable disease ,Metabolic Syndrome ,education.field_of_study ,Nutrition and Dietetics ,Anthropometry ,business.industry ,Nutritional epidemiology ,monitoring and evaluation ,medicine.disease ,diet quality metrics ,Diet ,nutritional epidemiology ,Malnutrition ,Cross-Sectional Studies ,Nutrition Assessment ,nutrition surveillance ,AcademicSubjects/SCI00960 ,Dietary Proteins ,Metric (unit) ,Diet, Healthy ,GDQS ,Underweight ,medicine.symptom ,business ,Nutritive Value ,Biomarkers ,Supplement ,nutrient adequacy - Abstract
Background Poor diet quality is a major driver of both classical malnutrition and noncommunicable disease (NCD) and was responsible for 22% of adult deaths in 2017. Most countries face dual burdens of undernutrition and NCDs, yet no simple global standard metric exists for monitoring diet quality in populations and population subgroups. Objectives We aimed to develop an easy-to-use metric for nutrient adequacy and diet related NCD risk in diverse settings. Methods Using cross-sectional and cohort data from nonpregnant, nonlactating women of reproductive age in 10 African countries as well as China, India, Mexico, and the United States, we undertook secondary analyses to develop novel metrics of diet quality and to evaluate associations between metrics and nutrient intakes and adequacy, anthropometry, biomarkers, type 2 diabetes, and iteratively modified metric design to improve performance and to compare novel metric performance to that of existing metrics. Results We developed the Global Diet Quality Score (GDQS), a food-based metric incorporating a more comprehensive list of food groups than most existing diet metrics, and a simple means of scoring consumed amounts. In secondary analyses, the GDQS performed comparably with the Minimum Dietary Diversity - Women indicator in predicting an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B12 adequacy and with anthropometric and biochemical indicators of undernutrition (including underweight, anemia, and serum folate deficiency), and the GDQS also performed comparably or better than the Alternative Healthy Eating Index - 2010 in capturing NCD-related outcomes (including metabolic syndrome, change in weight and waist circumference, and incident type 2 diabetes). Conclusions The simplicity of the GDQS and its ability to capture both nutrient adequacy and diet-related NCD risk render it a promising candidate for global monitoring platforms. Research is warranted to validate methods to operationalize GDQS assessment in population surveys, including a novel application–based 24-h recall system developed as part of this project.
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- 2021
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15. <scp>Self‐reported</scp> dual sensory impairment, dementia, and functional limitations in Medicare beneficiaries
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Michael McKee, Judith D. Kasper, Bonnielin K. Swenor, Lama Assi, Alison Huang, Jennifer A. Deal, Nicholas S. Reed, Joshua R. Ehrlich, Frank R. Lin, and Yunshu Zhou
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Male ,medicine.medical_specialty ,Activities of daily living ,medicine.medical_treatment ,Population ,Audiology ,Medicare ,Article ,symbols.namesake ,Prevalence ,medicine ,Humans ,Dementia ,Multiple Chronic Conditions ,Poisson Distribution ,Poisson regression ,Mobility Limitation ,Association (psychology) ,education ,Aged ,Aged, 80 and over ,education.field_of_study ,Rehabilitation ,business.industry ,Dual sensory impairment ,medicine.disease ,United States ,Cross-Sectional Studies ,Functional Status ,Sensation Disorders ,Cohort ,symbols ,Regression Analysis ,Female ,Self Report ,Geriatrics and Gerontology ,business - Abstract
BACKGROUND Vision and hearing impairments often co-exist with dementia, and all are independently associated with limitations in daily activities. Our aim was to examine the association of dual sensory impairment with functional limitations, and further examine the combined estimated association of sensory impairment and dementia with these functional limitations. METHODS Cross-sectional analysis of the National Health and Aging Trends Study (NHATS), a population-based cohort of Medicare beneficiaries, was performed. Participants were selected from the 2015 round. Survey weighted Poisson regression models adjusted for dementia, demographics, and health status variables examined the association of self-reported dual sensory impairment (no sensory impairment, single sensory impairment, dual sensory impairment) with scores of limitations in mobility, self-care, and household activities. Models were repeated to take into account the combined effects of dual sensory impairment and dementia. RESULTS Overall, 7124 participants representative of Medicare beneficiaries 65 years or older were included. Of them, 43.9% were 75 years or older and 55.3% were female. Older adults with dual sensory impairment had greater limitations with mobility (prevalence rate ratio [PRR] = 1.45, 95% CI = 1.28-1.63), self-care (PRR = 1.41, 95% CI = 1.25-1.59), and household activities (PRR = 1.54, 95% CI = 1.37-1.72) compared with those without sensory impairment. They also had greater limitations than those with a single sensory impairment across the different activity categories. In models taking into account the combined estimated effect of both sensory impairment and dementia, those with dual sensory impairment and dementia had greater limitations than those without sensory impairment or dementia in each category (mobility: PRR = 1.85, 95% CI = 1.59-2.14, self-care: PRR = 1.86, 95% CI = 1.59-2.18, household: PRR = 2.41, 95% CI = 2.09-2.77). CONCLUSIONS Older adults with dual sensory impairment had greater functional limitations compared with those without sensory impairment and those with a single sensory impairment. Strategies to improve visual and/or hearing function (e.g., sensory aids, rehabilitation) could potentially help prevent or minimize disability, even among those with dementia.
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- 2021
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16. Biopsy-proven lymphocytic myocarditis following first mRNA COVID-19 vaccination in a 40-year-old male: case report
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Sebastian Hüttinger, Karin Klingel, Nitin Sood, Susanne Ohlmann-Knafo, Dirk Pickuth, Peter Ehrlich, and Michael Kindermann
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medicine.medical_specialty ,2019-20 coronavirus outbreak ,Myocarditis ,Coronavirus disease 2019 (COVID-19) ,medicine.diagnostic_test ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,General Medicine ,medicine.disease ,Lymphocytic myocarditis ,Letter to the Editors ,Vaccination ,Internal medicine ,Immunology ,Biopsy ,Cardiology ,medicine ,Cardiology and Cardiovascular Medicine ,business - Published
- 2021
17. SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study
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Nepogodiev, Dmitri, Simoes, Joana FF, Elizabeth, Li, Picciochi, Maria, Glasbey, James C, Baiocchi, Glauco, Blanco‐colino, Ruth, Chaudhry, Daoud, Alameer, Ehab, El‐boghdadly, Kariem, Wuraola, Funmilola, Ghosh, Dhruva, Gujjuri, Rohan R, Harrison, Ewen M, Lule, Herman, Kaafarani, Haytham, Khosravi, Mohammad, Kronberger, Irmgard, Leventoğlu, Sezai, Mann, Harvinder, Mclean, Kenneth A, Mengesha, Mengistu Gebreyohanes, Modolo, Maria Marta, Ntirenganya, Faustin, Norman, Lisa, Outani, Oumaima, Pius, Riinu, Pockney, Peter, Qureshi, Ahmad Uzair, Roslani, April Camilla, Satoi, Sohei, Shaw, Catherine, Bhangu, Aneel, Omar, Omar M, Ahmed, Waheed‐ul‐rahman, Argus, Leah, Ball, Alasdair, Bywater, Edward P, Brar, Amanpreet, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Jones, Conor S, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Marson, Ella J, Ots, Riinu, Santos, Irène, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, William, Xu, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Townend, Philip, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Hossain, Kamral, Padmore, Greg, Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Gomes, Gustavo Mendonça Ataíde, Buarque, Igor Lima, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Martin, Janet, Ng‐kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong‐lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Hadzibegovic, Ana Danic, Kopjar, Tomislav, Mihanovic, Jakov, Jiménez, Pablo Mijahil Avilés, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El‐hussuna, Alaa, Batista, Sylvia, Lincango‐naranjo, Eddy, Emile, Sameh, Sandoval, Danilo Alfonso Arévalo, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Acquah, Daniel Kwesi, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera‐arevalo, Maria‐lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Kembuan, Gabriele, Milan, Peiman Brouki, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin‐young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Sánchez, Iran Irani Durán, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Medina, Antonio Ramos‐De, Nunez, Jade, Nashidengo, Pueya Rashid, Shah, Rakesh, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur‐rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi‐olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Sayyed, Raza, Mohsen, Mustafa Abo, Abukhalaf, Sadi A., Cukier, Moises, Gomez‐fernandez, Hugo, Yip, Sebastian Shu, Ojeda, Ximena Paola Vasquez, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard‐alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Ingabire, Jc Allen, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Dieu, Haragirimana Jean, Munyaneza, Emmanuel, Ncogoza, Isaie, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Bravo, Ana Maria Minaya, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam, Mohammed Elmujtba Adam Essa, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Huang, Abel, Lohsiriwat, Varut, Charles, Shane, Jlassi, Haithem, Isik, Arda, Lekuya, Hervé Monka, Kopetskyi, 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Mohamed, Abu‐mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu‐ismail, Luai, Khamees, Almu’Atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Mohammed, Alsnosy Abdullah Khalefa, Al Maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa Hassan Abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Amer, Anass Ben, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Islam Ben Jouira, Rayet, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, 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Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Dimofte, Mihail‐gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Pykhteev, Vadim, Raevskaya, Marianna, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Almulhim, Abddulrahman Saleh, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, Alfakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Yousef, Awad, Selmy, Konate, Ibrahima, Tendeng, Jacques, Teo, Nan Zun, Aqil, Sabra, López, Cristina Barrena, Mozo, Ana Sánchez, Infante, Antonio Rodriguez, Vivancos, Patricia Caja, Prieto, Mikel, Roman, Igor Alberdi San, Fernandez, Laura Gomez, Vives, Josep Maria Muñoz, Carreras‐castañer, Anna, Díaz‐feijoo, Berta, Sieira‐gil, Ramon, Turrado‐rodriguez, Victor, López, Anna Sánchez, 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Nicholson, Kristina, Squiers, John, Lueckel, Stephanie, Reisenauer, Janani, Callcut, Rachael, Mansour, Ahmed, Berndtson, Allison, Kornblith, Lucy, Seegert, Sara, Martins, Paulo, Al‐shehari, Mohammed, Al‐raimi, Ibrahim, Ngulube, Allan, Siamuchembu, Maphios, Mushiwokufa, Willard, Mlambo, Busisiwe, Chinyowa, Simbarashe, Bollano, Enton, Gjyli, Kostandin, Kerpaci, Jola, Vrapi, Enxhi, Zijaj, Lorena, Djahida, Bahraoui, Zohra, Belabbes Fatima, Khadidja, Kouidri, Bali, Oussama, Benallel, Nassim, Lalmi, Ismahene, Abdoun, Meriem, Aouabed, Nesrine, Bouaoud, Souad, Bouchenak, Kamel, Haif, Assia, Soualili, Zineddine, Bastet, Joaquin, Bianco, Agustín, Capitaine, Daniel, Lozada, Jorge Centeno, Esquivel, Carlos, Figueroa, Rodrigo, Garcia, Manuel, García, Pablo Martín, Gerchunoff, José Ignacio, Iascano, Fernando Martinez, Mondino, Jose, Muriel, María Emilia, Pablo, Carmignani, Passadore, Martin, Tornini, Alejandra, Traverso, Rogelio, Vargas, Lara, Zanoni, Gerardo, Berber, Norberto, Cotta, Estefanía, Di 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Gustavo, Mata‐suarez, Santiago Miguel, Mayer, Horacio F., Loughlin, Santiago Mc, Mendoza, Efrain, Mentz, Ricardo Esteban, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Oliva, Agustina Rene, Vidal, Rafael Perez, Poggi, Catalina, Premoli, Eduardo Jorge, Ramos, María Lourdes, Rosas, Patricio, Rossi, Luciano, Rossi, Gustavo, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Stang, María Verona, Taboada, María Victoria, Tirapegui, Sebastian, Uffelmann, Constanza, Vaccaro, Carlos, Vagni, Roberto, Valerio, Ana Clara, Zarratea, Celeste Soledad, Montal, Silvina, Morris, Brian, Valdez, Pedro, Diaz‐couselo, Fernando, Sabatini, Luciana, Alvarez, Fernando Andres, Avila, Micaela, Benitez, Nicole Benitez, Bruera, Nicolás, Doniquian, Marcelo, Gielis, Manuel, Liaño, Julian, Llahi, Florencia, Mandojana, Facundo, Páez, Walter, Parodi, Matias, Molina, Héctor Picon, Pinsak, Agustin, Viscido, German, Badra, Roberto, Belisle, Diego, Borla, Hernan, Eberle, Georgina, Esteban, Agustin, Ferrero, Carlos Ignacio, Furlan, Micaela, García, José Sebastian, Granero, Lucas, Henzenn, Mariel, Juaneda, Rodrigo, Vidal, Esteban Politi, Reyna, Guillermo Romero, Montero, José Gabriel Yaryura, Caubet, Maria Mercedes, D’Addino, José Luis, Daryanani, Deepu, Gosselink, Martijn, Ponson, Alex, Afzal, Mohamed, Amprayil, Mathew, Brooke‐smith, Mark, Chen, John, Grantham, James, Gricks, Benjamin, Hii, Amanda, Kundu, Nikhil, Liu, David, Livingston, Charles, Marshall‐webb, Matthew, Mcveay, Christina, Moore, Hamish, Nair, Gavin, Ong, Bee Shan, Parker, Dominic, Rudolph‐stringer, Victoria, Szpytma, Malgorzata, Vissapragada, Ravi, Wee, Melissa Yun, Wong, Geoffrey Yuet Mun, Barnett, Dylan Richard, Bochner, Melissa, Bolt, John, Buddingh, Karel, Coventry, Brendon, Davis, Sean, Dawson, Joseph, Denham, Stuart, Dobbins, Christopher, Fitridge, Robert, Gan, Siang Wei, Haque, Izhar‐ul, Herath, Matheesha, Jog, Shivangi, Kanhere, Harsh, Kuang, Beatrice, Lam, Yick Ho, Lambert, Virginia, Lim, Alicia, Maina, Grace, Moller, Cea‐cea, Neo, Eu Nice, Neo, Eu Ling, Nguyen, Alain, Prasad, Shalvin, Roy, Jennifer, Russell, Christine, Sammour, Tarik, Smith, Nicholas, Smith, Richard, Stranz, Conrad, Tourani, Saam, Tran, Steven, Van de Ven, Lucinda, Warren, Leigh, Whitfield, Robert, Wormald, Jamie, Yin, Yijie, Bierton, Christopher, Cribb, Benjamin, Foley, Katarina, Ong, Daniel, Watson, Matthew, Hampton, Jacob, Karam, James, Rugendyke, Anya, Zhang, Tyson, Vasey, Carolyn, Apellaniz, Eduardo, Frankel, Adam, Gahan, Lara, Guerra, Glen R, Liesegang, Amanda, Lutton, Nicholas, Maurice, Andrew, Miron, Scott, Prasad, Aveechal, Sercombe, Ashleigh, Sivapalan, Thanusan, Ahmad, Syed Danial Syed, Tee, Chin Li, Yaksich, Lachlan, Batstone, Martin, Breik, Omar, Young, Thomas, Field, Michael, Scott, Benjamin, Charlton, Gabriella, Chen, Si, Cheung, Henry Yan Chi, Gauri, Neha, Hayhurst, Ross, James, Sophie, Jang, Seyoung, Jia, Fangzhi, Zhang, Helen, Aujla, Randeep, Finsterwald, Michael, Percy, Digby, Tanaya, Alvin, Trivedi, Anand, Aylett, Andrew, Grills, Richard, Holmes, Angela, Kwok, Matthew Ming Kei, Lambers, Anton, Lambers, Leo, Lok, Evania, Nagra, Sonal, Page, Richard, Paltoglou, Nicholas, Panuganti, Vishwakar, Riddell, Sophie, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Amoils, Ricci, Bahtigur, Nazli, Bengeri, Savitha, Builth‐snoad, Lily, Cheah, Hock Ping, Chen, Paul, Chew, Kenneth, Chong, Alyssa, Clark, Sara, Kaul, Rhea Darbari, Devan, Eliya, Ewington, Christina, Fatima, Aleeza, Fitt, Sophia, Gaul, John, Ghosal, Paloma, Gojnich, Amy, Gunawardena, Indu, Hamer, Peter, Holmes, Samuel, Hou, Zhen, Jolly, Danielle, Kane, James Dimitri, Kaufman, Micayla, Khandelwal, Tanishq, Khanijaun, Sukhwant, Kwok, Kelvin, Latif, Edward, Laura, Sharon, Lee, Vivian, Leung, Catherine, Liang, Ina, Lin, Peter, Lun, Elizabeth Weng Yan, Luo, Haili, Victor, Ly, Jolande, Ma, Macnab, Brooke, Mcgee, Richard, Miles, Stephanie, Munro, William, Narroway, Harry, Ngan, Tin Yau, Noor, Anthony, Pahalawatta, Upuli, Park, Melissa, Parkin, Cameron, Poon, Rita, Somasundaram, Shanmugam S, Saab, Claudia, Simpson, Renwick, Steinel, Dana, Taylor, Emily, Tchen, Adrian, Thong, Shu, Tran, Kelvin, Tree, Kevin, Vance, Lucille, Wong, Ken, Victor, Yu, Zhang, Michael, Cox, Aram, Tan, David Chi Hau, Thani, Nova, Das, Shefali, Macdonald, Taigh, Salama, Paul, Sandhu, Gagandeep, Shadbolt, Rachel, Phan, Du, Townend, David, Eunmaro, Ju, Lee, Sang Mi, Barnett, Stephen, Kheslat, Hajar Hasan, Higgins, Andrew, Jamieson‐grigg, Chloe, Jenkins, Victoria, Larner, Brett, Perini, Marcos, Proud, David, Qin, Kirby, Riddiough, Georgina, Seevanayagam, Sivendran, Damien M., Wu, Zhao, Chris, Aggarwal, Sonali, Vinna, An, Battershell, Melanie, Chan, Elliot, Cheung, King Tung, Drake, Anna, Goonawardena, Janindu, Hunt, Benjamin, Christopher, Ip, Iyer, Vikram, Jain, Anshini, Kealey, Joshua, Lew, Chen, Lim, Christopher Seng Hong, Luck, Tara, Mackay, Sean, Maher, Natalie, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Steen, Christopher, Tsigaras, Zac, Tuttle, Zachary, Ward, Salena, Williams, Marli, Yeap, Evie, Zhou, Jessie, Coates, Amy, Mutalima, Nora, Tran, Ton, Nataraja, Ramesh, Sharpin, Claire, Bird, David, Choy, Kay Tai, Condron, Sarah, Daruwalla, Jurstine, Anjos, Isabela, El‐khoury, Hanna, Fabian, Robert, Gillard, Andrew, Greenop, Rebecca, Issa, Michael, Lee, Sharon, Mori, Krinal, Petrakis, Nikki, Qureshi, Maryum, Sabella, Danielle, Satasivam, Prassannah, Sathianathen, Niranjan, Seow, Sean Ezekiel, Shen, Amanda, Shi, Margaret, Tabassum, Meher, Teixeira, Rodrigo, Vivian‐taylor, Josephine, Wheatley, Jennifer, Shepherd, Sally, Soucisse, Mikael, King, Sebastian, O’Connor, Brendan, Teague, Warwick, Banting, Simon, Chong, Lynn, Clatworthy, Sharnel, Cochrane, Angela, Fox, Adrian, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Knowles, Brett, Newcomb, Andrew, Price, Veronique, Raman, Jaishankar, Read, Matthew, Rowcroft, Alistair, Taylor, Lillian, Wright, Gavin, Chana, Prem, Shaw, Kalai, Bock, Jacob, Cory, Jordan, Drummond, Katharine, Lahy, Jack, Mcintire, Thomas, Price, Benjamin, Stark, Claire, Besson, Alex, Gartrell, Richard, Lauritz, Brianne, Nguyen, Ha My Ngoc, Ong, Chui Foong, Pitcher, Meron, Scullion, Lorna, Tang, Howard, Taylor, Danielle, Wolf, Brigid, Wichmann, Matthias, Davis, Amelia, Maurel, Amelie, Raubenheimer, Kyle, Campbell, Cassidy, Colaco, Ashley, Machado, Maria Julia Corbetta, Heffernan, Abbie, Karihaloo, Costa, Ludbrook, Isabella, Park, Sean SW, Peerally, Bibi Nabeeha, Singhai, Camila, Stevens, Heidi, Vavilov, Sergey, Aubin, Anne‐marie, Harris, Margaret, Lim, Zhi Ying, Spring, Rebecca, Stieler, Melissa, Barnes, Nicholas Adamson, Alam, Ahmad Seraj, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Balogh, Zsolt J., Blatt, Alison, Cairns, Scott, Carroll, Jesse, Caterson, Andrew, Christie, Adam, Cope, Daron, Dale, Tyson, Dennis, Grace, Duggal, Anchal, Ennis, Brendan, Fenton, Mark, Yi Xin Joanna, Fu, Galevska‐dimitrovska, Ana, Gani, Jonathan, Gelzinnis, Scott, Gramlick, Madelyn, Hadlow, Claudia, Hardstaff, Ruth, Heer, Munish, Holmes, Merran, Hone, Bridget, Sophie, Hu, Huang, Linna, Iqbal, Ramiz, Jefferson, Niall, Kasthurirathne, Dimithi, Kuo, Stephen, Lau, Wayne Yan, Liang, Hsin‐ping, Lim, Daniel, Lin, Rosalina, Mcdonogh, Jack, Mcilwain, Elysse, Ming, Yan Joyce, O’Neill, Christine, Ocsan, Ryan James, Oosthuizen, Benjamin, Organ, Nicole, Otieno, James, Park, Felicity, Paterson, Amanda, Cerdeira, Marisol Perez, Peters, Luke, Petersson, Josefin, Rubbo, Sonia, Siribaddana, Venesa, Thurairajah, Kabilan, Ting, Caleb, Watson, Antonia, Way, Teagan, Wiadji, Elvina, Willoughby, Ellisha, Bailey, Ashley, Broadbent, Samuel, Narayanan, Viswanathan, Stephens, Samuel, Wilkes, Anna, Zhao, Jie, Ballal, Mohammed, D’Souza, Carl, Forbes, Clara, Goss, Matthew, Haddleton, Monique, Harty, Jacinda, Hayne, Dickon, Hew, Nicole, Koh, Wee Ling, Lee, Shawn, Malik, Shahbaz S, Abdul, Naseer Mohammed, Richards, Toby, Seow, Yi Th Ng, Wong, James, Archer, Leigh, Azaman, Nur Sabrina Binti Babe, Dilevska, Tina, Foo, Jonathan, Hans, Tasvinder, Jansen, Shirley, Kumar, Mohit, Leeson, Christopher, Pham, Terence, Pineda, Fernando Picazo, Rajakumar, Saravanan, Suk‐udom, Supisara, Tan, Jonathan, Thurston, Benjamin, Zhao, Bichen, Gupta, Shivangi, Hou, Lachlan, Jeyamanoharan, Nivedan, Leigh, James, Poh, Wei Shearn, Sala, Michael, Crothers, Rebecca, Dravid, Madhulika, Harrison, Ben, Islam, Sumayya, Mccartney, Conor, Nel, Henco, Pearson, Natasha, Apostolou, Christos, Berney, Christophe, Chou, Richard, Hanna, Sam, Lam, Andrew, Vanessa, Ma, Phanse, Salonee Shubhen, Elliott, Michael, Phung, Daniel, Barry, Jessica, Clark‐mackay, Eleanore, Cope, Jennifer, Halliwell, Richard, Chen, Ji, De Robles, Marie Shella, Llorando, Alyssa, Mahin, Humaira Haider, Rao, Dominic, Syed, Faisal, Abulafia, Daniel, Buckland, Benjamin, Cordingley, Timothy, Debiasio, Ashe, Drane, Andrew, Ireland, Patrick, Julien, Benji, Lan‐hoa, Le, Lee, Austin Yeon Suk, Loh, Eu Jhin, Middleton, Andrew, Mortimer, Brienna, Sebastian, Samuel, Short, Brooke, Stewart, Peter, Ruyven, Stephanie, Wong, Daniel, Zhang, Charry, Zhu, Bonnie, Ziaziaris, William, Leitner, Aran, Tolzman, Lukas, Zitt, Matthias, Rakos, Gergely, Székely, György, Djedovic, Gabriel, Königsrainer, Ingmar, Allmer, Caterina, Herritsch, Barbara, Mitteregger, Martin, Schauer, Christian, Seitinger, Gerald, Siebenhofer, Carmen, Uranitsch, Stefan, Duller, David, Mathew, Erwin, Skias, Christoph, Andrianakis, Alexandros, Belarmino, Armin, Brinskelle, Petra, Castellani, Christoph, Cohnert, Tina, Fediuk, Melanie, Fink, Andrea, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Leithner, Andreas, Lindenmann, Joerg, Lumenta, David, Michelitsch, Birgit, Mikalauskas, Saulius, Nischwitz, Sebastian P., Puchwein, Paul, Roj, Andrej, Schemmer, Peter, Singer, Georg, Smolle‐juettner, Freyja‐maria, Till, Holger, Wolf, Axel, Andraschofsky, Tibor Oliver, Angerer, Rafael, Arco, Daniel, Kaufmann, Claudia, Kilic, Nura, Widschwendter, Peter, Angermann, Reinhard, Bauer, Marlies, Bergmann, Nicole, Freyschlag, Christian, Gisinger, Martin, Gollmann‐tepeköylü, Can, Graber, Michael, Haim, Alexander, Harasser, Carina, Härter, Bettina, Hirsch, Jakob, Hofer, Markus, Holfeld, Johannes, Huber, Anna Lena, Kralinger, Martina, Krappinger, Dietmar, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Ninkovic, Marijana, Nowosielski, Yvonne, Osl, Antonia, Ower, Cornelia, Pölzl, Leo, Rauchegger, Teresa, Reimer, Daniel, Riecke, Johannes, Schwabegger, Anton H., Sokolovski, Filipp, Strimmer, Anna, Süss, Markus, Thaler, Martin, Umlauft, Julian, Zehetner, Claus, Zeimet, Alain G., Allerstorfer, Jakob, Haslhofer, David, Hofer, Daniel, Luger, Matthias, Pisecky, Lorenz, Poier, Nikolaus, Rubicz, Nina, Schmolmüller, Christoph, Zwittag, Paul, Rossmann, Tobias, Ruiz‐navarro, Francisco, Stefanits, Harald, Elsayed, Hend, Habertheuer, Peter, Hajkova, Tereza, Loidl, Wolfgang, Luger, Ferdinand, Windischbauer, Amadeus, Fischer, Ines, Függer, Reinhold, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Magele, Astrid, Mayr, Thomas, Noe, Chiara, Bittner, Reinhard, Borhanian, Kurosch, Dornauer, Isabella, Emmanuel, Klaus, Gabersek, Ana, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Hutter, Jörg, Jäger, Tarkan, Koch, Oliver, Lechner, Michael, Manzenreiter, Lisa, Mayer, Franz, Muehlbacher, Iris, Presl, Jaroslav, Rezaie, Daniel, Schredl, Philipp, Varga, Martin, Weitzendorfer, Michael, Wimmer, Angela, Brunner, Eberhard, Cillia, Michael, Gruber, Michaela, Grünbart, Martin, Heinrich, Elmar, Hoi, Hannes, Kemmetinger, Vanessa, Mittermair, Christof, Mosshammer, Victoria, Obrist, Christian, Paal, Peter, Roesch, Judith, Russe, Elisabeth, Schaetz, Tobias, Schirnhofer, Jan, Schwaiger, Karl, Wechselberger, Gottfried, Weiss, Helmut, Lanner, Maximilian, Binder, Alf‐dorian, Gürtler, Thomas, Fink, Marcus, Reichhold, Daniel, Stoyanova, Radoslava, Beitl, Klara, Bernardi, Martin H., Datler, Philip, Dawoud, Christopher, Farr, Alex, Foessleitner, Philipp, Grimm, Christoph, Harpain, Felix, Hoda, Mir Alireza, Holawe, Simone, Kranawetter, Marlene, Ott, Johannes, Perricos, Alexandra, Pesta, Maximilian, Pillerstorff, Robert, Reiterer, Christian, Riss, Stefan, Rosta, Klara, Scheriau, Georg, Tschernko, Edda, Wenzl, Rene, Wiedemann, Dominik, Wohlrab, Peter, Zapletal, Bernhard, Zimmermann, Matthias, Zimpfer, Daniel, Findl, Oliver, Fisus, Andreea, Ruiss, Manuel, Komaz, Melanie, Meindl, Nikolaus, Primavesi, Florian, Stadlbauer, Karl Heinz, Stättner, Stefan, Steiner, Florian, Cerny, Ondrej, Falkensammer, Eva, Knotzer, Hans, Köglberger, Paul, Poidinger, Bernhard, Wiesinger, Clemens Georg, Burtscher, Johannes, Rath, Sebastian, Trivik‐barrientos, Felipe, Aliyeva, Gunay, Behbudov, Vuqar, Muslumov, Gurbankhan, Zeynalov, Natiq, Alam, Mahmood, Alfayez, Fatema, Hasan, Batool, Mahdi, Maryam, Mulla, Husain, Qader, Kawthar, Saeed, Amr, Shirazi, Ahmed, Albastaki, Aysha, Birido, Nuha, Chagla, Hiba Hameed, Dawaishan, Abdulla, Dawaishan, Baheya, Farhan, Abeer, Juma, Isam, Khan, Asher, Patel, Aqsa Mohammad Eqbal, Srinivasan, Madhu, Deen, Fatema Waheed Akbar Mohamad Akbar Nawab, Abdulqadir, Seemal, Jabr, Abdulla, Maqsood, Fauzia, Almoosa, Noora, Naseer, Mai, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, Shahnoor, Islam, S. M. Nazmul, Karim, Sabbir, Faisel, Muntasir, Khan, Sadia, Mannan, Iftekhar Ibne, Nazia, Nawshin, Bentham, Malissa, Corbin, Sasha, Doyle, Alex, Eastmond, Asha, Haynes, Amelia, O’Shea, Margaret, Phillips, Emil, Walkes, Keisha, Artyushkov, Evgeniy L., Kaplan, Mark L., Straltsov, Vladislav, Litvina, Yauheniya, Lyzikov, Alexei, Tihmanovich, Victor E., Borges, Mafalda, Brits, Tim, De Hous, Nicolas, De Wachter, Stefan, Menovsky, Tomas, Mortiers, Xavier, Vermeulen, Dorien, Vleminckx, Nils, Ysebaert, Dirk, Bontinck, Julie, Bulthé, Danny, Rasschaert, Ricky, Van Haver, Anne‐sophie, Van Belle, Koen, Verstraeten, Laurence, Vounckx, Manon, D’Ulisse, Sébastien, De Bruyne, Yasmine, El Nakadi, Badih, Heloise, Tessely, Luisetto, Matteo, Marinakis, Sotirios, Maton, Maxime, Viste, Claire, Van Daele, Elke, Vandeputte, Mathieu, Duinslaeger, Marc, Jacobs‐tulleneers‐thevissen, Daniel, Jansen, Yanina, Janssens, Ward, Kunda, Rastislav, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Vanhoeij, Marian, Van den Eynde, Jef, Van den Eynde, Raf, Chaoui, Ahmed M., Akpla, Marcellin, Lawani, Souliath, Agossou, Hermann, Behanzin, Hulrich Aouagbe, Bokossa, Covalic, Dewanon, Hubert, Yome, Hugues, Boukari, Alassan, Gbehade, Oswald, Tobome, Sèmèvo Romaric, Amossou, Labissi Francois, Dossou, Francis, Barišić, Tatjana, Boras, Miran, Brekalo, Zdrinko, Blagojević, Ivana Čuljak, Damjanović, Ana, Dragisic, Vedran, Šimić, Ana Dugandžić, Gunaric, Filip, Kajic, Martin, Knežević, Darko, Krešić, Tanja, Lasić, Valentina, Letica, Ludvig, Martinovic, Vlatka, Mikulic, Iva, Miskovic, Josip, Pehar, Hrvoje, Rastović, Pejana, Sesar, Irena, Šetka‐čuljak, Violeta, Soljic, Martina, Tiric, Dejan, Tomić, Vajdana, Vasilj, Anja, Hudic, Igor, Oliver, Renato Aguera, Lamonica, Felipe Azenha, De Medeiros, Jorge, Florindo, Henrique Donizetti Bianchi, Filho, Rodolfo Jose Favaretto, Pereira, Fernanda Costa, Rodrigues, Rodrigo, Junior, Antonio Antunes Rodrigues, Andrade, Fernanda Ruiz, Salvetti, Maisa, Campioto, Débora Schalge, Lamonica, Mayra Tuboi, Urbano, Gustavo, Prado, Ricardo Villela, Alonso, Nivaldo, Santos, Carlos