Author: "Merchant AT" / Topic: medicine.disease - Searchworks@Jio Institute Digital Library Search Results

2,529 results on '"Merchant AT"'

1. Genome-wide analysis of 53,400 people with irritable bowel syndrome highlights shared genetic pathways with mood and anxiety disorders

Author: Eijsbouts, Chris, Zheng, Tenghao, Kennedy, Nicholas A., Bonfiglio, Ferdinando, Anderson, Carl A., Moutsianas, Loukas, Holliday, Joanne, Shi, Jingchunzi, Shringarpure, Suyash, Voda, Alexandru-Ioan, Farrugia, Gianrico, Franke, Andre, H��benthal, Matthias, Abecasis, Gon��alo, Zawistowski, Matthew, Skogholt, Anne Heidi, Ness-Jensen, Eivind, Hveem, Kristian, Esko, T��nu, Teder-Laving, Maris, Zhernakova, Alexandra, Camilleri, Michael, Boeckxstaens, Guy, Whorwell, Peter J., Spiller, Robin, McVean, Gil, D��Amato, Mauro, Jostins, Luke, Parkes, Miles, Agee, Michelle, Aslibekyan, Stella, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Clark, Sarah K., Elson, Sarah L., Fletez-Brant, Kipper, Fontanillas, Pierre, Furlotte, Nicholas A., Gandhi, Pooja M., Heilbron, Karl, Hicks, Barry, Hinds, David A., Huber, Karen E., Jewett, Ethan M., Jiang, Yunxuan, Kleinman, Aaron, Lin, Keng-Han, Litterman, Nadia K., Luff, Marie K., McCreight, Jey C., McIntyre, Matthew H., McManus, Kimberly F., Mountain, Joanna L., Mozaffari, Sahar V., Nandakumar, Priyanka, Noblin, Elizabeth S., Northover, Carrie A. M., O��Connell, Jared, Petrakovitz, Aaron A., Pitts, Steven J., Poznik, G. David, Sathirapongsasuti, J. Fah, Shastri, Anjali J., Shelton, Janie F., Tian, Chao, Tung, Joyce Y., Tunney, Robert J., Vacic, Vladimir, Wang, Xin, Zare, Amir S., Kashyap, Purna, Chang, Lin, Mayer, Emeran, Heitkemper, Margaret, Sayuk, Gregory S., Ringel-Kulka, Tamar, Ringel, Yehuda, Chey, William D., Eswaran, Shanti, Merchant, Juanita L., Shulman, Robert J., Bujanda, Luis, Garcia-Etxebarria, Koldo, Dlugosz, Aldona, Lindberg, Greger, Schmidt, Peter T., Karling, Pontus, Ohlsson, Bodil, Walter, Susanna, Faresj��, ��shild O., Simren, Magnus, Halfvarson, Jonas, Portincasa, Piero, Barbara, Giovanni, Usai-Satta, Paolo, Neri, Matteo, Nardone, Gerardo, Cuomo, Rosario, Galeazzi, Francesca, Bellini, Massimo, Latiano, Anna, Houghton, Lesley, Jonkers, Daisy, Kurilshikov, Alexander, Weersma, Rinse K., Netea, Mihai, Tesarz, Jonas, Gauss, Annika, Goebel-Stengel, Miriam, Andresen, Viola, Frieling, Thomas, Pehl, Christian, Schaefert, Rainer, Niesler, Beate, Lieb, Wolfgang, Hanevik, Kurt, Langeland, Nina, Wensaas, Knut-Arne, Litleskare, Sverre, Gabrielsen, Maiken E., Thomas, Laurent, Thijs, Vincent, Lemmens, Robin, Van Oudenhove, Lukas, Wouters, Mira, Eijsbouts C., Zheng T., Kennedy N.A., Bonfiglio F., Anderson C.A., Moutsianas L., Holliday J., Shi J., Shringarpure S., Agee M., Aslibekyan S., Auton A., Bell R.K., Bryc K., Clark S.K., Elson S.L., Fletez-Brant K., Fontanillas P., Furlotte N.A., Gandhi P.M., Heilbron K., Hicks B., Hinds D.A., Huber K.E., Jewett E.M., Jiang Y., Kleinman A., Lin K.-H., Litterman N.K., Luff M.K., McCreight J.C., McIntyre M.H., McManus K.F., Mountain J.L., Mozaffari S.V., Nandakumar P., Noblin E.S., Northover C.A.M., O'Connell J., Petrakovitz A.A., Pitts S.J., Poznik G.D., Sathirapongsasuti J.F., Shastri A.J., Shelton J.F., Tian C., Tung J.Y., Tunney R.J., Vacic V., Wang X., Zare A.S., Voda A.-I., Kashyap P., Chang L., Mayer E., Heitkemper M., Sayuk G.S., Ringel-Kulka T., Ringel Y., Chey W.D., Eswaran S., Merchant J.L., Shulman R.J., Bujanda L., Garcia-Etxebarria K., Dlugosz A., Lindberg G., Schmidt P.T., Karling P., Ohlsson B., Walter S., Faresjo A.O., Simren M., Halfvarson J., Portincasa P., Barbara G., Usai-Satta P., Neri M., Nardone G., Cuomo R., Galeazzi F., Bellini M., Latiano A., Houghton L., Jonkers D., Kurilshikov A., Weersma R.K., Netea M., Tesarz J., Gauss A., Goebel-Stengel M., Andresen V., Frieling T., Pehl C., Schaefert R., Niesler B., Lieb W., Hanevik K., Langeland N., Wensaas K.-A., Litleskare S., Gabrielsen M.E., Thomas L., Thijs V., Lemmens R., Van Oudenhove L., Wouters M., Farrugia G., Franke A., Hubenthal M., Abecasis G., Zawistowski M., Skogholt A.H., Ness-Jensen E., Hveem K., Esko T., Teder-Laving M., Zhernakova A., Camilleri M., Boeckxstaens G., Whorwell P.J., Spiller R., McVean G., D'Amato M., Jostins L., Parkes M., Eijsbouts, Chris [0000-0001-5179-0653], Anderson, Carl A. [0000-0003-1719-7009], Moutsianas, Loukas [0000-0001-5453-345X], Holliday, Joanne [0000-0003-4568-7320], Shringarpure, Suyash [0000-0001-6464-2668], Voda, Alexandru-Ioan [0000-0003-2974-6992], Farrugia, Gianrico [0000-0003-3473-5235], Hübenthal, Matthias [0000-0002-5956-3006], Abecasis, Gonçalo [0000-0003-1509-1825], Zawistowski, Matthew [0000-0002-3005-083X], Ness-Jensen, Eivind [0000-0001-6005-0729], Teder-Laving, Maris [0000-0002-5872-1850], Camilleri, Michael [0000-0001-6472-7514], Whorwell, Peter J. [0000-0002-5220-8474], Spiller, Robin [0000-0001-6371-4500], McVean, Gil [0000-0002-5012-4162], D’Amato, Mauro [0000-0003-2743-5197], Jostins, Luke [0000-0002-2475-3969], Parkes, Miles [0000-0002-6467-0631], Apollo - University of Cambridge Repository, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Eijsbouts, C., Zheng, T., Kennedy, N. A., Bonfiglio, F., Anderson, C. A., Moutsianas, L., Holliday, J., Shi, J., Shringarpure, S., Agee, M., Aslibekyan, S., Auton, A., Bell, R. K., Bryc, K., Clark, S. K., Elson, S. L., Fletez-Brant, K., Fontanillas, P., Furlotte, N. A., Gandhi, P. M., Heilbron, K., Hicks, B., Hinds, D. A., Huber, K. E., Jewett, E. M., Jiang, Y., Kleinman, A., Lin, K. -H., Litterman, N. K., Luff, M. K., Mccreight, J. C., Mcintyre, M. H., Mcmanus, K. F., Mountain, J. L., Mozaffari, S. V., Nandakumar, P., Noblin, E. S., Northover, C. A. M., O'Connell, J., Petrakovitz, A. A., Pitts, S. J., Poznik, G. D., Sathirapongsasuti, J. F., Shastri, A. J., Shelton, J. F., Tian, C., Tung, J. Y., Tunney, R. J., Vacic, V., Wang, X., Zare, A. S., Voda, A. -I., Kashyap, P., Chang, L., Mayer, E., Heitkemper, M., Sayuk, G. S., Ringel-Kulka, T., Ringel, Y., Chey, W. D., Eswaran, S., Merchant, J. L., Shulman, R. J., Bujanda, L., Garcia-Etxebarria, K., Dlugosz, A., Lindberg, G., Schmidt, P. T., Karling, P., Ohlsson, B., Walter, S., Faresjo, A. O., Simren, M., Halfvarson, J., Portincasa, P., Barbara, G., Usai-Satta, P., Neri, M., Nardone, G., Cuomo, R., Galeazzi, F., Bellini, M., Latiano, A., Houghton, L., Jonkers, D., Kurilshikov, A., Weersma, R. K., Netea, M., Tesarz, J., Gauss, A., Goebel-Stengel, M., Andresen, V., Frieling, T., Pehl, C., Schaefert, R., Niesler, B., Lieb, W., Hanevik, K., Langeland, N., Wensaas, K. -A., Litleskare, S., Gabrielsen, M. E., Thomas, L., Thijs, V., Lemmens, R., Van Oudenhove, L., Wouters, M., Farrugia, G., Franke, A., Hubenthal, M., Abecasis, G., Zawistowski, M., Skogholt, A. H., Ness-Jensen, E., Hveem, K., Esko, T., Teder-Laving, M., Zhernakova, A., Camilleri, M., Boeckxstaens, G., Whorwell, P. J., Spiller, R., Mcvean, G., D'Amato, M., Jostins, L., and Parkes, M.
Subjects: Male, Molecular Chaperone, Mood Disorder, 631/208/205/2138, Biology, 692/699/1503/1502/2071, Bioinformatics, Polymorphism, Single Nucleotide, Genetic pathways, 38/43, Irritable Bowel Syndrome, Cytoskeletal Protein, Genetics, medicine, Genetic predisposition, Aged, Anxiety Disorders, CD56 Antigen, Cell Adhesion Molecules, Cytoskeletal Proteins, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Guanine Nucleotide Exchange Factors, Homeodomain Proteins, Humans, Middle Aged, Molecular Chaperones, Mood Disorders, United Kingdom, Polymorphism, 692/699/476, Irritable bowel syndrome, Depression (differential diagnoses), article, Homeodomain Protein, Single Nucleotide, Guanine Nucleotide Exchange Factor, medicine.disease, Neuroticism, Biobank, Mood, Cell Adhesion Molecule, Anxiety, medicine.symptom, Anxiety Disorder, Human
Abstract: Funder: Kennedy Trust Rheumatology Research Prize Studentship, Funder: DFG Cluster of Excellence ��Precision Medicine in Chronic In-flammation�� (PMI; ID: EXC2167), Funder: EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: ��Ideas�� Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)); doi: https://doi.org/10.13039/100011199; Grant(s): 715772, Funder: NWO-VIDI grant 016.178.056, the Netherlands Heart Foundation CVON grant 2018-27, and NWO Gravitation grant ExposomeNL, Funder: Li Ka Shing Foundation (Li Ka Shing Foundation Limited); doi: https://doi.org/10.13039/100007421, Irritable bowel syndrome (IBS) results from disordered brain��gut interactions. Identifying susceptibility genes could highlight the underlying pathophysiological mechanisms. We designed a digestive health questionnaire for UK Biobank and combined identified cases with IBS with independent cohorts. We conducted a genome-wide association study with 53,400 cases and 433,201 controls and replicated significant associations in a 23andMe panel (205,252 cases and 1,384,055 controls). Our study identified and confirmed six genetic susceptibility loci for IBS. Implicated genes included NCAM1, CADM2, PHF2/FAM120A, DOCK9, CKAP2/TPTE2P3 and BAG6. The first four are associated with mood and anxiety disorders, expressed in the nervous system, or both. Mirroring this, we also found strong genome-wide correlation between the risk of IBS and anxiety, neuroticism and depression (rg > 0.5). Additional analyses suggested this arises due to shared pathogenic pathways rather than, for example, anxiety causing abdominal symptoms. Implicated mechanisms require further exploration to help understand the altered brain��gut interactions underlying IBS.
Published: 2021

2. Tylenol or acetaminophen: a recurrent fixed drug eruption perpetuated through the use of inconsistent drug terminology

Author: Jadry A Gruen, Daniel G. Federman, and Naseema Merchant
Subjects: Aged, 80 and over, Male, Pediatrics, medicine.medical_specialty, business.industry, Codeine, Medical record, Pharmacist, Pain, Nonprescription Drugs, General Medicine, medicine.disease, Rash, Drug eruption, Acetaminophen, Knee pain, medicine, Humans, Drug Eruptions, medicine.symptom, business, medicine.drug, Lozenge
Abstract: An 87-year-old man with a history of osteoarthritis presented with worsening knee pain. He was prescribed acetaminophen with codeine. A few days later, he developed a rash on his right buttock and proximal thigh, similar to a rash he experienced in the past when he took over-the-counter (OTC) acetamenophen and an unknown lozenge to treat a presumed viral illness. A fixed drug eruption (FDE) was diagnosed and the patient was asked to avoid Tylenol and other OTC lozenges. Tylenol was entered as an allergy in the electronic medical records. However, since Tylenol, not acetaminophen was listed in the allergy profile, the order for acetaminophen and codeine did not generate an alert for the prescribing physician. Additionally, the dispensing pharmacist did not question the prescribing physician and the patient, unaware that acetaminophen in the pain medication is the same drug as Tylenol, took it and developed recurrent FDE.
Published: 2023

3. Neonatal meningitis: giant enemy of the little brain

Author: Nazakat Merchant and Lipi Shekhar
Subjects: medicine.medical_specialty, medicine.drug_class, business.industry, Treatment duration, Antibiotics, medicine.disease, Neonatal meningitis, Diagnostic modalities, Neuroimaging, Outcome predictor, Pediatrics, Perinatology and Child Health, medicine, Mri brain, Intensive care medicine, business, Meningitis
Abstract: Neonatal meningitis can be devastating for the developing brain. Over decades, mortality has been reduced with better diagnostic modalities and early use of antibiotics. However, the long-term outcome is still poor for many babies. Pathogens causing meningitis include the most common bacteria to some rare viral or fungal entities. Early suspicion and prompt treatment are our best weapons against this old enemy. Treatment duration varies depending upon the pathogen and clinical response. Neuroimaging plays an important role in prognosis and MRI brain is emerging as an excellent outcome predictor. Prevention or very early treatment, by implementing holistic care to neonates and pregnant mothers and identifying the risk factors as early as possible, is essential to improve outcomes. This short article provides an overview of neonatal meningitis and discusses the recommendations for diagnosis and treatment offered in some of the evidence-based clinical practice guidelines used in higher income countries.
Published: 2022

4. Management of a complete hydatidiform mole with a coexisting live fetus followed by successful treatment of maternal metastatic gestational trophoblastic disease: learning points