Ferreira, Tonello, Cristiano, Pires, Robinson Esteves, Rezende, Ricardo Fernandes, Reis, Igor, Marson, Fernando Augusto Lima, Ferreira, Erick Pires, Palamim, Camila Vantini Capasso, Brandao, Marcelo, Souza, Tiago Henrique, Maunsell, Rebecca, Neto, Alfeu Accorsi, Accorsi, Guilherme, Fernandes, Murilo Francisco, Machareth, Camila, Moura, Barbara Viegas, Dias, Vanessa, Guarienti, Luciano, Sampaio, Lia Regina, Vendrame, Cristiano, Coelho, Tatiane Amorim, Becker, Karin, Dias, Andre, Fachin, Camila Girardi, Gomes‐da‐silva, Monica Maria, Moraes, Isabela, Pinto, Amanda, Stychnicki, Adriano Seikiti, Julio, Nathalia Siqueira, Santos, José Mauro, Junior, Humberto Fenner Lyra, Oliveira, João Carlos Costa, Onzi, Tiago Rafael, Gerber, Marlus Tavares, Coelho, Filipe Osni, Silva, Janaína Carla, Panis, Carolina, Rech, Daniel, Avelino, Melissa, Botacin, Lais, Gonçalves, Mateus Capuzzo, Santos Leite, Amanda Lira, Pol‐fachin, Laercio, Bezerra, Tainá Santos, Santos Junior Alcimar, Alcimar Lavareda, Amorim, Robson, Leão, Maria Eduarda Bellotti, Bergamasco, João José Corrêa, Pinheiro, Cintia Cardoso, Neto, Rubem Alves Da Silva, De Araújo, Elaine Francisca, Guimaraes, Lilian, Liborio‐kimura, Tatiana, Camara, Isabelle Melo, Siqueira, Victor Ripardo, Rodriguez, Juan, Silva, Jeancarllo, Junior, Rubem Alves Silva, Cardoso, Cláudio, Guimaraes, Andre, Alves, Wislene Sarajane Moreira, Menezes, Agna Soares Da Silva, Araujo, Marcelo, Brito, Kattiucy, Albuquerque, Josie Marcelle Lira, Dussan‐sarria, Jairo Alberto, Souza, Andressa, Stüker, Andre Ricardo, Bresciani, Tiago, Stefani, Luciana Cadore, Cavazzola, Leandro Totti, Costa, Tainá, Dasqueve, Matheus, Marangon, Gustavo De Bacco, Martins, Otávio Ritter Silveira, Rodrigues, Josy, Cardoso, Guilherme Roloff, Neto, Brasil Silva, Soares, Tilaê, Zanella, Aline, Filippi, Lucas Torelly, Guerra, Enilde Eloena, Cruz, Ricardo Pedrini, Kalil, Antonio Nocchi, Laporte, Gustavo, Salem, Moacyr, Lima Brazan, Murilo, Campos Prado, Caio Antonio, Moises, Elaine Christine Dantas, Suto, Hilda Satie, Yasuda, Alice Gadotti, Zani, Ana Carolina Tagliatti, Santos, Roberto Cardoso Cardoso, Duarte, Geraldo, Joviliano, Edwaldo Edner, Santos, Carolina Lourenço Gomes, Quintana, Silvana Maria, Tamashiro, Edwin, Valera, Fabiana Cardoso Pereira, Zaccaro, Marília Veccechi Bijos, Andreotti, Isis, Lima, Leonardo, Salgado, Wilson, Cunha Viana Júnior, Alonço, Moutinho, Lana, Oliveira, Cora Pichler, Martins, Isabela Trindade, Toledo, Isabela Vieira, Guimaraes‐filho, Marco Antonio Correa, Arrivabeno, Rodrigo, Murta, Claudio Bovolenta, Said, Danniel Frade, Junior, Jose Pontes, Pugliesi, Felipe Guimarães, Gregorio, Paulo, Mariani, Alessandro, Minamoto, Fabio, Silva, Juliana Lourenço, Muller, Bruno, Zanon, Caio, Carvalho, Vladimir C., Lima, Ana Lucia Munhoz, Oliveira, Priscila R, Santos Silva, Jorge, Teixeira, Mariana Faccini, Kulcsar, Marco, Matos, Leandro, Nunes, Kamilla Schmitz, Junior, Joel Abdala, Abdallah, Emne, Carvalho, Genival Barbosa, Farias, Igor Correia, Silva, Cassia, Eloi Pinto, Fabio Fernando, Facure, Luciana, Godoy, André, Kupper, Bruna, Leite, Fernanda, Melo Lôbo, Matheus, Mantoan, Henrique, Marques, Narimã, Marques, Tomas, Medici, João Paulo, Torres, Silvio Melo, Garcia, Katheryne Merlos, Meduna, Rafael Ribeiro, Herbst, Ana Carolina Scintini, Santos, Silvana Soares Dos, Gonçalves, Bruna Tirapelli, Antonini, Marcelo, Brienze, Carolina, Farah, José Francisco, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Rodrigues, Danilo Nadal, Pansani, Adrieli, Rocha, Maria Luiza, Simonsen, Marcelo, Tsuchiya, Daniela, Vasques, Rafaela, Amorim, Jorge, Carvalho, Ana Alyra, Correia, Rebeca, Santos, Brena Costa, Neto, Henrique Jorge Guedes, Nakano, Luis, Pereda, Mariana, Vasconcelos, Vladimir, Awada, Jamile Barakat, Gava, Guilherme, Ijichi, Tiago Riuji, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Pereira, Thiago Henrique Sigoli, Volpe, Gustavo Jardim, Gatti, Arthur, Nardi, Caroline, Oliva, Ramon, Oliveira, Layze Braz, Carvalho, Herica Emilia Félix, Ribeiro, Ivonizete Pires, Rodrigues, Gabriel Renan Soares, Sousa, álvaro Francisco Lopes, Chebel, Michel, Sousa Fernandes, Paulo Henrique, Freitas, Marcelo Augusto Faria, Cunha, Juliano Rodrigues, Ather, Zeenia, Dimitrov, Dobromir, Filipov, Emil, Gyokova, Elitsa, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Neykov, Vasil, Atanasov, Boyko, Belev, Nikolay, Kamenova, Paolina, Tonev, Kaloyan, Yotsov, Tsanko, Hristova, Evguenia, Spassov, Kolyo, Tsankov, Tsanko, Dardanov, Dragomir, Gribnev, Petar, Sokolov, Manol, Brown, James, Tanyi, John, Hurdle, Heather, Maclean, Anthony, Sander, Michael, Al Riyami, Salim, Bali, Krittika, Bigam, David, Dajani, Khaled, Anvari, Mehran, Bolis, Rafik, Choi, David, Ellis, Susan, Gupta, Michael, Hanna, Wael, Hong, Dennis, Horner, Cynthia, Luketic, Lea, Moisiuk, Peter, Shargall, Yaron, Alfaro, Hilda, Alkhamesi, Nawar, Allen, Laura, Brackstone, Muriel, Chan, Eunice, Cheng, Davy, Chui, Jason, Gonzalez, Nelson, Lanting, Brent, Macneil, S. Danielle, Mayer, Robert, Mcgee, Jacob, Nagappa, Mahesh, Power, Nicholas, Prempeh, Agya, Qiabi, Mehdi, Razvi, Hassan, Schemitsch, Emil, Sehmbi, Herman, Shah, Ushma, Subramani, Yamini, Vasarhelyi, Edward, Vogt, Kelly, Yang, Homer, Abdehgah, Ali Ghorbani, Balvardi, Saba, Feldman, Liane, Fiore, Julio Flavio, Hanson, Melissa, Hopkins, Brent, Kaneva, Pepa, Lee, Lawrence, Leonard, Julia, Abou‐khalil, Jad, Martel, Andre, Stevenson, James, Lee, Susan, Merchant, Richard, Avoine, Samuel, Belanger, Laurence, Belanger, Mathieu, Belzile, Etienne, Blais, Anne‐sophie, Boucher‐kovalik, Sofia, Boulanger‐gobeil, Cindy, Cardinal, Etienne, Champagne, Pierre‐olivier, Cloutier, Jonathan, Corriveau‐durand, Simon, Cote, Mathieu, Cote, Maxime, Côté, Mathilde, Courval, Valérie, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Girard, Karine, Girard, Ève‐marie, Gosselin, Karo, Khuong, Helene, Labrecque, Nathalie, Langlais, Eve‐lyne, Larouche, Audrey, Lavallée, Andréane, Lemyre, Madeleine, Maheux‐lacroix, Sarah, Marien, Melissa, Marin, Patrick, Mauger, Julie, Milot, Genevieve, Nadeau, Sylvie, Nguyen, Sebastien, Paris, Mélinda, Pelet, Stéphane, Plante, Marie, Plante, Carole, Pouliot, Frederic, Renaud, Marie Claude, Sarlabous, Mathilde, Schmit, Isabelle, St‐germain, Raphaël, Johnston, Brian, Labine, Nicole, Persad, Amit, Pham, Hong, Wood, Melissa, Azam, Riordan, Atrey, Amit, Beckett, Andrew, Cohen, Daniel, Das, Sunit, Daza, Julian, Dunkerton, Cheryl, Ellenbogen, Yosef, Hanley, Ciara, Kellett, Sorcha, Khoshbin, Amir, Ladha, Karim, Mcfarlan, Amanda, Montgomery, Spencer, Pazmino‐canizares, Janneth, Suresh, Hrishikesh, Vasdev, Ravleen, Ahmed, Maira, Gentili, Fred, Kalyvas, Aristotelis, Millesi, Matthias, Sarica, Can, Shaikh, Taariq, Leslie, St, Jacques, Null, Tabasinejad, Raha, Zadeh, Gelareh, Hsiao, Marvin, Jedrzejko, Nicole, Black, Peter, Broe, Claire, Dandurand, Charlotte, Grey, Rebecca, Leung, Philemon, Lindberg, Andrew, Gutierrez, Juan Mata, Mayson, Kelly, Meneghetti, Adam, Phillips, Drew, Street, John, Calderón, Carolina Carvajal, Pizarro, Daniel Alejandro Donoso, Fernández, Esteban, Molero, Ángela, Mutarello, Nastassja, Lucic, Jorge Núñez, Gaete, Katherine Ochoa, Lopez, Catalina Ruiz, Sepúlveda, Rina, Ulloa, Camila, Barreda, Mauricio, Dallaserra, Matias, Wood, Matías Günther, Tobar, Mauricio Sandoval, Garcia‐huidobro, Francisco, Dona, Jimena, Diez, Carolina Soto, Igor, Daniel, Mena, Javier, Reyes, José Tomás, Soto, Catalina Arredondo, Campos, Jose, Gonzalez, Javier, Rivera, Barbara, Altamirano‐villarroel, Jaime, Cohn, David, Amesti, Luis Marin, Recabal, Pedro, Sandoval, Camilo, Fonseca, Bruno Catoia, Contador, Monica, Hodali, Andres, Pincheira, Camila, Mantilla, Andrea Ramos, Garrido, Claudio Salas, Torres, Janina, Valenzuela, Marco, Chen, Zehua, Jiankun, Hu, Tao, Jin, Yang, Kun, Zhang, Yuexin, Chen, Yuan, Cunchuan, Wang, Yang, Wah, Bai, Xueli, Liang, Tingbo, Tao, Ma, Ning, Pu, Yin, Hanlin, Caicedo, Camilo, Beltran, Diego Felipe Tellez, Escobar, Alejandro, Granados, Carolina Perez, Pinzon, Lisbeth Alexandra Urueña, Bonilla, Carlos, Santana, Diana, Serrano, Oscar, Garcia, Andrea, Luque, Fernando Giron, Patino‐jaramillo, Nasly G., Baquero, Laura Giselle Contreras, Botero, Nestor Augusto Muñoz, Castellanos, Jhoana Andrea Murillo, Calvera, Andrea Juliana Vega, Acosta Buitrago, Lina M., Bohórquez‐tarazona, Maria Paz, Rivera, Paulo Andrés Cabrera, Felipe Casas, J, Alfaro, Valeria Cormane, Corso, Julian, Guerra, Bayron, Guerrero‐becerra, Albert Franz, Abiyomaa, Akram Kadamani, Montes, Felix Ramon, Paz, Manuel Santiago Mosquera, Sandoval, Camilo Andrés Polanía, Quintana, Natalia, Ortega, Carlos Fernando Roman, Santacruz, Carlos, Téllez, Manuela, Sánchez, Camilo Alejandro Velandia, Arias‐amézquita, Fernando, Vargas, Luis Felipe Cabrera, Murgueitio, Natalia Cortes, Escorcia, Elkin, Ghotme, Kemel Ahmed Ghotme, Gomez‐mayorga, Jorge Luis, Vergel, Alvaro Felipe Guerrero, Herrera‐almario, Gabriel, Londono‐schimmer, Eduardo, Mejia, Juan A., Monsalve, Guillermo, Rodriguez, Camilo, Niño, Juan Nicolas Rodriguez, Ortegón, Luis Martín Rodríguez, Sanabria, Daniel, Alvarez, Andres, Andrade, Arnulfo, Ardila‐montealegre, Javier, Baquero, David, Vidales, Edgar Mauricio Barrios, Giraldo, María Alejandra Caicedo, Carvajal, María Camila, Castillo, Maria, Florez, Maria Carolina Castillo, Cendales, María Angelica, Monroy, Danny Conde, Cortes, Henry, Daniel, Mario, De la Peña, Jairo, Delgado‐nieto, Elena Leonor, Espitia, Hernando, Avendaño, Carlos Figueroa, Burgos, Edgar Oswaldo Hernandez, Isaza‐restrepo, Andres, Londono, German, Maldonado, Margarita Maria, Montenegro, Andrea, Navarro, Juan Carlos, Navarro‐alean, Jorge, Abaunza, Katherine Parra, Pulido, Eliana, Ramírez Amaya, Erika M., Chaves, Carlos Eduardo Rey, Rincón, Natalia Andrea Rivera, Castillo, William Mauricio Riveros, Sanchez, Lizeth Rodriguez, Rubiano, Wilson, Russi, Maria, Olarte, Juan Carlos Sabogal, Tovar, Javier Mauricio Salgado, Sanchez, Maria Juliana, Varela, David Mauricio Solano, Gomez, Paula Torres, Trillos, Marcial, Patiño, Ana María Vargas, Vargas‐barato, Felipe, Leon, Juan Pablo Villate, Useche, María Alejandra Wagner, Acosta, Jesus, Almeciga, Adriana, Mendez, Luis Becerra, Beltran, Rafael Jose, Bonilla, Ana, Buitrago, Miguel, Cabrera, Marino, Quiroz, Pedro Hernando Calderon, Camacho‐nieto, Diego, Fierro, Carlos Andrés Carvajal, Bonilla, Sergio Cervera, Diaz, Sandra, Facundo, Helena, Forero, Jorge, Mora, Mauricio Garcia, Tirado, Karena Victoria Garcia, Perez, German Fabian Godoy, Gonzalez, Felipe, Guevara, Oscar, Hernandez, Jairo Alonso, Mora, David Ricardo Herrera, Lalinde, Juan David, Lehmann, Carlos, Llanos, Eduardo Leon, Lopez, Byron Eduardo Lopez De Mesa, Mariño, Ivan, Medina, Monica, Morales, Raúl Eduardo Pinilla, Puerto, Angela, Null, Ma, Quintero‐ortíz, Andrea, Hernández, Juliana Rendón, Cortés, Elio Fabio Sánchez, Hernández, Alvaro Eduardo Sánchez, Suarez, Raul, Suescun, Oscar, Vanegas, Marco, Varela, Rodolfo, Bernal, Jorge Luis Velez, Viveros‐carreño, David, Gómez, Daniela Camargo, Fletcher, Angelica, Merchan, Abel, Luna, Euler Javier Burbano, Cujiño, Indira, Galvis, Mauricio Velasquez, Galliadi, Lina Maria Vergara, Gonzalez, Orlando Abonia Gonzalez Abonia, Saravia, Maria Fernanda Acuna, Arroyave, Roberto, Angulo, Jose Maria Barreto, Bonilla‐escobar, Francisco Javier, Cardona, Uriel, Giacometto, Ivan Castañeda, Castillo, José Luis, Castillo‐cobaleda, Diego Fernando, Garcia, Diego Jose Caycedo, Tello, Brenda Marcela Coll, Dueñas‐ramirez, Juan Carlos, Vidarte, Oscar Andres Escobar, Figueroa, Luis, Garcia‐perdomo, Herney, Gomez, Alden, Gomez, Laura, Gomez, Alejandro, Grande‐gil, Ana María, Guarin, David, Guzman, Natalia, Castañeda, Enrique Herrera, Hinaoui, Marisol, Escobar, Anuar Armando Idrobo, Kammerer, Christian Kammerer, Leon, Sergio, Lucero, Carlos Antonio Llanos, López, Angie, Martinez‐blanco, Alexander Maximiliano, Casella, Antonio José Montoya, Corredor, Ricardo Andres Niño, Ordoñez, Sebastian, Uribe, Diego Alfredo Palta, Serna, Andrea Carolina Perea, Ríos, July, Ríos‐samper, Gabriel, Garcia, Juan David Rivera, Moreno, Juan Camilo Salcedo, Sandoval, John, Ramirez, Guillermo Alberto Sarmiento, Romero, Paola Andrea Tabares, Urzola, Ricardo, Valdes‐duque, Iliana Maria, Velasquez, Miguel, Villegas, Lina Maria, Zapata‐copete, James, Lara, José Omar Zorrilla, Zuluaga, Mauricio Zuluaga, Moreno, Alejandra Echeverri, Figueroa, Juan Sebastian, Ortiz, Adolfo Enrique Gómez, Mosos, Maria Fernanda Gonzalez, González‐orozco, Alejandro, Roncancio, Juan Jose Jaramillo, Martínez, María Camila Leyva, Mosos, Monica, Ramirez, Juan Sebastian, Rodríguez, Henry Andrés, Henao, Juan David Saavedra, Varón, María Alejandra Torrado, Ramírez, Leidy Natalia Idarraga, Ocampo, Lorena, Marin, Monica Cardona, Gonzalez, Ana Maria Marin, Mejia, David Alejandro, Vanegas, Luis Emiro, Martinez, Yicel Alvarez, Vesga, Sandra Aruachan, Fuentes, Dayana Vanessa Baron, Salas, Alejandra Caballero, Estrada, Gustavo Antonio Martinez, Campo, Kelly Viloria, Alvarez, Juan Antonio Corralez, Regino, Cesar David Galindo, Velasquez, Angela Maria Giraldo, Moreno, Carlos Enrique Melo, Tejada, Jorman H., Tovar, Jesus Hernan, Tovar, German Alirio, Hernández, Edison Alexander Benavides, Orozco‐chamorro, Claudia Milena, Angel, Gustavo Adolfo, Buesaquillo, Christian Ali, Montaño, Victor David Olave, Sánchez‐gómez, Andrés, Ureche, Daniela Patricia Escalante, Garrido, Jairo Martinez, Genda, Eben‐ezer, Eboma, Fabrice, Bitunjac, Kristina, Grulović, Karlo, Vučković, Marijana, Šantak, Goran, Borovic, Emanuel, Versic, Ana Bosak, Hasandić, Damir, Grabar, Natasa Poldan, Medancic, Suzana Srsen, Brkic, Lucija, Cokarić, Sara, Palac, Petra Pavic, Samac, Zeljka, Tomić, Josipa, Vrdoljak, Marija, Bacic, Ivan, Bakmaz, Bernarda, Vučičić, Nikolina Bratošević, Brzic, Domagoj, Canovic, Samir, Dijan, Emilio, Dragicevic, Maja Grgec, Karlo, Robert, Konjevoda, Suzana, Kovačević, Petra, Kovačić, Ivan, Markulić, Frane, Matak, Luka, Morović, Domagoj, Perišić, Gordan, Simic, Andrea, Skitarelić, Neven, Veršić, Matea, Žufić, Vanja, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Litvic, Dubravka Heli, Markov‐glavas, Duska, Jovanovic, Tatjana Savic, Augustin, Goran, Biloš, Jerko, Biočina, Bojan, Biosic, Vedrana, Bobovec, Dino, Botica, Iva, Bumber, Boris, Čerina, Petra, Vukovic, Katarina Duric, Gasparovic, Hrvoje, Gatin, Lucija, Grsic, Kresimir, Radojković, Ika Gugić, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Kulis, Tomislav, Kunjko, Kristian, Maric, Marjan, Kavanagh, Marcel Marjanović, Milicic, Borna, Morić, Trpimir, Pasini, Miram, Penezić, Luka, Prgomet, Drago, Prstacic, Ratko, Prtorić, Andreja, Radojković, Rudolf, Romić, Ivan, Sečan, Tomislav, Šoša, Dora škrljak, Slipac, Juraj, Tomic, Mislav, Zedelj, Jurica, Zekulić, Toni, Zimak, Zoran, Lorencin, Mia, Luksic, Ivica, Mamic, Matija, Espinsa, Norberto Miranda, Cruz, Ailén Sánchez, Antoniou, Stavros A., Kakas, Michael, Panayiotou, Yiannis, Almezghwi, Heyam, Arslan, Kalbim, Besim, Hasan, Özant, Ali, Özçay, Necdet, Kokkinos, Georgios, Papatheodorou, Panayiotis, Pozotou, Ioanna, Stavrinidou, Olga, Yiallourou, Anneza, Burda, Lukáš, Dosoudil, Michal, Martinek, Lubomir, Gawel, Wladyslaw B., Lerch, Milan, Peteja, Matúš, Žatecký, Jan, Daniel, Toman, Formánek, Martin, Javurkova, Veronika, Kepičová, Markéta, Macečková, Nicole, Matousek, Petr, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Černý, Jan, Khan, Sami, Lischke, Robert, Přibyl, Martin, Younus, Temoore, Amarasena, Yenuksha, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Harbjerg, Julie Lykke, Hviid, Louise, Kristensen, Helle ø, Mekhael, Mira, Nielsen, Mette Fugleberg, Paulsen, Laerke, Sinimäki, Saija, Mogensen, Louise Zinck, Bonde, Peter, Ebbehøj, Anders Lyng, Fenger, Anne‐sophie, Haugstvedt, Aleksander Fjeld, Hansen, Christine Hangaard, Jönsson, Maria Lovisa, Jorgensen, Lars N, Krarup, Peter‐martin, Lihn, Anne‐louise, Meyhoff, Christian, Otte, Helena, Amar, Anas Ould Si, Palm, Henrik, Schlesinger, Nis, Smith, Henry, Tryggedsson, Ida, Axelsen, Anne Reiss, Bælum, Jens Kristian, Ellebaek, Mark Bremholm, Ellebæk, Signe Bremholm, Hogh, Anders, Acosta, Maria, Acosta, Yancy, Baez, Pedro, Betances, Luis Alfredo, Bonilla, Luis Rodolfo, Cabreja, Daniel, Cruz, Wilton Cabrera, Expósito, María Mabel Collado, Crespo, Aldo, Cruz‐pineda, Octavio, D’óleo García, Claudio Samuel, Díaz, Pedro, Escoto, Remberto, Figueroa, Jatnna, Garcia, Luis, Rodriguez, U Garcia‐Dubus, Gomez, Humberto, Grullon, Adrian, Guerrero, Fatherin, Guzman, Lillian, Mosquea, Thelma Rocío Jiménez, Lazala, Engels, Lopez, Ariela, Francisco, Leeany Maletta, Mercado, Jhomayri, Munoz, Herisardy, Paulino, Jeffrey, Fernandez, Maricely Ambar Perez, Reyes, Rudeily, Guilamo, Lilia Rosa Reyes, Rivas, Ruben, Torres, Claudia Alejandra Rivas, Rodríguez, Ada, Villa, Madelin Tamar Rosario, Santana, Eleazar, Soto, Joel, Tactuk, Nassin, Sardiñas, Cristina Kristel Tonos, Ubinas, Raul, Victoria, Jose, Villegas, Aaron, Acra‐tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Blaubach, Alejandro, Mejía, Denisse Idalia Campos, Capellan, Nathalia, Bruzual, María Fernanda Cedeño, Spencer, Saray Cordero, Lantigua, Gabriella Cuevas, De Jesus, Luis, Díaz, Gabriela, Vásquez, Pedro Pablo Díaz, Disla, Karla, Uceta, Jesús Antonio Echavarría, Jimenez, Paola Irina Eusebio, Fernandez, Damaris, Camilo, Marlin Fernandez, Germosen, Jiomar Manuel Figueroa, Fortunato, Maruel, Fernández, Leyla Gabriel, Dihmes, Alicia German, Herrera, Héctor, Cuevas, Elizabeth Leon, Mata, Jose Alejandro, De La Cruz, Mirian Mateo, De la Cruz, Dolores Mejia, Mirambeaux, Marcos, De La Cruz, Fabio Ortiz, Paulino, Henry, Pelletier, Gabriela, Pichardo, Merycarla, Enrique, Rodriguez Pumarol Próspero, Rivas, Julio, Marmolejos, Ann Stephany Sanchez, Santana, Roman Santana, Almanzar, Irina Suero, Sánchez, María Magdalena Vásquez, Campuzano, Nicolás, Ocampo, José Ricardo Negrete, Armas, Maria, Guerra, Alvaro Santiago LeMarie, Vizcaya, Gustavo León, Abdelwahab, Omar Ahmed, Elmehrath, Ahmed O., Mostafa, Mohammed Ezzat, Amira, Gamal, Sallam, Ibrahim, Sherief, Mohamed, Abdelmajeed, Ahmed, Abdou, Mostafa, Shanab, Ahmed Abo, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Bakr, Amna Abou, Aboubakr, Samar, Abouelnagah, Yossof, Aboumadawy, Omar, Adel, Dina, Afifi, Nermeen, Ahmed, Sara, Ahmed, Abedelrahman, Sayed, Mohamed AL, Alberkamy, Abdelrahman, Aldahma, Mohamed, Ali, Ahmed, Ali, Mostafa, Bakr, Mohamed Amin, Anter, Alaa, Asal, Doaa, Ashoush, Fouad, Ashraf, Olfat, Ashraf, Abdel Rahman, Atta, Rewan, Badr, Salma, Bahaaeldin, Mohamed, Bastawesy, Mostafa, Darwish, Sara, El Kharashy, Rasha, Elassar, Ziad, Elbadawy, Seifeldin, Elkhity, Dina, Elsaka, Alromisaa, Elsayed, Manal, Hewalla, Mostafa Elsayed Elsayed, Elshafey, Mohamed, Eshac, Youssof, Eshac, Fares, Essameldin, Amr, Ewedah, Moataz, Ezz, Yara, Farag, Mohamed, Gadelkarim, Inas, Gadelrab, Ziyad, Gamal, Dina, Ghaly, Mira, Girgis, Nathalie, Gouda, Omar, El Goweini, Nancy H., Hafez, Nour, Hafez, Youssef, Abdin, Abdelkader Hamed, Hanno, Rodina, Hassanin, Aliaa, Hassanin, Mohamed, Hemead, Hanan M., Hemida, Abdelrahman, Hosain, Maher, Hossam, Ahmed, Aly, Hamza Hussein Aly Salama, Ibrahim, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Hamouda, Noha Mohamed Salah Ibrahim Moussa, Iskander, Monica, Khalifa, Islam, Kotb, Mostafa, Mahmoud, Nada, Shabana, Alaa Mahmoud Abo, Mamdouh, Nora, Metwalli, Maram, Metwally, Khaled, Moghazy, Mahmoud, Mohamed, Moustafa, Mourad, Mohamed, Moustafa, Esraa, Mubarek, Kamilia, Nader, Nour Eldin, Nasser, Ahmed, Omar, Samaa, Qatora, Mostafa Shehata, Ragab, Mohamed, Ragal, Marawan, Ramadan, Dina, Ramadan, Rana, Ramadan, Sara, Romany, John, Sabry, Ahmed, Said, Yasmeen, Salamah, Sara, Saleh, Ahmed Mostafa, Elkaffas, Mona Saleh Mesbah Mohamed, Salem, Alaa, Salim, Hashem, Samih, Ahmed, Abdelaal, Ahmed Samir, Shaheen, Ahmed, Mohammed, Yassmeen Sharafeldin, Shehata, Abdelrahman, Shemeis, Mohamed, Shenit, Karim, Sheta, Mennatallah, Soffar, Asmaa, Tanas, Yousef, Tarek, Ahmed, Yehia, Nermin, Eid, Omar Khaled Mohamed, Abdulfattah, Ammar Yasser, Elsaghir, Ahmed, Elganainy, Mohamed Fouad, Elsayed, Omar Ibrahim, Elmandouh, Omar, Hamam, Omar, Shehata, Mostafa Ahmed, Abdelaziz, Areej A., Abbas, Ahmed M., El‐ghani, Wael Abd, Abd Elazeem, Hossam Aldein S., Elsayed, Mustafa Abd, Abd‐elkariem, Ahmed Yassien, Abdalla, Shimaa, Abdel‐aleem, Mahmoud, Abdelazeem, Khaled, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abdelraouf, Ali, Abdullaha, Lamess, Abubeih, Hossam, Ahmed, Moaiad Eldin, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Saad, Sarah Ahmed, Alaa, Sherif, Alhussaini, Ali, Ali, Abdelrahman Ahmed Abdelrahman, Ali, Ibrahim, Ali, Wagdi, Mohamed, Mohamed Ali, Ashraf, Mohamed, Bassiouni, Muhammad, El‐adawy, Mohamed G., El‐sharkawi, Mohammad, Elkhayat, Hussein, Elmaghraby, Khaled, Elsdfy, Shady, Elsharkawy, Mohamed, Eltayeb, Almoutaz, Mohamed, Mohamed Esmat, Essam, Esraa, Fahd, Mahmoud, Farouk, Osama, Gadelkareem, Rabea, Ghoneim, Ahmed, Takrouney, Mohammed Hamada, Hamdan, Ahmed, Hamed, Abd El‐Rahman, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Hawal, Islam, Henes, Kerollos, Herdan, Mohamed Omar, Hetta, Helal F., Ibrahem, Omar, Ibrahim, Mostafa, Ibrahim, Islam H., Kamel, Mahmoud, Khallaf, Mohamed, Elghazaly, Shrouk M., Mahfouz, Abobakr, Mahmoud, Osman, Mahran, Wesam, Mahrous, Doha, Marsis, Abadeer, Mohamed, Ayman, Hussein, Aliae Mohamed, Sayed, Amr Mohamed, Mohammed, Mahmoud M, Mokhtar, Ahmed, Monib, Fatma A., Nageeb, Ahmed, Nageh, Mariam Albatoul, Nageh, Mohammed, Omar, Nehal Gamal, Ragab, Abdelrahman, Ramadan, Abdelrahman, Temerik, Abdallah Rashad, Sabry, Aya, Safwat, Hadeer, Salah, Omar, Mahmoud, Ahmed Elhussiny Salah, Saleh, Ahmed, Sallam, Mahmoud, Samir, Ahmed, Sayad, Reem, Sayed, Esraa, Sedik, Ahmed S., Shahine, Mohammed, Soliman, Antonios, Soliman, Wael, Taher, Mohamed Gamal, Wanees, Randa, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Elabedeen, Omar Zein, Hassan, Ahmed Emad Sayed, Fattah, Shrouk Abdel, Abostate, Ahmed, Ali, Samar, Salama, Saad Ali Saad, Allam, Mohamed, Alsadek, Ahmed, Arafa, Ebrahim, Barakat, Ahmed, El Sherpiny, Mohammed, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Eltregy, Sherif, Hamdy, Mahmoud, Hassan, Gehad, Khalifa, Aya, Mahmoud, Ahmed, Altukhy, Ahmed Mohamed, Noah, Kareem, Noureldin, Yasser, Nowar, Mostafa, Saad, Moustafa, Elsaeidy, Ahmed Saad, Elsaeidy, Khaled Saad, Sabry, Hesham, Sameh, Mostafa, Said‐elnaby, Ahmed Tarek, Zahed, Mohamed, Zahran, Mohamed, Zaid, Abdelrahman, Zoghary, Ahmed Zaki, Atef, Mohamed, Mohamed, Ahmed, Youssef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, Alazab, Emad, Awad, Ahmed K., Darwesh, Amr, El Fiky, Lobna, Elgarhy, Ibrahim, Nassef, Mohamed Adel, Shaban, Mahmoud, Shalaby, Mahmoud Mohamed Mohamed, Wahba, Abdelrahman, Fouad, Omar Youssif Omar, Elsadek, Menan, Gad, Dalia, Abdelsamed, Ahmed, Bayomy, Abdulhakeem, Elsalhy, Mohamed, Fahim, Ahmed, Seleim, Ahmed, Afifi, Eman, Gamal, Fatma Alzahraa, Gamal, Mennatullah, Eldesouky, Omnia, Eldwini, Mohamed Hatem Elmetwalli Eldwini, Fahmy, Mostafa Medhat Fahmy, Hussein, Ahmed, Ouf, Abdallah, Sami, Omar, Shaat, Salem, Bahi, Abdullah Wael Mostafa Khalil, Atea, Abdurhman, Gamal, Ibrahim, El Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Al‐oribi, Saeid, Aly, Nuran Khaled, Elfiky, Mahmoud, Elmaghraby, Alaa Eldine, Elrahmany, Abdulrahman, Elsherbeeny, Motaz, Helmy, Youssef, Nabil, Ahmed, Farahat, Ahmed Samir, Soliman, Mostafa, Wassef, Amr, Abdelrahman, Abdelrahman, Elsaban, Seif, Ghaly, Galal, Hamdy, Rana, Mondy, Hamada, Abdallah, Lubna, Darwish, Abdelrhman KZ, Rabea, Mohamed, Azab, Mohammed A, Abbas, Alzhraa Salah, El‐deeb, Marwa, Fawzy, Mohamed, Ibraheem, Maher, Bakry, Abdelrahman, Elnems, Sarah, Elsheikh, Randa, Gbreel, Mohamed Ibrahim, Hafez, Mahmoud, Jammal, Mohamed, Hamam, Khaled M, Makram, Abdelrahman M, Makram, Omar Mohamed, Rabie, Salma, Askalany, Sherine Yousery, Abushanab, Mokhtar Mohamed Ibrahim, Eid, Abdulrahman, El Ghalid, Mohammed Refaat Ibrahiem Amin, Abdelaty, Ahmed Adel, Fayad, Elsayed A., Radwan, Asmaa, Sallam, Moataz, Shokry, Ahmad, Farouk, Ahmed Mohamed, Elfallal, Ahmed, Elfeki, Hossam, Elsaeed, Mohamed, Elsaid, Mahmoud, Makroum, Amany, Elsaid, Dina Mohamed, Mostafa, Mohamed, Omar, Mohamed W, Rezk, Mohamed, Sakr, Ahmed, Sanad, Aly, Shalaby, Mostafa, Shawqy, Mohammed, Shetiwy, Mohamed, Shoma, Ashraf, Tawakl, Noura, Yunes, Asmaa, Abouzid, Amr, Atallah, Khalid, Elmorsi, Rami, Elsherbini, Ahmed, Gaballa, Khaled, Hamdy, Omar, Hamdy, Mohamed, Metwally, Islam Hany, Refky, Basel, Shetiwy, Mosab, Zuhdy, Mohammed, Zahran, Mohammed A, Abdellah, Fatima, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Al‐shazly, Mohammed Hamdy, Ali, Mohamed, Allam, Abdallah R, Aposaeeda, Aya, Asfour, Mohammed, Ayman, Ammar, Omran, Abdelrahman Azzam, Daghash, Ibrahim Tawfiq, Ebada, Mahmoud Ahmed, Eid, Taher, El Kelany, Ahmed, El Shemy, Esraa, El‐hag‐aly, Mohammed, Elgamal, Omar, Elghoury, Mahmoud, Elkased, Ahmed Farag, Ellakwa, Takwa Hamed, Ellakwa, Hamed, Elmeanawy, Amr, Elnoamany, Salma, Elsabagh, Alaa, Elsawey, Abdelrahman, Elshabrawy, Enas, Elshakhs, Seliman, Elsoudy, Naira, Ezzat, Esraa, Fawzy, Ahmed, Gamal, Abrar, Gameel, Ahmed, Gharbia, Khaled, Ghonaim, Mohamed, Ghonaim, Alaa, Hafez, Ahmed, Hafez, Abdelrahman, Ismail, Zainab, Khaled, Mohamed, Meselhy, Mohammed, Mikhail, Pola, Mohamed, Mervat, Mougahed, Mohamed, Mustafa, Abdulla, Nada, Ahmed, Omran, Janna, Ebiad, Mohamed S., Saleh, Ibrahiem, Salem, Nourhan, Salem, Osama, Selim, Salma, Shalaby, Ghada, Sherif, Hoda, Soltan, Hatem, Wahbah, Mahmoud, Abdelbary, Eman Zakaria, Zayan, Ahmad Helmy, Afify, Abdelrahman, Hadiya, Hossam Ali, Elshref, Mohamed Jamal, Ahmed, Mostafa Mohamed, Nasser, Nourhan, Abdeldayem, Hesham, Salama, Ibrahim Abdelkader, Ammar, Khaled, Ayoub, Islam, Aziz, Amr, Badawy, Mohammad Taha, Balabel, Mohamed, Fayed, Yahya, Gad, Emad Hamdy, Gomaha, Maher, Hammad, Essam, Hegazy, Osama, Hegazy, Elsayed, Ibrahim, Tarek, Kallaf, Mostafa, Macshut, Mahmoud, Magdy, Ammar, Oteem, Ahmed, Sallam, Ahmed, Samaan, Samy, Sharshar, Mohamed, Shoreem, Hany, Soliman, Elsayed, Soliman, Hossam Eldeen, Yassein, Taha, Zakaria, Hazem, Eldaly, Abdullah, Mashaly, Sarah, Abd‐elsalam, Sherief, Abdel‐elsalam, Wafaa, Shaalah, Ahmed Abdullah, Elbahnasawy, Mohamed, Elhalaby, Ismael, Hamada, Mohamed, Soliman, Sarah Hamdy, Hawila, Ahmed, Morsy, Mohamed Sherif, Naieem, Mohmed, Nasreddin, Mohammed, Salman, Samar, Sarsik, Sameh, Shabana, Ahmed, Tolba, Engy, Zagho, Mohamed, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abdurehman, Oumer, Admasu, Azarias, Berhea, Ataklitie, Eado, Yegeremu, Hailu, Nebiyou, Kidane, Meklit, Mohammed, Abdurezak, Mohammed, Khalid, Tibelt, Admasu, Woldemariam, Mersha Abebe, Yonael, Lydya, Alemu, Megersa, Aklilu, Abenezer Tirsit, Asele, Frehun, Assefa, Solomon, Azmach, Dawit, Bekele, Philimon, Mamo, Mickyas, Maru, Nahom, Mekuria, Haile, Menkir, Abel, Mikru, Filagot, Siraw, Eyerusalem, Suga, Hilkiah, Sumoro, Natnael, Teka, Aklilu, Thomas, Efeson, Woldemariam, Dereje, Wubishet, Estifanos, Abebe, Engida, Abebe, Kirubel, Asfaw, Fitsum, Bergene, Eyerusalem, Eshete, Mahder, Gebrehiwot, Fitsum Gebreegziabher, Gedefaw, Yetsedaw, Mengesha, Mulualem Wondafrash, Mengiste, Netsanet, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Tedla, Yonatan, Teklu, Daniel, Teshome, Henok, Tirfe, Leake, Tsegabrhan, Sahle, Tsehaye, Milkias, Worku, Bereket, Molla, Million, Supha, Melka, Taye, Tewodros, Abebe, Nebyou, Alemu, Berhanu, Chanie, Abera, Degefu, Hailegebriel, Desalegn, Dawit, Gebre, Hiwot, Hussen, Husnia, Kassa, Dawit, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Negash, Samuel, Sahlu, Abat, Tiruneh, Abraham Genetu, Wolde, Amanuel, Woldeselassie, Hanna Getachew, Ahmed, Mnewer Y., Zewdneh, Betelhem, Fentaw, Jibril, Salia, Shemsedin, Tabore, Ketema, Gurara, Addisalem, Abreha, Tassew, Abrha, Teklebirhan, Beyene, Gaym, Hailu, Niguse, Weldu, Mulu