Author: Swee Lin Yip, Khurshid Merchant, and Zhun Wei Mok
Subjects: Adult, Male, medicine.medical_specialty, Down syndrome, Antimetabolites, Antineoplastic, Lung Neoplasms, medicine.medical_treatment, Case Report, 03 medical and health sciences, 0302 clinical medicine, Obstetrics and gynaecology, Breech presentation, Pregnancy, Placenta, medicine, Humans, Gestational Trophoblastic Disease, reproductive and urinary physiology, Chemotherapy, 030219 obstetrics & reproductive medicine, Obstetrics, Gestational trophoblastic disease, business.industry, Infant, Newborn, General Medicine, Hydatidiform Mole, medicine.disease, medicine.anatomical_structure, Methotrexate, 030220 oncology & carcinogenesis, Uterine Neoplasms, Female, business, medicine.drug
Abstract: A 34-year-old patient had her first trimester Down syndrome scan followed by serial ultrasound scans which showed a single intrauterine pregnancy with multiple cystic areas in the anterior placenta. She presented in preterm labour with a breech presentation at 32 weeks and underwent an emergency caesarean section. She delivered a male infant weighing 1750 g. The placental histopathology showed a complete hyatidiform mole. At 4 weeks postpartum, beta-human chorionic gonadotrophin (Bhcg) levels rose from 460 to 836 mIU/mL over 1 week. Metastatic workup revealed prominent pelvic nodes and pulmonary nodules in both lungs. This was discussed at the Multi-Disciplinary Tumour Board and single-agent intramuscular methotrexate was recommended. After chemotherapy, she achieved Bhcg normalisation after three cycles. This case highlights the importance of clinical vigilance even in low-risk patients. Unexpected findings on ultrasound should involve multidisciplinary input with radiology colleagues. A high index of suspicion for gestational trophoblastic disease and close follow-up is imperative.
Published: 2023

5. Racial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing

Author: Heather Brom, Douglas M. Sloane, Matthew D. McHugh, J. Margo Brooks Carthon, Linda H. Aiken, Robert A. Berg, Raina M. Merchant, Marguerite Daus, and Rachel French
Subjects: Male, medicine.medical_specialty, Stroke patient, Staffing, Personnel Staffing and Scheduling, Patient characteristics, Logistic regression, Patient Readmission, California, Article, Odds, Medicine, Humans, Stroke, General Nursing, Acute stroke, Aged, New Jersey, business.industry, Nurse staffing, Racial Groups, Middle Aged, Pennsylvania, medicine.disease, Hospitals, Race Factors, Cross-Sectional Studies, Emergency medicine, Florida, Female, business
Abstract: BACKGROUND: Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse post-stroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels. OBJECTIVES: To determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels. METHODS: We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7-day and 30-day all-cause readmissions for Black and White ischemic stroke patients. RESULTS: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30-day and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (< 3 patients per nurse), Black and White stroke patients’ disparities were no longer significant. DISCUSSION: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.
Published: 2023

6. Health‐related quality of life, obesity, fragmented sleep, fatigue, and psychosocial problems among youth with craniopharyngioma

Author: Valerie McLaughlin Crabtree, Kristoffer S. Berlin, Kimberly L. Klages, Jessica L Cook, Merrill S. Wise, Thomas E. Merchant, Heather M. Conklin, and Belinda N. Mandrell
Subjects: Male, medicine.medical_specialty, Adolescent, Psychological intervention, Excessive daytime sleepiness, Experimental and Cognitive Psychology, Disorders of Excessive Somnolence, Craniopharyngioma, Quality of life, Weight loss, medicine, Humans, Pituitary Neoplasms, Obesity, Child, Fatigue, business.industry, Actigraphy, medicine.disease, Psychiatry and Mental health, Oncology, Child, Preschool, Quality of Life, Physical therapy, Female, Hypothalamic Neoplasms, medicine.symptom, Sleep, business, Body mass index, Psychosocial
Abstract: OBJECTIVE Youth with craniopharyngioma experience weight gain, fragmented sleep, excessive daytime sleepiness (EDS), fatigue, and psychosocial problems that negatively impact their overall health-related quality of life (HRQoL). Greater hypothalamic tumor involvement (HI) may be associated with higher rates or severity of these impairments; however, the direct and indirect impact of HI on the physical and psychosocial consequences associated with pediatric craniopharyngioma remain unclear. The purpose of the current study was to examine relations between HI, body mass index (BMI), fragmented sleep, EDS, fatigue, psychosocial problems, and HRQoL among youth with craniopharyngioma. METHODS Eighty-four youth with craniopharyngioma (Mage = 10.27 ± 4.3 years, 53.6% female, 64.3% White) were assessed with actigraphy, nocturnal polysomnography, and multiple sleep latency tests prior to proton therapy, when indicated. Caregivers completed measures of fatigue, psychosocial functioning, and HRQoL. RESULTS Hypothalamic tumor involvement was associated with greater BMI (Est. = 2.97, p = 0.003) and daytime sleepiness (Est. = 2.53, p = 0.01). Greater fatigue predicted more psychosocial problems (Est. = 0.29, p
Published: 2021

7. Proteomics and metabolic phenotyping define principal roles for the aryl hydrocarbon receptor in mouse liver

Author: Banrida Wahlang, Monika Thapa, Michael L. Merchant, Jian Jin, Sudhir Srivastava, Josiah E. Hardesty, Russell A. Prough, Shesh N. Rai, Matthew C. Cave, and Kimberly Z. Head
Subjects: WT, wild type, TAT, tyrosine aminotransferase, PCB126, AHR, IGF1, insulin-like growth factor 1, PCB, polychlorinated biphenyl, Blood lipids, FGF21, fibroblast growth factor 21, miR, microRNA, Pheromones, AHR, aryl hydrocarbon receptor, AUC, area under the curve, Liver disease, HFD, high fat diet, AST, aspartate transaminase, LDL, low-density lipoprotein, VLDL, very low-density lipoprotein, Environmental liver disease, General Pharmacology, Toxicology and Pharmaceutics, Receptor, MUP, major urinary protein, ANOVA, analysis of variance, NFKBIA, nuclear factor kappa-inhibitor alpha, PNPLA3, patatin-like phospholipase domain-containing protein 3, biology, ZFP125, zinc finger protein 125, PXR, pregnane-xenobiotic receptor, MCP-1, monocyte chemoattractant protein-1, respiratory system, EPF, enrichment by protein function, IL-6, interleukin 6, nHDLc, non-HDL cholesterol, IPF, interaction by protein function, PAI-1, plasminogen activator inhibitor-1, PLIN2, perilipin-2, Proteome, CYP, cytochrome P450, Original Article, CAR, constitutive androstane receptor, SGK1, serum/glucocorticoid regulated kinase, NAFLD, non-alcoholic fatty liver disease, medicine.medical_specialty, FDR, false discovery rate, ALT, alanine transaminase, Endocrine disruption, HDL, high-density lipoprotein, H&E, hematoxylin-eosin, RM1-950, CD36, cluster of differentiation 36, Perilipin-2, Internal medicine, medicine, Nonalcoholic fatty liver disease, Pheromone binding, GO, gene ontology, TASH, toxicant-associated steatohepatitis, PPARα, peroxisome proliferator-activated receptor alpha, TAFLD, toxicant-associated fatty liver disease, TMT, tandem mass tag, medicine.disease, Aryl hydrocarbon receptor, Insulin receptor, Endocrinology, biology.protein, GCR, glucocorticoid receptor, Therapeutics. Pharmacology, Steatosis
Abstract: Dioxin-like molecules have been associated with endocrine disruption and liver disease. To better understand aryl hydrocarbon receptor (AHR) biology, metabolic phenotyping and liver proteomics were performed in mice following ligand-activation or whole-body genetic ablation of this receptor. Male wild type (WT) and Ahr–/– mice (Taconic) were fed a control diet and exposed to 3,3′,4,4′,5-pentachlorobiphenyl (PCB126) (61 nmol/kg by gavage) or vehicle for two weeks. PCB126 increased expression of canonical AHR targets (Cyp1a1 and Cyp1a2) in WT but not Ahr–/–. Knockouts had increased adiposity with decreased glucose tolerance; smaller livers with increased steatosis and perilipin-2; and paradoxically decreased blood lipids. PCB126 was associated with increased hepatic triglycerides in Ahr–/–. The liver proteome was impacted more so by Ahr–/– genotype than ligand-activation, but top gene ontology (GO) processes were similar. The PCB126-associated liver proteome was Ahr-dependent. Ahr principally regulated liver metabolism (e.g., lipids, xenobiotics, organic acids) and bioenergetics, but it also impacted liver endocrine response (e.g., the insulin receptor) and function, including the production of steroids, hepatokines, and pheromone binding proteins. These effects could have been indirectly mediated by interacting transcription factors or microRNAs. The biologic roles of the AHR and its ligands warrant more research in liver metabolic health and disease., Graphical abstract The aryl hydrocarbon receptor regulated liver metabolism and endocrine function impacting systemic energy homeostasis and body composition. This regulation appeared to involve both direct and indirect mechanisms.Image 1
Published: 2021

8. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI

Author: Ramon Diaz-Arrastia, Thomas W. McAllister, Joel H. Kramer, Brandon Foreman, Alex B. Valadka, Dana Pisică, Sureyya Dikmen, Randall Merchant, Adam R. Ferguson, C. Dirk Keene, Raquel C. Gardner, Xiaoying Sun, Geoffrey T. Manley, Arthur W. Toga, Yelena G. Bodien, John D. Corrigan, Andrew I R Maas, Joseph T. Giacino, Christopher J. Madden, Pratik Mukherjee, Florence Noel, Claudia S. Robertson, Amber Nolan, Ross Zafonte, Murray B. Stein, Hester F. Lingsma, Nancy R. Temkin, Natalie Kreitzer, Opeolu Adeoye, J. Claude Hemphill, Rao P. Gullapalli, Kim Boase, Jan Verheyden, Luis Gonzalez, Laura B. Ngwenya, Christopher J. Lindsell, Miri Rabinowitz, Michael McCrea, Gillian Hotz, Jonathan Rosand, Shankar P. Gopinath, Harvey S. Levin, David M. Schnyer, Neeraj Badjatia, Ann-Christine Duhaime, Esther L. Yuh, Angelle M. Sander, Sabrina R Taylor, Étienne Gaudette, Eva M. Palacios, Gabriella Satris, Alastair J. Martin, David O. Okonkwo, Seth A. Seabury, Joan Machamer, Karen Crawford, Amy J. Markowitz, Richard G. Ellenbogen, V. Ramana Feeser, Lindsay D. Nelson, Mark Harris, Daniel P. Perl, Mary J. Vassar, Sonia Jain, Ragauskas, Arminas, Rocka, Saulius, Tamosuitis, Tomas, Vilcinis, Rimantas, American Medical Association, Yuh, E. L., Jain, S., Sun, X., Pisica, D., Harris, M. H., Taylor, S. R., Markowitz, A. J., Mukherjee, P., Verheyden, J., Giacino, J. T., Levin, H. S., Mccrea, M., Stein, M. B., Temkin, N. R., Diaz-Arrastia, R., Robertson, C. S., Lingsma, H. F., Okonkwo, D. O., Maas, A. I. R., Manley, G. T., Adeoye, O., Badjatia, N., Boase, K., Bodien, Y., Corrigan, J. D., Crawford, K., Dikmen, S., Duhaime, A. -C., Ellenbogen, R., Feeser, V. R., Ferguson, A. R., Foreman, B., Gardner, R., Gaudette, E., Gonzalez, L., Gopinath, S., Gullapalli, R., Hemphill, J. C., Hotz, G., Keene, C. D., Kramer, J., Kreitzer, N., Lindsell, C., Machamer, J., Madden, C., Martin, A., Mcallister, T., Merchant, R., Nelson, L., Ngwenya, L. B., Noel, F., Nolan, A., Palacios, E., Perl, D., Rabinowitz, M., Rosand, J., Sander, A., Satris, G., Schnyer, D., Seabury, S., Toga, A., Valadka, A., Vassar, M., Zafonte R., (TRACK-TBI Investigators for the CENTER-TBI Investigators), Beretta, L., Section Neuropsychology, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: FPN NPPP I, Yuh, E, Jain, S, Sun, X, Pisica, D, Harris, M, Taylor, S, Markowitz, A, Mukherjee, P, Verheyden, J, Giacino, J, Levin, H, Mccrea, M, Stein, M, Temkin, N, Diaz-Arrastia, R, Robertson, C, Lingsma, H, Okonkwo, D, Maas, A, Manley, G, Adeoye, O, Badjatia, N, Boase, K, Bodien, Y, Corrigan, J, Crawford, K, Dikmen, S, Duhaime, A, Ellenbogen, R, Feeser, V, Ferguson, A, Foreman, B, Gardner, R, Gaudette, E, Gonzalez, L, Gopinath, S, Gullapalli, R, Hemphill, J, Hotz, G, Keene, C, Kramer, J, Kreitzer, N, Lindsell, C, Machamer, J, Madden, C, Martin, A, Mcallister, T, Merchant, R, Nelson, L, Ngwenya, L, Noel, F, Nolan, A, Palacios, E, Perl, D, Rabinowitz, M, Rosand, J, Sander, A, Satris, G, Schnyer, D, Seabury, S, Toga, A, Valadka, A, Vassar, M, Zafonte, R, Citerio, G, Public Health, Neurosurgery, Molecular Neuroscience and Ageing Research (MOLAR), and TRACK-TBI Investigators for the CENTER-TBI Investigators
Subjects: Male, validity, Neurology, Neurologi, common data elements, ethnic disparities, Cohort Studies, 0302 clinical medicine, Tomography, Original Investigation, screening and diagnosis, nrecovery, Injuries and accidents, RECOVERY, Middle Aged, Prognosis, 3. Good health, X-Ray Computed, Detection, classification, 030220 oncology & carcinogenesis, TRACK-TBI Investigators for the CENTER-TBI Investigators, Biomedical Imaging, Female, Cognitive Sciences, Radiology, Intracranial Hemorrhages, Comments, Human, 4.2 Evaluation of markers and technologies, Adult, concussio, medicine.medical_specialty, Subarachnoid hemorrhage, Physical Injury - Accidents and Adverse Effects, Prognosi, Traumatic brain injury, Clinical Sciences, Traumatic Brain Injury (TBI), CONCUSSION, Head trauma, scale, models, 03 medical and health sciences, Epidural hematoma, Hematoma, Clinical Research, medicine, Online First, Humans, Brain Concussion, Traumatic Head and Spine Injury, Intracranial Hemorrhage, Aged, Neurology & Neurosurgery, business.industry, Research, Glasgow Coma Scale, Neurosciences, prediction, Petechial rash, Recovery of Function, medicine.disease, Brain Disorders, Good Health and Well Being, identification, Human medicine, Neurology (clinical), Cohort Studie, Tomography, X-Ray Computed, business, 030217 neurology & neurosurgery
Abstract: Key Points Question Are different patterns of intracranial injury on head computed tomography associated with prognosis after mild traumatic brain injury (mTBI)? Findings In this cohort study, subarachnoid hemorrhage, subdural hematoma, and contusion often co-occurred and were associated with both incomplete recovery and more severe impairment out to 12 months after injury, while intraventricular and/or petechial hemorrhage co-occurred and were associated with more severe impairment up to 12 months after injury; epidural hematoma was associated with incomplete recovery at some points but not with more severe impairment. Some intracranial hemorrhage patterns were more strongly associated with outcomes than previously validated demographic and clinical variables. Meaning In this study, different pathological features on head computed tomography carried different implications for mild traumatic brain injury prognosis to 1 year., The longitudinal, observational study aims to identify pathological computed tomography features associated with adverse outcomes after mild traumatic brain injury., Importance A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale–Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures Acute nonpenetrating head trauma. Main Outcomes and Measures Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores
Published: 2021

9. Translating Phenomenology of Psychogenic Nonepileptic Seizures Into Nosology

Author: Nicholas J. Janocko, Hannah K. Villarreal, Andres A Rodriguez-Ruiz, Daniel L. Drane, Matthew L. Morton, Shanaz Merchant, Ioannis Karakis, Diane L. Teagarden, Ndubuisi Ahuruonye, and Olivia Groover
Subjects: Nosology, medicine.medical_specialty, Epilepsy, business.industry, Psychogenic Nonepileptic Seizures, Electroencephalography, medicine.disease, Caregivers, Quality of life, Seizures, Quality of Life, Humans, Medicine, Psychogenic disease, Anxiety, Age of onset, medicine.symptom, business, Psychiatry, Psychosocial, Depression (differential diagnoses)
Abstract: BACKGROUND Patients with psychogenic nonepileptic seizures (PNES) can be semiologically dichotomized into those with hyperkinetic and those with paucikinetic events. The objective of this study was to compare characteristics of patients with diverse phenomenology and their caregivers to evaluate for differences that could inform about disease nosology. METHODS Patients and caregivers monitored at the Epilepsy Monitoring Unit completed surveys about sociodemographic and disease characteristics, treatment and health care utilization, physical and psychosocial impact, and epilepsy knowledge. Patients were classified into hyperkinetic versus paucikinetic based on their recorded events. Comparison of the 2 populations was performed using Student t test for continuous variables and Fischer exact test for categorical variables. RESULTS Forty-three patients with Epilepsy Monitoring Unit confirmed PNES and 28 caregivers were enrolled. Patients with hyperkinetic events were more commonly non-White patients and necessitated greater caregiving time. Otherwise, no statistically significant differences were seen between the 2 semiologically diverse groups of patients and caregivers in their sociodemographic (age, sex, employment, income, marital, and education) and disease (age of onset, duration, seizures frequency) characteristics, treatment (number of antiseizure medications before diagnosis, side effects) and health care utilization (emergency room visits, hospitalizations, clinic visits), physical (injuries) and psychosocial (depression, anxiety, quality of life, stigma, burden) characteristics, nor in their knowledge about seizures. CONCLUSIONS Hyperkinetic events were more frequently encountered in non-White patients and required more caregiving time. Further research is required to elucidate if phenomenological dichotomy of PNES can inform about their nosological basis, and if it can guide treatment and define prognosis.
Published: 2021

10. Impact of geriatric syndromes on anticoagulation prescription in older adults with atrial fibrillation

Author: Rodney Soh, Santhosh Kumar Seetharaman, Wilson Wen Bin Goh, Christopher Koo, Goy Shen, Jiayi Lim, Li Feng Tan, and Reshma A. Merchant
Subjects: Male, medicine.medical_specialty, Risk Assessment, Risk Factors, Internal medicine, Diabetes mellitus, Atrial Fibrillation, medicine, Humans, cardiovascular diseases, Renal Insufficiency, Chronic, Medical prescription, Stroke, Aged, Aged, 80 and over, Frailty, business.industry, Anticoagulants, Atrial fibrillation, Syndrome, General Medicine, medicine.disease, Prescriptions, Heart failure, Hypertension, Cardiology, Female, business
Abstract: Atrial fibrillation (AF) is common in older adults. CHA2DS2-VASC (congestive heart failure, hypertension, age ≥75 (doubled), diabetes mellitus, prior stroke or transient ischemic attack (doubled), vascular disease, age 65-74, female) and HASBLED(Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile INR, Elderly, Drugs/Alcohol Concomitantly) are the most established risk stratification tools in assessing suitability for anticoagulation in AF. However, there are no established screening tools for geriatric syndromes on anticoagulation risks in older adults.This study examined the association of anticoagulation prescription with geriatric syndromes.Older adults 65 years and above admitted to a tertiary hospital with atrial fibrillation and CHA2DS2-VASC score ≥ 2. Data on demographics, function (modified Barthel's Index (MBI)), cognition (mini-cog), frailty (Edmonton Frail Scale (EFS) and FRAIL), geriatric syndromes (EFS), sarcopenia (SARC-F), HASBLED and CHA2DS2-VASC were collected.150 patients aged 65 and above (mean age 79.4 ± 7.1 years) with AF were recruited. 101 (67%) participants were anticoagulated, in univariate analysis comparing those who were anticoagulated with those who were not, age (OR 0.94; 95% CI 0.89-0.99), chronic kidney disease (OR 0.39; 95% CI 0.19-0.80), frailty (OR 0.77; 95% CI 0.60-0.98) and functional status by Barthel's Index (OR 0.75; 95% CI 0.57-0.97) were significantly associated with anticoagulation prescription. In multivariate analysis, age (OR 0.93; 95% CI 0.88-0.99) and CKD (OR 0.35; 95% CI 0.16-0.76) remained significant. There was no significant difference in CHA2DS2-VASC, HASBLED, MBI or falls between the groups.Age and CKD were significantly associated with anticoagulation prescription in patients with AF. Further studies on the impact of geriatric syndromes on anticoagulation prescription and outcomes in older adults are needed with specific guidelines for patients with geriatric syndromes and AF.
Published: 2021

11. Longitudinal SARS-CoV-2 mRNA Vaccine-Induced Humoral Immune Responses in Patients with Cancer

Author: Kimia Sobhani, Jennifer E. Van Eyk, James L. Stewart, Warren G. Tourtellotte, Justin Darrah, Joslyn Foley, Wendy Cozen, Karen L. Reckamp, Susan Cheng, Alain C. Mita, So Yung Choi, Carissa A. Huynh, Noah Merin, Sandy Joung, Tucker Lemos, Robert Vescio, Ronald Paquette, Dermot P.B. McGovern, Edwin C. Frias, John Prostko, Omid Hamid, Joseph E. Ebinger, Emebet Mengesha, Reva Basho, Greg Botwin, Jun Gong, Nathalie Nguyen, Jonathan Braun, Inderjit Mehmi, Jane C. Figueiredo, Akil Merchant, Gil Y. Melmed, and Laurel J Finster
Subjects: Adult, Male, Cancer Research, Time Factors, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Antibodies, Viral, Article, Immune system, Neoplasms, Surveys and Questionnaires, Humans, Medicine, Longitudinal Studies, Prospective Studies, Prospective cohort study, BNT162 Vaccine, Aged, Messenger RNA, biology, Immunization Programs, SARS-CoV-2, business.industry, Vaccination, COVID-19, Cancer, Middle Aged, medicine.disease, Immunity, Humoral, Oncology, Immunoglobulin G, Immunology, biology.protein, Female, Antibody, business, 2019-nCoV Vaccine mRNA-1273
Abstract: Longitudinal studies of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine-induced immune responses in patients with cancer are needed to optimize clinical care. In a prospective cohort study of 366 (291 vaccinated) patients, we measured antibody levels [anti-spike (IgG-(S-RBD) and anti-nucleocapsid immunoglobulin] at three time points. Antibody level trajectories and frequency of breakthrough infections were evaluated by tumor type and timing of treatment relative to vaccination. IgG-(S-RBD) at peak response (median = 42 days after dose 2) was higher (P = 0.002) and remained higher after 4 to 6 months (P = 0.003) in patients receiving mRNA-1273 compared with BNT162b2. Patients with solid tumors attained higher peak levels (P = 0.001) and sustained levels after 4 to 6 months (P < 0.001) compared with those with hematologic malignancies. B-cell targeted treatment reduced peak (P = 0.001) and sustained antibody responses (P = 0.003). Solid tumor patients receiving immune checkpoint inhibitors before vaccination had lower sustained antibody levels than those who received treatment after vaccination (P = 0.043). Two (0.69%) vaccinated and one (1.9%) unvaccinated patient had severe COVID-19 illness during follow-up. Our study shows variation in sustained antibody responses across cancer populations receiving various therapeutic modalities, with important implications for vaccine booster timing and patient selection. Significance: Long-term studies of immunogenicity of SARS-CoV-2 vaccines in patients with cancer are needed to inform evidence-based guidelines for booster vaccinations and to tailor sequence and timing of vaccinations to elicit improved humoral responses.
Published: 2021

12. Plasma Glucosylsphingosine in <scp> GBA1 </scp> Mutation Carriers with and without Parkinson's Disease

Author: Roy N. Alcalay, Manisha Balwani, Shalini Padmanabhan, Linxia Song, Kalpana Merchant, Karen Marder, Alexander Haimovich, Tammy Hsieh, Matthew Surface, Frank Hsieh, Ziv Gan-Or, and Cheryl Waters
Subjects: medicine.medical_specialty, Mutation, Disease status, Parkinson's disease, business.industry, Heterozygote advantage, Disease, medicine.disease, medicine.disease_cause, Endocrinology, Neurology, Internal medicine, Lipidomics, medicine, Biomarker (medicine), Neurology (clinical), business, Glucocerebrosidase
Abstract: Background Biallelic mutations in the GBA1 gene encoding glucocerebrosidase cause Gaucher's disease, whereas heterozygous carriers are at risk for Parkinson's disease (PD). Glucosylsphingosine is a clinically meaningful biomarker of Gaucher's disease but could not be assayed previously in heterozygous GBA1 carriers. Objective The aim of this study was to assess plasma glucosylsphingosine levels in GBA1 N370S carriers with and without PD. Methods Glucosylsphingosine, glucosylceramide, and four other lipids were quantified in plasma from N370S heterozygotes with (n = 20) or without (n = 20) PD, healthy controls (n = 20), idiopathic PD (n = 20), and four N370S homozygotes (positive controls; Gaucher's/PD) using quantitative ultra-performance liquid chromatography tandem mass spectrometry. Results Plasma glucosylsphingosine was significantly higher in N370S heterozygotes compared with noncarriers, independent of disease status. As expected, Gaucher's/PD cases showed increases in both glucocerebrosidase substrates, glucosylsphingosine and glucosylceramide. Conclusions Plasma glucosylsphingosine accumulation in N370S heterozygotes shown in this study opens up its future assessment as a clinically meaningful biomarker of GBA1-PD. © 2021 International Parkinson and Movement Disorder Society.
Published: 2021

13. Leptospirosis infections among hospital patients, Sarawak, Malaysia

Author: James A. Merchant, King-Ching Hii, Natalie A. Alarja, Diego Galan, Michael J. Gregory, Antoinette Berita, Gregory C. Gray, Izreena Saihidi, Vanina Guernier-Cambert, Emily R. Robie, Johnny Keh-Tun Goh, Raquel A. Binder, and Leshan Xiu
Subjects: medicine.medical_specialty, Rapid diagnostic test, biology, business.industry, Research, RC955-962, Public Health, Environmental and Occupational Health, Prevalence, Malaysia, Sarawak, biology.organism_classification, medicine.disease, Leptospirosis, Serology, Infectious Diseases, Leptospira, Internal medicine, Arctic medicine. Tropical medicine, medicine, Population study, Risk factor, business, Leptospira interrogans, Diagnostics
Abstract: Background Leptospirosis diagnoses have increased in Sarawak, Malaysia in recent years. Methods To better understand the burden of disease and associated risk factors, we evaluated 147 patients presenting with clinical leptospirosis to local hospitals in Sarawak, Malaysia for the presence of Leptospira and associated antibodies. Sera and urine specimens collected during the acute illness phase were assessed via a commercially available rapid diagnostic test (Leptorapide, Linnodee Ltd., Antrim, Northern Ireland), an ELISA IgM assay (Leptospira IgM ELISA, PanBio, Queensland, Australia) and a pan-Leptospira real-time PCR (qPCR) assay to estimate disease prevalence and diagnostic accuracy of each method. Microagglutination testing was performed on a subset of samples. Results Overall, 45 out of 147 patients (30.6%) showed evidence of leptospires through qPCR in either one or both sera (20 patients) or urine (33 patients), and an additional ten (6.8%) were considered positive through serological testing, for an overall prevalence of 37.4% within the study population. However, each diagnostic method individually yielded disparate prevalence estimates: rapid test 42.2% for sera and 30.5% for urine, ELISA 15.0% for sera, qPCR 13.8% for sera and 23.4% for urine. Molecular characterization of a subset of positive samples by conventional PCR identified the bacterial species as Leptospira interrogans in 4 specimens. A multivariate risk factor analysis for the outcome of leptospirosis identified having completed primary school (OR = 2.5; 95 CI% 1.0–6.4) and weekly clothes-washing in local rivers (OR = 10.6; 95 CI% 1.4–214.8) with increased likelihood of leptospirosis when compared with those who had not. Conclusion Overall, the data suggest a relatively high prevalence of leptospirosis in the study population. The low sensitivities of the rapid diagnostic test and ELISA assay against qPCR highlight a need for better screening tools.
Published: 2021

14. Report of Canonical BCR-ABL1 Fusion in Glioblastoma

Author: Rosandra N. Kaplan, Olga Kim, Alice Ranjan, Martha Quezado, Jing Wu, Mythili Merchant, Liqiang Xi, Guangyang Yu, Megan Mackey, Kevin Camphausen, Matthias Holdhoff, Young K. Song, Zied Abdullaev, Kenneth Aldape, Kareem A. Zaghloul, David O. Kamson, Jun Wei, Terri S. Armstrong, Javed Khan, Sivasish Sindiri, Xinyu Wen, Ying Pang, Mark R. Gilbert, Svetlana Pack, Lisa Boris, Madison Butler, Ramya Antony, Orwa Aboud, and Hsien-Chao Chou
Subjects: Cancer Research, Bcr abl1, Fusion, Oncology, business.industry, medicine, Cancer research, Case Reports, medicine.disease, business, Glioblastoma
Published: 2021

15. Socioeconomic risk factors for mortality and readmission after surgery for bowel obstruction: An analysis of the Nationwide Readmissions Database

Author: Pavel Zagadailov, Amber L. Turner, Supreet Singh, and Aziz M. Merchant
Subjects: Male, Comorbidity, Medicare, computer.software_genre, Logistic regression, Patient Readmission, 03 medical and health sciences, High morbidity, 0302 clinical medicine, Risk Factors, Intestine, Small, Humans, Medicine, In patient, 030212 general & internal medicine, Socioeconomic status, Aged, Pelvic surgery, Surgical approach, Database, Medicaid, business.industry, General Medicine, Middle Aged, medicine.disease, United States, Bowel obstruction, Logistic Models, Databases as Topic, Socioeconomic Factors, 030220 oncology & carcinogenesis, Female, Surgery, business, computer, Intestinal Obstruction
Abstract: Background Small bowel obstructions (SBO) are one of the most common surgical emergencies, but they remain a major cause of high morbidity and mortality in patients with previous history of abdominal and pelvic surgery. Socioeconomic factors have not been extensively studied in surgical management of SBO. Methods We queried the 2016 NRD database for all surgically managed admissions ≥18 years of age with a primary diagnosis of SBO. The primary outcomes for this analysis were index admission mortality, 30-day mortality, and 30-day readmissions. Multivariate logistic regression models were utilized to examine the association between predictors and primary outcomes. Results Medicaid patients had a higher likelihood of index admission mortality. Medicare and Medicaid patients both had higher likelihoods of 30-day readmissions.results Conclusions Careful consideration should be taken before deciding the optimal surgical approach in patients with SBO. Medicaid beneficiaries and those with existing comorbidities should receive careful post-operative follow-up to ensure optimal outcomes.conclusion
Published: 2021