Atsbaha, Abdissa, Desalegn, Tesfaw, Mequannet, Wolle, Melatework, Asmamaw, Dawit, Assefa, Biniam Zemedu, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Melkamu, Solomon, Mengesha, Workineh, Shumye, Getachew, Tagele, Gashaye, Tesfa, Abrham Amare, Workneh, Wubshet, Genetu, Sileshi, Mebratu, Eneyew, Chanyalew, Lidya, Deresse, Tilahun, Girma, Adissu, Seid, Marta, Shimelash, Dagim, Shitaw, Abrham, Ayalew, Tewabe, Diress, Tesfaye, Kassahun, Berhanu, Kassaye, Bersabeh, Mulugeta, Esubalew, Tesfaw, Getasew, Yimenu, Beminet, Benecha, Semir, Aman, Mudesir, Ibrahim, Adem, Mekete, Alem, Tesemma, Abdi, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Ahmedin, Mahlet, Assefa, Yared, Ayde, Fitsum, Berhe, Alazar, Gebremeskel, Zersenay, Siyoum, Eneyew Getachew, Teresa, Sintayehu, Wude, Zinaye, Yemer, Fasika, Yohannes, Dagnachew, Zeleke, Ewunetu, Zerihun, Gulilat, Degefe, Derje Worku, Derilo, Hankore Tamirat, Eliyas, Nebiyu, Bayissa, Firew, Deressa, Yadani, Gemechu, Lidya, Gurmu, Tegenu, Kasaye, Ashenafi, Melese, Lemi, Muleta, Lemesa, Mulugeta, Gersam, Taye, Seifu, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Gebreagziabher, Haile, Mhreteab, Kassa, Haftamu, Saddik, Mohammed, Mengist, Alemneh, Heikkinen, Juuso, Helminen, Olli, Huhta, Heikki, Kotkavaara, Tommi, Mosorin, Matti‐aleksi, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Sova, Henri, Tastula, Mikko, Virta, Ville P, Bettoni, Jérémie, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Breheret, Renaud, Fouquet, Olivier, Gueutier, Alexandre, Henric, Nicolas, Kahn, Alexis, Kün‐darbois, Jean‐daniel, Moukoko, Didier, Pineau, Anna, Podevin, Guillaume, Schmitt, Françoise, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Marie‐macron, Lysa, Doussot, Alexandre, Ahmed, Omar, Alnajjar, Louy, Mis, Tommaso Cipolat, Fliss, Souha, Giocanti‐auregan, Audrey, Gregory, Thomas, Guiraudet, Patrice, Le Fouler, Adrien, Martinod, Emmanuel, Onorati, Ilaria, Peretti, Marine, Quilichini, Julien, Radu, Dana, Trésallet, Tresallet, Andro, Christophe, Maffert, Alexis, Chapman, Tracy, Halden, Maxime, Fayon, Julie, Mattevi, Catherine, Marion, Herjean, Bendjemar, Lynda, Lionel, Charre, Mikhael, Elie, Macías, Rosa Montero, Villefranque, Vincent, Volpin, Enrico, Trilling, Bertrand, Boleslawski, Emmanuel, Constance, Houlzé‐laroye, Drubay, Vincent, El Amrani, Mehdi, Eveno, Clarisse, Lecolle, Katia, Martin, Louis, Noiret, Barbara, Piessen, Guillaume, Truant, Stephanie, Zerbib, Philippe, Aubry, Estelle, Denimal, Franck, Lamblin, Antoine, Barrat, Benjamin, Caire, François, Christou, Niki, Fourcade, Laurent, Laloze, Jerome, Bouv‐hez, Margaux Mekann, Salle, Henri, Taibi, Abdelkader, Tricard, Jeremy, Usseglio, Julie, Chopinet, Sophie, Gregoire, Emilie, Delpont, Marion, Blanchard, Claire, Crenn, Vincent, Vergie, Stéphane, Denis, Waast, Fragnaud, Henri, Regenet, Nicolas, Rigaud, Jerome, Varenne, Yoann, Anract, Philippe, Barat, Maxime, Biau, David, Dautry, Raphaël, Dohan, Anthony, Idier, Louis, Lang, Elena, Thouny, Camille, Tzedakis, Stylianos, Audenet, François, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Clermidi, Pauline, Langlais, Tristan, Leonelli, Lorenzo, Maisonneuve, Emeline, Nicolas, Beaud, Perrot, Ophelie, Prost, Doriane, Thomin, Anne, Thouement, Thouement, Athiel, Yoann, Berry, Richard, Boddaert, Guillaume, Bonnet, Stéphane, Cathala, Nathalie, Conso, Christel, Denet, Christine, Laforest, Anaïs, Levy‐zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Scamporlino, Adriana, Zadegan, Frederic, Amine, Chamakhi Ahmed, Baratte, Baratte, Chartier‐kastler, Emmanuel, Chereau, Nathalie, Colas, Pierre‐antoine, Duquesne, Igor, Genser, Laurent, Petit, Gaëlle Godiris, Goumard, Claire, Hasani, Ariola, Lim, Chetana, Martellotto, Sophie, Melot, Charlotte, Menegaux, Fabrice, Pinar, Ugo, Pocard, Marc, Roupret, Morgan, Scatton, Olivier, Seisen, Thomas, Séverine, Noullet, Turco, Célia, Chouillard, Elie, Beganton, Paul, Frasca, Denis, Kerforne, Thomas, Corbiere, Lisa, Gasmi, Anis, Ghemame, Marwane, Guérin, Sonia, Khene, Zine‐eddine, Livin, Marie, Mahmoud, Fedy, Maillot, Betty, Merdrignac, Aude, Mouriaux, Frederic, Robin, Fabien, Sulpice, Laurent, Vazeux, Charles, Bertheuil, Nicolas, Bonneau, Soline, Cazemajou, Clément Thierry, Cousin, Ianis, Defert, Coralie, Fustec, Elisa, Juricic, Melodie, Lavoue, Vincent, Mevel, Gwenaël, Timoh, Krystel Nyangoh, Renault, Annaëlle, Violas, Philippe, Schwarz, Lilian, Tuech, Jean Jacques, Morichau‐beauchant, Tristan, Sauvat, Frederique, Haddad, Elie, Vermersch, Sophie, Patrizi, Andrea, Roux, Alexia, Aimé, Adeline, Malgras, Brice, Cherkaoui, Zineb, D’Urso, Antonio, Felli, Emanuele, Gonzalez, Cristians Alejandro, Ignat, Mihaela, Mutter, Didier, Pessaux, Patrick, Vix, Michel, Gornes, Hugo, Vergriete, Kélig, Berthoumieu, Pierre, Genre, Ludivine, Le Gall, Hélène, Pierre, Trocard, Chalhoub, Marc, Del, Mathilde, Martinez, Alejandra, Fuchs‐buder, Thomas, Vancon, Antoine, Faya, Camara Abraham, Asaph, Elvam, Baruwa, Elisee, Hofman, Gwen, Machemedze, Solomon, Idiata, Michael Mayombo, Muhemi, Roger, Ndizeye, Olivier, Nkunzimana, Elysé, O’Connor, Jennifer, O’Connor, Zachary, Tchoba, Simplice, Boumas, Natacha, Devidze, Grigol, Pisarevi, Givi, Baumgarten, Sabine, Grüßer, Linda, Hölzle, Frank, Kowark, Pascal, Kowark, Ana, Rossaint, Rolf, Schäfer, Benedikt, Wallqvist, Julia, Winnand, Philipp, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Edlinger, Florian, Goßlau, Yvonne, Hyhlik‐duerr, Alexander, Maksymiw, Florian, Shiban, Ehab, Sommer, Florian, Sommer, Björn, Zerwes, Sebastian, Beyer, Katharina, Lauscher, Johannes Christian, Lee, Lucas D., Loch, Florian N, Schineis, Christian, Aghalarov, Ilgar, Belyaev, Orlin, Braumann, Chris, Enste, Annika, Fahlbusch, Tim, Herzog, Torsten, Horn, Julian, Jedanowski, Julia, Knipschild, Julia, Luu, Andreas Minh, Mohan, Prem Vignesh, Siemen, Leonie, Slobodkin, Illya, Strotmann, Johanna Josefine, Uhl, Waldemar, Wolf, Katerina, Coburn, Mark, Egger, Eva, Eichhorn, Klaus, Enderes, Jana, Far, Frederick, Franzen, Alina, Güresir, Erdem, Hadjiathanasiou, Alexis, Kalff, Jörg C., Kohistani, Zaki, Manekeller, Steffen, Mustea, Alexander, Probst, Chris, Randau, Thomas, Recker, Florian, Schuss, Patrick, Straßberger‐nerschbach, Nadine, Strieth, Sebastian, Treede, Hendrik, Beekum, Cornelius J., Vatter, Hartmut, Velten, Markus, Vilz, Tim O., Wirtz, Dieter, Wittmann, Maria, Behr, Michael, Bulian, Dirk Rolf, Marche, Benedikt, Moczko, Tobias, Otchwemah, Robin, Schulz, Sissy‐amelie, Thomaidis, Panagiotis, Bruns, Christiane, Cursiefen, Claus, Domröse, Christian, Fuchs, Hans, Heindl, Ludwig Maximilian, Mallmann, Michael R., Mallmann, Christoph, Ratiu, Dominik Alexander, Canzler, Ulrich, Distler, Marius, Korn, Sandra, Meisel, Cornelia, Meusel, Marcus, Petzold, Andrea, Praetorius, Christian, Renesse, Janusz, Weitz, Juergen, Wimberger, Pauline, Alkhanji, Nour, Fung, Stephen, Jaber, Kefah, Knoefel, Wolfram Trudo, Vay, Christian, Clonda, Octavian, Cottin, Tatiana, Juodiene, Evelina, Juodis, Domantas, Petrovic, Biljana, Solodarenko, Oleksandra, Binder, Johannes, Grützmann, Robert, Hackner, Danilo, Junker, Stefanie, Arsalan, Mani, Banek, Severine, Chun, Felix, Faqar‐uz‐zaman, Sara Fatima, Keese, Daniel, Kluth, Luis, Rolle, Udo, Van Linden, Arnaud, Walther, Thomas, Bayer, Jörg, Beck, Jürgen, Fung, Christian, Kraus, Luisa Mona, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schnell, Oliver, Schulte, Antonia, Strähle, Jakob, Jarmusch, Stefanie, Novotny, Helmut Franz Georg, Becker, Johannes, Fulghum, Christian, Gonschor, Bernhard, Herbolzheimer, Marit, Nicolaiciuc, Sina, Trulson, Alexander, Vogelsang, Holger, Zimmermann, Benno, Akbari, Amir Ali, Boening, Andreas, Edinger, Fabian, Hecker, Matthias, Knitschke, Michael, Koch, Christian, Reichert, Martin, Schmidt, Götz, Schneck, Emmanuel, Uhl, Eberhard, Nóbrega, Silvia Flachs, Kauffmann, Philipp, Miller, Clemens, Nemeth, Marcus, Sievers, Denise, Kisser, Ulrich, Kleeff, Jorg, Klose, Johannes, Lorenz, Kerstin, Papendick, Nancy, Plontke, Stefan, Seiwerth, Ingmar, Steer, Susanne, Thomssen, Christoph, Ukkat, Jörg, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Hanke, John, Klauke, Friederike, Leuschner, Sebastian, Mendel, Thomas, Müller, Katharina, Schmidt, Birte, Schreiter, Valentin, Stosberg, Peter, Vinz, Franziska, Herbig, Beate, Sander, Johannes, Schulte, Thilo Maria, Betz, Christian Stephan, Bewarder, Julian, Bier, Johannes, Böttcher, Arne, Burg, Simon, Busch, Chia‐jung, Bußmann, Lara, Gosau, Martin, Heuer, Annika, Izbicki, Jakob, Klatte, Till Orla, König, Daniela, Köpke, Leon‐gordian, Moeckelmann, Nikolaus, Praetorius, Mark, Priemel, Matthias, Stadlhofer, Rupert, Stangenberg, Martin, Uzunoglu, Faik G., Wittig, Lukas, Zech, Henrike, Zeller, Nina, Roux, Frederic, Spaeth, Tsiona, Fricker, Roland, Müller, Thomas, Schröder, Lars, Alasmari, Mohammed, Boeker, Clara, Hakami, Ibrahim Abdullah, Mall, Julian W, Kyritsis, Ioannis, Graeb, Christian, Huber‐strößner, Kristin, Branzan, Daniela, Doss, Markus, Gockel, Ines, Jödicke, Carolin, Osterhoff, Georg, Pempe, Christina, Sucher, Robert, Adler, Tina, Kelly, Kathrin, Merkle, Janica, Siebert, Julia, Hirche, Christoph, Kneser, Ulrich, Tapking, Christian, Agrawal, Rachit, Qureischie, Homeira, Croner, Roland, Koslowski, Lisa, Krause, Hardy, Meyer, Frank, Turial, Salmai, Al‐nawas, Bilal, Battista, Marco Johannes, Goedeke, Jan, Hasenburg, Annette, Heider, Julia, Mueller, Lena Katharina, Zeller, Simon, Jentschura, Sina Louisa Patrizia, Kowalewski, Karl‐friedrich, Kriegmair, Maximilian, Männle, David, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Kirschniak, Andreas, Rolinger, Jens, Wilhelm, Peter, Bader, Franz G., Ottl, Stephanie, Behr, Alexandra Viktoria, Diamantis, Alexandros, Fichter, Andreas, Grill, Florian, Heck, Matthias, Jira, Daniel, Kallmayer, Michael, Koll, Florestan, Luhne, Stefan, Meyer, Bernhard, Patachia, Robert, Pergolini, Ilaria, Safi, Seyer, Schäffer, Christoph, Schirren, Moritz, Wegmann, Helmut, Wirth, Markus, Zhu, Zhaojun, Aghamaliyev, Ughur, Almaghrabi, Mahmoud, Böcker, Wolfgang, Bruder, Jan, Frank, Konstantin, Herterich, Viktoria, Huber, Verena, Ilmer, Matthias, Kammerlander, Christian, Neuerburg, Carl, Ehrlich‐treuenstätt, Viktor H., Werner, Jens, Börner, Nikolaus, Fegg, Florian, Hartmann, Daniela, Ladurner, Roland, Liokatis, Paris, Patzer, Kathrin, Schlager, Justin Gabriel, Smolka, Wenko, Zimmermann, Petra, Hatz, Rudolf, Steinhart, Diana, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Steiner, Martin, Hölz, Katharina, Knorr, Christian, Kuehlmann, Britta, Oikonomou, Kyriakos, Prantl, Lukas, Flurschütz, Roland, Honarpisheh, Human, Kröger, Marie, Lepiorz, Dominic, Luths, Charlotte, Niemeier, Andreas, Sras, Yara, Strate, Tim, Winter, Thore, Freiman, Thomas, Gessler, Florian, Won, Sae‐yeon, Widyaningsih, Rizky, Hoffmann, Sebastian, Schäfer, Ruth Christine, Thiel, Johannes Tobias, Bertolani, Elisa, Steidle, Christoph, Überrück, Lisa, Yurttas, Can, Ziegler, Patrick, Zimmermann, Alexander, Bolenz, Christian, Dayan, Davut, Greve, Jens, Hoffmann, Thomas K., Janni, Wolfgang, Löbig, Niklas, Schochter, Fabienne, Vahl, Julius Malte, Wezel, Felix, Greif, Veronika, Schmidbauer, Stefan, Marsch, Imke, Schneider, Rolf, Boenicke, Lars, Degener, Stephan, Dreger, Nici Markus, Horstmeier, Franz Christian, Kruschwitz, Jakob, Rombach, Adrian, Schmidt, Nele, Seiberth, Rose, Singh, Jaswinder, Smit, Marieke, Rundstedt, Friedrich‐carl, Zirngibl, Hubert, Diessner, Joachim, Friedrich, Sabine, Germer, Christoph‐thomas, Helmer, Philipp, Herrmann, Johannes, Kranke, Peter, Kübler, Hubert, Lock, Johan, Lotz, Christopher, Meffert, Rainer, Meybohm, Patrick, Müller, Sophie, Notz, Quirin, Popp, Maria, Schlegel, Nicolas, Schlesinger, Tobias, Schmid, Benedikt, Sitter, Magdalena, Steinisch, Andreas, Treutlein, Agnes, Berg, Anne, Wurmb, Thomas Erik, Agyeman‐duah, Nana Kwaku, Appiah, Enoch, Armah, Ralph, Asare, Christopher, Awere‐kyere, Lawrence, Daary, Dennis, Gakpetor, Delali, Allah, Stephen Minlah, Obbeng, Ambe, Osei‐poku, Dorcas, Puozaa, Diana, Tackie, Enoch, Adu‐aryee, Nii Armah, Agboadoh, Nelson, Asare, Offei, Bowan, Antoinette Bediako, Brown, George Darko, Clegg‐lamptey, Joe‐nat, Dedey, Florence, Dery, Cedric, Fenu, Benjamin Sena, Harrison, Marian Abedua, Kumassah, Philemon, Kuuzie, Ekins, Nsaful, Josephine, Olayiwola, David Olatayo, Smith, Cecilia, Banka, Charles, Hussey, Romeo, Azize, Diallo Abdoul, Aniakwo, Luke Adagrah, Adofo‐asamoah, Yvonne, Agbeno, Evans Kofi, Agyapong, Meshach Manu, Agyen, Thomas, Mensah, Kwasi Agyen, Alhassan, Baba Alhaji Bin, Amoako‐boateng, Mabel, Appiah‐thompson, Peter, Gyimah, Nita Asamoa‐Manu, Asante‐bremang, Moses, Asante‐asamani, Alvin, Atawurah, Henry, Appiah, Anthony Baffour, Baidoo, Richard Ogirma, Baidoo, Ebikela Ivie, Boakye, Benedict, Boateng, Abigail, Dadoe, Dora, Dayie, Makafui Seth Caleb‐Joshua Kwasi, Debrah, Samuel, Doku, Kingsley, Enti, Enti, Ken‐amoah, Sebastian, Koggoh, Patience, Kpangkpari, Richard, Maison, Patrick, Mensah, Samuel, Mensah, Philip, Mensah, Teresa Aba, Morna, Martin Tangnaa, Nimako‐mensah, Jilac, Nkrumah, John, Nortey, Michael, Ofori, Emmaunel Owusu, Opandoh, Isabella Naa Morkor, Osei‐tutu, Ethel, Adae, Jefferson Owusu, Quansah, Kofi, Quartson, Elizabeth, Rahman, Ganiyu Adebisi, Walawah, David, Yigah, Makafui, Yussif, Safia, Jiagge, Nuna, Nachelleh, Emmanuel, Acquaye, Jane, Agbedinu, Kwabena, Agyei, Fareeda, Agyemang‐prempeh, Akosua, Amo‐antwi, Kwabena, Amoah, Michael, Amoah, George, Amoako, Yaw A, Aning, Daniel Gyawu, Ankobea‐kokroe, Frank, Mintah, Dominic Annor, Anyitey‐kokor, David, Appiah‐kubi, Adu, Arthur, Joshua, Ativor, Vincent, Barnor, Isaac, Braimah, Yasmine, Darko‐asante, Regina, Davor, Anthony, Issahalq, Mohammed Duah, Dzogbefia, Mawutor, Emile, Tano, Fiifi‐yankson, Papa, Gaveh, Valerie, Gudugbe, Senyo, Gyabaah, Solomon, Gyamfi, Frank Enoch, Gyedu, Adam, Gyimah, Derrick, Hammond, Bernard, Jonathan, Boakye‐yiadom, Joseph, Yorke, Konney, Thomas Okpoti, Konney, Anna, Kusi, Kwasi, Kyei, Ishmael, Lovi, Agbenya, Naabo, Nuhu, Nimako, Boateng, Nyadu, Beauty, Nyarko, Obed Ofori, Ofosu‐barko, Ben Blay, Oppong, Philip Peprah, Osabutey, Anita, Poku, Martha, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abass, Adam, Abdul‐mumin, Alhassan, Adjeso, Theophilus, Alatiiga, John Abanga, Amadu, Munira, Annan, Nathaniel, Leal, German Azahares, Bukari, Mohammed, Buunaaim, Alexis, Cheyuo, Ernest, Salifu, Latif Daboo, Damah, Michael, Dery, Malcolm, Dzantor, Edem Kojo, Garcia, Odoniel Guerra, Baba, Yabasin Iddrisu, Issaka, Adamu, Muntaka, Abdul‐Jalilu Mohammed, Murphy, James, Agyeman, Yaa Nyarko, Amankwaa, Wisdom Opoku, Osman, Imoro, Pie, Samuel, Seidu, Anwar Sadat, Sheriff, Mohammed, Charadan, Ana Maria Simono, Titigah, Abraham, Yahaya, Mundashiru, Yakubu, Musah, Yenli, Edwin Mwintiereh Ta‐ang, Grypiotis, Ioannis, Kiriakopoulos, Nikolaos, Koliopoulos, Georgios, Kyvelos, Vasilis, Micha, Georgia, Papadopoulou, Triada, Balalis, Dimitrios, Fradelos, Evangelos, Korkolis, Dimitrios, Alexakis, Nicholas, Angelou, Kyveli, Haidopoulos, Dimitrios, Prodromidou, Anastasia, Rodolakis, Alexandros, Thomakos, Nikolaos, Psychogios, Dimitris, Antonakis, Pantelis, Bramis, Konstantinos, Chardalias, Leonidas, Contis, Ioannis, Dafnios, Nikos, Dellaportas, Dionysios, Dimitra, Papalouka, Fragkoulidis, Georgios, Gkiokas, Georgios, Gklavas, Antonios, Hadjizacharias, Theodoros, Karageorgou, Dimitra, Konstadoulakis, Manousos, Kontopoulou, Christina, Massaras, Dimitrios, Memos, Nikolaos, Papaconstantinou, Ioannis, Politis, Dimitrios, Polydorou, Andreas, Stamatis, Konstantinos, Theodosopoulos, Theodosios, Vezakis, Antonios, Avgerinos, Konstantinos, Katunin, Jevgeni, Kechagias, Aristotelis, Kelgiorgi, Dionysia, Kritikos, Neoklis, Pengermä, Pasi, Bisdas, Theodosios, Ioannidis, Argyrios, Konstantinidis, Michael, Konstantinidou, Sofia, Patelis, Nikolaos, Antonopoulou, Maria Ioanna, Deskou, Eirini, Kalles, Vasileios, Manatakis, Dimitrios K., Stamos, Nikolaos, Tasis, Nikolaos, Arkadopoulos, Nikolaos, Danias, Nikolaos, Economopoulou, Panagiota, Frountzas, Maximos, Kokoropoulos, Panagiotis, Michalopoulos, Nikolaos, Selmani, Jonida, Sidiropoulos, Theodoros, Vassiliu, Panteleimon, Paraskevas, Kosmas I., Bartziotas, Dimitrios, Bouchagier, Konstantinos, Galanis, Ilias, Kalamatianos, Theodosis, Kapiris, Stylianos, Kolinioti, Angeliki, Mavrodimitraki, Eleni, Metaxas, Panagiotis, Nikova, Alexandrina, Psarologos, Michail, Sotiropoulou, Maria, Stranjalis, George, Albanopoulos, Konstantinos, Kondilis, Panagiotis, Vrakopoulou, Gavriella Zoi, Chrysovergis, Aristeidis, Chrysovitsiotis, Georgios, Giotakis, Evangelos, Kanellopoulou, Vasiliki, Kyrodimos, Efthymios, Larentzakis, Andreas, Pantos, Pavlos, Papanikolaou, Vasileios, Potamianos, Spyridon, Theodoropoulos, Charalampos, Triantafyllou, Alexandra, Triantafyllou, Tania, Georgousi, Kleoniki, Panagiotou, Peter, Avramidis, Emmanouil, Babis, George, Zafeiris, Evangelos, Antoniou, Afroditi, Bessias, Nikolaos, Maras, Dimitris, Papas, Theofanis, Roditis, Konstantinos, Tsagkos, Ioannis, Tsiantoula, Paraskevi, Alexandrou, Andreas, Baili, Efstratia, Charalabopoulos, Alexandros, Dimitroulis, Dimitrios, Dorovinis, Panagiotis, Garoufalia, Zoe, Kanavidis, Prodromos, Karavokyros, Ioannis, Karydakis, Lysandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Nikiteas, Nikolaos, Papalampros, Alexandros, Schizas, Dimitrios, Skotsimara, Antonia, Stamopoulos, Paraskevas, Syllaios, Athanasios, Terras, Alexis, Tomara, Nefeli, Tsourouflis, Gerasimos, Vagios, Ilias, Zografos, Constantinos, Apostolou, Konstantinos, Georgopoulos, Nikolaos, Antoniou, Theofani, Antzaka, Christina, Falara, Areti, Fragoulis, Socrates, Ftikos, Panagiotis, Matsouka, Fedra, Perreas, Konstantinos, Rellia, Panagiota, Samara, Evangelia, Smirli, Anna, Tasouli, Androniki, Thanopoulos, Apostolos, Chalkias, Petros Loukas, Dedemadi, Georgia, Mourmouris, Panagiotis, Skolarikos, Andreas, Theochari, Nikoletta, Tzelves, Lazaros, Gaitanakis, Stylianos, Milas, Theodoros, Theodorakis, Emmanuel, Karona, Paraskevi, Kastanaki, Pagona, Tzouganakis, Angelos, Agalianos, Christos, Tsouknidas, Ioannis, Xenakis, Andreas, Chrysos, Emmanuel, Lasithiotakis, Konstantinos, Nikolouzakis, Taxiarchis, Xenaki, Sofia, Xynos, Evangelos, Lostoridis, Eftychios, Nagorni, Eleni‐aikaterini, Pujante, Antonio, Tourountzi, Paraskevi, Aggeliki, Al, Baxevanidou, Kyriaki, Bouliaris, Konstantinos, Efthimiou, Matheos, Kalfountzos, Christos, Koukoulis, Georgios, Lachanas, Vasileios, Petropoulos, Konstantinos, Tsitiridis, Ioannis, Angelis, Fragkiskos, Arnaoutoglou, Eleni, Baloyiannis, Ioannis, Bareka, Metaxia, Bouronikou, Anna, Christodoulidis, Gregory, Daponte, Alexandros, Fergadi, Maria, Gkolias, Nick, Gkrinia, Eleni, Hajiioannou, Jiannis, Kalogritsas, Nikos, Karoni, Eleni, Korais, Christos, Krestinidis, Giorgos, Ktisti, Antigoni, Magouliotis, Dimitrios, Maiou, Charikleia, Malizos, Konstantinos, Minasidou, Maria, Ntalouka, Maria, Ntziovara, Anna Maria, Palla, Effrosyni, Perivoliotis, Konstantinos, Saini, Fani, Samara, Athina, Saratziotis, Athanasios, Skoulakis, Charalampos, Solomi, Efthymios, Stamoulis, Konstantinos, Terzoudis, Christos Dimitrios, Tsironi, Evangelia, Tzovaras, George, Vallianou, Kyriaki, Zacharoulis, Dimitris, Ziogkou, Anna, Δακής, Κωνσταντί__ς, Elias, Liolis, Maroulis, Ioannis, Mulita, Francesk, Plachouri, Kerasia‐maria, Vailas, Michail, Doitsidis, Charalampos, Filo, Eva, Gkalonaki, Ioanna, Kogia, Eleni, Kontopoulou, Konstantina, Mitroudi, Magdalini, Panteli, Christina, Patoulias, Ioannis, Semkoglou, Olga Ioulia, Sfoungaris, Dimitrios, Valioulis, Ioannis, υτσ_υ μης, Γι ωργος, Astreidis, Ioannis, Christidis, Panagiotis, Ioannidis, Orestis, Loutzidou, Lydia, Mantevas, Antonis, Paraskevopoulos, Konstantinos, Tatsis, Dimitris, Athanasiadis, Apostolos, Dagklis, Themistoklis, Kalogiannidis, Ioannis, Kapetanios, Georgios, Mamopoulos, Apostolos, Margioula‐siarkou, Chrysoula, Petousis, Stamatios, Tsakiridis, Ioannis, Anthoulakis, Christos, Christou, Chrysanthos, Fantakis, Antonios, Iordanidou, Eirini, Kaselas, Christos, Panagiotidou, Sousana, Papadopoulos, Vasileios, Papavasiliou, Kyriakos, Piachas, Athanasios, Siasios, Ioannis, Spyridakis, Ioannis, Theodoridis, Theodoros, Tooulias, Andreas, Tsiridis, Eleftherios, Tsopozidi, Maria, Alemán, María, Brolo, Estuardo, Lemus, Ana Lucia, Greenberg, Jennifer, Chew, Krisna Mishel Morales, Oliva, José Rodrigo, Lima, María Alejandra De León, Muralles, Ismar Lopez, Solares, Felipe, Ajcip, Gaby, Anton, Claudia, Cojulun, Jose, Flores, Mario‐andrés, José, Noriega, Paiz, Carlos Adolfo Marroquín, Morales, Steffanía, Najera, Ramiro, Lorenzana, Eduardo Quiñónez, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Ybarra, Natalia, Cajti, José David Pérez, Régil, Carlos, Osorio, Walter A, Arriola, Rember Rosales, Talé‐rosales, Luis‐fernando, Herrera, Danilo, Rodríguez, Servio Tulio Torres, Villeda, Sergio Alejandro, Anicetti, Joshua, Medina, Andrea Michelle Lowey, Ardebol, Javier, Barillas, Kathia, De Leon, Francis, Recinos, Salvador, Marroquin‐alpirez, Miguel‐angel, Yax, Yessica, Hon, Sophie, Liu, Yuk Ho, Liu, Alex Qinyang, Liu, Shirley, Chiu, Hei Tung Natalie, Chow, Chi Man Tom, Hau, Victor, Ho Wai, Ip, Mak, Brian, Mok, Chung Ying, Dennis, Ng, Siu, Yin Yu Eva, Wong, Kiu Fung, Jingya Jane, Pu, Yu‐xiong, Su, Au‐yeung, Kit Ying, Chan, David Yuen Chung, Chan, Albert, Chan, Shannon Melissa, Chang, Tsz Ching, Chiu, Tor Wo, Chiu, Wang Kei, Zhexi, He, Man Fung, Ho, Kevin Ki Wai, Ho, Jacky Yan Kit, Ho, Kung, Janet Wui Cheung, Lam, Cheuk Ho, Lau, Rainbow W. H., Ling, Samuel Ka Kin, Lok, Hon Ting, Mak, Tony Wing Chung, Chi‐fai, Ng, Simon, Ng, Kelvin Kwok‐Chai, Ng, Calvin S. H., Ng, Ong, Michael Tim Yun, Tan, Teresa, Tang, Sui Fan, Teoh, Jeremy Yuen‐Chun, Teoh, Anthony, Tsui, Bess Siu Yan, Wong, George Kwok Chu, Wong, Randolph, Wong, Kwok Chuen, Yee, Chi Hang, Antal, Zsuzsanna, Kalman, Attila, Voros, Peter, Bahrehmand, Kiarash, Echim, Timea, Novak, Zoltan, Sztipits, Tamás, Bihari, Laszló ádám, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Sotonyi, Peter, Szatai, Lilla, Herczeg, György, Pordány, Bálint, Tornyi, Fanni, Dede, Kristof, Egyed, Tamás, Saftics, György, Kulcsicka‐gut, Judit, Sipos, Zsófia, Toth, Dezso, Patel, Bhavin, Majmudar, Hardil, Mankad, Saptak, Pathan, Sohilkhan, Sharathkumarkl, L, Sasatti, Lokesh, Mahankali, Subramanyam, Annayappa, Santhosh Kumar Sampengere, Agrawal, Tulika, Anandan, Premkumar, Baindur, Aditya, Manjunath, Bd, Savitha, C, Anitha, G S, Harigond, Sandeep, Tejeswini, K K, Kesarla, Venkatesh, Manangi, Mallikarjuna, Hareesh, P B, Ranjan, Jyothi K R, Shetty, Athish, Chikkanayakanahalli, Santhosh Shivashankar, Sunil, Tanvi, Syamala, Shreya, Tharanath, Kavya, Atal, Aditya, Rajagopal, Niranjana, Srinath, B S, Vinod, Nk, Thirumanikandan, P L, Mishra, Nitu, Shrivastava, Sushruta, Wadhwani, Rekha, Ahmad, Reyaz, Haq, Zainab Ahmad, Behera, Prateek, Dhurwe, Ritika, Haq, Rehan, Jain, Vaibhav, Jain, Anuj, Karna, Sunaina, Pushpalatha, Kameshwarachari, Raj, Sumit, Santoshi, John Ashutosh, Singh, Pooja, Verma, Virendra, Waindeskar, Vaishali, Yadav, Moorat Singh, Aziz, Zaheda, Chakraborty, Koyel, Chappity, Preetam, Das, Gurudip, Datta, Debajyoti, Jena, Saubhagya Kumar, Kar, Madhabananda, Khuntia, Susanta, Kumar, Pankaj, Kumar, Ravi, Aswathi, Kv, Mishra, Abhijeet, Mishra, Swastik, Mittal, Yash, Muduly, Dillip, Panda, Ritesh, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Rout, Bikram, Sahu, Rabi, Sarkar, Saurav, Singh, Sweta, Sudha, Sanjibani, Sultania, Mahesh, Tripathy, Sujit, Varghese, Paulson, Kansay, Rajeev, Kaushik, Robin, Singh, Simrandeep, Gupta, Sunil Kumar, Khare, Siddhant, Kumar, Vishal, Mohindra, Sandeep, Patil, Ninad, Salunke, Pravin, Savlania, Ajay, Singh, Kavindra, Pradeep Krishna, Rv, Narasimhan, Gomathy, Rela, Mohamed, Appukuttan, Akhila, Goudar, Swati, Mallick, Shweta, Titus, Christi, Chidambarasamy, Ezhir Selvan, Madhavan, Devdas, Murugesan, Anandan, Narayanasamy, Kuppurajan, Barani Kumar, P B, Rajan, Firoz, Vijayaragavan, Paari, Kumar, Arvind, Borthakur, Biplob, Chauhan, Tapan Singh, Govil, Akhil, Gupta, Shubhra, Hanjoora, Vijay Mohan, Sharma, Ashish, Srivastava, Aseem, Tiwari, Saurabh, Vishwani, Vartika, Pendyala, Karuna Sree, Prasad, Navakoti, Bothra, Jyoti, Deb, Mainak, Herle, Koushik, Jayaram, Harish, Kannaiyan, Lavanya, Krithiga, Abirami, Mukta, W, Nagpal, Pooja, Pathak, Prachi, Banerjee, Sumit, Chaudhary, Ramkaran, Choudhary, Gautam Ram, Chugh, Ankita, Dixit, Pawan, Elhence, Abhay, Gahlot, Nitesh, Garg, Mayank, Ghuman, Navdeep Kaur, Jha, Deepak, Kala, Prakash, Kaur, Amanjot, Madduri, Vijay, Pandey, Himanshu, Pareek, Puneet, Pathak, Manish, Rathod, Kirtikumar J, Rodha, Mahaveer Singh, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Singh, Mahendra, Singh, Pratibha, Suryanarayanan, Bhaskar, Vishnoi, Jeewan Ram, Amin, Shivang, Kumar, Rohit, Sharma, Tanishq, Murugesan, Kesavan, Ramasamy, Abhinav Balachandar Subbiah, Chatterjee, Debarshi, Gerber, C Gerber, Naskar, Upasana, Aggarwal, Gaurav, Agrawal, Sanjit Kumar, Ahmed, Azaz, Gupta, Sujoy, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Pipara, Amrit, Priya, Noopur, Raja, Roopak, Shakya, Sudip, Thambudorai, Robin, Kharkongor, Dimple, Agarwal, Anjoo, Akhtar, Naseem, Anand, Akshay, Asnani, Mona, Chaturvedi, Arun, Chaurasia, Akhilanand, Enny, Loreno E., Garg, Surabhi, Gupta, Sameer, Jaiswal, Anoop Kumar, Jaiswal, Somil, Jaware, Yashpal, Kala, Navneet, Karnatak, Ruchi, Kaur, Apjit, Kumar, Vijay, Kumar, Manoj, Kumar, Ambrish, Kumar, Upander, Shrivastava, Amit Kumar, Mehrotra, Seema, Mishra, Brijesh, Mishra, Anand, Namrata, Null, Ojha, Bal Krishna, Ozair, Ahmad, Pal, Uma Shanker, Pandey, Amita, Raja, Nancy, Ramakant, Pooja, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Satyanarayan, Sankhwar, Pushp, Sarin, Divya, Shukla, Ayushi, Singh, Sushil, Singh, Mohit, Singh, Kul Ranjan, Singh, Renu, Singh, Uma, Singh, Urmila, Solanki, Vandana, Sonkar, Abhinav Arun, Srivastava, Chhitij, Suryawanshi, Parijat, Tewarson, Vivek, Verma, Rajat, Verma, Manju Lata, Yadav, Awdhesh, Chand, Gyan, Chanthar, K. M. M. Vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Chopra, Rupali, David, Shakina, Dhar, Tapasya, Dutt, Uma Kant, Dutta, Rohini, Gandhi, Sumir, Haque, Parvez David, Paul Sudhakar John, B, Veetil, Sreejith Kannummal, Kaur, Gurvinder, Kumar, Navneet, Luther, Anil, Mahajan, Anupam, Mahajan, Amit, Mandrelle, Kavita, Mathews, Shefin, Michael, Vishal, Mukherjee, Partho, Pargal, Pinki, Paul, Rajesh, Phillip, Anupam, Phillips, Rachel, Samuel, Abhishek, Singh, Noel, Singh, Inderjot, Singh, Abhijit, Grewal, Sarvpreet Singh, Singhania, Anusha, Thirumalai, Selven, Varghese, Ashish, Wesley, Joshua, Thomas, Josy, Zechariah, Pradeep, Ifthikar, Mariam Anjum, Mathew, Rohan Thomas, Shetty, Rohan, Vijaykumar, M Vijayakumar, Hameed, BM Zeeshan, Ibrahim, Sufyan, Jyothish, Gayathri, Krishna, Sunil, Mathew, Stanley, Kumar, Arjun Suresh, Singh, Narinder, Sinha, Piyush Kumar, Sridhar, Rachith, Agarwal, Sunny, Balasubramaniam, Srikant, Chhatrapati, Swati, Deshpande, Charulata, Dharia, Ashni, Fernandes, Sarita, Gandhi, Suraj, Gore, Mangesh, Jayakumar, Abhilash, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Patil, Manish, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Haridas, Dipti, Shetty, Vijay, Abraham, Bejoy, Agarwal, Varun, Ahmad, Quazi, Asari, Ashishkumar, Attar, Mohammad Ismail, Ayyalasomayajula, Nagaraja Sekhar, Bachawat, Sutej, Bachhav, Shivani, Badhe, Vivek, Badhwar, Sanjiv, Banerjee, Shubhabrata, Basa, Vikas, Bothara, Vipul, Chattopadhyay, Somnath, Chaudhari, Sohin, Chavan, Rahul, Chawathe, Priyank, Dadhich, Shailja, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Dev, Preetham, Dongre, Niren, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Gawande, Mohan, Ghalme, Amol, Ghugare, Bhavisha, Gupta, Ishita, Jain, Manoj, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vaishali, Joshi, Vinay, Kalwadia, Neha, Kapadia, Nandkishore, Kattana, Hari