16. Anatomic Neuroimaging Characteristics of Posterior Fossa Type A Ependymoma Subgroups

Author: Yuxin Li, T. Patni, N. Chambwe, Noah D. Sabin, E. Anderson, Thomas E. Merchant, Ruth G. Tatevossian, Amar J. Gajjar, Paul Klimo, D. Ellison, Scott N. Hwang, and F.A. Boop
Subjects: Ependymoma, business.industry, Posterior fossa, Infratentorial Neoplasms, Neuroimaging, Anatomy, medicine.disease, Pediatrics, Magnetic Resonance Imaging, Mr imaging, Cohort Studies, Methylation profiling, medicine, Humans, Radiology, Nuclear Medicine and imaging, Tumor type, Neurology (clinical), Brainstem, business
Abstract: BACKGROUND AND PURPOSE: Posterior fossa type A (PFA) ependymomas have 2 molecular subgroups (PFA-1 and PFA-2) and 9 subtypes. Gene expression profiling suggests that PFA-1 and PFA-2 tumors have distinct developmental origins at different rostrocaudal levels of the brainstem. We, therefore, tested the hypothesis that PFA-1 and PFA-2 ependymomas have different anatomic MR imaging characteristics at presentation. MATERIALS AND METHODS: Two neuroradiologists reviewed the preoperative MR imaging examinations of 122 patients with PFA ependymomas and identified several anatomic characteristics, including extension through the fourth ventricular foramina and encasement of major arteries and tumor type (midfloor, roof, or lateral). Deoxyribonucleic acid methylation profiling assigned ependymomas to PFA-1 or PFA-2. Information on PFA subtype from an earlier study was also available for a subset of tumors. Associations between imaging variables and subgroup or subtype were evaluated. RESULTS: No anatomic imaging variable was significantly associated with the PFA subgroup, but 5 PFA-2c subtype ependymomas in the cohort had a more circumscribed appearance and showed less tendency to extend through the fourth ventricular foramina or encase blood vessels, compared with other PFA subtypes. CONCLUSIONS: PFA-1 and PFA-2 ependymomas did not have different anatomic MR imaging characteristics, and these results do not support the hypothesis that they have distinct anatomic origins. PFA-2c ependymomas appear to have a more anatomically circumscribed MR imaging appearance than the other PFA subtypes; however, this needs to be confirmed in a larger study.
Published: 2021

17. Hedgehog transcriptional effector GLI mediates mTOR-Induced PD-L1 expression in gastric cancer organoids

Author: Jennifer Hawkins, Asim Shabbir, Jiang Wang, Wei Peng Yong, Michael A. Helmrath, Juanita L. Merchant, Meaghan Torvund, Yoshiaki Ito, Vivien Koh, Jimmy Bok Yan So, Syed Ahmed, Jayati Chakrabarti, Nina Steele, and Yana Zavros
Subjects: 0301 basic medicine, Cancer Research, Transcription, Genetic, medicine.medical_treatment, P70-S6 Kinase 1, CD8-Positive T-Lymphocytes, Biology, Zinc Finger Protein GLI1, B7-H1 Antigen, Article, 03 medical and health sciences, 0302 clinical medicine, Immune system, Stomach Neoplasms, Tumor Microenvironment, Organoid, medicine, Humans, Hedgehog Proteins, Cells, Cultured, PI3K/AKT/mTOR pathway, Tumor microenvironment, Helicobacter pylori, TOR Serine-Threonine Kinases, Cancer, Immunotherapy, medicine.disease, Organoids, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Cancer cell, Cancer research, Signal Transduction, T-Lymphocytes, Cytotoxic
Abstract: OBJECTIVE: Tumors evade immune surveillance by expressing Programmed Death-Ligand 1 (PD-L1), subsequently inhibiting CD8+ cytotoxic T lymphocyte function. Response of gastric cancer to immunotherapy is relatively low. Our laboratory has reported that Helicobacter pylori-induced PD-L1 expression within the gastric epithelium is mediated by the Hedgehog (Hh) signaling pathway. The PI3K/AKT/mTOR pathway is activated in gastric cancer and may have immunomodulatory potential. We hypothesize that Hh signaling mediates mTOR-induced PD-L1 expression. DESIGN: Patient-derived organoids (PDOs) were generated from gastric biopsies and resected tumor tissues. Autologous organoid/immune cell co-cultures were used to study the immunosuppressive function of MDSCs. NanoString Digital Spatial Profiling (DSP) of immune-related protein markers using FFPE slide-mounted tissues from gastric cancer patients was performed. RESULTS: DSP analysis showed infiltration of immunosuppressive MDSCs expressing Arg1, CD66b, VISTA and IDO1 within cancer tissues. Orthotopic transplantation of patient derived organoids (PDOs) resulted in the engraftment of organoids and the development of histology similar to that observed in the patient’s tumor tissue. PDO/immune cell co-cultures revealed that PD-L1-expressing organoids were unresponsive to nivolumab in vitro in the presence of PMN-MDSCs. Depletion of PMN-MDSCs within these co-cultures sensitized the organoids to anti-PD-1/PD-L1-induced cancer cell death. Rapamycin decreased phosphorylated S6K, Gli2 and PD-L1 expression in PDO/immune cell co-cultures. Transcriptional regulation of PD-L1 by GLI1 and GLI2 was blocked by rapamycin. CONCLUSIONS: The PDO/immune cell co-cultures may be used to to study immunosuppressive MDSC function within the gastric tumor microenvironment. The mTOR signaling pathway mediates GLI-induced PD-L1 expression in gastric cancer.
Published: 2021

18. Practicality and Reliability of Self vs Administered Rapid Geriatric Assessment Mobile App

Author: Arthur Tay, Li Feng Tan, Reshma A. Merchant, Yiong Huak Chan, J Jayasundram, and N A Low
Subjects: Self-assessment, Gerontology, Sarcopenia, FRAIL, Rapid Geriatric Assessment, Medicine (miscellaneous), Anorexia, Likelihood ratios in diagnostic testing, Weight loss, Surveys and Questionnaires, eHealth, medicine, Humans, Geriatric Assessment, Pandemics, Aged, Nutrition and Dietetics, SARS-CoV-2, business.industry, COVID-19, Reproducibility of Results, mobile application, self-assessment, medicine.disease, Mobile Applications, Patient Health Questionnaire, Cross-Sectional Studies, SARC-F, Brief Reports, Observational study, Geriatrics and Gerontology, medicine.symptom, business
Abstract: Objectives To develop and cross-validate self-administered Rapid Geriatric Assessment (SA-RGA) app against administered Rapid Geriatric Assessment (A-RGA) to identify seniors with geriatric syndromes such as frailty, sarcopenia, and anorexia of ageing who may benefit from targeted intervention. Design Prospective observational study. Setting Primary Care and Community. Participants A-RGA and SA-RGA app were administered to older adults ≥ 60 years old from December 2020 to April 2021. Measurements The RGA app screens for frailty (FRAIL), sarcopenia (SARC-F), anorexia of aging (SNAQ) and cognition (Rapid Cognitive Screen) with assisted management pathway. Patient Health Questionnaire 9 is administered for those who score positive for fatigue. The diagnostic performance of SA-RGA was compared against A-RGA as a reference by calculating the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) and positive likelihood ratio (+LR). Results 123 participants with a mean age of 71 ± 5.9 years completed both the SA-RGA and A-RGA. Questions on fatigue, 5 or more illnesses, loss of weight and falls in the past year performed better with high sensitivity, specificity, NPV and +LR than self-functional assessment where SA-RGA participants reported lower prevalence on the FRAIL scale aerobic and resistance components, and higher prevalence on the SARC-F strength and rising from a chair components. Conclusion The SA-RGA app performed well in certain domains such as assessment for weight loss, falls, number of chronic illness and fatigue. Self-functional assessment can be improved further by removing ambiguity in wordings such as “some” or “a lot” and replacing it with functional difficulty scale. SA-RGA has the potential to be incorporated in the eHEALTH platforms worldwide for early identifications of older adults at risk and to reduce health inequalities, at the same time building community resilience in the era of Covid-19 pandemic.
Published: 2021

19. Association of Pain and Impact of Dual-Task Exercise on Function, Cognition and Quality of Life

Author: J Nathania, Reshma A Merchant, Shu Ee Ng, Santhosh Kumar Seetharaman, G C-H Koh, Jia Yi Lim, and Lydia Shu Yi Au
Subjects: medicine.medical_specialty, Nutrition and Dietetics, Frailty, business.industry, Pain, Medicine (miscellaneous), Secondary data, Cognition, Pain management, Vitality, medicine.disease, Quality of life, Sarcopenia, Quality of Life, Physical therapy, Humans, Medicine, Prospective Studies, Geriatrics and Gerontology, business, Association (psychology), Depression (differential diagnoses), Aged
Abstract: This study aimed to assess the factors associated with pain and evaluate the impact of dual-task exercise on pain improvement, quality of life (QOL), cognition and function in older adults. This study is a secondary data analysis of the HAPPY (Healthy Ageing Promotion Program for You) study. At risk older adults ≥ 60 years old were enrolled in a community dual-task exercise program. Assessments for frailty, sarcopenia, falls, quality of life (QOL) and perceived health, depression, cognition and physical function were performed at baseline and 3 months. Pain intensity was derived from EQ-5D and stratified into no pain, slight pain and moderate to extreme pain. Out of 296 participants, 37.2% had slight pain and 11.1% had moderate to severe pain. Both slight and moderate to extreme pain compared with no pain group were significantly associated with lower perceived health (68.2,63.6 vs 76.0) and QOL index (0.70,0.59 vs 0.93); moderate to extreme pain was also significantly associated with depression, low mental vitality, frailty, sarcopenia and poorer physical performance. After 3 months of dual-task exercise, pain improved in 70.8% of the moderate to extreme pain group and 50.8% of slight pain group. Significant improvement in perceived health, QOL, physical function and cognition were also observed. Proactive efforts are required to screen for pain and manage frailty, sarcopenia and depression. Dual-task exercise proved safe and possibly effective in reducing pain and improving QOL, physical and cognitive function in older adults. Prospective randomized studies are needed to validate the effectiveness of dual-task vs single-task exercise, including impact of reversal of frailty and sarcopenia in pain management.
Published: 2021

20. Collagen Remodeling Biomarkers in Lupus Nephritis

Author: Michael L. Merchant and Dawn J. Caster
Subjects: Thin basement membrane disease, Pathology, medicine.medical_specialty, business.industry, Glomerular basement membrane, Lupus nephritis, General Medicine, Kidney, urologic and male genital diseases, medicine.disease, Lupus Nephritis, Extracellular matrix, Type IV collagen, Editorial, medicine.anatomical_structure, Collagen VI, medicine, Renal fibrosis, Humans, Nephritis, Interstitial, Collagen, Alport syndrome, business, Biomarkers
Abstract: The extracellular matrix (ECM) is a complex network of collagens, elastin, and interconnecting glycoproteins and proteoglycans that surround cells and provide structural support. The ECM is a dynamic structure, undergoing constant remodeling, and providing services beyond a simple barrier or scaffold (1). Recent studies have demonstrated that the ECM and the broad complement of interacting proteins ( e.g. the matrisome) play significant roles in inflammation and cell-to-cell interactions (2). Low-grade inflammation, a common feature of many kidney diseases, often contributes to aberrant ECM deposition and fibrosis. Significantly, renal fibrosis is a hallmark of renal dysfunction progression and CKD, leading to end-organ failure. Many of the proteins making up the renal ECM are spatially resolved into the glomerular (glomerular basement membrane, the mesangial matrix, and Bowman’s capsule) and tubulointerstitial (tubular basement membranes, tubular capillaries, and interstitial space) compartments. The most abundant proteins in the ECM are collagens, accounting for almost one third of ECM proteins (3). Type IV collagen is the most well described ECM protein in terms of kidney disease. Type IV collagen has six alpha chains that form three different trimer combinations, and the α3.α4.α5 heterotrimer is the most predominant in the glomerular basement membrane (3). Mutations in COL4A3 , COL4A4 , or COL4A5 genes are associated with Alport Syndrome, thin basement membrane disease, and familial FSGS (4,5). Proteomic analysis has identified collagens I, III, VI, VII, XII, XV, and XVIII within the glomerular ECM (6,7). Collagens I, II, III, V, VI, VII, and XV are normally expressed in the tubulointerstitium and increased expression have been associated with fibrosis (3). A recent proteomic analysis of kidneys across different age groups demonstrated consistent increases in collagen VI with aging kidneys (8). Lupus nephritis (LN) is one of the most serious complications of systemic lupus erythematosus (SLE), …
Published: 2021

21. SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study

Author: 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, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead‐kendall, Brittany, Breen, Kerry, Mashbari, Hassan, Cal, Fernando Bonilla, Al‐naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Akhbari, Melika, Benson, Ruth, Bhanderi, Shivam, Biccard, Bruce, Caruana, Edward, Chakrabortee, Sohini, Chapatwala, Reema, Costas‐chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, James, Harelimana Grace, Griffiths, Ewen, Gronchi, Alessandro, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk‐iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, Mckay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vaughan‐shaw, Peter, Vidya, Raghavan, Wright, Naomi, Zimmelman, Natalie, Agastra, Ervis, Thereska, Dariel, Lucchini, Sergio Martin, Laudani, Veronica, Chwat, Carina, Salazar, Ivana Ines Pedraza, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Arancibia, José Alfredo Calderón, D’Aulerio, Giuliana, Dudi‐venkata, Nagendra, Egoroff, Natasha, Farik, Shebani, Lott, Natalie, Moss, Jana‐lee, Rennie, Sarah, Tan, Lorwai, Uyen Giao, Vo, Watson, David, Watters, David, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Mitul, Ashrarur Rahman, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Smèvo Romaric, Barros, Aldo Vieira, Júnior, Samuel Aguiar, Amaral Campos, Heloisa Galvão, Gross, Jefferson, Coimbra, Felipe José Fernandez, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Neto, Joao Pedreira Duprat, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St‐germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, Mackenzie, Shawn, Flexman, Alana, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Saenz, Dinimo Bolivar, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Alonso, Nestor Fabian Pedraza, Silva, Camilo Ortiz, Rodriguez, Juliana, Silva‐igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Calvache, Albaro José Nieto, Balanta‐melo, Julián, Figueroa‐casanova, Rafael, García‐montoya, Oscar‐julián, Toro, Carlos Andres Marulanda, Botero, Marcela Velez, Arango, Maria Clara Mendoza, Martinez, Eneida Diaz, Perdomo, Valentina Gutiérrez, Montenegro, Emileth, Rodriguez‐abreu, Julia, Mejía, Dolores, Abouelnagah, Galal, Shehata, Sameh, Rida, Ahmed Hossam Eldin Fouad, Hassan, Ramy A., Saad, Mahmoud M., Loaloa, Mohamed Reda, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Abebe, Metasebia, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Assefa, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Le Bian, Alban Zarzavadjian, Harper, Luke, Déserts, Marc Danguy, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Nkembi, Armande Subayi, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre‐alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin‐givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne‐cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler‐seyfried, Marie‐claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Ruiz, Alitza Gutiérrez, Rodas, Alejandra, Portilla, Ana Lucía, Carrera, Jacqueline, Duarte, Amalia Barrios, Lowey, Megan, Barillas, Sabrina, Suroy, Atul, Vaishnav, Dhaivat, Chowdappa, Raghunandan Gorantlu, Madabhavi, Irappa, Bhat, Dhananjaya, Venkatappa, Sunil Kumar, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Vayoth, Sudheer Othiyil, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn, Nissi, Kannaiyan, R Lavanya, Matai, Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M Vijayakumar, Hameed, Zeeshan, Badareesh, L, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Sharma, Rahul Deo, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, Ranganath, N, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Maleki, Esmaeil Rezghi, Kandevani, Naser Yousefzadeh, Ikele, Hilary, Mcnestry, Catherine, Fleming, Christina, O’Brien, Stephen, Elwahab, Sami Abd, Davis, Niall, Javadpour, Mohsen, Mcdonnell, Brendan, Connor, Clare O, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Salhiyeh, Ala’a Abu, Al‐manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’Ed, Hazim, Hamad, Faten Reyad Bani, Abuleil, Amro, Jimaale, Elmi Ahmed 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, Kieser, David, Mohyieldin, Omar, Mcintosh, Nick, Haran, Cheyaanthan, King, Jasmin, Jeong, Ha, Mcguinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Okunlola, Abiodun, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty‐john, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami Ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Malik, Muhammad Usman, Yaqoob, Hassan Nawaz, Pacheco, Glenda Marina Falcon, Melendez, Robinson Mas, Urbina, Arazzelly Del Pilar Paucar, Chiuyari, Jose Rios, Alvarado, Carlos Eduardo Otiniano, Lau, Lorena Fuentes Rivera, Borda‐luque, Giuliano, Niquen‐jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Pallardel, Jenner Betalleluz, Oscco, Regina Amparo Ugarte, Mendiola, Gian, Colmenares, Yahaira Tatiana Carpio, Zapata, Carlos Shiraishi, Ortiz, Maria Rosa, Borges, Filipe Castro, Viveiros, Octavio, Serralheiro, Pedro, Santos‐costa, Paulo, Mendes, Filipa, Melo, Miguel Rocha, Cardoso, Paulo, Soares, Ana, Pereira, Rita Gonçalves, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida‐reis, Rui, Oliveira, João, Nogueiro, Jorge, Sampaio‐alves, Mafalda, Costa, Luciana Cidade, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai‐popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, 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, Sánchez‐cabús, Santiago, Toscano, Marta Jimenez, Sin, MªPilar Canals, Laura, Saura García, Sole, Oriol Martin, Bellver, Pedro Palazon, Pérez‐bertólez, Sonia, Prat‐ortells, Jordi, Martínez, Mireia Riba, Rubio‐palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Mendoza, Veronica Alonso, Bescós, Coro, Espin‐basany, Eloy, Espinosa‐bravo, Martin, Gil‐sala, Daniel, González‐suárez, Susana, Estruch, Nuria Montferrer, Mariño, Lucia Porteiro, Rodríguez‐tesouro, Ana, Portilla, Fabian Rojas, Pérez, M Pilar Tormos, Vives, Inmaculada, De Cortazar, Unai Garcia, Tudela, Kiara, Landaluce‐olavarria, Aitor, Gómez, Mercedes Estaire, Almoguera, Jorge, Ugarte‐sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Puiggrós, Laura Cárdenas, Delisau‐puig, Olga, Garcia‐adamez, Jorge, Bergkvist, David Julià, Maldonado‐marcos, Eloy, García, Lucia Diego, Golet, Marta Roldón, Soto‐darias, Iván, Rahy‐martín, Aida Cristina, Enjuto, Diego, Ramos‐luengo, Adolfo, Fernandez, Juan Delgado, Duarte, Carolina Lugo, Thies, Cristina Ojeda, Marquez, Lucila, Vita, Diana Crego, Dziakova, Jana, Velasco, Jorge Caño, Mateo‐sierra, Olga, Quintana‐villamandos, Begoña, Valcarcel, Cristina Rey, Rio, Javier, León, Laura Román García, Di Martino, Marcello, Prada, Jorge, González, Javier Serrano, Losada, Manuel, Gomez, Jose Tomas Castell, Corripio‐sanchez, Ramon, Forero‐torres, Alexander, Morales‐puebla, José Manuel, Perez‐chrzanowska, Hanna, Gonzalez, Santiago Valderrabano, Yebes, Alvaro, Zapardiel, Ignacio, Alonso, Manuel Diez, Palacios, Nelson Morales, Sánchez, Alberto Cabañero, Fernández, Fátima Sánchez, Gurumeta, Alfredo Abad, Abad‐motos, Ane, Corella, Fernando, Ripollés‐melchor, Javier, Sanz‐gonzalez, Rosa, Fuentes, Marta Alcaraz, Martín, Maria Teresa Fernández, Espino, Pablo Calvo, Prats, Milagros Carrasco, Fernández‐lópez, Antonio‐josé, Escudero, Damián García, Soria, Vanesa Garcia, Alonso, Jesús Aarón Martínez, Ruiz‐marín, Miguel, Pérez, Beatriz Gómez, Moya‐angeler, Joaquin, Martínez, Daniel Fernández, Bayo, Heura Llaquet, Colás‐ruiz, Enrique, Romera, Susana Bella, Pellicé, M. Teresa Gavaldà, Solé, Misericòrdia Jordà, Velasquez, Enrique Jose Ruiz, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González‐gimeno, Maria Jose, Vázquez, Irene Ortega, Ferrer, Antonio Perez, Martín‐láez, Rubén, Suarez, Marcelo Moreno, Eiras, Miguel Angel Freiria, Ramallo‐solís, Irene, Gomez‐rosado, Juan‐carlos, Guillen, Jose Ramon Oliver, Boira, Mar Achalandabaso, Bauset, Juan Carlos Catalá, Domenech, Julio, Badenes, Rafael, Bernal‐sprekelsen, Juan Carlos, Sancho‐muriel, Jorge, De Andrés‐Asenjo, Beatriz, Tejero‐pintor, Francisco J, Vallve‐bernal, Marc, Melero, Alba Vazquez, Blasco, Laura Sánchez, Escartin, Jorge, Mallén, Victoria Duque, Srishankar, Selvaratnam, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Weeraddana, Prabuth Dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Sauvain, Marc‐olivier, Ghazal, Ahmad, Al‐sabbagh, Yusra, Alhassoun, Turki, Albared, Sara Maa, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, 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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 Vincenzo, Marcela, Gallino, Esteban Sebastian, Gigena, Cecilia, Grassano, Bianca, Lugones, Ignacio, Madrid, Constanza, Maricic, Maximiliano, Martinez, Antonio Alberto, Rosso, Andres, Scher, Pablo, Tachella, Sofia, Zezular, Damaris Idara Anabel, Abuawad, Carla, Forneris, Agustin Albani, Allemand, Carola, Calzaretta, Laura Gisela Alvarez, Boretto, Jorge G., Boudou, Rocio, Brandariz, Rodrigo, Buljubasich, Martin, Burchakchi, Arturo, Buttaro, Martin, Campana, Juan Pablo, Busnelli, Virginia Cano, Carminatti, Tomas, Lalín, Agustina Florencia Castro, Cereghini, Julian, Amor, María Sol Crespi, Croattini, Roberto Sebastián, Fernandez, Maria Sol, Figari, Marcelo, Fraidenraij, Uriel, Gallegos, Diego, García‐mansilla, Agustín Maria, Gonzalez, Marcos, Gonzalez, Matias Ignacio, Salazar, Esteban Gonzalez, Goransky, Jeremias, Gauna, Guillermo Hernandez, Higuera, Felipe, Holc, Fernando, Jauregui, Esteban Gabriel, Larrañaga, Juan, Liyo, Juan, Llano, Lionel, Lobos, Pablo, Luzzi, Emilia, Mastroianni, 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, 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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 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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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Patel, Priyank, Poyyil, Dilroop, Redkar, Rajeev, Shah, Munjal, Tewari, Shruti, Bakshi, Ganesh, Chaudhari, Vikram, Deshmukh, Anuja, Desoouza, Ashwin, Gupta, Stuti, Nair, Deepa, Nayak, Prakash, Patkar, Shraddha, Puri, Ajay, Qureshi, Sajid, Shetty, Prakash, Shylasree, Ts, Thakkar, Purvi, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Anushri, Soni, Gira, Alam, Junaid, Bagaria, Dinesh, Bajpai, Minu, Bisoi, Akshay Kumar, Chaturvedi, Arvind, Chauhan, Sandeep, Choudhary, Narendra, Chouhan, Rajendra Singh, Chumber, Sunil, Farooque, Kamran, Gudala, Vasubabu, Gupta, Amit, Joshi, Mohit, Kabra, Apoorva, Kale, Shashank Sharad, Kumar, Abhinav, Kumar, Subodh, Mahajan, Dhruv, Malhotra, Rajesh, Menon, P Ramesh, Misra, Biplap, Mittal, Samarth, Parshad, Rajinder, Priyadarshini, Pratyusha, Sagar, Sushma, Sharma, Pradeep Brijkishor, Sharma, Vijay, Trikha, Vivek, Tyagi, Mayank, Bansal, Kuldeep, Varma, Kalyan, Mishra, Anurag, Singh, Rajdeep, Bhardwaj, Rohit, Mittal, Abhishek, 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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, Carmen, Geary, Michael, Malone, Fergal, Mccarthy, Claire, O’Connor, Donal B, Considine, Shane, Donohoe, Emma, Herron, Caroline, Larkin, John, Lynch, Thomas Hugh, Maguire, Barry, Manecksha, Rustom, Carthy, Andrea Mc, Nagassima, Katharina, O’Sullivan, Erica, Rohan, Pat, Roopnarinesingh, Ryan, Salloum, Salloum, Aherne, Thomas, Barry, Mary, Bowen, Gareth John, Boyle, Ellen, Dowdall, Joseph, Hanly, Ann, Hassanin, Ahmed, Heneghan, Helen, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Martin, Sean T, Masarani, Nawar, Mccartan, Damian, Mcdermott, Enda W, Murphy, Ben, Kin Cheung, Ng, Njeze, Nwabundo, O’Neill, Aine, Prichard, Ruth S, Quirke, Ned, Reynolds, Ian Sean, Winter, Des, Casey, Rowan, Elamin, Mutaz, Gillis, Amy, Kavanagh, Dara, Kelly, Michael, Mcnamee, Áine, Neary, Paul, Owens, Patrick, Ravi, Akshaya, Ridgway, Paul, Carroll, Paul, Collins, Chris, Dhannoon, Amenah, Fowler, Amy, Hogan, Aisling, Lowery, Aoife, Mcanena, Peter, Timon, Charlie, Walsh, Stewart, Al‐ramli, Wisam, 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 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Andreani, Lorenzo, Antonio, Darienzo, Aprile, Vittorio, Balestri, Riccardo, Benettini, Giacomo, Berrettini, Stefano, Bruschini, Luca, Chiarugi, Massimo, Coccolini, Federico, Colangeli, Simone, Cremonini, Camilla, Mencacci, Lodovica Cristofani, Dallan, Iacopo, De Santi, Silvia, Di Franco, Gregorio, Di Girolami, Lorena, Fiacchini, Giacomo, Furbetta, Niccolò, Korasidis, Stylianos, Lucchi, Marco, Morandi, Andrea, Morelli, Luca, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Porcelli, Francesco, Puccini, Marco, Roffi, Nicolo, Statuti, Erica, Tartaglia, Dario, Tonelli, Alberto, Vianini, Matteo, Baronio, Gianluca, Montuori, Mauro, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Maffeis, Federica, Ubiali, Paolo, Aguzzoli, Lorenzo, Coiro, Saverio, Falco, Giuseppe, Mandato, Vincenzo Dario, Mastrofilippo, Valentina, Mele, Simone, Baldi, Caterina, Corbellini, Carlo, Sampietro, Gianluca Matteo, Dugo, Massimo, Garino, Mauro, Marafante, Chiara, Masciandaro, Antonio, 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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, 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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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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, 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(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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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. 