Bipin Radhakrishnan, Kaushik, Tirathram, Kayal, Akshat, Kovale, Shama, Kulkarni, Yogesh, Kumar, Abhaya, Kumar, 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Chowdri, Nisar, Kour, Robindera, Parray, Fazl, Shah, Raahil, Shah, ZAMIR AHMAD, Wani, Rauf, Adamala, Soujanya, Gowder, Ravikanth, Hegde, Siddhi, Mashitha, M S, Sreeram, Shreya, Ankadavar, Sushil, Bafna, Darshan, Dhanani, Bharat, Ingle, Nikhil, Jadhao, Piyush, Joseph, Sinu, Kapote, Swapnil, Karkada, Shirin, Lad, Parag, Lohia, Rajan, Madje, Suyog, Narasiman, Venkateshwaran, Chisthi, Meer, George, Gejoe, Jothi, Harihara, Pareed, Dilber, Mathew, Godwin David C., Abel, Livingston, Agrawal, Mansi, Rabindranath, B, Baldia, Manish, Barla, Ravi Kishore, Beck, Manisha, Benjamin, Santosh, Bliss, Jeremy, Cherian, Lisa, Devarakonda, Sreekar, Ete, Geley, George, Arun Jacob Philip, Gohil, Amish, James, Deeptiman, Jesudason, Mark Ranjan, Joseph, Lallu, Joseph, Treasa, Joyson, Kathir, Karnan, Gomathi, Kota, Albert, Kumari, Pushplata, Loganathan, Anitha, Samuel, Vasanth Mark, Mathew, John, Nathan, Senthil K, Ninan, Joby Elizabeth, Philip, Ajay, Priyadarshini, R. Priyadarshini, Suganya, S, Samuel, Habie, Samuel, Gilbert, Selvaraj, Daniel, Sharma, Srujan, Surendran, Suraj, Hariharan, T D, Thangaraj, Santhosh Kumar, Thomas, Vinotha, Thomas, Varghese, Thomas, John K, Harish, Y S, Boggavarapu, Manobhiram, Voonna, Murali Krishna, Lolobali, Marilaeta Cindryani, Ryalino, Christopher, Senapathi, Tjokorda Gde Agung, Tjokorda, Mahadewa, Widnyana, I Made Gede, Aditianingsih, Dita, Auerkari, Aino, Chandra, Susilo, Damara, Fachreza Aryo, Dilmy, Mohammad Adya Firmansha, Harzif, Achmad Kemal, Manggala, Sidharta Kusuma, Pratama, Dedy, Priyambodo, Affan, Ramlan, Andi Ade, Soenarto, Ratna Farida, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Tantri, Aida Rosita, Zahra, Raihanita, Fachrian, Dedy, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Pajan, Hendra, Amrullah, Ahmad Hannan, Anam, Khoirul, Hadipranata, Thirza, Sugianto, Julius Albert, Fitrisyah, Aidyl, Lestari, Mayang Indah, Lubis, Nur Rachmat, Zainal, Rizal, Zulkifli, Zulkifli, Amba, Erick Gamaliel, Lie, Warren, Thehumury, Andika Adiputra, Apriawan, Tedy, Aji, Yunus Kuntawi, Wathoni, Roidah Taqiyya Zahra, Anwar, Sumadi Lukman, Aryandono, Teguh, Harahap, Wirsma Arif, Kurniawaty, Juni, Sari, Djayanti, Wahyono, Artanto, Widyastuti, Yunita, Jufan, Akhmad Yun, Arjmand, Parisa, Etezadpour, Mohammad, Ganjeifar, Babak, Hosseinpoor, Masoumeh, Mehrad‐majd, Hassan, Rajati, Mohsen, Assadi, Reza, Noori, Ehsan, Rajaei, Parisa, Hajisadeghi, Samira, Mehdizadeh, Mohammad, Soltani, Mina, Alizadeh, Narges, Nia, Gholamreza Azarnia Azar, Heidari, Hamid, Zavareh, Seyedmohamad Hosseini Zavareh Hosseini, Pour, Ali Moazami Pour Moazami, Savaddar, Farokh, Vahedian, Mostafa, Amouzegar, Hoora, Bahadorzadeh, Mojdeh, Hemmasi, Seyedeh Homa, Kachoie, Ahmad, Karimi, Ali Karimi, Miraj, Sepideh, Mirzaie, Monireh, Mokarami, Hossein Mokarami, Salimi, Amrollah, Ahangari, Roghayyeh, Ahmadvand, Ali, Bashiri, Ali, Borhani, Morteza, Haidari, Mohammad, Khosroshahi, Mohammad Taghi 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Seyyed Hossein, Siavashi, Babak, Al‐isawi, Ali, Al‐masood, Mohammed, Al‐najjar, Dania, Gahtan, Yarub, Nabil, Sara, Hameed, Najat Abdul, Hameed, Jumana Abdul, Ahmed, Abdullah, Akadh, Ali, Hussein, Rand, Aljebur, Abbas, Hassan, Sadik, Ali, Haithem Hussein, Al‐hasani, Fahad, Ibrahim, Mustafa Wameedh, Saeed, Mubder Mohammed, Muhssein, Haidar, Akindoyin, Success, Barry, Stevie, Dewan, Nikhil, Ekwere, Bosom, Essajee, Murtaza, Langhe, Ream, Marshall, Calista, Musa, Darya, Ahmad, Zeeshan, Andrews, Emmet, Chin, Bruno Chan, Corrigan, Mark, Murphy, Amy Edwards, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Hsiao, Michelle, Kayyal, Mohd Yasser, Killeen, Shane, Lyons, Maria, Burke, Cathy, Hewitt, Matt, Mohamed, Marwa, Nazir, Syeda Farah, Mei Yee, Ng, Wahab, Nor Azlia Abdul, Monteith, Cathy, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Corr, Paula, Crone, Lauren, Harris, Johnathon, Hill, Arnold, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Ryan, James, Hehir, Mark Philip, Regan, 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Azeem, Imran, Bahadoor, Muhammad Usaama, Bodnar, Zsolt, Elmusharaf, Hassan, Hassan, Faisal Saeed, Hingum, Adam, Huan, Huilun, Jennings, Seamus, Khalid, Mohamed Hamed, Kuteva, Mariya, Mujtaba, Syed Nadeem, Peeriyah, Shanell, Rehman, Hina, Sarwar, Muhammad Assam, Shaju, Tony, Stephens, Ian, Sugrue, Michael, Thomas, Joseph, Varzgalis, Manvydas, Zeeshan, Saqib, Jaffer, Alisha, Jones‐whiting, Larne, Peirce, Colin, Johnston, Sean, Lim, Seantee, Abdelgadir, Alwaleed, Al‐mukhaizeem, Youssef, Cooke, Fiachra, Crowley, Clare, Cullen, Ivor, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Martinez, Claudia Guerrero, Hamza, Mohamed Alfatih, Hassan, Mekki, Hegazy, Ibrahim, Hill, Rhodri, Kazim, Amr, Khalid, Azriny Shaziela, Khalid, Muhammad Abdullah, Majeed, Zubair, Manning, Aidan, Mccullough, Peter, Murphy, Seamus, Neary, Peter, Noone, Anthony, O’Donoghue, Gerrard, O’Kelly, John, Odonnell, Eddie, Osman, Elaf, Ryan, Jessica, Saeed, Rafeh, Arar, Ahmad Abo, Abed, Arsan Abu, Dykman, Daniel, Elnassasra, 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Martines, Gennaro, Papagni, Vincenzo, Picciariello, Arcangelo, Magnone, Stefano, Pisano, Michele, Poiasina, Elia, Alberici, Laura, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Bernante, Paolo, Bertoglio, Pietro, Bianchi, Lorenzo, Bisulli, Maria, Bonfanti, Barbara, Boussedra, Safia, Brandolini, Jury, Cacciapuoti, Crescenzo, Cardelli, Stefano, Casadei, Riccardo, Cescon, Matteo, Cipolli, Alessandro, Cipriani, Riccardo, Contu, Luca, Costa, Francesco, Daddi, Niccolo, De Crescenzo, Eugenia, De Iaco, Pierandrea, De Palma, Alessandra, Del Gaudio, Massimo, Gatta, Anna Nunzia Della, Dolci, Giampiero, Dondi, Giulia, Droghetti, Matteo, Parri, Sergio Nicola Forti, Garelli, Elena, Gelati, Chiara, Germinario, Giuliana, Giorgini, Federico A., Ingaldi, Carlo, Jovine, Elio, Kawamukai, Kenji, Lanci, Antonio Lanci, Lombardi, Raffaele, Miralles, Maria Elisa Lozano, Marchetti, Claudio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Parlanti, Daniele, Pellegrini, Alice, Perrone, Anna Myriam, Pezzuto, Anna Paola, Pignatti, Marco, Pilu, Gianluigi, Pinto, Valentina, Poggioli, Gilberto, Puglisi, Silvana Bernadetta, Raimondo, Diego, Ravaioli, Matteo, Ricci, Claudio, Ricciardi, Sara, Ricotta, Francesco, Rizzo, Roberta, Romano, Angela, Rottoli, Matteo, Schiavina, Riccardo, Seracchioli, Renato, Serenari, Matteo, Serra, Margherita, Solli, Piergiorgio, Sorbi, Gioia, Taffurelli, Mario, Tanzanu, Marta, Tarsitano, Achille, Tesei, Marco, Vago, Gabriele, Violante, Tommaso, Zanotti, Simone, Aspide, Raffaele, Bertolini, Giacomo, Bortolotti, Carlo, Carretta, Alessandro, Caruso, Ambra, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Mazzatenta, Diego, Pirina, Alessandro, Rosetti, Vittoria, Sturiale, Carmelo, Vincenzi, Matteo, Zoli, Matteo, Castagnini, Francesco, Donati, Davide Maria, Frisoni, Tommaso, Lucchini, Stefano, Palmerini, Emanuela, Traina, Francesco, Baietti, Anna Maria, Berselli, Bruno, Bolognesi, Silvia, Fabbri, Erich, Farnia, Francesco, Maremonti, Pietro, Marganella, Concetta, Pasquini, Ernesto, Piserchia, Vito Antonio, Prucher, Gian Marco, Razzaboni, Alessandra, Ricci, Silvia, Sollini, Giacomo, Testoni, Caterina, Hilal, Mohammed Abu, Graaf, Nine, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Cagnazzi, Elena, D’Alessio, Rossella, Doglietto, Francesco, Ferrari, Federico, Fontanella, Marco, Igor, Batog, Molfino, Sarah, Odicino, Franco, Panciani, Pier Paolo, Saraceno, Giorgio, Sartori, Enrico, Zanin, Luca, Esposito, Giuseppe, Frongia, Federica, Pisanu, Adolfo, Podda, Mauro, Cillara, Nicola, Putzu, Alessandro Cannavera, Sechi, Raffaele, Abate, Emmanuele, Casati, Massimiliano, Laface, Letizia, Schiavo, Marcello, Marino, Fabio, Perrone, Fabrizio, Annicchiarico, Paolo, Cappellani, Alessandro, Cavallo, Matteo, Giaquinta, Alessia, Gioco, Rossella, Veroux, Massimiliano, Veroux, Pierfrancesco, Zanghì, Antonino, Cianci, Antonio, Giudice, Arturo Lo, Matarazzo, Maria Grazia, Russo, Giorgio Ivan, Sarpietro, Giuseppe, 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Fabbri, Nicolò, Fazzin, Marta, Feo, Carlo V., Torchiaro, Marco, Costi, Renato, Virgilio, Edoardo, Arlia, Lorenzo, Barbato, Giuseppe, Bartolini, Ilenia, Bottari, Andrea, Bruno, Chiara, Bruscino, Alessandro, Checcucci, Carlotta, Cianchi, Fabio, Coratti, Francesco, De Vincenti, Rosita, Di Bella, Annamaria, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Gigliucci, Giacomo, Locatello, Luca Giovanni, Maltinti, Gherardo, Martellucci, Jacopo, Prosperi, Paolo, Ringressi, Maria Novella, Sorbi, Flavia, Staderini, Fabio, Taddei, Antonio, Anastasi, Alessandro, Canonico, Giuseppe, Chisci, Emiliano, Gabellini, Linda, Masciello, Fabrizio, Michelagnoli, Stefano, Nelli, Tommaso, Tirloni, Luca, Alemanno, Giovanni, Arminio, Armando, Beck, Renata, Bergamini, Carlo, Cotoia, Antonella, Lizzi, Vincenzo, Maccagnano, Giuseppe, Pesce, Vito, Sarni, Antonio Luciano, Tartaglia, Nicola, Vovola, Fernanda, Avanzolini, Andrea, Bocchino, Antonio, Bova, Raffaele, Cavaliere, Davide, D’Acapito, Fabrizio, Ercolani, Giorgio, Fappiano, Francesca, Pacilio, Carlo Alberto, Solaini, Leonardo, D’Andrea, Giancarlo, Lavalle, Laura, Picotti, Veronica, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Diaz, Raquel, Ferrero, Simone, Fregatti, Piero, Gustavino, Claudio, Iester, Michele, Kratochwila, Chiara, Massobrio, Andrea, Pertile, Davide, Scabini, Stefano, Scovazzi, Umberto, Soriero, Domenico, Sparavigna, Marco, Traverso, Carlo, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, D’Ugo, Stefano, Depalma, Norma, Spampinato, Marcello Giuseppe, Airoldi, Angelo, Brivio, Ariberto, Chiarelli, Marco, Gibelli, Ludovica, Giulia, Bonfanti, Grandi, Samuele, Pesenti, Giovanni, Tagliabue, Fulvio, Zago, Mauro, Lenzi, Riccardo, Matteucci, Jacopo, Muscatello, Luca, Colletti, Gaia, Confalonieri, Marco Guido, Costanzi, Andrea, Frattaruolo, Colomba, Locatelli, Andrea, Monteleone, Michela, Badessi, Giorgio, Caffo, Maria, Caruso, Gerardo, Cucinotta, Eugenio, Germano, Antonino Francesco, Mazzeo, Carmelo, Bertoglio, Camillo Leonardo, De Martini, Paolo, Ferrari, Giovanni, Giani, Alessandro, Lombardi, Pietro Maria, Mazzola, Michele, Baldari, Ludovica, Bissacco, Daniele, Boni, Luigi, Cassinotti, Elisa, Domanin, Maurizio, Pignataro, Lorenzo, Torretta, Sara, Trimarchi, Santi, Armellin, Daniele, Basato, Silvia, Bernardi, Laura, Bunino, Francesca, Capretti, Giovanni, Carrano, Francesco Maria, Castoro, Carlo, Colombo, Giovanni, Costantino, Andrea, De Lucia, Francesca, De Virgilio, Armando, Di Bari, Matteo, Ferreli, Fabio, Gaino, Francesca, Gramellini, Marco, La Raja, Carlotta, Malvezzi, Luca, Marano, Salvatore, Mercante, Giuseppe, Milana, Flavio, Nappo, Gennaro, Peros, Georgios, Pirola, Francesca, Rossi, Vanessa, Russo, Elena, Spriano, Giuseppe, Tamburello, Sara, Zerbi, Alessandro, Aiolfi, Alberto, Bona, Davide, Sozzi, Andrea, Adamoli, Laura, Ansarin, Mohssen, Bertolaccini, Luca, Cenciarelli, Sabine, Chu, Francesco, De Berardinis, Rita, Romario, Uberto Fumagalli, Pietrobon, Giacomo, Sedda, Giulia, Spaggiari, Lorenzo, Tagliabue, Marta, Ardito, Antonella, Caputo, Maria, Cellerino, Paola, D’Alessandro, Valentina, Galfrascoli, Elisa, Giusti, Maria Paola, Lotti, Marco, Santambrogio, Roberto, Zappa, Marco Antonio, Bondurri, Andrea, Bonomi, Alessandro Michele, Colombo, Francesco, Crespi, Michele Achille, Danelli, Piergiorgio, Epifani, Angelo Gabriele, Ferrario, Luca, Frontali, Alice, Guerci, Claudio, Maffioli, Anna, Ferrara, Francesco, Aldrighetti, Luca Antonio, Baccellieri, Domenico, Bertoglio, Luca, Bonavina, Giulia, Candiani, Massimo, Candotti, Giorgio, Casiraghi, Arianna, Castellano, Laura Mariangela, Cavoretto, Paolo Ivo, Chiesa, Roberto, Cipriani, Federica, De Nardi, Paola, Fiorentini, Guido, Gagliardi, Filippo, Galdini, Alessandro, Grandi, Alessandro, Marotta, Elena, Massaron, Simonetta, Melloni, Andrea, Mortini, Pietro, Nocera, Gianluca, Piloni, Martina, Pozzoni, Mirko, Ratti, Francesca, Rosati, Riccardo, Ruffolo, Alessandro Ferdinando, Sileri, Pierpaolo, Spina, Alfio, Vignali, Andrea, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Di Tomasso, Nora, Fresilli, Stefano, Landoni, Giovanni, Lazzari, Stefano, Lombardi, Gaetano, Marmiere, Marilena, Monaco, Fabrizio, Todaro, Gabriele, Turi, Stefano, Zangrillo, Alberto, Bertolina, Francesca, Bogani, Giorgio, Bonomi, Stefano, Cadenelli, Pierfrancesco, Chiappa, Valentina, Cioffi, Stefano Piero Bernardo, Citterio, Davide, Comini, Lara Valentina, Cortinovis, Umberto, Cosimelli, Maurizio, Ditto, Antonino, Gennaro, Massimiliano, Giannini, Lorenzo, Guaglio, Marcello, Guzzo, Marco, Leva, Andrea, Macchi, Alberto, Manzo, Elena, Martinelli, Fabio, Mattavelli, Ilaria, Mazzaferro, Vincenzo Maria, Raspagliesi, Francesco, Rolli, Luigi, Sala, Laura, Salvioni, Roberto, Santinami, Mario, Segattini, Silvia, Sorrentino, Luca, Zaborra, Carlotta, Anesi, Alexandre, Pattacini, Gianmaria Casoni, Di Bartolomeo, Mattia, Pecchini, Francesca, Pellacani, Arrigo, Piccoli, Micaela, 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Francesco, Altana, Cristian, Bussu, Francesco, Capobianco, Giampiero, Carta, Anna Giacomina, Ciccarello, Sandro, Cossu, Maria Laura, Cottu, Pietrina, De Riu, Giacomo, Dessole, Salvatore, Dessole, Francesco, Dettori, Salvatora, Doria, Carlo, Fancellu, Alessandro, Feo, Claudio F, Ginesu, Giorgio Carlo, Giuliani, Giuliana, Iannuccelli, Marco Giuseppe, Madonia, Massimo, Mancino, Roberto, Massarelli, Olindo, Meloni, Gianfranco, Milia, Fabio, Mulliri, Andrea, Perra, Teresa, Petrillo, Marco, Piras, Antonio, Piredda, Franco, Pisanu, Francesco, Porcu, Alberto, Rizzo, Davide, Sanna, Angelino, Scanu, Antonio Mario, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Tedde, Alessandro, Tedde, Matteo, Vaira, Luigi Angelo, Pazzi, Andrea Bartalini Cinughi, Samorani, Osvaldo Carpineto, Fusario, Daniele, Marano, Luigi, Oldrà, Gaia, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Ricchiuti, Vincenzo, Roviello, Franco, Savelli, Vinno, Abrate, Alberto, Bordoni, Pierpaolo, Bosio, Lorenzo, Clarizia, Guglielmo, Fleres, Francesco, Franzini, Marco, Fratto, Antonio, Giumelli, Pierluigi, Grechi, Alessandro, Longhini, Alessandro, Lorusso, Fabrizio, Scarnecchia, Elisa, Scolari, Federica, Spolini, Alessandro, Maiuri, Vincenzo, Papandrea, Matteo, Roncone, Arturo, Conti, Lorenzo, Rizzi, Andrea, Rovagnati, Marco, Brolese, Alberto, Cai, Tommaso, Ciarleglio, Francesco Antonio, Dalprà, Francesca, Malossini, Gianni, Mereu, Liliana, Tamanini, Irene, Tateo, Saverio, Viel, Giovanni, Battistella, Enrico, Rizzo, Paolo Boscolo, Fabbris, Cristoforo, Massani, Marco, Spinato, Giacomo, Tutino, Roberta, Grossi, Ugo, Iacomino, Alessandro, Novello, Simone, Romano, Maurizio, Rossi, Serena, Santoro, Giulio, Zanus, Giacomo, Trungu, Sokol, Aizza, Giada, Bellio, Gabriele, Bogoni, Selene, Bortul, Marina, Casagranda, Biagio, Cortinovis, Sara, Manzini, Nicolò, Drigo, Davide, Germani, Paola, Mastronardi, Manuela, Paiano, Lucia, Palmisano, Silvia, Filosso, Pier Luigi, Guerrera, Francesco, Marro, Matteo, Rinaldi, Mauro, Ruffini, Enrico, Salizzoni, Stefano, Bardelli, Laura, Berselli, Mattia, Borroni, Giacomo, Cocozza, Eugenio, Desio, Matteo, Elisa, Bottazzoli, Ietto, Giuseppe, Iori, Valentina, Iovino, Domenico, Livraghi, Lorenzo, Marchionini, Valentina, Megna, Stefano, Nahal, Emma Amal, Palumbo, Mara, Quintodei, Valeria, Zullo, Alessandra, D’Alimonte, Lucrezia, Pirozzolo, Giovanni, Vignotto, Chiara, Campagnaro, Tommaso, Caravati, Andrea, Conci, Simone, De Cristofaro, Carlotta, Gecchele, Gabriele, Giuliani, Tommaso, Graziosi, Jacopo, Guglielmi, Alfredo, Paiella, Salvatore, Pedrazzani, Corrado, Pollini, Tommaso, Rattizzato, Simone, Ruzzenente, Andrea, Salvia, Roberto, Turri, Giulia, Bacchion, Matilde, Butturini, Giovanni, Casaril, Andrea, Giardino, Alessandro, Impellizzeri, Harmony, Inama, Marco, Isabella, Frigerio, Moretto, Gianluigi, De Zuanni, Marco, Deiana, Enrica, Guglielmo, Mario, Broglia, Alessandro, Casarini, Claudia, Zingaretti, Caterina Costanza, Bonaldi, Marta, Cesana, Giovanni, Mastriale, Francesco, Olmi, Stefano, Fukami, Matteo Uccelli Yasuyuki, Saito, Takuya, Sano, Tsuyoshi, Hirai, Naoki, Hirota, Kazuyoshi, Kushikata, Tetsuya, Oyama, Tasuku, Saito, Junichi, Ishibashi, Katsuhiko, Kamiyama, Mizue, Son, Kyongsuk, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Aze, Chisaki, Deguchi, Yoshihiko, Hasegawa, Hirotoshi, Hoshino, Tatsuki, Innami, Yasushi, Inoue, Hiroyuki, Ito, Shingo, Nomura, Takeshi, Ogihara, Tomomi, Okada, Reina, Ouchi, Takashi, Sekiya, Yuri, Tachibana, Keikoku, Takano, Emi, Yamamoto, Masae, Matsuda, Shuko, Matsuki, Yuka, Shigemi, Kenji, Hiraki, Teruyuki, Inoue, Yui, Jotaki, Shosaburo, Abe, Tatsuro, Eto, Masatoshi, Inokuchi, Junichi, Kashiwagi, Eiji, Kinoshita, Fumio, Kobayashi, Satoshi, Lee, Ken, Matsumoto, Takashi, Monji, Keisuke, Naganuma, Hidekazu, Shiota, Masaki, Takeuchi, Ario, Obara, Shinju, Takatsuki, Saori, Tanaka, Saori, Iida, Koji, Kagawa, Kota, Neshige, Shuichiro, Chaki, Tomohiro, Hirata, Naoyuki, Kazuma, Satoshi, Kimizuka, 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Toshinori, Michiura, Taku, Miki, Hirokazu, Murakawa, Tomohiro, Okada, Hidetaka, Saito, Tomohito, Saito, Ryoichi, Sugi, Motohiko, Sumi, Genichiro, Yamaki, So, Yamamoto, Tomohisa, Yoshida, Aya, Kambara, Tatsuya, Kanematsu, Sayaka, Satoshi, Okazaki, Hijikawa, Takeshi, Kitade, Hiroaki, Yanagida, Hidesuke, Fujita, Tomoyuki, Fukushima, Satsuki, Tadokoro, Naoki, Furukawa, Taku, Iizuka, Yusuke, Otsuka, Yuji, Sanui, Masamitsu, Sawada, Ikumi, Iwahashi, Hideki, Miyamoto, Morikazu, Takano, Masashi, Mieda, Tsutomu, Ando, Chihiro, Isada, Tetsuro, Ishizaki, Taku, Amer, Qaed Bani, Ishida, Sachi, Kobayashi, Yasuma, Kuratani, Norifumi, Sakurai, Tomoe, Takada, Misa, Iba, Yutaka, Tsukagoshi, Junji, Yamada, Akira, Amano, Yuki, Fumoto, Kentaro, Noro, Shusaku, Fujimoto, Ayataka, Tomoto, Kyoichi, Okamura, Yukiyasu, Sugiura, Teiichi, Uesaka, Katshuhiko, Takemura, Natsuki, Kuroda, Kento, Hayashi, Megumi, Kaneko, Satoi, Kawagoe, Izumi, Kochiyama, Tsukasa, Yamaguchi, Ai, Abe, Nobutsugu, Ando, Tadao, Chinzei, Mieko, Hirano, Kouichi, Kobayashi, Yoichi, Matsuki, Ryota, Matsumoto, Hironori, Motoyasu, Akira, Nakazawa, Harumasa, Noguchi, Hikari, Okamura, Kaio, Ono, Motoaki, Seki, Hiroyuki, Sunami, Eiji, Tajima, Atsushi, Tanigaki, Shinji, Uzawa, Kohji, Watanabe, Hidenobu, Furuhata, Yukari, Toyama, Satoshi, Uchida, Tokujiro, Enomoto, Yutaka, Furukawa, Yuri, Hasumi, Yoko, Hirota, Jinso, Iida, Katsuyuki, Ikeda, Shingo, Ikeda, Tatsuhiko, Kawamata, Natsuko, Kawasaki, Yosuke, Koizumi, Minako, Kono, Yoshiharu, Kuzuhara, Shigeki, Maeda, Junichi, Moriyama, Mai, Nagamoto, Shoichi, Nakanishi, Rinako, Noda, Michio, Seichi, Atsushi, Takahashi, Shintaro, Takashi, Kobayashi, Takeda, Misuzu, Tanakura, Kenta, Terajima, Katsuyuki, Tsuji, Munechika, Ueshima, Chiharu, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Yuri, Sakoh, Iwata, Shintaro, Kawai, Akira, Osaki, Shuhei, Ishikawa, Masashi, Iwasaki, Masae, Morita, Tomonori, Hirooka, Reina, Nakata, Yoshinori, Sawamura, Shigehito, Ishida, Yusuke, Kawachi, Aya, Kobayashi, Takayuki, Nagashima, Fumiaki, Suzuki, Naoki, Ando, Kohei, Miyazawa, Noriko, Tanaka, Yukio, Abuissa, Khatab, Aljabali, Alaa, Almasri, Amal, Alrabadi, Mera, Alshara, Rana, Alzghoul, Yasmeen, Alzughoul, Ahmed, Freihat, Ali, Jeitan, Emran, Owais, Qais, Smadi, Aseel, Abukhadra, Mahmoud, Abunawas, Huthifa, Al‐azzam, Abdallah Ahmed Mezel, Aladaileh, Ammar, Albadawi, Ismail, Alhawatmeh, Mohammad, Alkhaza’Leh, Mohannad Yaser, Alneimat, Roaa Salem Jwaid, Alwahedy, Saba, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, El‐qawaqzeh, Khaled, Hrerat, Tarteel, Jaradat, Enas, Mubaydeen, Teeba, Sarayrah, Husam, Tarawneh, Mohammad Abdel Elah A., Karasneh, Mohammad Yousef, Zurgan, Amany, Alassaf, Mohammad, Alzraikat, Sayel H., Amarin, Justin Z., Hijjawi, Ahmed, Suradi, Haya H., Zaghlol, Louay Y., Abdalah, Ahmad, Abdallah, Ghaida, Tarieh, Ammar Abu, Abu‐libdeh, Tareq, Abualteen, Faisal, Al Abdallah, Murad, Al Bdour, Zakaria, Al Dahabrh, Seif, Al‐kasaji, Farah, Ali, Zaid Al‐sheikh, Al‐thaher, Mohammad, Alnajjar, Tareq, Alqedrh, Mohannad, Alsaleh, Mohammad, Alzaatreh, Mohammad, Amayreh, Ghandi, Ayasra, Yazeed, Eid, Ahmad, Ghayada, Ibrahim, Moh’d Ahmed Hasanein, Khaled, Hassouneh, Anas, Hijazeen, Raid, Hmeidan, Majedah, Khaled, Ahmed, Khasawneh, Barihan, Kifayeh, Omar, Lafi, Yasser, Seba, Jasem, Semrin, Qusai, Sma, Fda, Theab, Mohammad, Tumeh, Haitham, Zaid, Muna Aba, Abazeed, Alaa, Abbad, Bader, Abbadi, Osaid, Abu‐ishkerih, Nizar, Al‐osta, Malk, Al‐zyadat, Reham, Alawneh, Bashar Omar Falah, Alhattab, Majd, Alkurdieh, Mohd Mujahed, Awwad, Ziad, Hammouri, Mohammad, Hussein, Hamzeh, Khader, Sereen, Khalil, Mariam, Mansour, Omar, Othman, Ahmad, Qandeel, Haitham, Saleem, Mohammad, Souri, Fouad, Tahboub, Ahmad, Tayyem, Raed, Abdallah, Munir, Abdel‐hafez, Ibrahim, Obead, Hamza Abu, Abudari, Hadeel, Abuhamour, Ehab, Abusadah, Samer, Al‐azzeh, Nimer, Al‐adwan, Sofian, Al‐darabah, Ali, Al‐qannas, Mohammad, Albaba, Basil, Alradawneh, Qutaiba, Amaireh, Mohammad, Ashour, Subhi, Chabaan, Reem, Eskander, Ammar, Fawzi, Ahmad, Haij, Manal, Hamad, Hisham, Hamdan, Haya, Hamss, Ahmed, Hassouneh, Esraa, Hyasat, Ayah, Ibrahim, Zainab, Jamaliah, Saja, Khalil, Mohammed, Massad, Anas, Mohamed, Ishak, Qandeel, Mahmoud, Qasrawi, Dalia, Raggad, Mahmoud, Rifai, Ebaa, Semreen, Nedal, Shehada, Reham, Shorman, Marwan, Al‐shibi, Abdallah, Alsa’Afin, Shatha, Bani‐hani, Morad, Nimer, Bahaa, Nofal, Sandra, Qaraqe, Layth, Salameh, Mohammed, Saleh, Ma’Moun, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Yaghmour, Jamal, Zaza, Sabri, Alhindi, Rahaf, Baninasr, Eman, Al‐masri, Mahmoud, Al‐najjar, Hani, Alawneh, Fade, Al‐latayfeh, Motasem, Al‐shudifat, Abdel‐ellah, Ahmad, Abd Almonem Shaikh, Abdeljalil, Abdelkarim, Abdelrahman, Haneen, Abdulmalek, Abdulmalek, Abedalqader, Lina, Abed, Laith Abu, Al Smadi, Omar, Alarood, Salameh, Allouzi, Mohammad, Almansour, Maha, Almi’Ani, Sari, Alsaiad, Abdulhakim, Alshaikh, Khaled, Androus, Farah, Awbakh, Mirna, Azzam, Belal, Yasin, Hammam Bany, Daoud, Maher, Dawod, Lujain, Dawod, Omar, Elmusa, Reem, Fadli, Saba, Hammad, Farah, Hunaiti, Majd, Muhtaseb, Mahmoud, Owaimer, Rawan, Qulaghassi, Zaki, Romman, Saleh, Saket, Rawand, Sharawi, Said, Tawalbeh, Alaa, Al‐howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Za’Nouneh, Faris Jamal Abu, Al DHOUN, Sajedah, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al Shraideh, Ayah Ahmad, Al‐dabaa, Tawfik, Al‐jarrah, Salsabeel, Al‐jarrah, Hothaifa, Al‐othman, Hadeel, Alaradi, Zuhair, Alshannaq, Qutaiba, Alsulaiman, Rima, Alzaqh, Motasem, Alzu’Bi, Yazan, Audat, Ziad, Bahhour, Mohammad, Bdour, Saja, Khatatbeh, Roa, Marji, Fares, Mazahreh, Tagleb, Nail, Dina, Nuseir, Amjad, Rabab’Ah, Asmaa, Sawadi, Taher, Zidan, Ghina, Muhfouz, Dima Abu, Nael, Abdullah, Qasim, Ahmad, Al‐jarrah, Amar, Rawagah, Faisal, Abu Ismail, Dima Y, Al‐dolat, Wedad, Alzoubi, Mai, Alzoubi, Malak, Alzu’Bi, Mu’Taz, Asha, Ruba, Guboug, Ali, Hussein, Hasan, Rawashdeh, Shireen, Sanwar, Mohammad, Ababneh, Adnan, Abu‐eisheh, Basil, Alhami, Haneen Ahmad, Al Dwairi, Saif Aldeen, Al Shurman, Hana’, Al Yahya, Zakaria, Al‐atiyah, Hussam, Al‐balas, Hasan, Aljaiuossi, Anas, Alqawasmi, Shatha, Alqudah, Sadeel, Alshourman, Mahmoud, Hamad, Abdulsalam Bani, Issa, Anas Bany, Ennab, Raed, Hamdoni, Sara, Hijazi, Zaid, Khafaja, Ali, Mraiyan, Mohamed, Obeidat, Riyad, Olaywah, Dina, Qudah, Mohamad, Talal, Mhamdd, Aidarov, Askar, Sarmenova, Aisulu, Kodasbaev, Almat, Sakhov, Orazbek, Tanabayeva, Shynar, Amrayev, Sultan, Dzhumabekov, Berik, Malgazhdarov, Maulen, Tezekbaev, Kanat, Kukubassov, Yerlan, Satanova, Alima, Mwachiro, Michael, Parker, Robert, Simel, Ian, Mohammedali, Shamshuddin, Mwaria, Claude, Obure, Ralph, Shah, Sayed Shah Nur Hussein, Hirani, Chetan, Kibunyi, Muthoni, Mailu, Claire, Mwangi, Victor, Ogenya, Roy, Osea, Lydia, Cheruiyot, Davies, Hirsi, Omar, Muiru, Carolyne, Wanjara, Samuel, Kim, Chang Woo, Lee, Suk Hwan, Almulla, Ahmad, Dashti, Mustafa, Elghany, Omar, Sultan, Abdullah, Al‐mahmeed, Husain, Alabbad, Jasim, Albader, Ibtisam, Aldalal, Shuaib, Baba, Mahdi, Abdulsalam, Fareed, Alhajri, Naser, Alwael, Athari, Ayele, Brook, Marie, Hatem, Zaitoun, Ahmed, Alali, Ahmad M., Alkhamis, Ahmed, Alozairi, Ous, Almazeedi, Sulaiman, Alsabah, Salman, Abdelkarim, Mostafa, Al Rashed, Asmaa, Al Subaie, Saud, Al‐shaiji, Tariq, Al‐terki, Abdullatif, Alhunaidi, Omar, Aljewaied, Ali, Alzamel, Khaled, Farag, Ahmed, Hayati, Hussein, Termos, Salah, Wood, Sarah, Al‐gilani, Maha, Al‐sihan, Mutlaq, Alotaibi, Haifa, Lobovs, Dmitrijs, Pcolkins, Andrejs, Sivins, Armands, Apse, Ingus Arnolds, Berga, Annija Evelīna, Ivanova, Anna, Demicevs, Jevgenijs, Ivanovs, Igors, Kaminskis, Aleksejs, Opincans, Janis, Pāvulāns, Jānis, Rudzāts, Agris, Udre, Anna, Dbouk, Samer, Farfour, Imadeddine, Rakka, Mohamad, Antonios, Ingrid, El Hage, Joe, Hage, Stephanie, Haiby, Lea, Kahi, Hiba, Lichaa, Anthony, Moussa, Rita Milan, Salameh, Michel, Sarkis, Riad, Albaini, Obey, Haykal, Tony, Safadi, Bassem, Abou‐abbass, Hussein, Al Makari, Reem, Al Zein, Zeina, Baidoun, Mariam, Itani, Rania, Owiedat, Mustafa, Abdel Sater, Ali H., Akl, Michel, Badran, Nour, El Mustapha, Sara, Fatouh, Fathallah, Ghoussoub, Youssef, Saad, Nader, Serhan, Fatima, Souleiman, Bassem, Alame, Walid, Ghiya, Peter, Ibrahim, Firas, Abdallah, Rasha, Kassab, Mohamad B., Karout, Samar, Aya Abdul, Al, Chaaban, Hilal, Fakih, Ghinwa, Haj‐ibrahim, Huzifa, Awad, Rabih, El Assaad, Hadi, Alfeqeeh, Ahmed, Muftah, Hosam, Abdulrahman, Taha, Ahseen, Naeimah, Abunaaja, Hayat Omar, Abdulmalik, Abdulmuez, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Elrefai, Nasre, Ahmad, Rofida, Alhouni, Tarek, Alkarky, Safya, Alkeelani, Hana, Alkuwafi, Rauoof, Benhariz, Rema, Bettamer, Nagat, Busarira, Musa, Bushaala, Hassan, Diryaq, Tariq, Elbargathe, Osama, Eldarat, Tarik, Elfadli, Mustafa, Elfitori, Jamael, Elmahgoub, Asma, Elsahti, Reem, Hassan, Yosef, Hussain, Fathi, Mirsal, Taha, Mohammed, Marwa, Saad, Ebtesam, Hadad, Haifaa Il, Mosabha, Mostafa, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Hamed, Mona, Khel, Samer, Omar, Sana, Yousef, Rowaida, Abdelmalik, Abubaker, Abosnaina, Yahya, Abuhlaiga, Ma’Aly, Abushahma, Ahmed Omar, Aldelensi Alzubi, Alhosen Saleh M, Aljanfi, Asma, Alnehum, Mohamed Alnaser, Alzedam, Ahmad, Delhen, Malik, Maderi, Galia, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Jahan, Alhadi, Jahan, Abdussalam, Alazabi, Basma, Alezabi, Bahauldin, Alazabi, Mona Masaud Amro, Egdeer, Amin Salem Ahmed, Sefi, Fatma, Kamoka, Elhusain, Salamah, Abdulrauf, Abdalhadi, Alya, Abdeewi, Saedah, Alhadad, Marwah, Awrayit, Ahmed, Eshnaf, Mabroka, Yahmad, Mohammad, Abudher, Abdulhafid, Elamin, Faisl, Abojeila, Farah, Aliwa, Mohamed, Jouira, Rayet Al Islam Ben, Shagour, Sana, Altobal, Ahmed, Aljuroushi, Omar, Almadani, Hadeel, Attia, Hajer, Eljali, Amal Sharif, Emran, Ayyah, Omar, Mabruka, Salim, Radhwan, Samer, Ashraf, Abulshuwashi, Nayrouz Abdullah, Ben Khalifa, Emadeddin T M, Benabdalla, Hdaya Abdalla S, Elnageh, Hatem, Hammad, Ali, Abdullah, Duha Milad, Abusalem, Marwa, Esmael, Esraa Ben, Benmasoud, Fatma, Debri, Laila, Elmokhtar, Randa, Sheta, Manal Ezeddin Kamel, Elhabashi, Bushra Sayeh Mohamed, Younis, Balkees, Elmabrouk, Amna, Momen, Ahmed, Alzoubi, Abdalrahem Essied Alzubi, Ayad, Kusay, Hasan, Ameerah Mahdi Abraheem, Musrati, Fawzie, Abusannoga, Malek, Malek, Ans, Ajaj, Hatem, Abdulwahed, Eman, Aboubeirah, Mohammed, Alqurpaa, Aya, Alshareea, Entisar, Aribi, Sarra, Aribi, Tomather, Biala, Marwa, Ghamgh, Reem, Issa, Mohannned, Lamari, Amani