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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. 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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. T., Bertolani, E., Steidle, C., Uberruck, L., Yurttas, C., Ziegler, P., Zimmermann, A., Bolenz, C., Dayan, D., Greve, J., Hoffmann, T. K., Janni, W., Lobig, N., Schochter, F., Vahl, J. M., Wezel, F., Greif, V., Schmidbauer, S., Marsch, I., Schneider, R., Boenicke, L., Degener, S., Dreger, N. M., Horstmeier, F. C., Kruschwitz, J., Rombach, A., Schmidt, N., Seiberth, R., Singh, J., Smit, M., von Rundstedt, F. -C., Zirngibl, H., Diessner, J., Friedrich, S., Germer, C. -T., Helmer, P., Herrmann, J., Kranke, P., Kubler, H., Lock, J., Lotz, C., Meffert, R., Meybohm, P., Muller, S., Notz, Q., Popp, M., Schlegel, N., Schlesinger, T., Schmid, B., Sitter, M., Steinisch, A., Treutlein, A., van den Berg, A., Wurmb, T. E., Agyeman-Duah, N. K., Appiah, E., Armah, R., Asare, C., Awere-Kyere, L., Daary, D., Gakpetor, D., Allah, S. M., Obbeng, A., Osei-Poku, D., Puozaa, D., Tackie, E., Adu-Aryee, N. A., Agboadoh, N., Asare, O., Bowan, A. B., Brown, G. D., Clegg-Lamptey, J. -N., Dedey, F., Dery, C., Fenu, B. S., Harrison, M. A., Kumassah, P., Kuuzie, E., Nsaful, J., Olayiwola, D. O., Smith, C., Banka, C., Hussey, R., Azize, D. A., Aniakwo, L. A., Adofo-Asamoah, Y., Agbeno, E. K., Agyapong, M. M., Agyen, T., Mensah, K. A., Alhassan, B. A. B., Amoako-Boateng, M., Appiah-Thompson, P., Gyimah, N. A. -M., Asante-Bremang, M., Asante-Asamani, A., Atawurah, H., Appiah, A. B., Baidoo, R. O., Baidoo, E. I., Boakye, B., Boateng, A., Dadoe, D., Dayie, M. S. C. -J. K., Debrah, S., Doku, K., Enti, E., Ken-Amoah, S., Koggoh, P., Kpangkpari, R., Maison, P., Mensah, S., Mensah, P., Mensah, T. A., Morna, M. T., Nimako-Mensah, J., Nkrumah, J., Nortey, M., Ofori, E. O., Opandoh, I. N. M., Osei-Tutu, E., Adae, J. O., Quansah, K., Quartson, E., Rahman, G. A., Walawah, D., Yigah, M., Yussif, S., Jiagge, N., Nachelleh, E., Acquaye, J., Agbedinu, K., Agyei, F., Agyemang-Prempeh, A., Amo-Antwi, K., Amoah, M., Amoah, G., Amoako, Y. A., Aning, D. 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T. -A., Grypiotis, I., Kiriakopoulos, N., Koliopoulos, G., Kyvelos, V., Micha, G., Papadopoulou, T., Balalis, D., Fradelos, E., Korkolis, D., Alexakis, N., Angelou, K., Haidopoulos, D., Prodromidou, A., Rodolakis, A., Thomakos, N., Psychogios, D., Antonakis, P., Bramis, K., Chardalias, L., Contis, I., Dafnios, N., Dellaportas, D., Dimitra, P., Fragkoulidis, G., Gkiokas, G., Gklavas, A., Hadjizacharias, T., Karageorgou, D., Konstadoulakis, M., Kontopoulou, C., Massaras, D., Memos, N., Papaconstantinou, I., Politis, D., Polydorou, A., Stamatis, K., Theodosopoulos, T., Vezakis, A., Avgerinos, K., Katunin, J., Kechagias, A., Kelgiorgi, D., Kritikos, N., Pengerma, P., Bisdas, T., Ioannidis, A., Konstantinidis, M., Konstantinidou, S., Patelis, N., Antonopoulou, M. I., Deskou, E., Kalles, V., Manatakis, D. K., Stamos, N., Tasis, N., Arkadopoulos, N., Danias, N., Economopoulou, P., Frountzas, M., Kokoropoulos, P., Michalopoulos, N., Selmani, J., Sidiropoulos, T., Vassiliu, P., Paraskevas, K. I., Bartziotas, D., Bouchagier, K., Galanis, I., Kalamatianos, T., Kapiris, S., Kolinioti, A., Mavrodimitraki, E., Metaxas, P., Nikova, A., Psarologos, M., Sotiropoulou, M., Stranjalis, G., Albanopoulos, K., Kondilis, P., Vrakopoulou, G. Z., Chrysovergis, A., Chrysovitsiotis, G., Giotakis, E., Kanellopoulou, V., Kyrodimos, E., Larentzakis, A., Pantos, P., Papanikolaou, V., Potamianos, S., Theodoropoulos, C., Triantafyllou, A., Triantafyllou, T., Georgousi, K., Panagiotou, P., Avramidis, E., Babis, G., Zafeiris, E., Antoniou, A., Bessias, N., Maras, D., Papas, T., Roditis, K., Tsagkos, I., Tsiantoula, P., Alexandrou, A., Baili, E., Charalabopoulos, A., Dimitroulis, D., Dorovinis, P., Garoufalia, Z., Kanavidis, P., Karavokyros, I., Karydakis, L., Kykalos, S., Kyros, E., Machairas, N., Mastoraki, A., Nikiteas, N., Papalampros, A., Schizas, D., Skotsimara, A., Stamopoulos, P., Syllaios, A., Terras, A., Tomara, N., Tsourouflis, G., Vagios, I., Zografos, C., Apostolou, K., Georgopoulos, N., Antoniou, T., Antzaka, C., Falara, A., Fragoulis, S., Ftikos, P., Matsouka, F., Perreas, K., Rellia, P., Samara, E., Smirli, A., Tasouli, A., Thanopoulos, A., Chalkias, P. L., Dedemadi, G., Mourmouris, P., Skolarikos, A., Theochari, N., Tzelves, L., Gaitanakis, S., Milas, T., Theodorakis, E., Karona, P., Kastanaki, P., Tzouganakis, A., Agalianos, C., Tsouknidas, I., Xenakis, A., Chrysos, E., Lasithiotakis, K., Nikolouzakis, T., Xenaki, S., Xynos, E., Lostoridis, E., Nagorni, E. -A., Pujante, A., Tourountzi, P., Al, A., Baxevanidou, K., Bouliaris, K., Efthimiou, M., Kalfountzos, C., Koukoulis, G., Lachanas, V., Petropoulos, K., Tsitiridis, I., Angelis, F., Arnaoutoglou, E., Baloyiannis, I., Bareka, M., Bouronikou, A., Christodoulidis, G., Daponte, A., Fergadi, M., Gkolias, N., Gkrinia, E., Hajiioannou, J., Kalogritsas, N., Karoni, E., Korais, C., Krestinidis, G., Ktisti, A., Magouliotis, D., Maiou, C., Malizos, K., Minasidou, M., Ntalouka, M., Ntziovara, A. M., Palla, E., Perivoliotis, K., Saini, F., Samara, A., Saratziotis, A., Skoulakis, C., Solomi, E., Stamoulis, K., Terzoudis, C. D., Tsironi, E., Tzovaras, G., Vallianou, K., Zacharoulis, D., Ziogkou, A., Elias, L., Maroulis, I., Mulita, F., Plachouri, K. -M., Vailas, M., Doitsidis, C., Filo, E., Gkalonaki, I., Kogia, E., Kontopoulou, K., Mitroudi, M., Panteli, C., Patoulias, I., Semkoglou, O. I., Sfoungaris, D., Valioulis, I., Astreidis, I., Christidis, P., Ioannidis, O., Loutzidou, L., Mantevas, A., Paraskevopoulos, K., Tatsis, D., Athanasiadis, A., Dagklis, T., Kalogiannidis, I., Kapetanios, G., Mamopoulos, A., Margioula-Siarkou, C., Petousis, S., Tsakiridis, I., Anthoulakis, C., Christou, C., Fantakis, A., Iordanidou, E., Kaselas, C., Panagiotidou, S., Papadopoulos, V., Papavasiliou, K., Piachas, A., Siasios, I., Spyridakis, I., Theodoridis, T., Tooulias, A., Tsiridis, E., Tsopozidi, M., Aleman, M., Brolo, E., Lemus, A. L., Greenberg, J., Chew, K. M. M., Oliva, J. R., Lima, M. A. D. L., Muralles, I. L., Solares, F., Ajcip, G., Anton, C., Cojulun, J., Flores, M. -A., Jose, N., Paiz, C. A. M., Morales, S., Najera, R., Lorenzana, E. Q., Rivera, P., Rodas, L., Santos, V., Sosa, D., Ybarra, N., Cajti, J. D. P., Regil, C., Osorio, W. A., Arriola, R. R., Tale-Rosales, L. -F., Herrera, D., Rodriguez, S. T. T., Villeda, S. A., Anicetti, J., Medina, A. M. L., Ardebol, J., Barillas, K., De Leon, F., Recinos, S., Marroquin-Alpirez, M. -A., Yax, Y., Hon, S., Liu, Y. H., Liu, A. Q., Liu, S., Chiu, H. T. N., Chow, C. M. T., Hau, V., Ip, H. W., Mak, B., Mok, C. Y., Ng, D., Siu, Y. Y. E., Wong, K. F., Pu, J. J., Su, Y. -X., Au-Yeung, K. Y., Chan, D. Y. C., Chan, A., Chan, S. M., Chang, T. C., Chiu, T. W., Chiu, W. K., He, Z., Ho, M. F., Ho, K. K. W., Ho, J. Y. K., Kung, J. W. C., Lam, C. H., Lau, R. W. H., Ling, S. K. K., Lok, H. T., Mak, T. W. C., Ng, C. -F., Ng, S., Ng, K. K. -C., Ng, C. S. H., Ong, M. T. Y., Tan, T., Tang, S. F., Teoh, J. Y. -C., Teoh, A., Tsui, B. S. Y., Wong, G. K. C., Wong, R., Wong, K. C., Yee, C. H., Antal, Z., Kalman, A., Voros, P., Bahrehmand, K., Echim, T., Novak, Z., Sztipits, T., Bihari, L. A., Hidi, L., Piros, L., Rozsa, B., Sotonyi, P., Szatai, L., Herczeg, G., Pordany, B., Tornyi, F., Dede, K., Egyed, T., Saftics, G., Kulcsicka-Gut, J., Sipos, Z., Toth, D., Patel, B., Majmudar, H., Mankad, S., Pathan, S., Sharathkumarkl, L., Sasatti, L., Mahankali, S., Annayappa, S. K. S., Agrawal, T., Anandan, P., Baindur, A., Bd, M., Savitha, C., Anitha, G. S., Harigond, S., Tejeswini, K. K., Kesarla, V., Manangi, M., Hareesh, P. B., Ranjan, J. K. R., Shetty, A., Chikkanayakanahalli, S. S., Sunil, T., Syamala, S., Tharanath, K., Atal, A., Rajagopal, N., Srinath, B. S., Nk, V., Thirumanikandan, P. L., Mishra, N., Shrivastava, S., Wadhwani, R., Ahmad, R., Haq, Z. A., Behera, P., Dhurwe, R., Haq, R., Jain, V., Karna, S., Pushpalatha, K., Raj, S., Santoshi, J. A., Singh, P., Verma, V., Waindeskar, V., Yadav, M. S., Aziz, Z., Chakraborty, K., Chappity, P., Das, G., Datta, D., Jena, S. 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. K., Jha, D., Kala, P., Kaur, A., Madduri, V., Pandey, H., Pareek, P., Pathak, M., Rathod, K. J., Rodha, M. S., Saxena, R., Sharma, N., Shekhar, S., Singh, M., Suryanarayanan, B., Vishnoi, J. R., Amin, S., Sharma, T., Murugesan, K., Ramasamy, A. B. S., Chatterjee, D., Gerber, C. G., Naskar, U., Aggarwal, G., Agrawal, S. K., Jain, P., Jain, D., Kewlani, V., Pipara, A., Priya, N., Raja, R., Shakya, S., Thambudorai, R., Kharkongor, D., Akhtar, N., Anand, A., Asnani, M., Chaturvedi, A., Chaurasia, A., Enny, L. E., Garg, S., Jaiswal, A. K., Jaiswal, S., Jaware, Y., Kala, N., Karnatak, R., Kumar, U., Shrivastava, A. K., Mehrotra, S., Mishra, B., Namrata, Ojha, B. K., Ozair, A., Pal, U. S., Pandey, A., Raja, N., Ramakant, P., Roy, A., Sachan, R., Sankhwar, S., Sankhwar, P., Sarin, D., Shukla, A., Singh, K. R., Singh, R., Singh, U., Solanki, V., Sonkar, A. A., Srivastava, C., Suryawanshi, P., Tewarson, V., Verma, R., Verma, M. L., Yadav, A., Chand, G., Chanthar, K. M. M. V., Hoysal, D., Batra, N., Bhatti, A., Chopra, R., David, S., Dhar, T., Dutt, U. K., Dutta, R., Gandhi, S., Haque, P. D., Paul Sudhakar John, B., Veetil, S. K., Kaur, G., Kumar, N., Luther, A., Mahajan, A., Mandrelle, K., Mathews, S., Michael, V., Mukherjee, P., Pargal, P., Paul, R., Phillip, A., Phillips, R., Samuel, A., Singh, N., Singh, I., Singh, A., Grewal, S. S., Singhania, A., Thirumalai, S., Varghese, A., Wesley, J., Thomas, J., Zechariah, P., Ifthikar, M. A., Mathew, R. T., Shetty, R., Vijaykumar, M. V., Hameed, B. M. Z., Ibrahim, S., Jyothish, G., Krishna, S., Mathew, S., Kumar, A. S., Sinha, P. K., Sridhar, R., Agarwal, S., Balasubramaniam, S., Chhatrapati, S., Deshpande, C., Dharia, A., Fernandes, S., Gore, M., Jayakumar, A., Mhamane, R., Nirgude, A., Parab, S., Patil, M., Peswani, A., Sahu, A., Samel, S., Shah, F., Haridas, D., Shetty, V., Abraham, B., Agarwal, V., Ahmad, Q., Asari, A., Attar, M. I., Ayyalasomayajula, N. S., Bachawat, S., Bachhav, S., Badhe, V., Badhwar, S., Basa, V. I. K. A. S., Bothara, V., Chattopadhyay, S., Chaudhari, S., Chavan, R., Chawathe, P., Dadhich, S., Dalal, A., Date, A., Deshpande, M., Dev, P., Dongre, N., Doshi, A., Gade, M., Gajjar, S., Gawande, M., Ghalme, A., Ghugare, B., Gupta, I., Jain, M., Jenasamant, S. S., Joshi, V., Kalwadia, N., Kapadia, N., Kattana, H. B. R., Kaushik, T., Kayal, A., Kovale, S., Kulkarni, Y., Kumar, K., Kumawat, K., Lad, V., Maskara, N., Mistry, R., Mohanty, S. R., Motwani, K., Mulchandani, M., Nadkarni, M., Pandey, S., Parab, M., Pardiwala, D., Patkar, A., Pawar, N., Pawar, A., Pednekar, A., Peshattiwar, V., Pokharkar, H., Potdar, O., Pothare, A., Rahmani, F., Rajput, S., Narendra, N. R., Rao, A., Rao, S., Rohela, H., Sakhrekar, R., Salunkhe, D., Sandlas, G., Sarkar, H., Satpathy, A., Sekhar, R., Shelke, Y., Shetty, S. S., Shetye, S., Kulkarni, A. 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. R., Tuli, I., Bhor, P., Dhar, S., Kale, S., Aggarwal, M., Gupta, H., Deshpande, A., Gadekar, A., Jaysingani, T., Panjwani, T., Patil, R., Vaidya, N., Vishwakarma, S. K., Wayal, U., Dutta, D., Arora, R., Dhingra, M., Garg, P. K., Huda, F., Kandwal, P., Kant, R., Seenivasagam, R. K., Joshua, L. M., Poonia, D. R., Rajput, D., Sadhasivam, S., Singh, V., Chandanwale, K., Philip, M., Thorat, V., Choudhury, Y., Das, D., Das, M., Goala, S., Laskar, F. Y., Laskar, P., Malik, K., Sarkar, A., Singha, S. T., Singha, M. N., Singha, D., Srungavarapu, G., Tapkire, R., Tling, S., Andrabi, S. M. I., Bhat, G. A., Chowdri, N., Kour, R., Parray, F., Shah, Z. A. M. I. R. A. H. M. A. D., Wani, R., Adamala, S., Gowder, R., Hegde, S., Mashitha, M. S., Sreeram, S., Ankadavar, S., Bafna, D., Dhanani, B., Ingle, N., Jadhao, P., Joseph, S., Kapote, S., Karkada, S., Lad, P., Lohia, R., Madje, S., Narasiman, V., Chisthi, M., George, G., Jothi, H., Pareed, D., Mathew, G. D. C., Abel, L., Agrawal, M., Rabindranath, B., Baldia, M., Barla, R. K., Beck, M., Benjamin, S., Bliss, J., Cherian, L., Devarakonda, S., Ete, G., George, A. J. 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.
Subjects: 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
Published: 2022

22. Phase I/II Trial of Vemurafenib in Dogs with Naturally Occurring, BRAF-mutated Urothelial Carcinoma

Author: Uma K. Aryal, Paul M Rossman, Christopher M. Fulkerson, Noel Dybdal, Mark Merchant, Jackeline Franco, Deepika Dhawan, Sagar M. Utturkar, Audrey Ruple, Matthew Breen, Alexander W. Enstrom, Elaine R Murray, Dietrich Tuerck, Lindsey M. Fourez, José A. Ramos-Vara, Deborah W. Knapp, Tanja S. Zabka, Rodrigo Mohallem, Ketaki Bhide, and Liling Liu
Subjects: Cancer Research, business.industry, Invasive urothelial carcinoma, Cancer, Drug resistance, medicine.disease, Immune system, Oncology, Pharmacokinetics, Pharmacodynamics, Cancer research, Medicine, business, Adverse effect, Vemurafenib, medicine.drug
Abstract: BRAF-targeted therapies including vemurafenib (Zelboraf) induce dramatic cancer remission; however, drug resistance commonly emerges. The purpose was to characterize a naturally occurring canine cancer model harboring complex features of human cancer, to complement experimental models to improve BRAF-targeted therapy. A phase I/II clinical trial of vemurafenib was performed in pet dogs with naturally occurring invasive urothelial carcinoma (InvUC) harboring the canine homologue of human BRAFV600E. The safety, MTD, pharmacokinetics, and antitumor activity were determined. Changes in signaling and immune gene expression were assessed by RNA sequencing and phosphoproteomic analyses of cystoscopic biopsies obtained before and during treatment, and at progression. The vemurafenib MTD was 37.5 mg/kg twice daily. Anorexia was the most common adverse event. At the MTD, partial remission occurred in 9 of 24 dogs (38%), with a median progression-free interval of 181 days (range, 53–608 days). In 18% of the dogs, new cutaneous squamous cell carcinoma and papillomas occurred, a known pharmacodynamic effect of vemurafenib in humans. Upregulation of genes in the classical and alternative MAPK-related pathways occurred in subsets of dogs at cancer progression. The most consistent transcriptomic changes were the increase in patterns of T lymphocyte infiltration during the first month of vemurafenib, and of immune failure accompanying cancer progression. In conclusion, the safety, antitumor activity, and cutaneous pharmacodynamic effects of vemurafenib, and the development of drug resistance in dogs closely mimic those reported in humans. This suggests BRAF-mutated canine InvUC offers an important complementary animal model to improve BRAF-targeted therapies in humans.
Published: 2021

23. Exertional heat illnesses in marching band artists: a case series

Author: Rashawn K. Merchant, Susan W. Yeargin, Andrew Grundstein, and Dawn M. Emerson
Subjects: Atmospheric Science, education.field_of_study, Ecology, Specific heat, biology, business.industry, Athletes, Health, Toxicology and Mutagenesis, Heat exhaustion, Population, biology.organism_classification, medicine.disease, Health problems, Military personnel, Heat illness, Medicine, Heat syncope, business, education, Demography
Abstract: Marching band (MB) artists frequently spend many hours engaged in outdoor physical activity. Anecdotal evidence and small studies have indicated that MB artists do experience heat-related health problems. Yet, unlike athletes, military personnel, or workers, there is very little research on heat-related hazards among this unique population. Here, we seek to understand the incidence and circumstances under which exertional heat illnesses (EHIs) occur among MB artists over a 31-year period (1990–2020) across the USA. Using an on-line news dataset, we identified 34 separate events and at least 393 total EHIs. Heat syncope (~ 55%) and heat exhaustion (~ 44%) comprised the majority of EHIs, although a small number of exertional heat stroke cases were also reported. EHIs were reported in all types of MB activities with ~ 32% during rehearsal, ~ 29% during parades, ~ 21% during competition, and ~ 15% during a performance. Also, the vast majority of events occurred with high school (~ 88%) marching bands. Finally, EHIs overwhelmingly occurred when the weather was unusually hot by local conditions. In light of these findings, we emphasize the need for MB specific heat polices that incorporate weather-based activity modification, acclimatization, education about EHIs, and access to on-site medical professionals.
Published: 2021

24. Morphine Equivalent Total Dosage as Predictor of Adverse Outcomes in Opioid Prescribing

Author: Krisanna Deppen, Anthony Bonifonte, and Rahim Merchant
Subjects: medicine.medical_specialty, Morphine, Proportional hazards model, Adverse outcomes, business.industry, Opioid use disorder, General Medicine, Opioid-Related Disorders, medicine.disease, Opioid prescribing, Analgesics, Opioid, Anesthesiology and Pain Medicine, Opioid, Prescription opioid, Internal medicine, medicine, Humans, Neurology (clinical), Drug Overdose, Practice Patterns, Physicians', Medical prescription, business, Retrospective Studies, medicine.drug
Abstract: Objective The objective of this work was to develop a risk prediction model for opioid overdose and opioid use disorder for patients at first opioid prescription and compare the predictive accuracy of morphine equivalent total dosage with the predictive accuracy of daily dosage . Design Records from patients 18–79 years of age with opioid prescriptions between January 1, 2016, and June 30, 2019, no prior history of adverse outcomes, and no malignant cancer diagnoses were collected from the electronic health record system of a medium-sized central Ohio health care system (n = 219,276). A Cox proportional-hazards model was developed to predict the adverse outcomes of opioid overdose and opioid use disorder from patient sociodemographic, pharmacological, and clinical diagnosis factors. Results During the study time frame, 573 patients experienced overdoses, and 2,571 patients were diagnosed with opioid use disorder. Morphine equivalent total dosage of opioid prescriptions was identified as a stronger predictor of adverse outcomes (C = 0.797) than morphine equivalent daily dosage (C = 0.792), with the best predictions coming from a model that includes both predictors (C = 0.803). In the model with both daily and total dosage predictors, patients receiving a high total / low daily dosage experienced a higher risk (hazard ratio [HR] = 2.17) than those receiving a low total / high daily dosage (HR = 2.02). Those receiving a high total / high daily dosage experienced the greatest risk of all (HR = 3.09). Conclusions These findings demonstrate the value of including morphine equivalent total dosage as a predictor of adverse opioid outcomes and suggest that total dosage may be more strongly correlated with increased risk than daily dosage.
Published: 2021

25. A Review on Hematopoietic Stem Cell Treatment for Epilepsy

Author: Neha Merchant, Mohan Krishna Ghanta, and Lakkakula V.K.S. Bhaskar
Subjects: Pharmacology, Drug Resistant Epilepsy, Epilepsy, business.industry, General Neuroscience, Hematopoietic Stem Cell Transplantation, Hematopoietic stem cell, Hematopoietic Stem Cells, Bioinformatics, medicine.disease, Neuroprotection, Pharmacotherapy, Neuronal regeneration, medicine.anatomical_structure, Refractory epilepsy, Humans, Medicine, Anticonvulsants, Clinical significance, business
Abstract: Epilepsy responds to pharmacotherapy in its initial stages. The response of some forms of epilepsy, like the refractory epilepsy, is extremely low. Surgical management of epilepsy is associated with complications, which necessitates the search for novel and modern strategies for the treatment of epilepsy. Neuroprotection and neuronal regeneration are the major targets that must be accomplished by the new strategies. Hematopoietic Stem Cell (HSCs) therapy for epilepsy has shown promising results in pre-clinical studies with marginal clinical effects. This review explores the characteristics, mechanism of action, and clinical significance of HSCs therapy for the treatment of epilepsy.
Published: 2021

26. Management of Pediatric Breast Masses: A Multi-institutional Retrospective Cohort Study

Author: Cynthia D. Downard, Jason D. Fraser, Dave R. Lal, Jonathan E. Kohler, Naila Merchant, Tiffany Wright, Amy E. Lawrence, Mercedes Pilkington, Patricia Lu, Grace Z. Mak, Troy A. Markel, Mary E. Fallat, Elle L. Kalbfell, Amanda Onwuka, Shawn D. St. Peter, Charles M. Leys, Maria E. Knaus, Cathleen M. Courtney, Tina Nguyen, Rashmi Kabre, Samir K. Gadepalli, Peter C. Minneci, Katherine J. Deans, Yara K. Duran, Julia Grabowski, Elissa Port, Thomas T. Sato, Alexis N. Bowder, Matthew P. Landman, Jacqueline M. Saito, and Beth Rymeski
Subjects: medicine.medical_specialty, Adolescent, Breast imaging, medicine.medical_treatment, Clinical Decision-Making, Breast Neoplasms, BI-RADS, Mastectomy, Segmental, Diagnosis, Differential, Diagnostic Self Evaluation, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Phyllodes Tumor, medicine, Humans, Breast, Child, Watchful Waiting, Breast ultrasound, Retrospective Studies, medicine.diagnostic_test, business.industry, Lumpectomy, Ultrasound, Retrospective cohort study, Pediatric Surgeon, medicine.disease, Fibroadenoma, 030220 oncology & carcinogenesis, Practice Guidelines as Topic, Feasibility Studies, Female, 030211 gastroenterology & hepatology, Surgery, Biopsy, Large-Core Needle, Ultrasonography, Mammary, Radiology, business
Abstract: Background The objective of our study was to describe the workup, management, and outcomes of pediatric patients with breast masses undergoing operative intervention. Materials and methods A retrospective cohort study was conducted of girls 10-21 y of age who underwent surgery for a breast mass across 11 children's hospitals from 2011 to 2016. Demographic and clinical characteristics were summarized. Results Four hundred and fifty-three female patients with a median age of 16 y (IQR: 3) underwent surgery for a breast mass during the study period. The most common preoperative imaging was breast ultrasound (95%); 28% reported the Breast Imaging Reporting and Data System (BI-RADS) classification. Preoperative core biopsy was performed in 12%. All patients underwent lumpectomy, most commonly due to mass size (45%) or growth (29%). The median maximum dimension of a mass on preoperative ultrasound was 2.8 cm (IQR: 1.9). Most operations were performed by pediatric surgeons (65%) and breast surgeons (25%). The most frequent pathology was fibroadenoma (75%); 3% were phyllodes. BI-RADS scoring ≥4 on breast ultrasound had a sensitivity of 0% and a negative predictive value of 93% for identifying phyllodes tumors. Conclusions Most pediatric breast masses are self-identified and benign. BI-RADS classification based on ultrasound was not consistently assigned and had little clinical utility for identifying phyllodes.
Published: 2021

27. Serine Protease HTRA1 as a Novel Target Antigen in Primary Membranous Nephropathy

Author: Jon B. Klein, Tiffany Caza, Issa Kawalit, Fred Clayton, Christian Herzog, Tim Cummins, Ronald Sjöberg, Brandi L Williams, Rick D. Edmondson, John M. Arthur, Michael L. Merchant, Monica P. Revelo, Jo Abraham, Tianxin Yang, Laith Al-Rabadi, Nicole K. Andeen, Nirupama Ramkumar, Laurence H. Beck, Aylin R. Rodan, Daniel W. Wilkey, Jeremy Chien, Chang Jiang Zou, Claire Trivin-Avillach, Willisa Liou, Edwin Lin, Christopher P. Larsen, Norifumi Hayashi, and Aaron J. Storey
Subjects: 0301 basic medicine, Microarray, biology, medicine.diagnostic_test, 030232 urology & nephrology, Autoantibody, Serine Protease HTRA1, General Medicine, medicine.disease, Molecular biology, 03 medical and health sciences, Basic Research, 030104 developmental biology, 0302 clinical medicine, Membranous nephropathy, Antigen, Nephrology, Biopsy, medicine, Protein Fragment, biology.protein, Antibody
Abstract: Background Identification of target antigens PLA2R, THSD7A, NELL1, or Semaphorin-3B can explain the majority of cases of primary membranous nephropathy (MN). However, target antigens remain unidentified in 15%-20% of patients. Methods A multipronged approach, using traditional and modern technologies, converged on a novel target antigen, and capitalized on the temporal variation in autoantibody titer for biomarker discovery. Immunoblotting of human glomerular proteins followed by differential immunoprecipitation and mass spectrometric analysis was complemented by laser-capture microdissection followed by mass spectrometry, elution of immune complexes from renal biopsy specimen tissue, and autoimmune profiling on a protein fragment microarray. Results These approaches identified serine protease HTRA1 as a novel podocyte antigen in a subset of patients with primary MN. Sera from two patients reacted by immunoblotting with a 51-kD protein within glomerular extract and with recombinant human HTRA1, under reducing and nonreducing conditions. Longitudinal serum samples from these patients seemed to correlate with clinical disease activity. As in PLA2R- and THSD7A- associated MN, anti-HTRA1 antibodies were predominantly IgG4, suggesting a primary etiology. Analysis of sera collected during active disease versus remission on protein fragment microarrays detected significantly higher titers of anti-HTRA1 antibody in active disease. HTRA1 was specifically detected within immune deposits of HTRA1-associated MN in 14 patients identified among three cohorts. Screening of 118 "quadruple-negative" (PLA2R-, THSD7A-, NELL1-, EXT2-negative) patients in a large repository of MN biopsy specimens revealed a prevalence of 4.2%. Conclusions Conventional and more modern techniques converged to identify serine protease HTRA1 as a target antigen in MN.
Published: 2021

28. Association of central obesity and high body mass index with function and cognition in older adults

Author: Jia Yi Lim, Michael Wong Wai Kit, Reshma A. Merchant, and John E. Morley
Subjects: medicine.medical_specialty, handgrip strength, Demographics, central obesity, Adverse outcomes, business.industry, Endocrinology, Diabetes and Metabolism, Research, timed-up-and-go, Cognition, body mass index, Normal BMI, RC648-665, medicine.disease, Obesity, Diseases of the endocrine glands. Clinical endocrinology, Endocrinology, Internal medicine, Internal Medicine, medicine, Lower prevalence, business, Body mass index, High body mass index, cognitive function
Abstract: Objective To investigate the association of normal BMI with central obesity (CO), high BMI with CO, high BMI without CO, and normal BMI without CO, with function and cognition in older adults. Methods Cross-sectional study involving 754 participants ≥ 65 years. Data collected include demographics, cognition, and physical measurements. Results Females had a higher prevalence of high BMI with CO and a lower prevalence of high BMI without CO than males (61.0% vs 44.6% and 4.6% vs 15.0%, respectively). Within gender, CO groups, regardless of BMI, had lower mini-mental state examination (MMSE), handgrip strength (HGS), and longer timed-up-and-go (TUG) scores. Overall, the high BMI without CO group had the highest MMSE scores, HGS, and shortest TUG. Amongst males, HGS was significantly lower in the normal BMI with CO group (B −3.28, 95% CI −6.32 to −0.23, P = 0.04). CO, regardless of normal/high BMI, had significantly longer TUG time (B 2.65, 95% CI 0.45 to 4.84, P = 0.02; B 1.07, 95% CI 0.25 to 1.88, P = 0.01, respectively) than normal BMI without CO group. CO was associated with lower MMSE scores in both genders but significant only in males with normal BMI and CO (B −1.60, 95% CI −3.15 to −0.06, P = 0.04). Conclusion CO may be a better predictor of obesity and adverse outcomes in older adults. High BMI without CO was associated with better outcomes especially in males but require further validation. Prospective longitudinal studies are needed to ascertain the impact of BMI and/or CO on function, cognition, mortality, and gender differences.
Published: 2021