Hamid, Mufth, Mohammed, Abboud, Omar Sudig, Hallalah, Muad Fathi Khalleefah Abu, Abumahara, Saleh, Aburima, Sarah, Adrees, Mohammed, Ahtash, Abdurahman, Al Shukri, Asmaa, Alameen, Hind, Alarabi, Rehab, Alarabi, Alarabi, Alelwany, Aisha, Alesmail, Abdulkarim, Algadi, Noran, Almaqrahi, Khuloud, Alosta, Hadel, Alsharedi, Mohamed, Bashir, Rasha, Ghrema, Mahmoud Ben, Nour, Sari Bin, Elbarouni, Sofian, Elhadi, Ahmed, Elkhadar, Abdulmohimen A, Elkouba, Esraa, Elmsherghi, Nabiha, Gammoudi, Abdulmohimen, Ghariba, Abdulraouf, Gjam, Fatima Zayed, Haidar, Arwa, Helal, Hala, Huwaysh, Mohammed, Alhadheeri, Ahmed Khalid, Kriem, Eslam, Osman, Halim, Ossman, Mohamed Ali, Shilfeet, Marwah, Turshani, Laila, Albishty, Nouran, Alhadi, Abdulmueti, Ali, Salem, Altoumi, Manal Ahmed, Bahroun, Sumayyah Ghayth, Younes, Eman, Atarabulsi, Hana, Elshaibi, Mohamed, Othman, Abdullmujeeb, Hasan, Hayat Ben, Hasan, Najat Shaban Ben, Hasan, Rabab Shaban Ben, Barauskas, Vidmantas, Dainius, Edvinas, Dambrauskas, Zilvinas, Dauksa, Albertas, Dekeryte, Inga, Gudaityte, Rita, Jasaitis, Kristijonas, Koženiauskaitė, Akvilė, Krasauskas, Virgilijus, Lukosiute‐urboniene, Ausra, Maleckas, Almantas, Riauka, Romualdas, Šlenfuktas, Vygintas, Svagzdys, Saulius, Urbonas, Kestutis, Vanagas, Tomas, Venclauskas, Linas, Venskutonis, Donatas, Zilinskas, Justas, Ambrazevicius, Marijus, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Eismontas, Vitalijus, Jurgaitis, Jonas, Mikutaitis, Vytenis, 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Mamisoa, Solo, Corinne Eulalie, Ralaizafindraibe, Tojomamy Herinjaka, Andofenohasina, Fanonjomahasoa Safiry, Rasataharifetra, Hanta, Razafindraibe, Vanona Barijaona, Herinirina, Angelin Sablon, Das, Andre, Ganapathy, Thanga, Gunarasa, Yohesuwary, Mariapan, Kalyani, Muniandy, Maathichsudhaar, Osman, Mohd Firdauss, Azmi, Mohd Azem Fathi Mohammad, Soh, Jien Yen, Zain, Wan Zainira Wan, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Chan, Kheng Hooi, Hayati, Firdaus, Johan, Syamim, Mah, Jin Jiun, Sriram, Ratha Krishnan, Subramaniam, Sentilnathan, Shahimi, Nur Shahirah Binti Muhammad, Hamdan, Khairul Hazim, Ibrahim, Mohd Razali, Muthkumaran, Guhan, Tan, Ju Ann, Thanapal, Mohana Raj, Aziz, Dayang Anita Abdul, Bastion, Mae‐lynn, Harun, Mohd Hairul Nizam, Imran, Farrah‐hani, Din, Norshamsiah Md, Zain, Ayesha Mohd, Mustapha, Mushawiahti, Nabil, Syed, Naffi, Ainal Adlin, Nazimi, Abd Jabar, Ramli, Roszalina, Soon, Bee Hong, Bal, Pavin, Cheng, Joo Qing, Draman, Mohd Rusdi, Fadzli, Ahmad Nazran, Ghauth, Sakina, Hung, Weipin, Jamaris, Suniza, Koh, Peng Soon, Krishnasamy, Sivakumar, Lee, Yeong Sing, Liew, Yew Toong, Lim, Jeffery Zk, Lim, Raymond Chung Siang, Lim, Hiong Chin, Pauzi, Siti Farhan Moh, Nah, Shireen Anne, Nair, Ashvin Krishna, Doris Sin Wen, Ng, Yong, Yuki Julius Ng We, Ramayah, Kamarajan, Saaid, Rahmah, Sanmugam, Anand, See, Mee Hoong, Seevalingam, Kanesh Kumaran, Sethi, Neha, Singaravel, Srihari, Zaidi, Syeda Nureena Syed Jafer Hussain, Tang, Chu Yik, Teoh, Li Ying, Wong, Kian Boon, Xavier, Ruben, Yahaya, Ahmad Shuib, Norhafiza, Ab, Rahman, Null, Islah Munjih, Ab, Rashid, Null, Aziz, Mohd Fahmi Abd, Rahman, Mohd Norhisham Azmi Abdul, Amjad, Nasser Muhammad, Alhadi, Shahidah Che, Elagili, Faisal, Kamarulzaman, Mohd Nazli, Nor, Azmi Md, Othman, Ahmad Faidzal, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ibrahim, Aini Fahriza, Ahmad, Abdul Rauf Bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Wong, Hui Yu, Zakaria, Jasiah, Aziz, Nor Azimah Abd, Rahim, Norazila Abdul, Rahman, Noorneza Abdul, Abdullah, Bahiyah, Sikkandar, Mohamed Faizal Bin, Firman, Fatin, Hazleigh, Nik Mohd, Kamarudin, Intan Kartika, Khalid, Shahril, Miswan, Mohd Fairudz Mohd, Zahid, Akmal Zulayla Mohd, Mustafa, Norasyikin, Obaid, Kadhim, Yahaya, Mohd Yusoff Bin Yahaya, Yusoff, Ahmad Ramzi, Andrejevic, Predrag, Myatt, Jeremy Borg, Brincat, Svetlana, Caruana, Clifford, Chircop, Kurt Lee, Chircop, Francesca, Chircop, Daniel Mario, Cini, Charles, Czok, Viktoria, Farrugia, Melanie, Grima, Gabriella, Almukhariq, Fatimah MJ Hassan, Muscat, Esther, Pisani, Darryl, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Shoukry, Mohamed, Spiteri, Neville, Tanti, Gilbert, Hasan, Ziad Aboharp, Soto, Alberto Bazan, Rubén, Cedillo Rodrìguez Jonathan, Zamudio, Gustavo Esteban Lugo, Gómez, David Gerardo Miranda, Meave, José Alfredo Pérez, Victor Pinto Angulo, Null, Aguilar, Antonio Rojas, Duran, Erik Efrain Sosa, Perez, Alejandro Vàzquez, Arroyo, Diego, Corona‐cruz, Jose, Martinez‐said, Hector, Medina‐franco, Heriberto, Mendez, Manuel, Suárez Ma, Teresa Moreno Y, Díaz, Dolores Orta, León Vázquez, Martha Patricia Pérez, Carvajal, Angélica Azucena Soto, Hernández, Fidel Soto, Stenner, Juan Ignacio, López, Adriana Valenzuela, Hernandez, Mauricio Rene, Romero, Rey Jesus, Hernandez, Aldo Bernal, Cortes‐flores, Ana Olivia, Valle, Carlos Jose Zuloaga Fernandez, Tinajero, Carlos Andres Colunga, Orozco‐perez, Jaime, Balboa, Laura Gabriela Peña, Yanowsky‐reyes, Guillermo, Torres, Víctor Hugo Alcalá, Camacho, Francisco José Barbosa, Perez, Irma Valeria Brancaccio, Calderon‐llamas, Miguel Angel, Gomez, Aldo Camacho, Cortes‐torres, Edgar‐joaquin, Cueva‐martinez, Esteban, Anguiano, Oscar Durán, Estrada, Isaac Esparza, Fierro‐rizo, Roberto, Becerril, Paola Flores, Orozco, Clotilde Fuentes, Castillo, Miguel García, Ojeda, Alejandro Gonzalez, Rubio, Ana Sofia Gonzalez, Rojas, Erick Alonso González‐García, Govea‐camacho, Luis Humberto, Barba, Jose Aldo Guzman, Peña, Juan Carlos Ibarrola, Martínez, César íñiguez, Llamas‐macias, Francisco Javier, Galaviz, Ruben Eduardo Morán, Nuño‐escobar, Cesar, Olvera‐flores, Oscar‐everardo, Osuna‐rubio, Jaqueline, Pérez‐navarro, Jose Victor, Prieto‐aldape, Rodrigo, Gonzalez, Luis Ricardo Ramirez, Sánchez, Marco Vinicio Ramírez, Reyes, Emilio, Romero‐limón, Olaya Moramay, Ruiz‐velasco, Carlos Beas, Martínez, José Antonio Sánchez, Sanchez‐villaseñor, Guillermo, Sedano‐portillo, Ismael, Gonzalez, Gabriela Ambriz, Moreno, Pedro Berrones Moreno Berrones, Alvarado, Ana Beatriz Calderon, Jesús Cárdenas Barón, José, Hernández, Araceli, Frutos, Francisco Javier León, Hernandez, Edgard Efren Lozada, Valencia, Eduardo Morales, Pérez, Karla Daniela, Bolanos‐morales, Francina, Herrera‐zamora, Julio, Santillan‐doherty, Patricio, Zavala, David Omar Arriaga, Campos, Salvador Francisco Campos, Carmona, Lizette, Nava, Antonio Galindo, Santos, Blanca, Cisneros, Juan Roberto Torres, Bozada‐gutiérrez, Katya, Herrera, Jose Jesus, Portillo, Mucio Moreno, López, Francisco Pérez, Trejo‐avila, Mario, Salazar, Carlos Valenzuela, Alvarez, Maria Regina, Cordera, Fernando, Rosa Abaroa, Marco Antonio, Gómez‐pedraza, Antonio, Hernandez, Roberto, Maffuz‐aziz, Antonio, Posada, José Antonio, Vidal, Carlos Robles, Beristain‐hernandez, Jose‐luis, Sada, Blas Eduardo Quintero, Heredia, Nicolás Uxmal Soruco, Anaya, Ernesto, Arceo‐olaiz, Ricardo, Sougarret, Bernardo Gutiérrez, Flores, Sonia Lopez, Ochoa Carrillo, Francisco J., Uribe, Raymundo Alfredo Pérez, Silva, Ludwigvan Adriano Bustamante, Lupián‐angulo, Arianne I, Martínez, Christian Enrique Soulé, García, Francisco César Becerra, Casillas, Ernesto Javier Guerrero, Uribe, Edgar, Arias, Nereida Esparza, Hernández‐nava, J. Mindy, Isla‐ortiz, David, Melchor‐ruan, Javier, Bañuelos, Esmeralda Romero, Salcedo‐hernández, Rosa, Vilar‐compte, Diana, Peniche, Paola Zinser, Aguilar Frasco, Jorge L., Alfaro‐goldaracena, Alejandro, Buerba, Gabriela Alejandra, Castro, Emma, Chan, Carlos, Cortes, Ruben, Dominguez‐rosado, Ismael, Lechuga, Daniel Garay, Herrera, Miguel, Hinojosa, Carlos, Lopez‐pena, Gabriel, Martos, Edgar, Mercado, Miguel ángel, Velázquez, Paulina Moctezuma, Moguel, Roberto, Oropeza, Mariano, Portugal, Emmanuel Peña Gómez, Posadas‐trujillo, Oscar Emmanuel, Salgado‐nesme, Noel, Jasso, Oscar Santes, Sarre, Catherine, Skewes, Karla Yareli Hernandez, Jimenez, Cristian, Licona‐meníndez, Roque Delfino, Montiel, Guillermo, Navarrete‐peón, Alberto, Ortega, Shannat, Lechuga, Fernanda Romero, Roque, Oscar, Sevilla, Fernando, González‐lópez, Rogelio, Núñez‐gonzález, Roberto ángel, Ortega‐jiménez, José Antonio, Alvarado, Antonio, Orendain, Alfonso Alvarez Manilla, Pesquera, José Alberto Atristain, Frutos, Diego, Garcia, Felipe, León, Juan Antonio González, Guzman, Marlin, Herappe, Dorihela, Miranda, Jesús Giovanni Inzunza, Botello, Miguel Angel Jimenez, Lerma, Ricardo, Pedraza, Fabián Hilario Mendoza, Castillo, Monica Noguez, Resendiz, Jose Anatolio, García, Oscar Alejandro Sánchez, Rios, Laura Elena Fernandez, Frigerio, Pamela, Garcia, Iset, Frías, Gloria Isela Mendoza, Moreno, Emmanuel, Quiroga, Raquel, Mendoza, Alejandra Anzures, Hinojosa, Arantza Govela, Izaguirre, Aldo, Miguelena, Luis Hdez, Vazquez, Jose Manuel Luna, Rodriguez, Indalecio Barcelata, Mange, Raul Ramos, Utrera, Carlos Reyes, Saenz, David Zarate, Gonzalez, Miguel Angel Zavala, González, Francisco Andrade, Cortes, Ludivina, Roman, David, Sanchez, Aaron, Gurghiș, Radu, Rojnoveanu, Gheorghe, Vozian, Marin, Caraja, Petru, Croitor, Gheorghe, Mosneaga, Roman, Erdene, Sarnai, Ganbold, Lundeg, Orgoi, Sergelen, Orsoo, Soyombo, Sainbayar, Altanchimeg, Sandag, Erdene, Sanjaa, Burmaa, Benhamou, Rita Ait, El Azhari, Abdessamad, Ghita, Bennis, Lhassani, Sara, Louraoui, Sidi Mamoun, Rghioui, Mounir, Saaf, Sarra, Gadouali, Taha, Gouazar, Iltimass, Korch, Moniba, Letrache, Ahmed, Louari, Amina, Zamame, Anas, Ousouss, Samia, Zekhnini, Meryem, Abderrazaq, Hafni, Abichou, Wijden, Ahlaou, Hamza, Baicha, Amal, Baroudi, Salma, Chaoui, Ghita, El Azzazi, Hind, El Masaoudi, Saja, Hassoun, Chiraz, Moujtahid, Hajar, Riyahi, Anas, Zaim, Ouijdane, Aji, Narjiss, Ammouze, Imane, Arkha, Yasser, Bechri, Hajar, Belabbes, Meryem Benchekroun, Benslimane, Zaineb, Boualila, Lina, Bouanani, Othmane, El Ouahabi, Abdessamad, Hossyni, Leila Essakalli, Malik, Boulaadas, Oudrhiri, Mohammed Yassaad, Sefrioui, Taha Ismail, Tagmouti, Adam, Bensghir, Mustapha, Elkoundi, Abdelghafour, Belarabi, Othman, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, El Bouazizi, Yassine, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Mohsine, Raouf, Souadka, Amine, Kone, Badra Aliou, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Jeketera, Clara, Yeboah, Kwasi, Abebrese, John Tabiri, Mureko, Alfred, Quayson, Francis William, Shikongo, Justina, Bhusal, Subarna, Dwa, Yam, Joshi, Ashoo, Berkeveld, Eva, Bloemers, Frank, Borgstein, Alexander, Gisbertz, Suzanne, Mikdad, Sarah, Berge Henegouwen, Mark, Bakx, Roel, Besselink, Marc, Lemmers, Daniel HL, Roelofs, Anne‐jasmin, Amstel, Paul, Helsdingen, Claire, Smeele, Ludi, Harlaar, Niels, Jonker, Frederik, Burg, Sjirk, Oostendorp, Justin Y., Ombashi, Saranda, Voort, Tim, Geldorp, Martijn, Posma‐bouman, Lisanne, Boer, Hans Donald, Olieman, Annette, Smid‐nanninga, Henriette, De Vries, Jean‐Paul P. M., Hogenbirk, Rianne, Derksen, Tyche, Franken, Josephine, Oosterling, Steven, Nolte, Peter, List, Jelle, Alwayn, Ian, Bijlstra, Okker, Braat, Andries, Bulder, Ruth, Kok, Michèle, Faber, Robin, Goudsmit, Ben, Hamming, Jaap, Mieog, Sven, Vahrmeijer, Alexander, Leemkolk, Fenna E. M., Vorst, Joost, Schaik, Jan, Verhagen, Merel, Albers, Kim, Gawria, Larsa, Van Goor, Harry, Warle, Michiel, Ginhoven, Tessa M., Viëtor, Charlotte, Boerma, Evert‐jan, Lallitsch, Lara, Schweitzer, Donald, Leclercq, Wouter, Sijmons, Julie, Vancoillie, Peter‐jan, Konsten, Joop, Heinsbergen, Maarten, Dekker, Nicole, Boer, Frank, Dimech, Julian, Djamali, Kaveh, Fowler, Carolyn, Ghamri, Naji, Houston, Helen, Joseph, Reece, Kantroo, Astha, Kwun, Jin, Lie, Samuel, Lightfoot, Nicholas, Maccormick, Andrew, Olliff, Sue, Trilokekar, Natasha, Wood, Daniel, Ekanayaka, Aruna, Furkert, Chris, Nanayakkara, Asanga, Panesar, Divyansh, Waddell, Oliver, Bidois, Lauren, Clifford, Zoe, Frizelle, Frank, Glyn, Tamara, Lim, Eric, Lyons, Oliver, Mclauchlan, Jared, Nicholas, Ella, O’Grady, Michael, Roake, Justin, Singh, Harsh, Ailabouni, Ramez, Rietveld, John, Alqassab, Mohammed, Amer, Mostafa, Chan, Annie, Egbuji, John, Fullarton, Mairi, Haddow, James, Hawkins, Robyn, Vui Teck, Lu, Oliver, Thomas, Saw, Kai Sheng, Sugunesegran, Ramanen, Wilkins, James, Woodfield, Esther, Baker, Joseph, Cama, Jitoko, Field, Xavier, Fulivai, Alamea, Hossain, Ruhella, Kelly, Ben, Jasen, Ly, Mckelvie, James, Meiyappan, Vivek, Cindy Xin Yi, Ou, Singh, Vidit, Hedley, Alex, Temara, Hinerangi, Aitken, Jake, Frunt, Brytt, Boys, Max Hardie, Lakshman, Prashant, Pinfold, Esther, Cowan, Sarah, Henderson, Nigel, Leary, Jessica, Castle, Cameron, Gaston, Matt, Haimona, Maira, Jury, Steffanie, Lahood, Zoe, Lim, Matthew, Macintyre, Dillon, Mak, Josephine, Neal, Annelise, Shelker, William, Weeratunga, George, Ferguson, Liam, Harmston, Christopher, Heaven, Chelsea L, Watt, Imogen, Cahill, Henry Witcomb, Abdurrazzaaq, Abdussemee, Abdussalam, Hameedat Opeyemi, Adebanjo, Ademola, Ahmed, Aminat Olayinka, Borokinni, Opeyemi Busayo, Fasiku, Olushola Kayode, Gwaram, Usman, Okoye, Onyedika, Olaomi, Oluwole, Adeyeye, Ademola, Enoch, Elizabeth, Fayose, Samuel, Kayode‐nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Kwankiyel, Auwal Babayo, Umar, Shahir Bello, Hassan, Sulaiman, Ja’Afar, Abubakar Bappah, Ja’Afaru, Umma Hani, Kadas, Saidu, Liman, Haruna, Makama, Baje, Mohammad, Aminu Mohammad, Kirfi, Abdullahi Musa, Oyediji, Funmilayo, Mohammed, Husseini Yakubu, Akpoghor, Oghenevwegba, Arekhandia, Alexander, Dawodu, Oseyi, Edetanlen, Ekaniyere, Efobi, Chizoba, Egbor, Esezobor, Enaruna, Nosakhare, Ezeanochie, Michael, Ezenwa, Ekene, Ijekeye, Ferdinand, Imumoren, Joe, Iribhogbe, Oseihie, Irowa, Omorodion, Momoh, Moses, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Obuekwe, Ozoemene, Odai, Emeka Danielson, Odigie, Vincent, Odutola, Oluwatomi, Okhakhu, Amina, Okugbo, Stanley, Oni, Samson, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Ugwi, Veronica, Uwagboe, Charles, Yusuf, Sofiat, Abiodun, Adekunle, Akinloa, Olufemi, Shodipo, Moses, Abdullahi, Alhassan, Lawal, Ishak, Echieh, Chidiebere Peter, Nwagboso, Chimaobi, Udoh, Ubong, Akanni, Bolaji, Anyimba, Solomon, Chukwu, Isaac, Ezomike, Uchechukwu, Gold, Ikponmwosa, Nnabugwu, Ikenna, Nwafor, Ikechukwu, Okolie, Louis, Okoro, Kelechukwu, Okwara, Blasius, Onyemaechi, Ndubuisi, Abdulsalam, Khalifa, Arogundade, Abayomi, Kura, Mohammed, Nwosu, David, Abdullahi, Habiba, Agida, Eyaofun, Aisuodionoe‐shadrach, Oseremen, Ajibola, Hafees, Akaba, Godwin, Ale, Omolabake, Atim, Terkaa, Emeka, Malachy Ayogu, Benard, Adeka, Buba, Amina, Chinda, John, Edino, Stephen, Eniola, Sefiu, Garba, Stephen, Isah, Aliyu, Isah, Dennis Anthony, Joshua, Zaman, Mbajiekwe, Ndubuisi, Mshelbwala, Philip, Muhammad, Rafat, Offiong, Richard, Olute, Anne, Osagie, Olabisi, Ogolekwu, Idoko Pius, Sulaiman, Bilal, Suleiman, Salisu, Umar, Aminu, Abayomi, Olukayode, Abdus‐salam, Rukiyat, Adebayo, Sikiru A., Adeleye, Amos, Ademola, Samuel, Afuwape, Oludolapo, Ajao, Akinlabi, Akinsola, Sanusi, Aladelusi, Timothy, Ayandipo, Omobolaji, Baiyewu, Lateef Ayodele, Balogun, Mosimabale, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Elemile, Peter, Ezeme, Constantine, Fasunla, Ayotunde James, Gbolahan, Olalere, Iwuagwu, Ifeanyi, Michael, Afieharo, Morhason‐bello, Jemiludeen, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Ogundoyin, Olakayode, Ogunkeyede, Segun Ayodeji, Ogunrewo, Tolulope, Okere, Oghenekevwe, Oladejo, Titilola, Oladiran, Ajibola, Olagunju, Naomi, Olaoye, Ifedolapo, Olawoye, Olayinka, Olulana, Dare, Olusanya, Adeola, Omigbodun, Akinyinka, Onakoya, Paul, Orji, Mathias, Oyelakin, Oyeleye, Oyewole, Olugboyega, Sule, Samuel, Takure, Augustine O, Ugwu, Ebere, Afolabi, Bosede, Ajayi, Peter, Akinajo, Opeyemi, Alakaloko, Felix, Atoyebi, Oluwole, Belie, Orimisan, Bode, Chris, George, Ihediwa Chibuike, Elebute, Olumide, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo‐ajayi, Oluwaseun, Makanjuola, Ayomide, Makwe, Christian, Mofikoya, Bolaji, Ohazurike, Ephraim, Ojewola, Rufus Wale, Okunade, Kehinde, Okunowo, Adeyemi, Olajide, Thomas Olagboyega, Oni, Oluwafemi, Tijani, Kehinde, Ugburo, Andrew, Ugwu, Aloy Okechukwu, Abiola, Paul, Abiyere, Henry, Adebara, Idowu, Adeniyi, Adebayo, Adeyemo, Olabisi, Ariyibi, Abimbola, Babalola, Olakunle, Bakare, Adewumi, Banjo, Oluseyi, Egharevba, Peter, Obateru, John, Ojo, Owolabi, Olajide, Adewale, Oluwafemi, Fatudimu, Oyeleye, Oluwole, Salawu, Adedayo, Babatunde, Bakare Tajudeen Ishola, Abdulsalam, Moruf, Adelaja, Aderinsola, Adeniran, Abimbola, Ajai, Olalekan, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Faboya, Omolara, Idowu, Olufemi, Idowu, Jeuel, Mustapha, Muntaqa, Omisanjo, Olufunmilade, Osuoji, Roland, Vitowanu, Julius, Abe, Anthonia, Aderounmu, Adewale, Adesunkanmi, Abdulhafiz, Ajekwu, Temitope, Ajekwu, Samuel, Ajiboye, Olalekan, Aderogba, Adeleke Akeem, Alatise, Olusegun Isaac, Babatunde, Mustapha, Balogun, Simon, Ijarotimi, Adebimpe, Lawal, Adedayo, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Ubom, Akaninyene Eseme, Agbaje, Ademola, Mohammed, Tajudeen, Adeniran, Abiodun, Adesola, Muideen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ayinmode, Iyehunwa, Bello, Jibril, Ezeoke, Grace, Gwadabe, Sadiya, Ibraheem, Gbadebo, Ibrahim, Saidu, Ijaiya, Munir’Deen, Nasir, Abdulrasheed, Odeyemi, Peter Olalekan, Ogunade, Olukayode, Olabinjo, Afusat, Olatoke, Samuel Adegboyega, Olowogbayi, Tope, Onjefu, Stephen, Popoola, Ademola, Raji, Hadijat Olaide, Salawu, Nasiru, Salawu, Hafeez, Sayomi, Tolulope Olayinka, Segun‐busari, Segun, Uche‐okonkwo, Kenechukwu, Abiola, Olajide, Anipole, Olalekan, Ogunlaja, Olumuyiwa, Adesina, Oluwaseyi, Alayande, Barnabas, Ebenezer, John, Enwerem, Kenneth, Isichei, Christian, Isichei, Mercy, Luku, Pwaluke, Omiragi, Paul, Onyeji, John, Adze, Joel, Aghadi, Ifeanyi, Auta, Akawu, Duniya, Sharon, Gyuro, Joseph, Lawal, Jamila, Makama, Jerry Godfrey, Mohammed, Garba, Mohammed‐durosinlorun, Amina, Salisu, Kabiru, Taingson, Matthew, Yusuf, Nuhu, Amos, Happy, Daniel, James, Takai, Idris Usman, Abdullahi, Lawal, Abdullahi, Sani, Abdulrahman, Mamuda, Abubakar, Mohammed Kabir, Adikaibe, Valentine, Ahmad, Misbahu, Ahmad, Jameel Ismail, Aji, Sani Ali, Aliyu, Mohammed Salele, Danagundi, Maryam Babba, Bako, Yusuf Halidu, Bello‐muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Ismail, Hassan, Sadiq, Usman, Mustapha Ibrahim, Ismail, Nasiru, Jibril, Yasir Nuhu, Kurawa, Musbahu, Magashi, Mahmoud Kawu, Martins, Bardi, Bello, Usman Mohammed, Muhammad, Saminu, Muhammad, Abubakar Bala, Muhammad, Shamsuddeen, Daneji, Sulaiman Muhammad, Mukhtar, Ibrahim Aliyu, Adamu, Kabir Musa, Nwachukwu, Callistus, Omeje, Uchenna Kelvin, Orji, Ifeanyi James, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Yunusa, Sani Abdullahi, Maryam, A, Abubakar, Kabiru Bello, Habib, Saudat Garba, Mahmood, Farrukh, Alabi, Ibrahim Abolaji, Arojuraye, Soliudeen, Salihu, Mohammed, Alade, Samuel, Kumolalo, Felix, Mogbo, Chiedozie, Adebayo, Olaolu, Ige, Oluwasuyi, Jones, Gbenga, Odunafolabi, Tunde, Olubayo, Oluniyi Oyetunde, Akani, Chris, Alasia, Datonye, Alegbeleye, Justina Omoikhefe, Aria, Oti Nimi, Awopeju, Abimbola, Edonkumoh, Kemebradikumo, Ekeke, Onyeanunam, Fyneface‐ogan, Sotonye, John, Celestine, Kasso, Terhemen, Korubo, Inye, Mato, Christie, Ogu, Rosemary, Okpani, Charles, Okpani, Anthony, Onwuagha, Ijeoma, Oppah, Ijeoma, Oputa, Victory, Oranu, Emmanuel, Orazulike, Ngozi, Otokwala, Job, Ugboma, Henry A. A, Ajayi, Adekunle, Ogundele, Ibukunolu, Salami, Babatunde, Ajagha, Okeoghene, Ali, Yakubu, Awaisu, Mudi, Daniyan, Muhammad, Fidelis, Lovely, Nwabuoku, Stanley Emeka, Ogunsua, Oluseyi, Oyelowo, Nasir, Sholadoye, Tunde T., Yakubu, Alfa, Rendevski, Vladimir, Shuntov, Blagoj, Shuntov, Natalija Cokleska, Georgieva, Gordana, Jovanoski, Tomislav, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Srbov, Blagoja, Trajkova, Andrijana, Trenchev, Viktor, Dohcev, Sasho, Janchulev, Josif, Saidi, Skender, Stankov, Oliver, Trifunovski, Aleksandar, Draz, Najib Abu, Al Ajmi, Khalil, Al Ajmi, Ghadeer, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Nawf, Al Bassam, Wameedh, Al Farsi, Maather, Al Ghafri, Wadha, Al Ghafry, Alaa, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Kalbani, Maha, Al Kharusi, Lamya, Al Kharusi, Safiya, Al Mutani, Mohammed, Al Qadhi, Hani, Al Raisi, Amani, Al Riyami, Nihal, Al Sabti, Hilal, Al Shaibi, Maha, Al‐abri, Rashid, Al‐mujaini, Abdullah, Al‐rashdi, Aya, Alajmi, Suha, Albadi, Zamzam, Albusaidi, Hanadi, Alhadeethi, Ahmed, Aljabri, Noor, Alkazrooni, Muhannad, Alkharousi, Nadiya, Alkharusi, Al‐salt, Alkiyumi, Khadija, Almaharbi, Noof, Alsaadi, Sabaa, Alsharji, Marwa, Alsharqi, ALi Hamed, Alshehhi, Fatma, Alsulaimani, Thuwaiba, Alward, Mustafa, Alwashahi, Mohammed, Alyafii, Hussain, Alzadjali, Adil, Basi, Tayseer, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Kariyattil, Rajeev, Kenawy, Ahmed Omer, Kochummen, Koshy, Kolethekkat, Arif, Pillai, Mahesh Krishna, Sureshkannan, Ks, Laghari, Farman Ali, Manjunatha, Attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Nair, Asha, Naiya, Hafsa Ismail Ibrahim, Nazar, Zuhail, Pillai, Silja, Rahim, Ferdous, Rahman, Khalid, Sheik, Shahila, Siddiqi, Mohammad Salman, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Khan, Muhammad Ahsan, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Syed, Danish, Rehman, Ishtiaq Ur, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha Yurf, Bangash, Ali Haider, Latif, Sehrish, Naqvi, Wajih, Abdullah, Muhammad Tariq, Abdullah, Saleha, Ahmed, Arooj, Ahsan, Muhammad Fahim Ahsan, Akhtar, Fahad, Ali, Sana, Ansar, Mehwish, Aqib, Muhammad, Arslan, Muhammad, Ashraf, Sumaira, Ayubi, Azaz, Azam, Tayyab, Bhatti, Hamza, Huda, Shahab, Irshad, Abeer, Ishaque, Nazia, Khaliq, Tanwir, Khan, Farheen, Khan, Mumtaz Ahmad Khan, Mahmood, Namrah, Malik, Ali Raza, Malik, Tahir, Malik, Komail, Mehmood, Manzer, Mustafa, Fatima, Noor, Fazal, Nubair, Sarwar, Rashid, Isbah, Saeed, Waqar, Sajid, Hannan, Shah, Sajid, Shami, Ali, Siraj, Minhaj Us Siraj, Tareen, Mariam, Haq, M Burhan Ul, Abbas, Manzar, Zaidi, Syeda Maria Ahmad, Ahmed, Iffat, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhtar, Munazza, Akhund, Ramsha, Manji, Adil Al‐Karim, Arshad, Hajra, Awan, Muhammad Ozair, Aziz, Humaira, Bhutto, Shameen, Aamir, Faiqa Binte, Biyabani, Syed Raziuddin, Chishti, Uzma, Chundrigar, Mohsin, Ghaloo, Shayan Khalid, Haroon, Waqqas, Hashmi, Shiraz, Hassan, Murtuza, Inam, Hina, Kassam, Nausheen, Kazmi, Abbas, Khan, Majid, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Martins, Russell Seth, Mubarik, Areeba, Munir, Muhammad Musaab, Musharraf, Muhammad Bazil, Naz, Falak, Noordin, Shahryar, Pervaiz, Arsalan, Qamar, Javeria Bilal, Rahman, M Fazlur, Rani, Pallavi, Rasheed, Yasir, Sadia, Haleema, Saeed, Marwah, Safri, Mohammad, Salim, Shaharyar, Sattar, Abida K., Shamim, Shahzad, Sherwani, Maryam, Siddiqui, Muhammad Ahsan Iqbal, Sidhwa, Astad, Tariq, Javeria, Tejani, Isbaah, Waqar, Usama, Zahid, Fahad, Jamal, Abid, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Saeed, Summaya, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Arshad, Muhammad, Hussain, Syeda Namayah Fatima, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Nasir, Manal, Sohail, Osama Bin, Mangi, Ali, Markhand, Naveed, Mushtaq, Hassan, Zia, Kashif, Ahmed, Hassaan, Ahmed, Nasir, Qureshi, Talha Ahmed, Shaikh, Shafqat Ali, Anwer, Rabia, Arshad, Owais, Batool, Sehrish, Chatni, Muhammad, Chundrigar, Tariq, Dojki, Samina Saleem, Elahi, Minahil, Farooqui, Bakhtawar, Ghouri, Amna, Hassan, Nabeel, Hussain, Zainab, Hussaini, Null, Iftikhar, Fizza, Iqbal, Faizan, Javed, Anum, Javed, Dania, Kamal, Wajahat, Khan, Shifa, Mughal, Zeeshan Uddin, Murtaza, Ghulam, Nadeem, Areeba, Nasir, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Haroon, Umer Saeed, Saleem, Shah Masabat, Seriwala, Haseeb, Shah, Aaqil, Siddiqui, Safia, Tanveer, Asher Tanweer, Tariq, Nida, Zaman, Junaid, Zamir, Mehroz, Anjum, Muhammad Ayyub, Afzal, Ameer, Ahmed, Ehsan, Ahmed, Jawad, Riaz, Shujat Ahmed, Akbar, Ali, Akbar, Bilal, Ali, Maria, Ali, Imran Ali, Ali, Abrar Ashraf, Ali, Ghazanfar, Altaf, Zahra, Ammar, Ahmed Siddique, Arif, Hafiz Muhammad Arif, Aslam, Imran, Bashir, Muhammad Mustehsan, Farooq, Usman, Farooq, Muhammad, Gondal, Khalid Masood, Iqbal, Muhammad Javed, Iqbal, Zafar, Ismail, Fahad, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Joshi, Prabesh, Khadam, Mamoona, Khan, Romaisa, Khawaja, Muhammad Asadullah, Manzoor, Sobia, Mohsin, Muhammad, Mumtaz, Khizra, Musaab, Muhammad, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Noureen, Sadaf, Rafi, Yaseen, Raza, Ali, Rijal, Sushil, Saleem, Irfan, Shah, Hafiz Syed Zaigham Ali, Sharif, Muhammad, Shaukat, Ayesha, Siddique, Usman, Sikandar, Hafiz Saqib, Sohail, Mohammad, Zahara, Fatima Tu, Usman, Yasmeen, Zaman, Balakh Sher, Zeb, Misbah, Afzal, Muhammad Farooq, Ahmad, Fateen, Ahmed, Waqas, Akram, Shahzad, Alam, Azhar, Ali, Danish, Ali, Ahsan, Alvi, Ammar Tariq, Asif, Suleman Asif, Aslam, Madiha, Daood, Muhammad Daood, Jawad, Muhammad, Kathia, Usama Muhammad, Khalid, Ismaeel, Khan, Anwar, Khurshid, Zain, Noman, Hamza, Raza, Ahsan, Taha, Hassan, Zubair, Muhammad, Maria, Noor Ul Huda, Janjua, DrAtif A, Ahmad, Qamar Ashfaq, Ahmad, Sheraz, Ali, Imran, Amin, Sana, Anjum, Momina, Asjad, Muhammad, Aslam, Aatif, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bakhtiar, Akkasha, Bashir, Alia, Batool, Fizza, Bhatti, Samiullah, Butt, Roshan, Butt, Usman, Changazi, Shabbar Hussain, Cheema, Omer Iqbal, Chishti, Muhammad Haris, Haq, Bushra, Hashmi, Ali, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Iqbal, Javaid, Iqbal, Ayesha, Ishaq, Amna, Javed, Sundas, Javed, Hina, Javed, Aymen, Kashif, Muhammad, Khalid, Muhammad Saud, Khan, Wasim Hayat, Khan, Rohma, Khan, Fatima, Latif, Usman, Mahmood, Arif, Majeed, Faizan, Malik, Kiren, Masood, Rumaisa, Munawwar, Fasiha, Mushtaq, Asma, Nabi, Muhammad Shoaib, Nasir, Ahmad, Naureen, Shazia, Noreen, Zahida, Qadir, Muhammad Ghulam Qadir, Raana, Gul e Raana, Rashid, Madeeha, Rehman, Abdul, Riaz, Sidra, Saboor, Arfa, Sadiq, Muhammad Hamza, Saeed, Komal, Saleem, Humaira, Sarfraz, Kiran, Shafiq, Zahid, Shafqat, Aymen, Shaukat, Hassan, Sher, Fateh, Sohail, Rubina, Suhail, Amina, Muhammad, Bilal Syed, Umair, Usama, Umar, Muhammad, Usama, Muhammad, Usman, Natasha, Waheed, Kalsoom, Farooka, Muhammad Waris, Wasim, Shafqat, Wasim, Tayyiba, Yasin, Fahad, Zafar, Zain, Zaka, Sabahat, Zaman, Salma Zaman, Azad, Junaid, Fatima, Zareen, Anwar, Muhammad Imran, Naseer, Muhammad Ahmed, Shah, Muhammad Taimoor, Ali, Ammar, Aslam, Muhammad, Aziz, Muhammad Usama, Gohar, Farhan, Humayoun, Waseem, Khan, Hassan, Naeem, Shiza, Tahir, Warda, Alvi, Kashif, Mehmood, Maria, Ali, Muhammad, Shahzad, Aniqa, Sher, Muhammad, Murtaza, Null, Siddique, Hijab, Anjum, Waleed, Ahmad, Manzoor, Alam, Muhammad, Faizi, Fouzia, Faridoon, Shehla, Hussain, Musarrat, Iftikhar, Muhammad, Jan, Yousaf, Kalim, Muhammad, Raza, Tilal Ahmed, Shah, Farrukh Ozair, Shah, Muhammad, Tahir, Imran, Khan, Hamza, Naeem, Muhammad, Ahmad, Shabir, Ahmed, Haseeb, Akbar, Hazrat Akbar, Akhtar, Muhammad Shaheer, Ali, Noman, Ali, Mehboob, Ali, Sadaf, Ali, Irfan, Amin, Hasbi Allah, Amin, Shehzadi, Ayub, Bakhtawar, Basir, Muhammad, Faraz, Ahmad, Farsi, Muhammad Salman, Gul, Ambrin, Gul, Hina, Gul, Ayaz, Gul, Sana, Haider, Sajjad L, Ikramullah, Syed Ikramullah, Jan, Kashif, Khalid, Muhammad, Khan, Salman, Khan, Muhammad Faisal, Khan, Faraz Ahmad, Mian, Iftikhar, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Raziq, Naila, Rehman, Riaz, Salim, Azra, Shafqat, Tanveer, Shah, Faaiz Ali, Shah, Suliman, Shakeel, Muhammad, Ullah, Tahsin, Rehman, Shams Ur, Wali, Sabaeena, Zahoor, Farnaz, Zeb, Gulmeena, Zeb, Laila, Haseeb, Null, Raza, Waqas, Amir, Zein, Arshad, Daneyal, Daud, Mashal, Chughtai, Umer Javed, Rauf, Mirza Hammad, Sajid, Zaina, Abid, Rubaba, Azam, Ayesha, Farkhanda, Tallat, Firdos, Kanwal, Khalid, Tabinda, Malik, Sobia, Mashal, Javeria, Salim, Ruqyyah, Saqib, Madiha, Shaheen, Aneela, Shahid, Madiha, Yasmeen, Irfana, Ahmed, Faryal, Ali, Aneeqa, Amjid, Zarafshan, Anwar, Muhammad Idrees, Arif, Iqtaza, Ashraf, Anam, Butt, Adam Umair Ashraf, Azhar, Faryal, Daniyal, Muhammad Daniyal, Ghazanfor, Ramlah Ghazanfor, Ishtiaq, Daniyal, Jamil, Manahil, Khalid, Ziaullah, Khan, Jahangir Sarwar Khan, Khan, Muhammad Sarfraz, Mahmood, Usama, Mahmood, Ashraf, Malik, Abdur Rehman, Nagra, Ramisha Naseer, Niazi, Fuad Ahmad Khan, Saleem, Maleeha, Saleem, Bushra, Saleem, Tayyaba, Shabbir, Raja Khalid, Shakir, Imtiaz Ahmed, Ahmad, Ashfaq, Awan, Surgeon Hafiz Riaz Hussain, Bhatti, Waqar, Shaheen, Azka, Awad, Hadeel, Mohamad, Balqees, Wafi, Dalia, Jayyab, Mustafa Abu, Toman, Hitham, Abu‐arish, Hamdoon, Al‐slaibi, Ibrahim, Alzeerelhouseini, Hussam I. A., Jobran, Fahmi, Lahlooh, Raghad, Aburayyan, Fatima, Abuzaina, Khalil, Aljuba, Ayat A., Aljunaidi, Roaa, Alzughayyar, Tareq, Amro, Adham, Amro, Sarah, Dweik, Mays, Halman, Safa, Qafisha, Qutaiba, Shaheen, Farah, Shawer, Balqis, Shehadeh, Daleen, Zalloum, Jihad, Demyati, Khaled, Hajhamad, Mohammed, Saqfalhait, Zain, Del Cid, Emmy Arrue, Rodriguez‐zentner, Homero, Abed, Francisco, Garayo, Rafael Osmar Adorno, Aguilar, Ruben, Aguilar, Ana, Maidana, Domingo Javier Aguilera, Casañas, Diego José Almada, Almiron, Teresa, Arrua, Analia, Avila, Pedro, Balmaceda, Brenda, Barreto, Alexandra, Galeano, Analy Barreto, Nuñez, Belinda Barrientos, Benegas, Magdalena, Berden, Martin, Bogarin, Amalia, Bonnin, Jorge, Barrios, Edulfo Britez, Burgos, Julio, Melgarejo, Carlos Fabián Cárdenas, Samudio, José De Jesus Casco, Cataldi, Sandra, Centurion, Jorge Augusto, Ramirex, Luz Maria Cespedes, Colina, Katerine, Almando, Gabriel Augusto Cuevas, De Bleecker, Karina, Dragotto, Antonella, Eiwa, Eiji, Enciso, Juan Carlos, Espinola, Carla, Estigarribia, Lujan, Fernandez, Celso Ariel, Ferreira, Rocio, Figueredo, Blas, Fleitas, Daniel, Fretes, Claudia, Fretes, Martin, Gonzalez, Walter Rene Fretes, Ruiz, Humberto Nicolas Galleano, Gauto, Julio, Gauto, Claudia, Gomez, Viviana, Gómez, Nadia, Insfran, Osvaldo, Karina, Liz, Legal, Christian, Llanes, Oscar, Martínez, Walter, Torres, Walter Rodrigo Martínez, Matsumura, Kiichiro, Galván, Esteban Daniel Mendoza, Noguera, Leila Mereles, Mora, Sergio, Navarro, Daniel, Roman, Lidia Noguera, Núñez, Analia, Ocampos, Lorena, Rojas, Alma Maria Ojeda, Villasboa, Derlis Joel Ojeda, Palacios, Juan, Sosa, Jessica Pamela Portillo, Ramírez, Rossana, Ramos, German, Samudio, Diego, Acosta, Jorge Eduardo Sisa, Tellez, Rodney, Urquhart, Porfiria, Vera, Beatriz, Florentin, Jorge David Vera, Vidallet, Daniel, Villalba, Gilce Teresita, Vömel, Jacob, Aquino, Laura, Martinez, Marisa Natalia, Patiño, Cesareo Saldivar, Aguayo, Omar, Aguilera, Maria Esther Ferreira, García, Federico, Giangreco, Maria, Osorio, Derlis, Sosa, Cynthia Marlene Rodríguez, Villanueva, Paulo, Rolon, Sandra Elizabeth Centurion, Ohara, Rozana, Portillo, Juan Marcelo, Cano, Ruben Milciades Varela, Melgarejo, Juan Manuel Baez, Candia, Francisco Vidal, Chirico, Carlos, Pineda, Sofia Belen Diaz, Vera, Diego Alfonso Paiva, Valdovinos, Ayrton Facundo, Velazquez, Dahiana Fatima, Arriola, Diego Raul Abente, Britos, Analia, Cantero, Daniel, Centurión, Jessica, Bareiro, Ricardo Ignacio Olmedo, Duarte, Dayhana, Paredes, Susana, Rojas, Carlos Pfingst, Delgado, Angel Luis Agüero, Godoy, Juan Marcelo Delgado, Lohse, Helmut Alfredo Segovia, Benitez, Oscar, Luraschi, Victor, Molinas, Joel, Añasco, Dulce, Barreto, Alejandro Arévalo, Rivaldi, Cristhian Chavez, Chenu, Martin, Garcia, Luz, Godoy, Rosana, Gustavo Miguel Machain, V, Velázquez, Maria Jose Martinez, Alvarenga, Brayan David Pedroso, Gonzalez, Agustin Rodriguez, Sánchez, Rosa, Sánchez, María Liz, Lohse, Herald Rene Segovia, Segovia, Cesar 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Miotla, Pawel, Rechberger, Ewa, Koczy, Bogdan, Szyluk, Karol, Botelho, Pedro, Lopes, Mariana Branco, Cismasiu, Brigitta, Costa, Paulo Matos, Fallah, Jean‐michel, Freitas, Gonçalo Teodoro Fernandes, Ferreira, Filipa, Nobre, José Guilherme Gonçalves, Henriques, Susana, Lino, Rui, Macedo, Alexandre, Mendes, Cláudia, Barreira, Ana Lúcia Preto, Ramos, Nuno, Rodrigues, Susana Candeias, Santos, Catarina Rolo, Pedro, Ricardo São, Silva, Melissa, Sousa, Carla, Ribeiro, Rui, Santos, José, Alves, Ricardo, Teles, Tobias, Sousa, Liliana B., Carvalho Carvalho, Dulce Helena Ferreira, Soares, Rui Costa, Costeira, Cristina, Graveto, João, Jordão, Daniel Martins, Paiva‐santos, Filipe, Parreira, Pedro, Sousa Salgueiro Oliveira, Anabela, Azevedo, Constança, Machado, Daniela, Semião, Miguel, Bolota, Joana, Cinza, Ana Margarida, Cotovio, Manuel Damasio, Leandro, Sofia, Oliveira, Joana, Lima, Rita Pedroso, Pereira, Mário, Velez, Cristina, Cardoso, Nicole, Domingues, Joana Cristina, Henriques, Pedro, Manso, Maria Isabel, Martins, Ruben, Santos, Gildasio Martins, Morais, Henrique, Pereira, Rute, Revez, Tatiana, Ribeiro, Vera Inês, Ribeiro, Ricardo, Sousa, Sandra, Teixeira, João, Cabral, Ana, Rodrigues, Catarina S., Alves, Paulo, Ferreira, Gonçalo, Neves, Miguel, Rama, Nuno, Sousa, Inês, Almeida, Mafalda, Morais, Ricardo Bettencourt, Campos, Ana, Caroça, Cristina, Bártolo, Mariana Couto, Galindo, Luis, Girao, Ricardo, Pais, José, Vaz, Carlos, Messias, Jose Henrique Albuquerque, Silva, Francisca Brito, Fonseca, Filipa, Maurício, Sandra, Peyroteo, Inês, Ramos, Rodrigo, Salgado, Inês, Santos, Patrícia, Forte, Joana Patena, Santos, Ema, Costeira, Beatriz, Neves, Filipe, Ourô, Susana, Ferreira, Marisa Peralta, Fernandes, Mafalda Sousa, Almeida, Joana Isabel, Almeida Pinto, João, Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), GlobalSurg Collaborative, Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, AGEM - Endocrinology, metabolism and nutrition, ARD - Amsterdam Reproduction and Development, Paediatrics, Tytgat Institute for Liver and Intestinal Research, Nepogodiev, D., Simoes, J. 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S., Shaheen, A., Mohammed, Y. S., Shehata, A., Shemeis, M., Shenit, K., Sheta, M., Soffar, A., Tanas, Y., Tarek, A., Yehia, N., Eid, O. K. M., Abdulfattah, A. Y., Elsaghir, A., Elganainy, M. F., Elsayed, O. I., Elmandouh, O., Hamam, O., Shehata, M. A., Abdelaziz, A. A., Abbas, A. M., El-Ghani, W. A., Abd Elazeem, H. A. S., Elsayed, M. A., Abd-Elkariem, A. Y., Abdalla, S., Abdel-Aleem, M., Abdelazeem, K., Abdelfattah, M., Abdelhafez, M., Abdelkarem, M. M., Abdelraouf, A., Abdullaha, L., Abubeih, H., Ahmed, M. E., Ahmed, N. E. A. E., Saad, S. A., Alaa, S., Alhussaini, A., Ali, A. A. A., Ali, I., Ali, W., Mohamed, M. A., Ashraf, M., Bassiouni, M., El-adawy, M. G., El-Sharkawi, M., Elkhayat, H., Elmaghraby, K., Elsdfy, S., Elsharkawy, M., Eltayeb, A., Mohamed, M. E., Essam, E., Fahd, M., Farouk, O., Gadelkareem, R., Ghoneim, A., Takrouney, M. H., Hamdan, A., Hamed, A. E. -R., Hasan, A., Hassanin, M. A., Hawal, I., Henes, K., Herdan, M. O., Hetta, H. F., Ibrahem, O., Ibrahim, I. H., Kamel, M., Khallaf, M., Elghazaly, S. M., Mahfouz, A., Mahmoud, O., Mahran, W., Mahrous, D., Marsis, A., Hussein, A. M., Sayed, A. M., Mohammed, M. M., Mokhtar, A., Monib, F. A., Nageeb, A., Nageh, M. A., Nageh, M., Omar, N. G., Ragab, A., Ramadan, A., Temerik, A. R., Safwat, H., Salah, O., Mahmoud, A. E. S., Saleh, A., Sallam, M., Samir, A., Sayad, R., Sayed, E., Sedik, A. S., Shahine, M., Soliman, A., Soliman, W., Taher, M. G., Wanees, R., Yousof, E. A., Youssef, A., Elabedeen, O. Z., Hassan, A. E. S., Fattah, S. A., Abostate, A., Ali, S., Salama, S. A. S., Allam, M., Alsadek, A., Arafa, E., Barakat, A., El Sherpiny, M., Elbehairy, G., Eleisawy, M., Elgendy, A., Elhawary, R., Eltregy, S., Hamdy, M., Hassan, G., Khalifa, A., Mahmoud, A., Altukhy, A. M., Noah, K., Noureldin, Y., Nowar, M., Saad, M., Elsaeidy, A. S., Elsaeidy, K. S., Sabry, H., Sameh, M., Said-elnaby, A. T., Zahed, M., Zahran, M., Zaid, A., Zoghary, A. Z., Atef, M., Abdelhamid, M. H. S., Alazab, E., Awad, A. K., Darwesh, A., El Fiky, L., Elgarhy, I., Nassef, M. A., Shaban, M., Shalaby, M. M. M., Wahba, A., Fouad, O. Y. O., Elsadek, M., Gad, D., Abdelsamed, A., Bayomy, A., Elsalhy, M., Fahim, A., Seleim, A., Afifi, E., Gamal, F. A., Gamal, M., Eldesouky, O., Eldwini, M. H. E. E., Fahmy, M. M. F., Hussein, A., Ouf, A., Sami, O., Shaat, S., Bahi, A. W. M. K., Atea, A., Gamal, I., El Kassas, M., Omar, W., Tawheed, A., Al-oribi, S., Aly, N. K., Elfiky, M., Elmaghraby, A. E., Elrahmany, A., Elsherbeeny, M., Helmy, Y., Nabil, A., Farahat, A. S., Soliman, M., Wassef, A., Abdelrahman, A., Elsaban, S., Ghaly, G., Hamdy, R., Mondy, H., Abdallah, L., Darwish, A. K. Z., Rabea, M., Azab, M. A., Abbas, A. S., El-Deeb, M., Fawzy, M., Ibraheem, M., Bakry, A., Elnems, S., Elsheikh, R., Gbreel, M. I., Hafez, M., Jammal, M., Hamam, K. M., Makram, A. M., Makram, O. M., Rabie, S., Askalany, S. Y., Abushanab, M. M. I., Eid, A., El Ghalid, M. R. I. A., Abdelaty, A. A., Fayad, E. A., Radwan, A., Shokry, A., Farouk, A. M., Elfallal, A., Elfeki, H., Elsaeed, M., Elsaid, M., Makroum, A., Elsaid, D. M., Mostafa, M., Omar, M. W., Rezk, M., Sakr, A., Sanad, A., Shalaby, M., Shawqy, M., Shetiwy, M., Shoma, A., Tawakl, N., Yunes, A., Abouzid, A., Atallah, K., Elmorsi, R., Elsherbini, A., Gaballa, K., Hamdy, O., Metwally, I. H., Refky, B., Zuhdy, M., Zahran, M. A., Abdellah, F., Abdelmawla, A., Abdrabou, A., Abubakr, A., Al Gohary, R., Al-Shazly, M. H., Allam, A. R., Aposaeeda, A., Asfour, M., Ayman, A., Omran, A. A., Daghash, I. T., Ebada, M. A., Eid, T., El Kelany, A., El Shemy, E., El-Hag-Aly, M., Elgamal, O., Elghoury, M., Elkased, A. F., Ellakwa, T. H., Ellakwa, H., Elmeanawy, A., Elnoamany, S., Elsabagh, A., Elsawey, A., Elshabrawy, E., Elshakhs, S., Elsoudy, N., Ezzat, E., Fawzy, A., Gamal, A., Gameel, A., Gharbia, K., Ghonaim, M., Ghonaim, A., Hafez, A., Ismail, Z., Khaled, M., Meselhy, M., Mikhail, P., Mougahed, M., Mustafa, A., Nada, A., Omran, J., Ebiad, M. S., Saleh, I., Salem, N., Salem, O., Selim, S., Shalaby, G., Sherif, H., Soltan, H., Wahbah, M., Abdelbary, E. Z., Zayan, A. H., Afify, A., Hadiya, H. A., Elshref, M. J., Ahmed, M. M., Nasser, N., Abdeldayem, H., Salama, I. A., Ammar, K., Ayoub, I., Badawy, M. T., Balabel, M., Fayed, Y., Gad, E. H., Gomaha, M., Hammad, E., Hegazy, O., Hegazy, E., Ibrahim, T., Kallaf, M., Macshut, M., Magdy, A., Oteem, A., Samaan, S., Sharshar, M., Shoreem, H., Soliman, E., Soliman, H. E., Yassein, T., Zakaria, H., Eldaly, A., Mashaly, S., Abd-Elsalam, S., Abdel-Elsalam, W., Shaalah, A. A., Elbahnasawy, M., Elhalaby, I., Hamada, M., Soliman, S. H., Hawila, A., Morsy, M. S., Naieem, M., Nasreddin, M., Salman, S., Sarsik, S., Shabana, A., Tolba, E., Zagho, M., Kams, L., Ratsep, T., Riips, K., Abdurehman, O., Admasu, A., Berhea, A., Eado, Y., Hailu, N., Kidane, M., Mohammed, A., Mohammed, K., Tibelt, A., Woldemariam, M. A., Yonael, L., Alemu, M., Aklilu, A. T., Asele, F., Assefa, S., Azmach, D., Bekele, P., Mamo, M., Maru, N., Mekuria, H., Menkir, A., Mikru, F., Siraw, E., Suga, H., Sumoro, N., Teka, A., Thomas, E., Woldemariam, D., Wubishet, E., Abebe, E., Abebe, K., Asfaw, F., Bergene, E., Eshete, M., Gebrehiwot, F. G., Gedefaw, Y., Mengesha, M. W., Mengiste, N., Menjeta, A., Muleta, M. B., Sefera, S., Tedla, Y., Teklu, D., Teshome, H., Tirfe, L., Tsegabrhan, S., Tsehaye, M., Worku, B., Molla, M., Supha, M., Taye, T., Abebe, N., Alemu, B., Chanie, A., Degefu, H., Desalegn, D., Gebre, H., Hussen, H., Kassa, D., Laeke, T., Mammo, T. N., Negash, S., Sahlu, A., Tiruneh, A. G., Wolde, A., Woldeselassie, H. G., Ahmed, M. Y., Zewdneh, B., Fentaw, J., Salia, S., Tabore, K., Gurara, A., Abreha, T., Abrha, T., Beyene, G., Weldu, M. A., Abdissa, D., Tesfaw, M., Wolle, M., Asmamaw, D., Assefa, B. Z., Bedane, D., Bekele, E., Getie, A., Melkamu, S., Mengesha, W., Shumye, G., Tagele, G., Tesfa, A. A., Workneh, W., Genetu, S., Mebratu, E., Chanyalew, L., Deresse, T., Girma, A., Seid, M., Shimelash, D., Shitaw, A., Ayalew, T., Diress, T., Kassahun, B., Kassaye, B., Mulugeta, E., Tesfaw, G., Yimenu, B., Benecha, S., Aman, M., Mekete, A., Tesemma, A., Mohammed, A. A., Abdullahi, Y. Y., Adem, E., Ahmedin, M., Assefa, Y., Ayde, F., Berhe, A., Gebremeskel, Z., Siyoum, E. G., Teresa, S., Wude, Z., Yemer, F., Yohannes, D., Zeleke, E., Zerihun, G., Degefe, D. W., Derilo, H. T., Eliyas, N., Bayissa, F., Deressa, Y., Gemechu, L., Gurmu, T., Kasaye, A., Melese, L., Muleta, L., Mulugeta, G., Taye, S., Teshome, A., Tesso, B., Gebrekirstos, G., Haile, M., Kassa, H., Saddik, M., Mengist, A., Heikkinen, J., Helminen, O., Huhta, H., Kotkavaara, T., Mosorin, M. -A., Pitkanen, J., Qian, C., Sinikumpu, J., Sova, H., Tastula, M., Virta, V. P., Bettoni, J., Dakpe, S., Devauchelle, B., Lavagen, N., Bastard, F., Bin, K., Breheret, R., Fouquet, O., Gueutier, A., Henric, N., Kahn, A., Kun-Darbois, J. -D., Moukoko, D., Pineau, A., Podevin, G., Schmitt, F., Alshawared, F., Beyrne, C. D., Lugans, L., Marie-Macron, L., Doussot, A., Ahmed, O., Alnajjar, L., Mis, T. C., Fliss, S., Giocanti-Auregan, A., Gregory, T., Guiraudet, P., Le Fouler, A., Martinod, E., Onorati, I., Peretti, M., Quilichini, J., Radu, D., Tresallet, T., Andro, C., Maffert, A., Chapman, T., Halden, M., Fayon, J., Mattevi, C., Marion, H., Bendjemar, L., Lionel, C., Mikhael, E., Macias, R. M., Villefranque, V., Volpin, E., Trilling, B., Boleslawski, E., Constance, H. -L., Drubay, V., El Amrani, M., Eveno, C., Lecolle, K., Martin, L., Noiret, B., Piessen, G., Truant, S., Zerbib, P., Aubry, E., Denimal, F., Lamblin, A., Barrat, B., Caire, F., Christou, N., Fourcade, L., Laloze, J., Bouv-Hez, M. M., Salle, H., Taibi, A., Tricard, J., Usseglio, J., Chopinet, S., Gregoire, E., Delpont, M., Blanchard, C., Crenn, V., de Vergie, S., Denis, W., Fragnaud, H., Regenet, N., Rigaud, J., Varenne, Y., Anract, P., Barat, M., Biau, D., Dautry, R., Dohan, A., Idier, L., Lang, E., Thouny, C., Tzedakis, S., Audenet, F., Cazelles, A., Chamouni, A., Karoui, M., Mejean, A., Clermidi, P., Langlais, T., Leonelli, L., Maisonneuve, E., Nicolas, B., Perrot, O., Prost, D., Thomin, A., Thouement, T., Athiel, Y., Berry, R., Boddaert, G., Bonnet, S., Cathala, N., Conso, C., Denet, C., Laforest, A., Levy-Zauberman, Y., Macek, P., Mombet, A., Ollat, D., Scamporlino, A., Zadegan, F., Amine, C. A., Baratte, B., Chartier-Kastler, E., Chereau, N., Colas, P. -A., Duquesne, I., Genser, L., Petit, G. G., Goumard, C., Hasani, A., Lim, C., Martellotto, S., Melot, C., Menegaux, F., Pinar, U., Pocard, M., Roupret, M., Scatton, O., Seisen, T., Severine, N., Turco, C., Chouillard, E., Beganton, P., Frasca, D., Kerforne, T., Corbiere, L., Gasmi, A., Ghemame, M., Guerin, S., Khene, Z. -E., Livin, M., Mahmoud, F., Maillot, B., Merdrignac, A., Mouriaux, F., Robin, F., Sulpice, L., Vazeux, C., Bertheuil, N., Bonneau, S., Cazemajou, C. T., Cousin, I., Defert, C., Fustec, E., Juricic, M., Lavoue, V., Mevel, G., Timoh, K. N., Renault, A., Violas, P., Schwarz, L., Tuech, J. J., Morichau-Beauchant, T., Sauvat, F., Haddad, E., Vermersch, S., Patrizi, A., Roux, A., Aime, A., Malgras, B., Cherkaoui, Z., D'Urso, A., Felli, E., Gonzalez, C. A., Ignat, M., Mutter, D., Pessaux, P., Vix, M., Gornes, H., Vergriete, K., Berthoumieu, P., Genre, L., Le Gall, H., Pierre, T., Chalhoub, M., Del, M., Martinez, A., Fuchs-Buder, T., Vancon, A., Faya, C. A., Asaph, E., Baruwa, E., Hofman, G., Machemedze, S., Idiata, M. M., Muhemi, R., Ndizeye, O., Nkunzimana, E., O'Connor, J., O'Connor, Z., Tchoba, S., Boumas, N., Devidze, G., Pisarevi, G., Baumgarten, S., Grusser, L., Holzle, F., Kowark, P., Kowark, A., Rossaint, R., Schafer, B., Wallqvist, J., Winnand, P., Ziemann, S., Anthuber, M., Broecheler, T., Edlinger, F., Gosslau, Y., Hyhlik-Duerr, A., Maksymiw, F., Shiban, E., Sommer, F., Sommer, B., Zerwes, S., Beyer, K., Lauscher, J. C., Lee, L. D., Loch, F. N., Schineis, C., Aghalarov, I., Belyaev, O., Braumann, C., Enste, A., Fahlbusch, T., Herzog, T., Horn, J., Jedanowski, J., Knipschild, J., Luu, A. M., Mohan, P. V., Siemen, L., Slobodkin, I., Strotmann, J. J., Uhl, W., Wolf, K., Coburn, M., Egger, E., Eichhorn, K., Enderes, J., Far, F., Franzen, A., Guresir, E., Hadjiathanasiou, A., Kalff, J. C., Kohistani, Z., Manekeller, S., Mustea, A., Probst, C., Randau, T., Recker, F., Schuss, P., Strassberger-Nerschbach, N., Strieth, S., Treede, H., van Beekum, C. J., Vatter, H., Velten, M., Vilz, T. O., Wirtz, D., Wittmann, M., Behr, M., Bulian, D. R., Marche, B., Moczko, T., Otchwemah, R., Schulz, S. -A., Thomaidis, P., Bruns, C., Cursiefen, C., Domrose, C., Fuchs, H., Heindl, L. M., Mallmann, M. R., Mallmann, C., Ratiu, D. A., Canzler, U., Distler, M., Korn, S., Meisel, C., Meusel, M., Petzold, A., Praetorius, C., von Renesse, J., Weitz, J., Wimberger, P., Alkhanji, N., Fung, S., Jaber, K., Knoefel, W. T., Vay, C., Clonda, O., Cottin, T., Juodiene, E., Juodis, D., Petrovic, B., Solodarenko, O., Binder, J., Grutzmann, R., Hackner, D., Junker, S., Arsalan, M., Banek, S., Chun, F., Faqar-Uz-Zaman, S. F., Keese, D., Kluth, L., Rolle, U., Van Linden, A., Walther, T., Bayer, J., Beck, J., Fung, C., Kraus, L. M., Leiber, C., Neidert, N., Sandkamp, R., Schnell, O., Schulte, A., Strahle, J., Jarmusch, S., Novotny, H. F. G., Becker, J., Fulghum, C., Gonschor, B., Herbolzheimer, M., Nicolaiciuc, S., Trulson, A., Vogelsang, H., Zimmermann, B., Akbari, A. A., Boening, A., Edinger, F., Hecker, M., Knitschke, M., Koch, C., Reichert, M., Schmidt, G., Schneck, E., Uhl, E., Nobrega, S. F., Kauffmann, P., Miller, C., Nemeth, M., Sievers, D., Kisser, U., Kleeff, J., Klose, J., Lorenz, K., Papendick, N., Plontke, S., Seiwerth, I., Steer, S., Thomssen, C., Ukkat, J., Dumpies, C. W., Gessner, M., Hanke, J., Klauke, F., Leuschner, S., Mendel, T., Muller, K., Schmidt, B., Schreiter, V., Stosberg, P., Vinz, F., Herbig, B., Sander, J., Schulte, T. M., Betz, C. S., Bewarder, J., Bier, J., Bottcher, A., Burg, S., Busch, C. -J., Bussmann, L., Gosau, M., Heuer, A., Izbicki, J., Klatte, T. O., Konig, D., Kopke, L. -G., Moeckelmann, N., Praetorius, M., Priemel, M., Stadlhofer, R., Stangenberg, M., Uzunoglu, F. 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V., Diamantis, A., Fichter, A., Grill, F., Heck, M., Jira, D., Kallmayer, M., Koll, F., Luhne, S., Meyer, B., Patachia, R., Pergolini, I., Safi, S., Schaffer, C., Schirren, M., Wegmann, H., Wirth, M., Zhu, Z., Aghamaliyev, U., Almaghrabi, M., Bocker, W., Bruder, J., Frank, K., Herterich, V., Huber, V., Ilmer, M., Kammerlander, C., Neuerburg, C., von Ehrlich-Treuenstatt, V. H., Werner, J., Borner, N., Fegg, F., Hartmann, D., Ladurner, R., Liokatis, P., Patzer, K., Schlager, J. G., Smolka, W., Zimmermann, P., Hatz, R., Steinhart, D., Glowalla, C., Schneidmueller, D., Henkel, K. W., Steiner, M., Holz, K., Knorr, C., Kuehlmann, B., Oikonomou, K., Prantl, L., Flurschutz, R., Honarpisheh, H., Kroger, M., Lepiorz, D., Luths, C., Niemeier, A., Sras, Y., Strate, T., Winter, T., Freiman, T., Gessler, F., Won, S. -Y., Widyaningsih, R., Hoffmann, S., Schafer, R. C., Thiel, J. 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K., Kar, M., Khuntia, S., Kumar, P., Kumar, R., Kv, A., Mishra, A., Mishra, S., Mittal, Y., Muduly, D., Panda, R., Panigrahi, S., Parija, S., Patra, S., Rout, B., Sahu, R., Sarkar, S., Singh, S., Sudha, S., Sultania, M., Tripathy, S., Varghese, P., Kansay, R., Kaushik, R., Gupta, S. K., Khare, S., Kumar, V., Mohindra, S., Patil, N., Salunke, P., Savlania, A., Singh, K., Pradeep Krishna, R. V., Narasimhan, G., Rela, M., Appukuttan, A., Goudar, S., Mallick, S., Titus, C., Chidambarasamy, E. S., Madhavan, D., Murugesan, A., Narayanasamy, K., Barani Kumar, P. B., Rajan, F., Vijayaragavan, P., Borthakur, B., Chauhan, T. S., Govil, A., Hanjoora, V. M., Srivastava, A., Tiwari, S., Vishwani, V., Pendyala, K. S., Prasad, N., Bothra, J., Deb, M., Herle, K., Jayaram, H., Kannaiyan, L., Krithiga, A., Mukta, W., Nagpal, P., Pathak, P., Banerjee, S., Chaudhary, R., Choudhary, G. R., Chugh, A., Dixit, P., Elhence, A., Gahlot, N., Garg, M., Ghuman, N. 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S., Singal, U., Solanki, F., Sonawane, R., Thete, R., Vhatkar, R., Vora, S., Waigankar, S., Wasnik, S., Yadav, M., Yedave, R., Acharya, H., Bangar, A., Bharucha, M., Dhumane, P., Karmarkar, S., Nathani, R., Nehe, A., Nene, A., Noronha, W. J., Palapalle, N., Patel, P., Poyyil, D., Redkar, R., Shah, M., Tewari, S., Bakshi, G., Chaudhari, V., Deshmukh, A., Desoouza, A., Nair, D., Nayak, P., Patkar, S., Puri, A., Qureshi, S., Shetty, P., Shylasree, T., Thakkar, P., Thiagarajan, S., Tiwari, V. K., Voppuru, S. R., Soni, A., Soni, G., Alam, J., Bagaria, D., Bajpai, M., Bisoi, A. K., Chauhan, S., Choudhary, N., Chouhan, R. S., Chumber, S., Farooque, K., Gudala, V., Joshi, M., Kabra, A., Kale, S. S., Kumar, S., Mahajan, D., Malhotra, R., Menon, P. R., Misra, B., Mittal, S., Parshad, R., Priyadarshini, P., Sagar, S., Sharma, P. B., Sharma, V., Trikha, V., Tyagi, M., Bansal, K., Varma, K., Bhardwaj, R., Mittal, A., Ponnusamy, S., Singh, G. 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P., Iovino, Claudio, CovidSurg Collaborarive, Frisoni T., Palmerini E., Donati D., Traina F., Solaini L., Pignatti M., Conti A., Internal Medicine, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Apollo - University of Cambridge Repository, COVIDSurg Collaborative, Li, E, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Vito Chiantera, Leo Licari, Palmisano, Silvia, de Manzini, Nicolo', Collaborative, Covidsurg, Collaborative, Globalsurg, Faculty of Medicine and Pharmacy, Clinical sciences, Medical Oncology, Basic (bio-) Medical Sciences, Diabetes Pathology & Therapy, Gastroenterology, Fruscio, R, Ornaghi, S, Surgical clinical sciences, COVIDSurg Collaborative (GlobalSurg, Collaborative), Beretta, L, and Aldrighetti, L.
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Male ,pulmonary embolism ,Internationality ,Settore MED/18 - CHIRURGIA GENERALE ,Deep vein ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,infectious diseases ,Cardiovascular ,SARS‐CoV‐2 ,surgery ,COVID-19 ,SARS-CoV-2 ,deep vein thrombosis ,venous thromboembolism ,Cohort Studies ,Postoperative Complications ,Anesthesiology ,Medicine and Health Sciences ,Prospective Studies ,610 Medicine & health ,Prospective cohort study ,Lung ,11 Medical and Health Sciences ,Confounding ,Hematology ,Middle Aged ,Thrombosis ,17 Psychology and Cognitive Sciences ,Pulmonary embolism ,medicine.anatomical_structure ,Cohort ,COVID-19/complications ,Postoperative Complications/etiology ,Original Article ,Female ,Patient Safety ,Life Sciences & Biomedicine ,Human ,Adult ,medicine.medical_specialty ,Adolescent ,Clinical Sciences ,GlobalSurg Collaborative ,Venous Thromboembolism/etiology ,NO ,COVIDSurg Collaborative ,Young Adult ,Medicine, General & Internal ,Age Distribution ,Clinical Research ,COVID‐19 ,General & Internal Medicine ,medicine ,Humans ,Sex Distribution ,Aged ,Science & Technology ,business.industry ,Prevention ,Neurosciences ,deep vein thrombosi ,Pneumonia ,Odds ratio ,Original Articles ,medicine.disease ,Surgery ,Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10] ,Prospective Studie ,Good Health and Well Being ,Anesthesiology and Pain Medicine ,Human medicine ,Postoperative Complication ,Cohort Studie ,business ,Venous thromboembolism ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 days of surgery. SARS-CoV-2 diagnosis was defined as peri-operative (7 days before to 30 days after surgery); recent (1-6 weeks before surgery); previous (≥7 weeks before surgery); or none. Information on prophylaxis regimens or pre-operative anti-coagulation for baseline comorbidities was not available. Postoperative venous thromboembolism rate was 0.5% (666/123,591) in patients without SARS-CoV-2; 2.2% (50/2317) in patients with peri-operative SARS-CoV-2; 1.6% (15/953) in patients with recent SARS-CoV-2; and 1.0% (11/1148) in patients with previous SARS-CoV-2. After adjustment for confounding factors, patients with peri-operative (adjusted odds ratio 1.5 (95%CI 1.1-2.0)) and recent SARS-CoV-2 (1.9 (95%CI 1.2-3.3)) remained at higher risk of venous thromboembolism, with a borderline finding in previous SARS-CoV-2 (1.7 (95%CI 0.9-3.0)). Overall, venous thromboembolism was independently associated with 30-day mortality (5.4 (95%CI 4.3-6.7)). In patients with SARS-CoV-2, mortality without venous thromboembolism was 7.4% (319/4342) and with venous thromboembolism was 40.8% (31/76). Patients undergoing surgery with peri-operative or recent SARS-CoV-2 appear to be at increased risk of postoperative venous thromboembolism compared with patients with no history of SARS-CoV-2 infection. Optimal venous thromboembolism prophylaxis and treatment are unknown in this cohort of patients, and these data should be interpreted accordingly. ispartof: ANAESTHESIA vol:77 issue:1 pages:28-39 ispartof: location:England status: published
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- 2022
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18. Striatal Cholinergic Dysregulation after Neonatal Decrease in X‐Linked Dystonia Parkinsonism‐Related <scp>TAF1</scp> Isoforms
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Jaime L. Watson, Pedro Gonzalez-Alegre, Michelle E. Ehrlich, Shareen Nelson, Travis B. Lewis, Maria-Daniela Cirnaru, Lisa M. Ellerby, and Jordi Creus-Muncunill
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Adult ,medicine.medical_specialty ,Cholinergic Agents ,X-Linked Dystonia Parkinsonism ,Biology ,Mice ,Parkinsonian Disorders ,Internal medicine ,medicine ,Animals ,Humans ,Protein Isoforms ,Cholinergic synapse ,Cholinergic neuron ,Histone Acetyltransferases ,Dystonia ,TATA-Binding Protein Associated Factors ,Gene knockdown ,Parkinsonism ,Neurodegeneration ,medicine.disease ,Rats ,Endocrinology ,Neurology ,Dystonic Disorders ,Cholinergic ,Transcription Factor TFIID ,Neurology (clinical) - Abstract
Background X-linked dystonia parkinsonism is a generalized, progressive dystonia followed by parkinsonism with onset in adulthood and accompanied by striatal neurodegeneration. Causative mutations are located in a noncoding region of the TATA-box binding protein-associated factor 1 (TAF1) gene and result in aberrant splicing. There are 2 major TAF1 isoforms that may be decreased in symptomatic patients, including the ubiquitously expressed canonical cTAF1 and the neuronal-specific nTAF1. Objective The objective of this study was to determine the behavioral and transcriptomic effects of decreased cTAF1 and/or nTAF1 in vivo. Methods We generated adeno-associated viral (AAV) vectors encoding microRNAs targeting Taf1 in a splice-isoform selective manner. We performed intracerebroventricular viral injections in newborn mice and rats and intrastriatal infusions in 3-week-old rats. The effects of Taf1 knockdown were assayed at 4 months of age with evaluation of motor function, histology, and RNA sequencing of the striatum, followed by its validation. Results We report motor deficits in all cohorts, more pronounced in animals injected at P0, in which we also identified transcriptomic alterations in multiple neuronal pathways, including the cholinergic synapse. In both species, we show a reduced number of striatal cholinergic interneurons and their marker mRNAs after Taf1 knockdown in the newborn. Conclusion This study provides novel information regarding the requirement for TAF1 in the postnatal maintenance of striatal cholinergic neurons, the dysfunction of which is involved in other inherited forms of dystonia. © 2021 International Parkinson and Movement Disorder Society.
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- 2021
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19. Impact of the First Generation of Children’s Oncology Group Clinical Trials on Clinical Practice for Wilms Tumor
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Jeffrey S. Dome, Murali Chintagumpala, David Dix, Peter F. Ehrlich, Elizabeth Perlman, James I. Geller, Paul E. Grundy, Lindsay A. Renfro, Najat C. Daw, Eric J. Gratias, Geetika Khanna, John A. Kalapurakal, Conrad V. Fernandez, and Elizabeth Mullen
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Oncology ,medicine.medical_specialty ,Lung Neoplasms ,medicine.medical_treatment ,Wilms Tumor ,Article ,Cog ,Internal medicine ,medicine ,Humans ,Child ,Survival rate ,Chemotherapy ,Lung ,business.industry ,Wilms' tumor ,medicine.disease ,Kidney Neoplasms ,Progression-Free Survival ,Survival Rate ,Clinical trial ,Radiation therapy ,medicine.anatomical_structure ,Toxicity ,business - Abstract
Refinements in surgery, radiation therapy, and chemotherapy since the mid-20th century have resulted in a survival rate exceeding 90% for patients with Wilms tumor (WT). Although this figure is remarkable, a significant proportion of patients continue to have event-free survival (EFS) estimates of
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- 2021
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20. Analysis of risk factors and prognosis in differentiated thyroid cancer with focus on minimal extrathyroidal extension
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Ann-Kathrin Ehrlich, Wolfgang P. Fendler, Karin Oebbecke, Irfan Vardarli, Kurt Werner Schmid, Sarah Theurer, Ken Herrmann, Manuel Weber, Elena Gilman, Rainer Görges, Ina Binse, Tim Brandenburg, Frank Weber, and Dagmar Führer-Sakel
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Oncology ,Adult ,Male ,medicine.medical_specialty ,Multivariate analysis ,Adolescent ,Endocrinology, Diabetes and Metabolism ,Thyroid Gland ,Medizin ,Disease ,Diseases of the endocrine glands. Clinical endocrinology ,law.invention ,Young Adult ,Randomized controlled trial ,law ,Risk Factors ,Diabetes mellitus ,Internal medicine ,medicine ,Humans ,Thyroid Neoplasms ,Child ,Thyroid cancer ,Aged ,Retrospective Studies ,business.industry ,Minimal extrathyroidal extension ,Confounding ,General Medicine ,Middle Aged ,medicine.disease ,Prognosis ,Differentiated thyroid cancer ,RC648-665 ,Carcinoma, Papillary ,DTC ,Survival Rate ,Exact test ,Lymphatic Metastasis ,Cohort ,Thyroidectomy ,AJCC/TNM classification ,Female ,Neoplasm Recurrence, Local ,business ,Research Article ,Follow-Up Studies - Abstract
Aims In contrast to all prior AJCC/TNM classifications for differentiated thyroid cancer (DTC) the 8th edition does not take minimal extrathyroidal extension (M-ETE) into consideration for local tumor staging. We therefore aimed to retrospectively assess the specific impact of M-ETE on the outcome of M-ETE patients treated in our clinic. Methods DTC patients with M-ETE and a follow-up time of ≥ 5 years were included and matched with an identical number of patients without M-ETE, but with equal histopathological tumor subtype and size. The frequency of initially metastatic disease among groups was compared using Fisher’s exact test, the recurrence rate by virtue of log-rank test. Fisher’s exact test and multivariate analysis were used to account for the presence of confounding risk factors. Results One hundred sixty patients (80 matching pairs) were eligible. With other confounding risk factors being equal, the prevalence of N1-/M1-disease at initial diagnosis was comparable among groups (M-ETE: 42.5 %; no M-ETE: 32.5 %; p = 0.25). No differences with regard to the recurrence rate were shown. However, M-ETE patients were treated with external beam radiation therapy more often (16.3 % vs. 1.3 %; p = 0.004) and received higher median cumulative activities of 131I (10.0 vs. 8.0 GBq; p Discussion Although having played a pivotal role for local tumor staging of DTC for decades M-ETE did not increase the risk for metastases at initial diagnosis and the recurrence rate in our cohort. Patients with M-ETE had undergone intensified treatment, which entails a possible confounding factor that warrants further investigation in randomized controlled trials.
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- 2021
21. Repetitive transcranial magnetic stimulation in the treatment of resistant depression: changes of specific neurotransmitter precursor amino acids
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D Ehrlich, Gilbert Reibnegger, Kostja Steiner, Katharina Kurz, Friedrich Leblhuber, Dietmar Fuchs, and Simon Geisler
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medicine.medical_specialty ,Phenylalanine hydroxylase ,Phenylalanine ,Prefrontal Cortex ,Stimulation ,Depressive Disorder, Treatment-Resistant ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,Humans ,Medicine ,Amino Acids ,Neurotransmitter ,Biological Psychiatry ,030304 developmental biology ,Neurotransmitter Agents ,0303 health sciences ,biology ,Depression ,business.industry ,Psychiatry and Preclinical Psychiatric Studies - Original Article ,Neopterin ,medicine.disease ,Transcranial Magnetic Stimulation ,Dihydroxyphenylalanine ,Psychiatry and Mental health ,Treatment Outcome ,Endocrinology ,Neurology ,chemistry ,biology.protein ,Tyrosine ,Neurology (clinical) ,Treatment-resistant depression ,business ,030217 neurology & neurosurgery ,Kynurenine - Abstract
Repetitive transcranial magnetic stimulation (rTMS) for treatment-resistant major depression offers an alternative therapy, since more than every third patient is not responding to adequate antidepressive treatment. In this interventional study safety, symptom development and changes of serum concentrations of neurotransmitter precursor amino acids, of immune activation and inflammation markers, of brain-derived neurotrophic factor (BDNF), nitrite as well as of salivary amylase were measured before and after a frontal polar cortex stimulation using rTMS as add-on treatment in 38 patients with treatment-resistant depression. Out of these, 17 patients received sham stimulation as a control. Treatment was well tolerated: with the exception of one patient of the verum group, who described discomfort during the second treatment, no serious adverse effects were observed. Improvement of depression with a significant decrease in the HAMD-7 scale (p = 0.001) was found in patients treated with rTMS, but not in sham-treated patients. Furthermore, serum phenylalanine and tyrosine dropped significantly (p = 0.03 and p = 0.027, respectively) in rTMS-treated patients. The kynurenine to tryptophan ratio (Kyn/Trp) tended to decrease under rTMS (p = 0.07). In addition, associations between concentrations of BDNF and neopterin as well as serum nitrite levels were found in patients after rTMS treatment, which indicates an influence of immune regulatory circuits on BDNF levels. In the sham-treated patients, no changes of biomarker concentrations were observed. Results show that rTMS is effective in the treatment of resistant depression. rTMS appears to influence the enzyme phenylalanine hydroxylase, which plays a central role in the biosynthesis of neurotransmitter precursors tyrosine and dihydroxyphenylalanine (DOPA).
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- 2021
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22. The bacterial microbiota of Hunner lesion interstitial cystitis/bladder pain syndrome
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Jarosław E. Król, Azad Ahmed, Joshua Chang Mell, Garth D. Ehrlich, Archana S. Bhat, Bhaswati Sen, Joshua P. Earl, J. Curtis Nickel, R. Christopher Doiron, and Kerri-Lynn Kelly
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medicine.medical_specialty ,biology ,Bladder Pain Syndrome ,business.industry ,Urology ,Urinary system ,Interstitial cystitis ,Urine ,Corynebacterium renale ,urologic and male genital diseases ,medicine.disease ,biology.organism_classification ,Gastroenterology ,Mobiluncus curtisii ,Lesion ,Internal medicine ,medicine ,Microbiome ,medicine.symptom ,business ,hormones, hormone substitutes, and hormone antagonists - Abstract
Objective To undertake the first comprehensive evaluation of the urinary microbiota associated with Hunner lesion (HL) interstitial cystitis/bladder pain syndrome (IC/BPS). Despite no previous identification of a distinct IC/BPS microbial urotype, HL IC/BPS, an inflammatory subtype of IC/BPS, was hypothesized most likely to be associated with a specific bacterial species or microbial pattern. Participants and methods The bacterial microbiota of midstream urine specimens from HL IC/BPS and age- and gender-matched IC/BPS patients without HL (non-HL IC/BPS) were examined using the pan-bacterial domain clinical-level molecular diagnostic Pacific Biosciences full-length 16S gene sequencing protocol, informatics pipeline and database. We characterized the differential presence, abundances, and diversity of species, as well as gender-specific differences between and among HL and non-HL IC/BPS patients. Results A total of 59 patients with IC/BPS were enrolled (29 HL, 30 non-HL; 43 women, 16 men) from a single centre and the microbiota in midstream urine specimens was available for comparison. The species abundance differentiation between the HL and non-HL groups (12 species) was not significantly different after Bonferroni adjustments for multiple comparisons. Similarly, the nine differentiating species noted between female HL and non-HL patients were not significantly different after similar statistical correction. However, four species abundances (out of the 10 species differences identified prior to correction) remained significantly different between male HL and non-HL subjects: Negativicoccus succinivorans, Porphyromonas somerae, Mobiluncus curtisii and Corynebacterium renale. Shannon diversity metrics showed significantly higher diversity among HL male patients than HL female patients (P = 0.045), but no significant diversity differences between HL and non-HL patients overall. Conclusions We were not able to identify a unique pathogenic urinary microbiota that differentiates all HL from all non-HL IC/BPS. It is likely that the male-specific differences resulted from colonization/contamination remote from the bladder. We were not able to show that bacteria play an important role in patients with HL IC/BPS.
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- 2021
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23. Factors Associated with Torsion in Pediatric Patients with Ovarian Masses
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Christina M Bence, Paige Hertweck, Jennifer H. Aldrink, Geri Hewitt, Brooks L. Rademacher, Peter C. Minneci, Kristine S. Corkum, Manish T. Raiji, Madeline Scannell, Katherine J. Deans, Julia Grabowski, Matthew P. Landman, Patrick A. Dillon, Amy E. Lawrence, Grace Z. Mak, Rashmi Kabre, Tiffany Wright, Charles M. Leys, Mary E. Fallat, Thomas T. Sato, Joseph A. Sujka, Amin Afrazi, Jason D. Fraser, Dave R. Lal, Amanda Onwuka, Dani O. Gonzalez, Peter F. Ehrlich, and Robert C. Burns
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inorganic chemicals ,medicine.medical_specialty ,Abdominal pain ,Adolescent ,Ovarian Torsion ,Ovariectomy ,medicine.medical_treatment ,Cystadenoma ,Malignancy ,Diagnosis, Differential ,Young Adult ,Risk Factors ,otorhinolaryngologic diseases ,medicine ,Humans ,Child ,Retrospective Studies ,Ultrasonography ,Ovarian Neoplasms ,Gynecology ,Ovarian cyst ,business.industry ,Ovary ,Teratoma ,Ovarian torsion ,Torsion (gastropod) ,Oophorectomy ,Odds ratio ,medicine.disease ,Confidence interval ,body regions ,Ovarian Cysts ,surgical procedures, operative ,Child, Preschool ,biological sciences ,Female ,Surgery ,medicine.symptom ,Tomography, X-Ray Computed ,business ,Organ Sparing Treatments - Abstract
Background Management of ovarian torsion has evolved toward ovarian preservation regardless of ovarian appearance during surgery. However, patients with torsion and an ovarian neoplasm undergo a disproportionately high rate of oophorectomy. Our objectives were to identify factors associated with ovarian torsion among females with an ovarian mass and to determine if torsion is associated with malignancy. Methods A retrospective review of females aged 2-21 y who underwent an operation for an ovarian cyst or neoplasm between 2010 and 2016 at 10 children's hospitals was performed. Multivariate logistic regression was used to assess factors associated with torsion. Imaging data were assessed for sensitivity, specificity, and predictive value in identifying ovarian torsion. Results Of 814 girls with an ovarian neoplasm, 180 (22%) had torsion. In risk-adjusted analyses, patients with a younger age, mass size >5 cm, abdominal pain, and vomiting had an increased likelihood of torsion (P 5 cm had two times the odds of torsion (odds ratio: 2.1; confidence interval: 1.2, 3.6). Imaging was not reliable at identifying torsion (sensitivity 34%, positive predictive value 49%) or excluding torsion (specificity 72%, negative predictive value 87%). The rates of malignancy were lower in those with an ovarian mass and torsion than those without torsion (10% versus 17%, P = 0.01). Among the 180 girls with torsion and a mass, 48% underwent oophorectomy of which 14% (n = 12) had a malignancy. Conclusions In females with an ovarian neoplasm, torsion is not associated with an increased risk of malignancy and ovarian preservation should be considered.
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- 2021
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24. Telehealth as a new care delivery model: The headache provider experience
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Annika Ehrlich, Nina Riggins, Christina L. Szperka, Lauren Strauss, Paul Rizzoli, Mia T. Minen, and Kayla E Kaplan
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Adult ,Male ,medicine.medical_specialty ,Telemedicine ,Coronavirus disease 2019 (COVID-19) ,Attitude of Health Personnel ,Headache Disorders ,Migraine Disorders ,education ,Vital signs ,Symptom monitoring ,Telehealth ,Article ,Interquartile range ,Physicians ,medicine ,Humans ,Societies, Medical ,Patient comfort ,business.industry ,Middle Aged ,medicine.disease ,United States ,Neurology ,Migraine ,Physical therapy ,Female ,Neurology (clinical) ,business - Abstract
Objective To assess telehealth practice for headache visits in the United States. Background The rapid roll out of telehealth during the COVID-19 pandemic impacted headache specialists. Methods American Headache Society (AHS) members were emailed an anonymous survey (9/9/20-10/12/20) to complete if they had logged ≥2 months or 50+ headache visits via telehealth. Results Out of 1348 members, 225 (16.7%) responded. Most were female (59.8%; 113/189). Median age was 47 (interquartile range [IQR] 37-57) (N = 154). The majority were MD/DOs (83.7%; 159/190) or NP/PAs (14.7%; 28/190), and most (65.1%; 123/189) were in academia. Years in practice were 0-3: 28; 4-10: 58; 11-20: 42; 20+: 61. Median number of telehealth visits was 120 (IQR 77.5-250) in the prior 3 months. Respondents were "comfortable/very comfortable" treating via telehealth (a) new patient with a chief complaint of headache (median, IQR 4 [3-5]); (b) follow-up for migraine (median, IQR 5 [5-5]); (c) follow-up for secondary headache (median, IQR 4 [3-4]). About half (51.1%; 97/190) offer urgent telehealth. Beyond being unable to perform procedures, top barriers were conducting parts of the neurologic exam (157/189), absence of vital signs (117/189), and socioeconomic/technologic barriers (91/189). Top positive attributes were patient convenience (185/190), reducing patient travel stress (172/190), patient cost reduction (151/190), flexibility with personal matters (128/190), patient comfort at home (114/190), and patient medications nearby (103/190). Only 21.3% (33/155) of providers said telehealth visit length differed from in-person visits, and 55.3% (105/190) believe that the no-show rate improved. On a 1-5 Likert scale, providers were "interested"/"very interested" in digitally prescribing headache apps (median 4, IQR 3-5) and "interested"/"very interested" in remotely monitoring patient symptoms (median 4, IQR 3-5). Conclusions Respondents were comfortable treating patients with migraine via telehealth. They note positive attributes for patients and how access may be improved. Technology innovations (remote vital signs, digitally prescribing headache apps) and remote symptom monitoring are areas of interest and warrant future research.
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- 2021
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25. Nutritional Ketosis in Parkinson’s Disease — a Review of Remaining Questions and Insights
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Choi, Alexander, Hallett, Mark, and Ehrlich, Debra
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0301 basic medicine ,medicine.medical_specialty ,Neurology ,Parkinson's disease ,medicine.medical_treatment ,Disease ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Pharmacology (medical) ,Intensive care medicine ,Pharmacology ,Clinical Trials as Topic ,Mechanism (biology) ,business.industry ,Brain-Derived Neurotrophic Factor ,Clinical study design ,Correction ,Parkinson Disease ,Fasting ,Ketosis ,Ketones ,Ketogenic diet ,medicine.disease ,Nutritional ketosis ,Clinical trial design ,030104 developmental biology ,Prognostic biomarkers ,Current Perspectives ,Outcomes research ,Parkinson’s disease ,Neurology (clinical) ,Diet, Ketogenic ,business ,030217 neurology & neurosurgery - Abstract
Nutritional ketosis has promise for treating Parkinson’s disease. Three previous studies explored the use of a ketogenic diet in cohorts with Parkinson’s disease, and, while not conclusive, the data suggest non-motor symptom benefit. Before the ketogenic diet can be considered as a therapeutic option, it is important to establish with greater certainty that there is a reliable symptomatic benefit: which symptoms or groups of symptoms are impacted (if non-motor symptoms, which ones, and by which mechanism), what timescale is needed to obtain benefit, and how large an effect size can be achieved? To accomplish this, further investigation into the disease mechanisms based on pre-clinical data and hints from the clinical outcomes to date is useful to understand target engagement and gauge which mechanism could lead to a testable hypothesis. We review research pertaining to ketogenic diet, exogenous ketones, fasting, clinical studies, and theoretical review papers regarding therapeutic mechanisms from direct ketone body signaling and indirect metabolic effects. Through discussion of these findings and consideration of whether the ketogenic diet can be regarded as therapeutically useful for adjunctive therapy for Parkinson’s disease, we identify remaining questions for the clinician to consider prior to recommending this diet. Supplementary Information The online version contains supplementary material available at 10.1007/s13311-021-01067-w.
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- 2021
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26. Improvement of skin lesions in corticosteroid withdrawal-associated severe eczema by multicomponent traditional Chinese medicine therapy
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Paul Ehrlich, Tory A. McKnight, Xiu-Min Li, Erin Thanik, Zixi Wang, Anna Nowak-Wegrzyn, Serife E. Uzun, and Nan Yang
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Allergy ,medicine.medical_specialty ,Erythema ,medicine.drug_class ,0211 other engineering and technologies ,02 engineering and technology ,Traditional Chinese medicine ,Eosinophil ,Severe eczema ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,021105 building & construction ,medicine ,Traditional Chinese Medicine ,SCORAD ,Letter to the Editor ,medicine.diagnostic_test ,business.industry ,General Medicine ,RC581-607 ,medicine.disease ,Discontinuation ,Regimen ,030220 oncology & carcinogenesis ,Itching ,Corticosteroid ,IgE ,medicine.symptom ,Immunologic diseases. Allergy ,business ,Corticosteroid withdrawal syndrome - Abstract
Rationale We recently showed that multicomponent traditional Chinese medicine (TCM) therapy had steroid-sparing effects in moderate-to-severe eczema. We sought to evaluate TCM effects in severe eczema in a 7-year-old male with refractory disease and corticosteroid withdrawal syndrome. Methods Prior to referral, the patient had been treated since infancy with increasingly intensive standard of care, including high-dose topical and systemic corticosteroid and antibiotic therapy and was unable to tolerate further steroid treatment. The patient was administered a combination of oral and topical TCM for 17 months following discontinuation of his steroid regimen. His overall medical condition was assessed by SCORAD criteria and laboratory evaluations of serum IgE, absolute eosinophil count, and liver and kidney function tests. Results The patient showed rapid improvement of clinical measures of disease after starting TCM therapy, with marked improvement of sleep quality within the first week, complete resolution of itching, oozing, and erythema at 2 weeks, and a 79% and 99% decrease in his SCORAD values after one month and 3–6 months of TCM, respectively. Serum total IgE decreased by 75% (from 19,000 to 4630 (kIU/L), and absolute eosinophil counts decreased by 60% (from 1000 to 427 cells/μL) after 12 months of treatment. The patient did not require oral or topical steroids during the 17-month trial of TCM. TCM was tapered without complications. His dermatologic manifestations continued to be well-controlled 3 months after discontinuation. Conclusion This case study suggests TCM should be further evaluated in controlled clinical studies of patients with severe, refractory eczema and steroid withdrawal syndrome.
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- 2021
27. Endovascular Stent-Graft Repair of the Ascending Aorta: Assessment of a Specific Novel Stent-Graft Design in Phantom, Cadaveric, and Clinical Application
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Marek Ehrlich, Marlies Stelzmüller, Sven R Hauck, Christoph Neumayer, Florian Wolf, Martin Funovics, Wolf Eilenberg, Alexander Kupferthaler, and Christian Loewe
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Male ,medicine.medical_treatment ,030204 cardiovascular system & hematology ,Prosthesis Design ,Curvature ,Imaging phantom ,Blood Vessel Prosthesis Implantation ,03 medical and health sciences ,Pseudoaneurysm ,0302 clinical medicine ,Cadaver ,medicine.artery ,Ascending aorta ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aorta ,Aged ,business.industry ,Endovascular Procedures ,Stent ,Ascending aortic stent-graft ,Ascending TEVAR ,equipment and supplies ,medicine.disease ,Blood Vessel Prosthesis ,surgical procedures, operative ,Treatment Outcome ,030228 respiratory system ,Custom-made stentgraft ,Landing zone ,Laboratory Investigation ,Stents ,Cardiology and Cardiovascular Medicine ,business ,Cadaveric spasm ,Biomedical engineering - Abstract
Purpose To test a stent-graft specifically designed for the ascending aorta in phantom, cadaver, and clinical application, and to measure deployment accuracy to overcome limitations of existing devices. Methods A stent-graft has been designed with support wires to fixate the apices toward the inner curvature, thereby eliminating the forward movement of the proximal end which can happen with circumferential tip capture systems. The device was deployed in three aortic phantoms, and in four cadavers, deployment precision was measured. Subsequently, the device was implanted in a patient to exclude a pseudoaneurysm originating from the distal anastomosis after ascending aortic replacement. Results The stent-grafts were successfully deployed in all phantoms and cadavers. Deployment accuracy of the proximal end of the stent-graft was within 1 mm proximally and 14 mm distally to the intended landing zone on the inner curvature, and 2–8 mm distal to the intended landing zone on the outer curvature. In clinical application, the pseudoaneurysm could be successfully excluded without complications. Conclusion The novel stent-graft design promises accurate placement in the ascending aorta. The differential deployment of the apices at the inner and outer curvatures allows deployment perpendicular to the aortic axis. Level of Evidence No level of evidence.
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- 2021
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28. Prognostic Factors for Low Visual Acuity after Cataract Surgery with Vitreous Loss
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Philip J Polkinghorne, Michal Schaap-Fogler, Gilad Rabina, Michael Mimouni, and Rita Ehrlich
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Pars plana ,030213 general clinical medicine ,medicine.medical_specialty ,Visual acuity ,Article Subject ,genetic structures ,medicine.medical_treatment ,Intraocular lens ,Vitrectomy ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Macular edema ,business.industry ,RE1-994 ,Cataract surgery ,medicine.disease ,Comorbidity ,eye diseases ,Surgery ,Ophthalmology ,medicine.anatomical_structure ,030221 ophthalmology & optometry ,sense organs ,Implant ,medicine.symptom ,business ,Research Article - Abstract
Purpose. The purpose of this study is to find prognostic factors associated with low visual acuity in patients experiencing vitreous loss during cataract surgery. Methods. A retrospective, noncomparative, interventional, case study of patients experiencing vitreous loss during cataract surgery. Data collected included demographics, best corrected visual acuity (BCVA), axial length (AL), presence of ocular comorbidity affecting central vision, timing of intraocular lens (IOL) implantation, position of the implanted lens, and the presence of corneal sutures. Low visual outcome was defined as BCVA 70 years, gender, axial length, degree of surgeon, corneal suturing, and anterior chamber lens implantation were not found to have significant associations with low visual outcomes ( P > 0.05 ). Conclusions. Low visual outcome after vitreous loss during cataract surgery was associated with ocular comorbidities, secondary IOL implantation, development of cystoid macular edema, and additional surgical complications.
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- 2021
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29. Breast Health Experiences in Women with Cerebral Palsy: A Qualitative Approach
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Linda Ehrlich-Jones, Deborah Gaebler-Spira, Jordyn Durkin, Christina Marciniak, Allison Todd, Judith A. Wolfman, Judith Panko Reis, and Rachel Byrne
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medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,preventive medicine ,medicine.disease ,Cerebral palsy ,Breast cancer screening ,Breast cancer ,Qualitative analysis ,disability ,Physical Barrier ,breast health ,Family medicine ,Health care ,medicine ,Original Article ,business ,Preventive healthcare - Abstract
Background: All women, regardless of disability status, should receive screening for breast cancer. In 2010, only 61.4% of women with disabilities (WWD) received a mammogram in the past 2 years compared to 75% of women without disabilities. The purpose of this study is to explore breast cancer screening experiences of women with cerebral palsy (CP) with the aim of identifying factors that could improve screening rates for WWD. Methods: Thirty women with CP, 22–72 years of age, residing in New York, Chicago, or Los Angeles areas participated in individual or group interviews about breast health. Twenty-five of the participants identified themselves as white, and one self-identified as Hispanic or Latina. Facilitators used a semistructured guide across the three sites. Qualitative analysis utilized an iterative coding process to generate themes related to breast health. Results: We identified six predominant themes in these interviews, which revolved around physical, environmental, and emotional barriers and facilitators. Within each theme, we identified subthemes. Physical barriers included the most highly identified subthemes of age, pain, holding breath, holding still, spasticity, standing, fatigue, and positioning. Self-advocacy and communication between the health care professional and the patient were the most common subthemes identified among the emotional facilitators. Conclusion: Women with CP perceive a variety of issues impacting breast health. These findings are multifaceted and suggest that improving screening rates for women with CP should address these barriers and facilitators.
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- 2021
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30. Standard of care for lipedema in the United States
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Jaime Schwartz, Erik Lontok, Margarita Correa-Perez, Paula M C Donahue, Linda Anne Kahn, Emily Iker, Chuck Ehrlich, Steven M Dean, Molly Sleigh, Kathleen H. Lisson, Ethan Larson, Edely L Wallace, Lindy McHutchison, Karen L. Herbst, Michael S. Schwartz, Nicholas Pennings, Tami Faris, John R. Bartholomew, Janis Miller, Polly Armour, and Thomas F Wright
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medicine.medical_specialty ,Standard of care ,Adipose tissue ,030204 cardiovascular system & hematology ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Lymphedema ,Obesity ,Buttocks ,Loose connective tissue ,business.industry ,Lipedema ,Original Articles ,General Medicine ,medicine.disease ,Dermatology ,United States ,medicine.anatomical_structure ,Adipose Tissue ,hypermobility ,standard of care ,Female ,Cardiology and Cardiovascular Medicine ,business ,chronic venous disease - Abstract
Background Lipedema is a loose connective tissue disease predominantly in women identified by increased nodular and fibrotic adipose tissue on the buttocks, hips and limbs that develops at times of hormone, weight and shape change including puberty, pregnancy, and menopause. Lipedema tissue may be very painful and can severely impair mobility. Non-lipedema obesity, lymphedema, venous disease, and hypermobile joints are comorbidities. Lipedema tissue is difficult to reduce by diet, exercise, or bariatric surgery. Methods This paper is a consensus guideline on lipedema written by a US committee following the Delphi Method. Consensus statements are rated for strength using the GRADE system. Results Eighty-five consensus statements outline lipedema pathophysiology, and medical, surgical, vascular, and other therapeutic recommendations. Future research topics are suggested. Conclusion These guidelines improve the understanding of the loose connective tissue disease, lipedema, to advance our understanding towards early diagnosis, treatments, and ultimately a cure for affected individuals.
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- 2021
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31. Gluten-induced Neurocognitive Impairment
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Kristin N. Voorhees, Babatunde Aideyan, Jennifer O'Flynn, Kayla Yates, Alan Ehrlich, Alice Bast, Kate T. Avery, Jessica B. Edwards George, Daniel A. Leffler, and Kristen Sweet
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chemistry.chemical_classification ,Systemic lupus erythematosus ,Two-alternative forced choice ,business.industry ,Gastroenterology ,Coding (therapy) ,Cognition ,Disease ,medicine.disease ,Gluten ,Quality of life ,chemistry ,medicine ,business ,Neurocognitive ,Clinical psychology - Abstract
Goals This study aimed to understand the neurocognitive symptoms associated with gluten exposure in individuals with self-reported celiac disease (CD) and nonceliac gluten sensitivity (NCGS). Background While gluten-induced neurocognitive impairment (GINI; eg, "celiac fog" or "brain fog") is commonly described by individuals with CD and NCGS, there are little data regarding the prevalence and symptoms associated with these experiences. Study A 9-question online survey was accessed by 1396 individuals (1143 with CD; 253 with NCGS). Forced choice and free-response questions were asked of participants to obtain a description of neurocognitive symptoms experienced after gluten ingestion. Free-response answers were coded using a coding structure developed based on the Health-Related Quality of Life Instrument. Results The majority of survey participants (89% of CD and 95% of NCGS) reported having GINI symptoms. When describing symptoms, the most common word descriptors for both groups were difficulty concentrating, forgetfulness, and grogginess. Timing of symptoms, including onset and symptom peak, were similar across the 2 groups. Coding of free responses found the most common references were to cognitive, physical, psychological, and overall quality of life impacts. Conclusions This survey suggests that GINI is common and may be severe in both individuals with CD and NCGS. Cognitive impairment and decline in physical functioning may be similar to that occurring in other illnesses, such as lupus. Clinical follow-up with both individuals with CD and NCGS should include assessment of GINI symptoms. Further research is warranted, including the development of a patient-reported outcome measure including neurocognitive effects of gluten exposure.
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- 2021
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32. Intercalated amygdala clusters orchestrate a switch in fear state
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Chase A. Weinholtz, Mathias Mahn, Martin Zeller, Andrew Holmes, Tanner Rigg, Ingrid Ehrlich, Aaron Limoges, Tiffany Campbell, Nikolaos Karalis, Olena Bukalo, Adriana Mendez, Andreas Lüthi, Kenta M. Hagihara, Larry S. Zweifel, Richard D. Palmiter, and Ayla Aksoy-Aksel
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Male ,0301 basic medicine ,Conditioning, Classical ,Neural Inhibition ,Biology ,Inhibitory postsynaptic potential ,Amygdala ,Article ,Extinction, Psychological ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Calcium imaging ,Avoidance Learning ,medicine ,Biological neural network ,Animals ,Neurons ,Multidisciplinary ,Classical conditioning ,Fear ,medicine.disease ,030104 developmental biology ,medicine.anatomical_structure ,Acoustic Stimulation ,Extinction (neurology) ,Anxiety ,Female ,medicine.symptom ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Adaptive behaviour necessitates the formation of memories for fearful events, but also that these memories can be extinguished. Effective extinction prevents excessive and persistent reactions to perceived threat, as can occur in anxiety and ‘trauma- and stressor-related’ disorders1. However, although there is evidence that fear learning and extinction are mediated by distinct neural circuits, the nature of the interaction between these circuits remains poorly understood2–6. Here, through a combination of in vivo calcium imaging, functional manipulations, and slice physiology, we show that distinct inhibitory clusters of intercalated neurons (ITCs) in the mouse amygdala exert diametrically opposed roles during the acquisition and retrieval of fear extinction memory. Furthermore, we find that the ITC clusters antagonize one another through mutual synaptic inhibition and differentially access functionally distinct cortical- and midbrain-projecting amygdala output pathways. Our findings show that the balance of activity between ITC clusters represents a unique regulatory motif that orchestrates a distributed neural circuitry, which in turn regulates the switch between high- and low-fear states. These findings suggest that the ITCs have a broader role in a range of amygdala functions and associated brain states that underpins the capacity to adapt to salient environmental demands. Distinct clusters of inhibitory neurons in the mouse amygdala perform opposing roles in fear extinction.
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- 2021
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33. Efficacious lifestyle interventions for appropriate gestational weight gain in women with overweight or obesity set in the health care system: a scoping review
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Samantha F. Ehrlich, Emoni Degon, Andrew Yockey, Monique M. Hedderson, Carey Moreno-Hunt, Pragya Gautam Poudel, Cristina S. Barroso, and Susan D. Brown
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Gerontology ,Psychological intervention ,Overweight ,03 medical and health sciences ,0302 clinical medicine ,Pregnancy ,Health care ,Humans ,Medicine ,Obesity ,030212 general & internal medicine ,Set (psychology) ,Life Style ,030219 obstetrics & reproductive medicine ,business.industry ,Obstetrics and Gynecology ,medicine.disease ,Gestational Weight Gain ,Pediatrics, Perinatology and Child Health ,Gestation ,Female ,medicine.symptom ,business ,Delivery of Health Care ,Weight gain - Abstract
Purpose: Health care systems offer opportunities to scale up interventions for appropriate gestational weight gain (GWG); however, GWG interventions in the health care setting remain largely unavai...
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- 2021
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34. Case study discussion: The important partnership role of Disability Nurse Navigators in the context of abrupt system changes because of COVID-19 pandemic
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Vanessa Brunelli, Carolyn Ehrlich, and Rhonda L. Beggs
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Telemedicine ,Partnerships ,Population ,Intellectual disability ,Context (language use) ,Case Report ,Telehealth ,03 medical and health sciences ,InformationSystems_GENERAL ,0302 clinical medicine ,Nursing ,Health care ,medicine ,030212 general & internal medicine ,education ,General Nursing ,Nurse navigator ,education.field_of_study ,030504 nursing ,Unintended consequences ,business.industry ,COVID-19 ,Workload ,medicine.disease ,ComputingMilieux_COMPUTERSANDSOCIETY ,Disruption ,0305 other medical science ,Psychology ,business - Abstract
Background Rapidly implementing telehealth-facilitated healthcare services in a COVID-19 environment generates relational challenges for people with intellectual disability. Disability Nurse Navigators assume a critical intermediary role between the healthcare system and this population. Aim To discuss the impact that rapid service change, in response to the COVID-19 pandemic, can have on people with disability and the work of Disability Nurse Navigators who support them. Methods This clinical case discussion comprises two parts. First, a discussion on the impact that COVID-19 pandemic management has had on one person with an intellectual disability is framed using intersecting notions of cumulative complexity and Burden of Treatment Theory. Following, through a Latourian lens, the role of the Disability Nurse Navigator is explored. Findings During COVID-19, telehealth has proved an important tool for healthcare continuity. Yet, for some people with some disabilities who live with additional and cumulative layers of health and social complexity, the healthcare workload that is transferred to them is exacerbated as they try to interact with disabling infrastructure. Discussion The Disability Nurse Navigator recognises that people with disability are not independent of the technologies and structures that make up the healthcare system but that they are mutually constitutive. The Disability Nurse Navigator thus works to stabilise the relationships between changed service provision and the healthcare workload and capacity of people with disability. Conclusion The work of the Disability Nurse Navigator ultimately mitigated the disruption and additional treatment burden that is transferred to people with disability because of unintended consequences arising from the rapid introduction of service change.
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- 2021
35. Impact of Readmission for Variceal Upper Gastrointestinal Bleeding: A Nationwide Analysis
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Dean Ehrlich, Sachit Sharma, Muhammad Aziz, Michael Sciarra, Simcha Weissman, Megan Perumpail, and James H. Tabibian
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medicine.medical_specialty ,education.field_of_study ,Physiology ,business.industry ,Mortality rate ,Population ,Gastroenterology ,Acute kidney injury ,Hepatology ,medicine.disease ,Internal medicine ,Cohort ,medicine ,Upper gastrointestinal bleeding ,business ,Complication ,education ,Kidney disease - Abstract
Variceal upper gastrointestinal bleeding (VUGIB) is a common and potentially lethal complication of cirrhosis. Population-based data regarding hospital readmission and other outcomes in VUGIB are limited. In a large United States database of patients with VUGIB, we evaluated readmission rates, mortality rates, healthcare resource consumption, and identified predictors of readmission. The 2017 Nationwide Readmission Database using ICD-10 codes was used to identify all adult patients admitted for VUGIB. Primary outcomes were 30- and 90-day readmission rates. Secondary outcomes included mortality, healthcare resource consumption, and predictors of readmission. Multivariate regression analysis was used to adjust for potential confounders. In 2017, there were 26,498 patients with VUGIB discharged from their index hospitalization, and 24.7% were readmitted (all-cause) within 30-days and 41.5% within 90-days. Recurrent VUGIB accounted for 26.7% and 28.9% of 30- and 90-day readmissions, respectively. Compared to index admissions, 30-day readmissions were associated with higher mortality (4.3% vs. 6.4%, p
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- 2021
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36. Orbital Lymphatic-Venous Malformation Accompanied by an Intraocular Vascular Malformation: A Rare Case Study
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Iftach Yassur, Rita Ehrlich, Miriam Regev, Karny Shouchane-Blum, Miriam Ehrenberg, Orly Gal-Or, Liora Kornreich, and Amir Sternfeld
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genetic structures ,rnf213 gene ,Case Report ,lmv ,chemistry.chemical_compound ,intraocular vascular anomaly ,Lymphangioma ,Rare case ,medicine ,lymphatic-venous-malformation ,business.industry ,Vascular malformation ,Retinal ,Anatomy ,Cheek ,RE1-994 ,medicine.disease ,eye diseases ,Ophthalmology ,Lymphatic system ,medicine.anatomical_structure ,chemistry ,sense organs ,business ,Venous malformation ,lymphangioma - Abstract
Lymphatic-venous malformations (LVMs) are development defects that result in abnormal connections between the lymphatic and venous systems. The authors describe a 7-weeks-old female infant who presented with a right orbital LVM extending to the ipsilateral cheek and subconjunctiva of the right eye, intracranial developmental venous anomalies in the right cerebellum, and a significant right eye intraocular retinal vascular malformation. Since orbital LVM is usually diagnosed in infancy or childhood, pediatric ophthalmologists should actively look for intraocular vascular malformations as such findings can poorly affect a patient’s vision.
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- 2021
37. Self-Reported Vision Impairment and Psychological Distress in U.S. Adults
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Joshua R. Ehrlich, Sharon Saydah, Jinan B. Saaddine, and Elizabeth A. Lundeen
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Adult ,Blindness ,Epidemiology ,business.industry ,Psychological distress ,Psychological Distress ,medicine.disease ,Ophthalmology ,Cross-Sectional Studies ,Surveys and Questionnaires ,Odds Ratio ,medicine ,Humans ,National Health Interview Survey ,Anxiety ,Self Report ,medicine.symptom ,business ,Depression (differential diagnoses) ,Clinical psychology - Abstract
Examine the relationship between vision impairment and psychological distress in adults ≥18 years.Using the 2016-2017 cross-sectional, U.S. National Health Interview Survey, we analyzed self-reported data (n = 57,644) on: Kessler psychological distress scores; general vision impairment (GVI), defined as difficulty seeing even when wearing glasses or contacts; and visual function impairment (VFI), measured using six visual function questions. Multinomial logistic regression was used to estimate adjusted odds ratios (aOR) for mild/moderate and serious psychological distress, by GVI and VFI status, and identify predictors of psychological distress among those with GVI or VFI.Among adults, 10.6% (95% CI: 10.2, 11.0) had GVI; 11.6% (CI: 11.1, 12.0) had VFI. One in four adults with GVI had psychological distress (14.9% [CI: 13.8, 16.0] reported mild/moderate and 11.2% [CI: 10.2, 12.3] reported serious). Individuals with GVI, versus those without, had higher odds of mild/moderate (aOR = 2.24; CI: 2.00, 2.52) and serious (aOR = 3.41; CI: 2.96, 3.93) psychological distress; VFI had similar findings. Among adults with GVI, odds of serious psychological distress were higher for those aged 18-39 (aOR = 4.46; CI: 2.89, 6.90) or 40-64 (aOR = 6.09; CI: 4.33, 8.57) versus ≥65 years; smokers (aOR = 2.45; CI: 1.88, 3.18) versus non-smokers; physically inactive (aOR = 1.61; CI: 1.22, 2.11) versus active; and with arthritis (aOR = 2.18; CI: 1.66, 2.87) or chronic obstructive pulmonary disease (aOR = 1.65; CI: 1.15, 2.37) versus without.Adults with self-reported vision impairment had higher odds of psychological distress. These findings may inform screening interventions to address psychological distress, particularly among younger working-age adults vision impairment.
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- 2021
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38. Socioeconomic Influence on Emergency Medical Services Utilization for Acute Stroke: Think Nationally, Act Locally
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Shreyansh Shah, Matthew E. Ehrlich, Carmelo Graffagnino, Bin Han, Yasmin Ali O'Keefe, Michael W. Lutz, Mohsen Ghiasi Ghorveh, and Brad J. Kolls
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medicine.medical_specialty ,business.industry ,media_common.quotation_subject ,Disease ,medicine.disease ,Original Research Articles ,Epidemiology ,Emergency medical services ,Medicine ,Quality (business) ,Neurology (clinical) ,Medical emergency ,business ,Socioeconomic status ,Acute stroke ,media_common - Abstract
Background and Purpose: Rates of emergency medical services (EMS) utilization for acute stroke remain low nationwide, despite the time-sensitive nature of the disease. Prior research suggests several demographic and social factors are associated with EMS use. We sought to evaluate which demographic or socioeconomic factors are associated with EMS utilization in our region, thereby informing future education efforts. Methods: We performed a retrospective analysis of patients for whom the stroke code system was activated at 2 hospitals in our region. Univariate and logistic regression analysis was performed to identify factors associated with use of EMS versus private vehicle. Results: EMS use was lower in patients who were younger, had higher income, were married, more educated and in those who identified as Hispanic. Those arriving by EMS had significantly faster arrival to code, arrival to imaging, and arrival to thrombolytic treatment times. Conclusion: Analysis of regional data can identify specific populations underutilizing EMS services for acute stroke symptoms. Factors effecting EMS utilization varies by region and this information may be useful for targeted education programs promoting EMS use for acute stroke symptoms. EMS use results in more rapid evaluation and treatment of stroke patients.
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- 2021
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39. One-step Reprogramming of Human Fibroblasts into Oligodendrocyte-like Cells by SOX10, OLIG2, and NKX6.2
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Farina Windener, Odile Boespflug-Tanguy, Qiao Ling Cui, Sabah Mozafari, Benjamín Hernández-Rodríguez, Anne Baron-Van Evercooren, Christian Thomas, Tanja Kuhlmann, Hans R. Schöler, Jürgen Winkler, Yu Kang T. Xu, Martin Stehling, Linda Ottoboni, Gianvito Martino, Marc Ehrlich, Stefanie Albrecht, Konstantina Chanoumidou, Sergiy Velychko, Juan M. Vaquerizas, Jack P. Antel, Kee-Pyo Kim, University Hospital Münster - Universitaetsklinikum Muenster [Germany] (UKM), Max Planck Institute for Molecular Biomedicine, Max-Planck-Gesellschaft, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), IRCCS Ospedale San Raffaele [Milan, Italy], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], Johns Hopkins University (JHU), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Maladies neurodéveloppementales et neurovasculaires (NeuroDiderot (UMR_S_1141 / U1141)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), and HAL-SU, Gestionnaire
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0301 basic medicine ,Pelizaeus-Merzbacher Disease ,Transcription, Genetic ,[SDV]Life Sciences [q-bio] ,Biochemistry ,Epigenesis, Genetic ,Myelin ,0302 clinical medicine ,Cell Movement ,direct conversion ,Transgenes ,Myelin Sheath ,human fibroblasts ,SOXE Transcription Factors ,Age Factors ,ATAC-seq ,Cellular Reprogramming ,Chromatin ,3. Good health ,Cell biology ,[SDV] Life Sciences [q-bio] ,Oligodendroglia ,medicine.anatomical_structure ,DNA methylation ,Reprogramming ,oligodendrocytes ,Biology ,Article ,Chromatin remodeling ,Cell Line ,OLIG2 ,03 medical and health sciences ,Genetics ,medicine ,Humans ,Gene Silencing ,PMD ,Homeodomain Proteins ,epigenetic age ,Leukodystrophy ,Cell Biology ,Fibroblasts ,Oligodendrocyte Transcription Factor 2 ,Chromatin Assembly and Disassembly ,medicine.disease ,Oligodendrocyte ,030104 developmental biology ,compound screenin ,Ectopic expression ,030217 neurology & neurosurgery ,Developmental Biology - Abstract
Summary Limited access to human oligodendrocytes impairs better understanding of oligodendrocyte pathology in myelin diseases. Here, we describe a method to robustly convert human fibroblasts directly into oligodendrocyte-like cells (dc-hiOLs), which allows evaluation of remyelination-promoting compounds and disease modeling. Ectopic expression of SOX10, OLIG2, and NKX6.2 in human fibroblasts results in rapid generation of O4+ cells, which further differentiate into MBP+ mature oligodendrocyte-like cells within 16 days. dc-hiOLs undergo chromatin remodeling to express oligodendrocyte markers, ensheath axons, and nanofibers in vitro, respond to promyelination compound treatment, and recapitulate in vitro oligodendroglial pathologies associated with Pelizaeus-Merzbacher leukodystrophy related to PLP1 mutations. Furthermore, DNA methylome analysis provides evidence that the CpG methylation pattern significantly differs between dc-hiOLs derived from fibroblasts of young and old donors, indicating the maintenance of the source cells’ “age.” In summary, dc-hiOLs represent a reproducible technology that could contribute to personalized medicine in the field of myelin diseases., Graphical abstract, Highlights • SOX10, OLIG2, and NKX6.2 directly convert human fibroblasts into dc-hiOLs in 16 days • dc-hiOLs express key oligodendrocyte markers • dc-hiOLs preserve the epigenetic age of donor cells • dc-hiOLs from PMD patients show maturation deficit and vulnerability to cell death, In this article, Kuhlmann and colleagues show that human fibroblasts can be directly converted into oligodendrocyte-like cells (dc-hiOLs) upon overexpression of SOX10, OLIG2, and NKX6.2. dc-hiOLs undergo chromatin remodeling to activate oligodendrocyte-related genes, perform ensheathment in vitro, and maintain the epigenetic age of donor cells. The applicability of dc-hiOLs in promyelination compound screening and disease-modeling studies is demonstrated.
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- 2021
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40. Amine oxidase copper-containing 3 (AOC3) inhibition: a potential novel target for the management of diabetic retinopathy
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David S. Boyer, Quan Dong Nguyen, Remko A. Bakker, Victor Chong, Michael Ehrlich, and Joerg F. Rippmann
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0301 basic medicine ,Semicarbazide-sensitive amine oxidase ,AOC3 ,Endothelium ,Ischemia ,Inflammation ,Vascular adhesion protein 1 ,Review ,Pharmacology ,03 medical and health sciences ,0302 clinical medicine ,Diabetes mellitus ,Edema ,medicine ,Amine oxidase copper-containing 3 ,business.industry ,Diabetic retinopathy ,Hypoxia (medical) ,RE1-994 ,medicine.disease ,Ophthalmology ,030104 developmental biology ,medicine.anatomical_structure ,030221 ophthalmology & optometry ,Non-proliferative diabetic retinopathy ,medicine.symptom ,business - Abstract
Background Diabetic retinopathy (DR), a microvascular complication of diabetes, is the leading cause of visual impairment in people aged 20–65 years and can go undetected until vision is irreversibly lost. There is a need for treatments for non-proliferative diabetic retinopathy (NPDR) which, in comparison with current intravitreal (IVT) injections, offer an improved risk–benefit ratio and are suitable for the treatment of early stages of disease, during which there is no major visual impairment. Efficacious systemic therapy for NPDR, including oral treatment, would be an important and convenient therapeutic approach for patients and physicians and would reduce treatment burden. In this article, we review the rationale for the investigation of amine oxidase copper-containing 3 (AOC3), also known as semicarbazide-sensitive amine oxidase and vascular adhesion protein 1 (VAP1), as a novel target for the early treatment of moderate to severe NPDR. AOC3 is a membrane-bound adhesion protein that facilitates the binding of leukocytes to the retinal endothelium. Adherent leukocytes reduce blood flow and in turn rupture blood vessels, leading to ischemia and edema. AOC3 inhibition reduces leukocyte recruitment and is predicted to decrease the production of reactive oxygen species, thereby correcting the underlying hypoxia, ischemia, and edema seen in DR, as well as improving vascular function. Conclusion There is substantial unmet need for convenient, non-invasive treatments targeting moderately severe and severe NPDR to reduce progression and preserve vision. The existing pharmacotherapies (IVT corticosteroids and IVT anti-vascular endothelial growth factor-A) target inflammation and angiogenesis, respectively. Unlike these treatments, AOC3 inhibition is predicted to address the underlying hypoxia and ischemia seen in DR. AOC3 inhibitors represent a promising therapeutic strategy for treating patients with DR and could offer greater choice and reduce treatment burden, with the potential to improve patient compliance.
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- 2021
41. Physical activity for blood glucose control in gestational diabetes mellitus: rationale and recommendations for translational behavioral interventions
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Samantha F. Ehrlich, Jill M. Maples, Oluwafemifola Onaade, Bethany Rand, Kimberly B. Fortner, and Nikki B. Zite
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medicine.medical_specialty ,Physical activity ,030209 endocrinology & metabolism ,Review Article ,Walking ,Diseases of the endocrine glands. Clinical endocrinology ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Randomized controlled trial ,Lifestyle counseling ,law ,Diabetes mellitus ,Health care ,medicine ,030212 general & internal medicine ,Goal setting ,Gestational diabetes ,Glycemic ,Pregnancy ,business.industry ,General Medicine ,medicine.disease ,RC648-665 ,Behavioral intervention ,Physical therapy ,business - Abstract
Gestational Diabetes Mellitus (GDM) is associated with adverse health outcomes during pregnancy and beyond. Previous randomized controlled trials of exercise interventions have demonstrated that exercise, conducted primarily during supervised sessions, improves maternal glycemic control in women with GDM. However, additional research is needed to develop physical activity interventions that are easily implemented in healthcare settings (e.g., recommendations and strategies to increase non-supervised physical activity). This narrative review presents: current physical activity recommendations for pregnancy and women with GDM; the scientific literature to date on physical activity, particularly walking, and blood glucose control in GDM; rationale for physical activity interventions targeting women with GDM that are appropriate for translation to the clinical setting (e.g., lifestyle interventions that include behavioral counseling with a health coach); and the strategies employed by previous, successful lifestyle interventions for pregnant and postpartum women that were based in clinical settings.Most previous exercise interventions for blood glucose control in women with GDM have included supervised exercise sessions, and will thus be difficult to translate to the health care system. However, lifestyle interventions for weight maintenance (i.e., healthy diet and physical activity) set in the health care system and delivered by health coaches have been successfully implemented in pregnant and postpartum populations. Therefore, we suggest that future trials examine lifestyle interventions that promote unsupervised walking with evidence-based behavioral strategies (e.g., goal setting, monitoring, and feedback) and consider incorporating the use of physical activity tracking devices to support these strategies.
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- 2021
42. Epidemiology of moderately severe and severe non-proliferative diabetic retinopathy in South West England
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Irene M Stratton, Elvira L Massó-González, Sonia S Maruti, Clare Bailey, Peter H Scanlon, Victor Chong, Michael Ehrlich, Sobha Sivaprasad, and Clareece R Nevill
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medicine.medical_specialty ,Epidemiology ,Population ,030209 endocrinology & metabolism ,Type 2 diabetes ,Retina ,Article ,03 medical and health sciences ,0302 clinical medicine ,RZ ,Interquartile range ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,030212 general & internal medicine ,education ,education.field_of_study ,Diabetic Retinopathy ,Laser Coagulation ,business.industry ,Incidence ,Incidence (epidemiology) ,Hazard ratio ,Diabetic retinopathy ,RA645.D54 ,medicine.disease ,Retinal diseases ,Confidence interval ,Ophthalmology ,Diabetes Mellitus, Type 2 ,RE ,business - Abstract
Aims To estimate the incidence of early treatment diabetic retinopathy study (ETDRS) level 47 and 53 and progression to treatment with panretinal photocoagulation (PRP) for proliferative DR (PDR). Methods Log-linear regression was used to estimate the incidence of level 47–53 or worse for 33,009 people with diabetes (PWD) in Gloucestershire during 2013–2016 by calendar year and diabetes type, based on the first recording. Progression was analysed in Gloucestershire and Bristol with a parametric survival analysis examining the association of baseline and time-varying demographic and clinical factors on time to PRP after the first recording of level 47–53. Results Incidence decreased from 0.57 (95% confidence intervals (CI) 0.48–0.67) per 100 PWD in 2013 to 0.35 (95% CI 0.29–0.43) in 2016 (p 1c were associated with an increase in the risk of initiating PRP (hazard ratio 3.14 (95% CI: 1.60–6.15) and 1.21 (95% CI: 1.06–1.38 per 10 mmol/mol) respectively). Conclusion This study provides additional understanding of this population and shows that a high proportion of patients with ETDRS levels 47–53 need to be monitored as they are at high risk of progressing to PDR.
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- 2021
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43. Cost-Related Medication Nonadherence in a Nationally Representative US Population with Self-Reported Glaucoma
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Joshua R. Ehrlich, Brian C. Stagg, Divakar Gupta, and Paula Anne Newman-Casey
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Adult ,medicine.medical_specialty ,genetic structures ,Population ,Glaucoma ,Logistic regression ,01 natural sciences ,Drug Costs ,Article ,Medication Adherence ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,National Health Interview Survey ,0101 mathematics ,Medical prescription ,education ,health care economics and organizations ,education.field_of_study ,business.industry ,010102 general mathematics ,Confounding ,General Medicine ,medicine.disease ,United States ,eye diseases ,Cross-Sectional Studies ,Family medicine ,030221 ophthalmology & optometry ,Medication Nonadherence ,Lower cost ,Self Report ,business - Abstract
Purpose To determine the rates of cost-related nonadherence to medications among US adults with glaucoma and to determine if participants with glaucoma have more cost-related medication nonadherence than those without glaucoma. Design Cross-sectional study. Participants Participants in the 2016–2017 National Health Interview Survey (NHIS), a cross-sectional survey regarding health topics that is administered annually to a nationally representative sample of noninstitutionalized adults in the United States. Methods We calculated proportions of NHIS participants with and without self-reported glaucoma who reported cost-related nonadherence over the previous 12 months. We analyzed responses to 7 survey items that dealt with medication cost-related issues to any/all of a participants’ medication: couldn't afford a prescribed medication; skipped medication doses to save money; took less medicine to save money; delayed filling a prescription to save money; asked doctor for lower cost medication to save money; bought prescription drugs from another country to save money; used alternative therapies to save money. We performed univariable and multivariable logistic regression to evaluate the association between self-reported glaucoma diagnosis and responses to these selected questions. Main Outcome Measures Proportion of participants with and without self-reported glaucoma who reported cost-related nonadherence. Results Participants with glaucoma reported they could not afford prescribed medication more frequently than participants without glaucoma (8.2% vs. 6.4% P = 0.024). Adjusted predicted proportions from a multivariable model demonstrated that participants with glaucoma responded that they had greater cost-related barriers to medication access. Conclusions In this nationally representative sample of the US population, after adjustment for confounding variables, participants with glaucoma more frequently reported cost-related nonadherence to medications compared with participants without glaucoma. Providers prescribing medication to patients with glaucoma should be aware of these findings and consider the impact of medication cost on their patients’ ability to adhere to therapy.
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- 2021
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44. Recombinant Zoster Vaccine (Shingrix): Real-World Effectiveness in the First 2 Years Post-Licensure
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Heng-Ming Sung, Bradley Lufkin, Hector S. Izurieta, Jeffrey A. Kelman, Michael Wernecke, Kathleen Dooling, Yoganand Chillarige, Paula Ehrlich Agger, Yun Lu, Ruth Link-Gelles, Richard A. Forshee, Thomas MaCurdy, and Xiyuan Wu
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0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,Herpes Zoster Vaccine ,030106 microbiology ,Neuralgia, Postherpetic ,Medicare ,Herpes Zoster ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Aged ,Aged, 80 and over ,Postherpetic neuralgia ,business.industry ,Hazard ratio ,Middle Aged ,medicine.disease ,United States ,Clinical trial ,Regimen ,Infectious Diseases ,Cohort ,Zoster vaccine ,business ,medicine.drug ,Cohort study - Abstract
BackgroundShingrix (recombinant zoster vaccine) was licensed to prevent herpes zoster, dispensed as 2 doses given 2–6 months apart among adults aged ≥50 years. Clinical trials yielded efficacy of >90% for confirmed herpes zoster, but post-market performance has not been evaluated. Efficacy of a single dose and a delayed second dose and efficacy among persons with autoimmune or immunosuppressive conditions have not been studied. We aimed to assess post-market vaccine effectiveness of Shingrix.MethodsWe conducted a cohort study among Medicare Part D community-dwelling beneficiaries aged >65 years. Herpes zoster was identified using a medical office visit diagnosis with treatment, and postherpetic neuralgia was identified using a validated algorithm. We used inverse probability of treatment weighting to improve cohort balance and marginal structural models to estimate hazard ratios.ResultsWe found a vaccine effectiveness of 70.1% (95% confidence interval [CI], 68.6–71.5) and 56.9% (95% CI, 55.0–58.8) for 2 and 1 doses, respectively. The 2-dose vaccine effectiveness was not significantly lower for beneficiaries aged >80 years, for second doses received at ≥180 days, or for individuals with autoimmune conditions. The vaccine was also effective among individuals with immunosuppressive conditions. Two-dose vaccine effectiveness against postherpetic neuralgia was 76.0% (95% CI, 68.4–81.8).ConclusionsThis large real-world observational study of the effectiveness of Shingrix demonstrates the benefit of completing the 2-dose regimen. Second doses administered beyond the recommended 6 months did not impair effectiveness. Our effectiveness estimates were lower than the clinical trials estimates, likely due to differences in outcome specificity.
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- 2021
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45. Clinician Perceptions of Robotic Exoskeletons for Locomotor Training After Spinal Cord Injury: A Qualitative Approach
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Edelle C. Field-Fote, Dominique Kinnett-Hopkins, Arun Jayaraman, Gail F. Forrest, Cathy Furbish, Deborah Crown, Rachel A. Bond, Linda Ehrlich-Jones, Chaithanya K. Mummidisetty, and Allen W. Heinemann
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Adult ,Male ,030506 rehabilitation ,medicine.medical_specialty ,Hospitals, Veterans ,medicine.medical_treatment ,media_common.quotation_subject ,Powered exoskeleton ,Psychological intervention ,Physical Therapy, Sports Therapy and Rehabilitation ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Surveys and Questionnaires ,Perception ,medicine ,Humans ,Practice Patterns, Physicians' ,Spinal cord injury ,Qualitative Research ,Spinal Cord Injuries ,media_common ,Rehabilitation ,business.industry ,Robotics ,Focus Groups ,Exoskeleton Device ,medicine.disease ,Focus group ,United States ,Exoskeleton ,Female ,Thematic analysis ,0305 other medical science ,business ,human activities ,030217 neurology & neurosurgery - Abstract
Objective To describe the experiences of clinicians who have used robotic exoskeletons in their practice and acquire information that can guide clinical decisions and training strategies related to robotic exoskeletons. Design Qualitative, online survey study, and 4 single-session focus groups followed by thematic analysis to define themes. Setting Focus groups were conducted at 3 regional rehabilitation hospitals and 1 Veteran’s Administration (VA) Medical Center. Participants Clinicians (N=40) reported their demographic characteristics and clinical experience using robotic exoskeletons. Twenty-nine clinicians participated in focus groups at regional hospitals that use robotic exoskeletons, as well as 1 VA Medical Center. Interventions Not applicable. Main Outcome Measure Clinicians’ preferences, experiences, training strategies, and clinical decisions on how robotic exoskeleton devices are used with Veterans and civilians with spinal cord injury. Results Clinicians had an average of 3 years of experience using exoskeletons in clinical and research settings. Major themes emerging from focus group discussions included appropriateness of patient goals, patient selection criteria, realistic patient expectations, patient and caregiver training for use of exoskeletons, perceived benefits, preferences regarding specific exoskeletons, and device limitations and therapy recommendations. Conclusions Clinicians identified benefits of exoskeleton use including decreased physical burden and fatigue while maximizing patient mobility, increased safety of clinicians and patients, and expanded device awareness and preferences. Suitability of exoskeletons for patients with various characteristics and managing expectations were concerns. Clinicians identified research opportunities as technology continues to advance toward safer, lighter, and hands-free devices.
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- 2021
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46. The association between body mass index and brain morphology in children: a population-based study
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Stefan Ehrlich, Fabio Bernardoni, Gwen C. Dieleman, Vincent W. V. Jaddoe, Cathelijne Steegers, Tonya White, Nadia Micali, Sander Lamballais, Meike W. Vernooij, Jan van der Ende, Pauline W. Jansen, Elisabet Blok, Manon H.J. Hillegers, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Epidemiology, Erasmus MC other, Pediatrics, and Radiology & Nuclear Medicine
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Male ,medicine.medical_specialty ,Histology ,Neurology ,Population ,Cortical folding ,Physiology ,Anorexia nervosa ,Cortical thickness ,Body Mass Index ,BMI ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Longitudinal Studies ,Obesity ,education ,Life Style ,Gyrification ,education.field_of_study ,business.industry ,General Neuroscience ,Body Weight ,Brain morphometry ,Brain ,medicine.disease ,Brain development ,Magnetic Resonance Imaging ,Body Height ,030227 psychiatry ,Original Article ,Female ,Generation R ,Anatomy ,business ,Body mass index ,030217 neurology & neurosurgery - Abstract
Brain morphology is altered in both anorexia nervosa and obesity. However, it is yet unclear if the relationship between Body Mass Index-Standard Deviation Score (BMI-SDS) and brain morphology exists across the BMI-SDS spectrum, or is present only in the extremes. The study involved 3160 9-to-11 year-old children (50.3% female) who participate in Generation R, a population-based study. Structural MRI scans were obtained from all children and FreeSurfer was used to quantify both global and surface-based measures of gyrification and cortical thickness. Body length and weight were measured to calculate BMI. Dutch growth curves were used to calculate BMI-SDS. BMI-SDS was analyzed continuously and in two categories (median split). The relationship between BMI-SDS (range − 3.82 to 3.31) and gyrification showed an inverted-U shape curve in children with both lower and higher BMI-SDS values having lower gyrification in widespread areas of the brain. BMI-SDS had a positive linear association with cortical thickness in multiple brain regions. This study provides evidence for an association between BMI-SDS and brain morphology in a large sample of children from the general population and suggests that a normal BMI during childhood is important for brain development. Future studies could determine whether lifestyle modifications optimize BMI-SDS result in return to more typical patterns of brain morphology. Supplementary Information The online version contains supplementary material available at 10.1007/s00429-020-02209-0.
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- 2021
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47. Striatal Dopamine Induced <scp>ERK</scp> Phosphorylation Is Altered in Mouse Models of Monogenic Dystonia
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Brian S. Muntean, Michelle E. Ehrlich, Maria Daniela Cirnaru, Genevieve Beauvais, Garrett Otrimski, Chiara Melis, Pedro Gonzalez-Alegre, Jordi Creus-Muncunill, and Kirill A. Martemyanov
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0301 basic medicine ,medicine.medical_specialty ,Dopamine ,Nigrostriatal pathway ,Medium spiny neuron ,Adenylyl cyclase ,Mice ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,medicine ,Animals ,Direct pathway of movement ,Gene Knock-In Techniques ,Phosphorylation ,Dystonia ,Levodopa-induced dyskinesia ,medicine.disease ,Corpus Striatum ,Mice, Inbred C57BL ,030104 developmental biology ,medicine.anatomical_structure ,Endocrinology ,Neurology ,chemistry ,Dyskinesia ,Neurology (clinical) ,medicine.symptom ,030217 neurology & neurosurgery ,Molecular Chaperones ,medicine.drug - Abstract
Background Similar to some monogenic forms of dystonia, levodopa-induced dyskinesia is a hyperkinetic movement disorder with abnormal nigrostriatal dopaminergic neurotransmission. Molecularly, it is characterized by hyper-induction of phosphorylation of extracellular signal-related kinase in response to dopamine in medium spiny neurons of the direct pathway. Objectives The objective of this study was to determine if mouse models of monogenic dystonia exhibit molecular features of levodopa-induced dyskinesia. Methods Western blotting and quantitative immunofluorescence was used to assay baseline and/or dopamine-induced levels of the phosphorylated kinase in the striatum in mouse models of DYT1, DYT6, and DYT25 expressing a reporter in dopamine D1 receptor-expressing projection neurons. Cyclic adenosine monophosphate (cAMP) immunoassay and adenylyl cyclase activity assays were also performed. Results In DYT1 and DYT6 models, blocking dopamine reuptake with cocaine leads to enhanced extracellular signal-related kinase phosphorylation in dorsomedial striatal medium spiny neurons in the direct pathway, which is abolished by pretreatment with the N-methyl-d-aspartate antagonist MK-801. Phosphorylation is decreased in a model of DYT25. Levels of basal and stimulated cAMP and adenylyl cyclase activity were normal in the DYT1 and DYT6 mice and decreased in the DYT25 mice. Oxotremorine induced increased abnormal movements in the DYT1 knock-in mice. Conclusions The increased dopamine induction of extracellular signal-related kinase phosphorylation in 2 genetic types of dystonia, similar to what occurs in levodopa-induced dyskinesia, and its decrease in a third, suggests that abnormal signal transduction in response to dopamine in the postsynaptic nigrostriatal pathway might be a point of convergence for dystonia and other hyperkinetic movement disorders, potentially offering common therapeutic targets. © 2021 International Parkinson and Movement Disorder Society.
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- 2021
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48. Abnormal cerebellar function and tremor in a mouse model for non‐manifesting partially penetrant dystonia type 6
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Roy V. Sillitoe, Dominic J Kizek, Ross Perez, Elena K Ruff, Meike E van der Heijden, and Michelle E. Ehrlich
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0301 basic medicine ,Cerebellum ,Physiology ,Thalamus ,Biology ,medicine.disease_cause ,Article ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Tremor ,medicine ,Animals ,Humans ,Dystonia ,Mutation ,Nuclear Proteins ,Heterozygote advantage ,medicine.disease ,Action tremor ,DNA-Binding Proteins ,Electrophysiology ,030104 developmental biology ,medicine.anatomical_structure ,nervous system ,Excitatory postsynaptic potential ,Apoptosis Regulatory Proteins ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Key points Loss-of-function mutations in the Thap1 gene cause partially penetrant dystonia type 6 (DYT6). Some non-manifesting DYT6 mutation carriers have tremor and abnormal cerebello-thalamo-cortical signalling. We show that Thap1 heterozygote mice have action tremor, a reduction in cerebellar neuron number, and abnormal electrophysiological signals in the remaining neurons. These results underscore the importance of Thap1 levels for cerebellar function. These results uncover how cerebellar abnormalities contribute to different dystonia-associated motor symptoms. Abstract Loss-of-function mutations in the Thanatos-associated domain-containing apoptosis-associated protein 1 (THAP1) gene cause partially penetrant autosomal dominant dystonia type 6 (DYT6). However, the neural abnormalities that promote the resultant motor dysfunctions remain elusive. Studies in humans show that some non-manifesting DYT6 carriers have altered cerebello-thalamo-cortical function with subtle but reproducible tremor. Here, we uncover that Thap1 heterozygote mice have action tremor that rises above normal baseline values even though they do not exhibit overt dystonia-like twisting behaviour. At the neural circuit level, we show using in vivo recordings in awake Thap1+/- mice that Purkinje cells have abnormal firing patterns and that cerebellar nuclei neurons, which connect the cerebellum to the thalamus, fire at a lower frequency. Although the Thap1+/- mice have fewer Purkinje cells and cerebellar nuclei neurons, the number of long-range excitatory outflow projection neurons is unaltered. The preservation of interregional connectivity suggests that abnormal neural function rather than neuron loss instigates the network dysfunction and the tremor in Thap1+/- mice. Accordingly, we report an inverse correlation between the average firing rate of cerebellar nuclei neurons and tremor power. Our data show that cerebellar circuitry is vulnerable to Thap1 mutations and that cerebellar dysfunction may be a primary cause of tremor in non-manifesting DYT6 carriers and a trigger for the abnormal postures in manifesting patients.
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- 2021
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49. White Matter Correlates of Suicidality in Adults With Bipolar Disorder Who Have Been Prospectively Characterized Since Childhood
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Vilde Chaya Fenster-Ehrlich, Michele A. Bertocci, John Merranko, Sarrah Mailliard, David A. Brent, Tina R. Goldstein, Boris Birmaher, Lisa Bonar, Amelia Versace, João Paulo Lima Santos, Danella Hafeman, Mary L. Phillips, Tae Kim, Genna Bebko, MaryKay Gill, Halimah Abdul-Waalee, Alexander Skeba, and Satish Iyengar
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Adult ,medicine.medical_specialty ,Bipolar Disorder ,Multivariate analysis ,Adolescent ,Cognitive Neuroscience ,Suicide, Attempted ,Article ,050105 experimental psychology ,Suicidal Ideation ,White matter ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Fractional anisotropy ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,Bipolar disorder ,Child ,Suicidal ideation ,Biological Psychiatry ,medicine.diagnostic_test ,business.industry ,05 social sciences ,Magnetic resonance imaging ,medicine.disease ,Emotional dysregulation ,White Matter ,Right cingulum bundle ,Suicide ,medicine.anatomical_structure ,Neurology (clinical) ,medicine.symptom ,business ,030217 neurology & neurosurgery - Abstract
Background Prevention of suicide in individuals with early-onset bipolar disorder (BD) remains a challenge. Diffusion magnetic resonance imaging studies in BD have identified neural correlates of emotional dysregulation implicated in BD and suicide. Using diffusion magnetic resonance imaging, we sought to identify neural signatures of suicide attempts in adults with childhood-onset BD who have been clinically followed for up to 19 years as part of the COBY (Course and Outcome of Bipolar Youth) study. Methods Diffusion magnetic resonance imaging data were collected in 68 adults with BD: 20 in the suicide attempter (SA+) group and 48 in the non–suicide attempter (SA−) group. Multivariate analysis of covariance was used to identify the effect of group (SA+, SA−) on mean fractional anisotropy (indirect index of fiber collinearity) in key white matter tracts of emotional regulation. The effect of suicidal ideation and other clinical factors was further explored. False discovery rate was used to account for multiple comparison. Forty healthy control subjects were included. Results Analyses revealed a main effect of group on fractional anisotropy (F5,59 = 3.0, p = .017). Specifically, the SA+ group showed lower fractional anisotropy than the SA− and healthy control groups in the middle portion of the forceps minor (FMIN) (F1,63 = 8.5, p = .010) and in the anterior (F1,63 = 7.8, p = .010) and posterior (F1,63 = 8.7, p = .006) portion of the right cingulum bundle (CB). Abnormalities in the FMIN, but not CB, were also associated with suicidal ideation (F1,64 = 10.6, p = .002) and levels of emotional distress at scan. Conclusions FMIN and CB abnormalities have been associated with emotional dysregulation in BD. Our findings suggest that the FMIN may represent a generic marker of suicidal ideation and, more broadly, emotional distress, while CB may represent a specific marker of attempted suicide.
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- 2021
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50. The Association of Cognitive and Visual Function in a Nationally Representative Study of Older Adults in India
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Joshua R. Ehrlich, Jinkook Lee, Tochukwu Ndukwe, and Sandy Chien
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Aging ,Visual acuity ,Epidemiology ,Population ,India ,Neuropsychological Tests ,Article ,Cognition ,Humans ,Medicine ,Dementia ,Cognitive Dysfunction ,Effects of sleep deprivation on cognitive performance ,Cognitive decline ,Risk factor ,education ,Aged ,education.field_of_study ,business.industry ,medicine.disease ,Cognitive test ,Cross-Sectional Studies ,Neurology (clinical) ,medicine.symptom ,business ,Clinical psychology - Abstract
Introduction: Due to population aging, India is poised to experience a large increase in the burden of both dementia and vision impairment (VI). Prior studies from other settings suggest that VI may be a modifiable risk factor for cognitive decline and dementia. However, to date, no studies have examined the association of impaired visual acuity and cognition in India. Methods: A total of 3,784 participants in wave 1 of the population-based Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India underwent visual acuity testing and a cognitive test battery. Multivariable linear regression was used to model the cross-sectional associations of mild (Results: The weighted percentage of participants with any VI was 52.6%. VI was independently associated with lower cognitive scores across all domains, even after adjustment for known dementia risk factors. In fully adjusted models of total cognition (mean score: 130.7), mild, moderate, and severe VI/blindness were associated with a significant change of −3.5 (95% CI: −6.3, −0.6), −8.2 (95% CI −10.5, −5.6), and −16.8 (95% CI −22.3, −11.3) units, respectively. A dose-response association between level of VI and cognitive function was observed for all cognitive outcomes except for language/fluency domain scores. Associations were robust when cognitive tests dependent on visual function were excluded. Across each fully adjusted model of total, domain-specific, and informant-reported cognitive performance, moderate VI was equivalent to 5–9 years of cognitive aging. Discussion/Conclusion: This study illustrates that VI is cross-sectionally associated with lower cognitive performance, largely in a dose-response pattern, across various cognitive domains in the Indian population. These findings are important for informing future longitudinal and interventional studies.
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- 2021
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