29. Survival inequity in vulnerable populations with early-stage hepatocellular carcinoma: a United States safety-net collaborative analysis

Author: Emily L. Ryon, Sommer Luu, Joshua P. Kronenfeld, Annie Wang, Maria C. Russell, Neha Goel, Adam C. Yopp, Ann Y. Lee, David S. Goldberg, Eric J. Silberfein, Nipun B. Merchant, Rachel M. Lee, and Cary Hsu
Subjects: Carcinoma, Hepatocellular, Safety net, MEDLINE, Psychological intervention, Vulnerable Populations, Article, 03 medical and health sciences, 0302 clinical medicine, Primary outcome, medicine, Health insurance, Humans, Retrospective Studies, Treatment barriers, Hepatology, business.industry, Liver Neoplasms, Gastroenterology, medicine.disease, United States, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Curative surgery, 030211 gastroenterology & hepatology, business, Safety-net Providers, Demography
Abstract: BACKGROUND: Access to health insurance and curative interventions [surgery/liver directed therapy (LDT)] affects survival for early-stage hepatocellular carcinoma (HCC). The aim of this multi-institutional study of high-volume safety-net hospitals (SNHs) and their tertiary-academic-centers (AC) was to identify the impact of type/lack of insurance on survival disparities across hospitals, particularly SNHs whose mission is to minimize insurance related access to care barriers for vulnerable populations. METHODS: Early-stage HCC patients (2012-2014) from the US Safety-Net Collaborative were propensity-score matched by treatment at SNH/AC. Overall survival (OS) was the primary outcome. Multivariable Cox proportional-hazard analysis was performed accounting for sociodemographic and clinical parameters. RESULTS: Among 925 patients, those with no insurance (NI) had decreased curative surgery, compared to those with government insurance (GI) and private insurance [PI, (PI-SNH:60.5% vs. GI-SNH:33.1% vs. NI-SNH:13.6%, p
Published: 2021

30. Subdermal Contraceptive Implant Insertion Trends and Retention in Adolescents

Author: Nichole Tyson, MaryAlice Lopez, Debbie Postlethwaite, and Maqdooda Merchant
Subjects: Adult, medicine.medical_specialty, Adolescent, Long-acting reversible contraception, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Contraceptive Agents, Female, medicine, Humans, 030212 general & internal medicine, Etonogestrel, Device Removal, Survival analysis, Retrospective Studies, Long-Acting Reversible Contraception, Desogestrel, 030219 obstetrics & reproductive medicine, Obstetrics, business.industry, Obstetrics and Gynecology, Retrospective cohort study, General Medicine, medicine.disease, Pediatrics, Perinatology and Child Health, Female, Implant, business, Contraceptive implant, Body mass index, medicine.drug
Abstract: There is growing advocacy for use of long-acting reversible contraception among sexually active adolescents. Our primary aims were to evaluate the etonogestrel subdermal contraceptive implant (SCI) insertion trends among adolescents, as well as SCI retention at 1, 2, and 3 years, indications for removal, and to identify pregnancies that occurred during SCI use. DESIGN, SETTING, PARTICIPANTS, INTERVENTIONS, AND MAIN OUTCOME MEASURES: A retrospective cohort study was conducted of adolescents aged 13-19 years with SCI insertions in 2008-2014 within a large integrated health care system. Demographic and clinical characteristics included age, race/ethnicity, body mass index, gravidity, parity, insertions, reinsertions, indications for removal, and pregnancy. Electronic medical record review was conducted on a randomized sample of 540 adolescents with insertions during 2008-2011 for the retention objective to validate electronically extracted variables. Analyses included descriptive statistics, survival analysis with Kaplan-Meier estimates for implant retention and Cochran-Armitage trend test for insertions according to year during 2008-2014.Most adolescent SCI users were non-Hispanic white (43%), or Hispanic (34.2%) and 16 years or older (84.2%) at the time of insertion. Overall, 1-, 2-, and 3-year retention rates were 78.6%, 59.4%, and 26.2%, respectively, with retention at 44.3% at 2 years 9 months (indicative of removal of method for near expiration of 3-year device). The insertion rate trend showed statistically significant increases annually, from 0.14% in 2008 to 0.91% in 2014; P .0001. No pregnancies were documented during implant use. The most common indication for SCI removal was device expiration.SCI insertions increased annually among adolescents, with more than a sixfold increase over the 6-year study period, and more than half of the SCIs were retained through 2 years of use. The most common indication of SCI removal was completion of Food and Drug Administration-approved duration.
Published: 2021

31. Perioperative Outcomes After Preoperative Epidural Analgesia in Patients with Hip Fracture Undergoing Surgical Repair: A Systematic Review

Author: Rachel M Cheung, Richard N. Merchant, Michelle R Mozel, Susan M Lee, and Jonathan V Choi
Subjects: law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, 030202 anesthesiology, law, medicine, Humans, Pain Management, 030212 general & internal medicine, Adverse effect, Surgical repair, Pain, Postoperative, Hip fracture, Hip Fractures, business.industry, General Medicine, Perioperative, Pain management, medicine.disease, Analgesia, Epidural, Anesthesiology and Pain Medicine, Systematic review, Anesthesia, Assessment methods, Neurology (clinical), business
Abstract: Objective To examine the effectiveness and safety of epidural analgesia in the presurgical period in patients with hip fracture undergoing surgical repair. Design Systematic review. Methods The study protocol was registered with the PROSPERO systematic reviews registry with the (identifier CRD42019140396). Electronic databases were searched for randomized controlled trials comparing preoperative epidural analgesia with other forms of pain management in patients with a hip fracture. The primary outcomes included perioperative cardiac events and death. Pain, noncardiac complications, and adverse effects were also examined as secondary outcomes. The heterogeneity of the included studies was assessed with the I2 statistic, and a random-effects meta-analysis was conducted once sufficient homogeneity was demonstrated. Results Four studies, which included a total of 221 patients, met the inclusion criteria. Preoperative epidural analgesia resulted in fewer cardiac events, which was a reported outcome in two included studies (relative risk 0.30; 95% confidence interval 0.14–0.63; I2=0%). Preoperative epidural analgesia was also associated with a decreased perioperative mortality rate in a meta-analysis of two studies (relative risk 0.13; 95% confidence interval 0.02–0.98; I2 = 0%). Pain was not pooled because of variability in assessment methods, but preoperative epidural analgesia was associated with reduced pain in all four studies. Conclusions Preoperative epidural analgesia for hip fracture may reduce perioperative cardiac events and deaths, but the number of included studies in this systematic review was low. More research should be done to determine the benefit of early epidural analgesia for patients with hip fracture.
Published: 2021

32. Review of Quantitative Imaging for Objective Assessment of Fat Grafting Outcomes in Breast Surgery

Author: Mia K. Markey, Gregory P. Reece, Zhale Nowroozilarki, Fatima A. Merchant, Summer E. Hanson, Mary Catherine Bordes, and Urmila Sampathkumar
Subjects: medicine.medical_specialty, Mammaplasty, Breast surgery, medicine.medical_treatment, Breast Neoplasms, Supplement Articles, 030230 surgery, Outcome assessment, Transplantation, Autologous, 03 medical and health sciences, 0302 clinical medicine, medicine, Medical imaging, Fat grafting, Humans, Mammography, Fat necrosis, Breast, Mastectomy, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, General Medicine, medicine.disease, Transplantation, Adipose Tissue, 030220 oncology & carcinogenesis, Surgery, Radiology, business
Abstract: This article presents a comprehensive review of the use of quantitative measurements based on breast images to assess fat retention, breast aesthetics, and fat necrosis after autologous fat grafting. Breast volume measured from MRI and 3-dimensional surface images is widely used as a measure of fat retention. Breast aesthetics are assessed from a combination of anthropometric (distance and contour) measurements on breast surface images. Examination of radiologic images (ultrasonography, mammography, and MRI) is utilized to assess fat necrosis. The article discusses implementation guidelines for objective outcome assessment to support robust quantification and enable investigations of fat grafting efficacy. Level of Evidence: 4
Published: 2021

33. Role of caregiver factors in outpatient medical follow-up post-stroke: observational study in Singapore

Author: Gerald Choon-Huat Koh, Yu Li Ng, Deidre A De Silva, David B. Matchar, Philip Yap, Angelique Chan, Angela Cheong, Kim Lee, Nan Luo, Effie Chew, Edward Menon, Hui Meng Chang, Sherry H. Young, Yee Sien Ng, Helen Hoenig, Tian Ming Tu, Kin Ming Chan, Kelvin Bryan Tan, Yan Hoon Ang, Rajinder Singh, Chou Ning, Shilpa Tyagi, Keng He Kong, Tseng Tsai Yeo, Chuen Seng Tan, Boon Yeow Tan, N. Venketasubramanian, Joanne Yoong, and Reshma A. Merchant
Subjects: medicine.medical_specialty, Healthcare utilization, Medicine (General), Family caregivers, Context (language use), Care provision, 03 medical and health sciences, 0302 clinical medicine, R5-920, Ambulatory care, Outpatients, Health care, medicine, Humans, Prospective Studies, 030212 general & internal medicine, Stroke, Singapore, business.industry, Caregiver burden, medicine.disease, Primary care, Caregivers, Family medicine, Observational study, Family Practice, business, 030217 neurology & neurosurgery, Research Article, Follow-Up Studies
Abstract: BackgroundOutpatient medical follow-up post-stroke is not only crucial for secondary prevention but is also associated with a reduced risk of rehospitalization. However, being voluntary and non-urgent, it is potentially determined by both healthcare needs and the socio-demographic context of stroke survivor-caregiver dyads. Therefore, we aimed to examine the role of caregiver factors in outpatient medical follow-up (primary care (PC) and specialist outpatient care (SOC)) post-stroke.MethodStroke survivors and caregivers from the Singapore Stroke Study, a prospective, yearlong, observational study, contributed to the study sample. Participants were interviewed 3-monthly for data collection. Counts of PC and SOC visits were extracted from the National Claims Database. Poisson modelling was used to explore the association of caregiver (and patient) factors with PC/SOC visits over 0–3 months (early) and 4–12 months (late) post-stroke.ResultsFor the current analysis, 256 stroke survivors and caregivers were included. While caregiver-reported memory problems of a stroke survivor (IRR: 0.954; 95% CI: 0.919, 0.990) and caregiver burden (IRR: 0.976; 95% CI: 0.959, 0.993) were significantly associated with lower early post-stroke PC visits, co-residing caregiver (IRR: 1.576; 95% CI: 1.040, 2.389) and negative care management strategies (IRR: 1.033; 95% CI: 1.005, 1.061) were significantly associated with higher late post-stroke SOC visits.ConclusionWe demonstrated that the association of caregiver factors with outpatient medical follow-up varied by the type of service (i.e., PC versus SOC) and temporally. Our results support family-centred care provision by family physicians viewing caregivers not only as facilitators of care in the community but also as active members of the care team and as clients requiring care and regular assessments.
Published: 2021

34. Fetal and placental infection with SARS‐CoV‐2 in early pregnancy

Author: María Yolotzin Valdespino-Vázquez, Horacio Merchant-Larios, David M Giraldo-Gomez, Arturo Flores-Pliego, Diana L. Díaz-Pérez, Cecilia A. Helguera-Repetto, Oscar Villavicencio-Carrisoza, Manuel Cortés-Bonilla, Elba Carrasco-Ramírez, Claudine Irles, Martha Yocupicio-Monroy, Moisés León-Juárez, Elsa Romelia Moreno-Verduzco, Irma López-Martínez, Rosalia Lira, Jorge Arturo Cardona-Pérez, Isabel Villegas-Mota, Sandra Acevedo-Gallegos, Mario Rodríguez-Bosch, and Edgar E. Sevilla-Reyes
Subjects: Adult, placenta, viruses, miscarriage, medicine.disease_cause, Miscarriage, 03 medical and health sciences, 0302 clinical medicine, COVID‐19, Pregnancy, Virology, Placenta, Medicine, Humans, 030212 general & internal medicine, Pregnancy Complications, Infectious, Research Articles, Coronavirus, Fetus, Lung, business.industry, SARS-CoV-2, Pregnancy Outcome, COVID-19, medicine.disease, Reverse transcriptase, Infectious Disease Transmission, Vertical, Abortion, Spontaneous, fetus, Pregnancy Trimester, First, Infectious Diseases, medicine.anatomical_structure, Immunology, embryonic structures, Immunohistochemistry, RNA, Viral, 030211 gastroenterology & hepatology, Female, Pregnant Women, business, first trimester, Research Article
Abstract: To date, mother‐to‐fetus transmission of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), responsible for the coronavirus disease 2019 (COVID‐19) pandemic, remains controversial. Although placental COVID‐19 infection has been documented in some cases during the second‐ and third‐trimesters, no reports are available for the first trimester of pregnancy, and no SARS‐CoV‐2 protein has been found in fetal tissues. We studied the placenta and fetal organs from an early pregnancy miscarriage in a COVID‐19 maternal infection by immunohistochemical, reverse transcription quantitative real‐time polymerase chain reaction, immunofluorescence, and electron microscopy methods. SARS‐CoV‐2 nucleocapsid protein, viral RNA, and particles consistent with coronavirus were found in the placenta and fetal tissues, accompanied by RNA replication revealed by double‐stranded RNA (dsRNA) positive immunostain. Prominent damage of the placenta and fetal organs were associated with a hyperinflammatory process identified by histological examination and immunohistochemistry. The findings provided in this study document that congenital SARS‐CoV‐2 infection is possible during the first trimester of pregnancy and that fetal organs, such as lung and kidney, are targets for coronavirus. The infection and multi‐organic fetal inflammation produced by SARS‐CoV‐2 during early pregnancy should alert clinicians in the assessment and management of pregnant women for possible fetal consequences and adverse perinatal outcomes.
Published: 2021

35. Older survivors of cancer in the COVID-19 pandemic: Reflections and recommendations for future care

Author: Michael Brundage, Christopher M. Booth, Shaila J. Merchant, Kristen R. Haase, Rachel Koven, Jacqueline Galica, and Danielle Kain
Subjects: Male, Gerontology, Breast Neoplasms, Survivorship, Article, 03 medical and health sciences, Social support, 0302 clinical medicine, Cancer Survivors, Survivorship curve, Pandemic, medicine, Humans, 030212 general & internal medicine, Personal Protective Equipment, Personal protective equipment, Qualitative Research, Cancer, Aged, Aged, 80 and over, SARS-CoV-2, business.industry, COVID-19, Social Support, Qualitative methods, Middle Aged, medicine.disease, Comorbidity, Telemedicine, Oncology, Older adults, 030220 oncology & carcinogenesis, Female, Geriatrics and Gerontology, Thematic analysis, Colorectal Neoplasms, business, Attitude to Health, Delivery of Health Care, Qualitative research
Abstract: Purpose Although the year after cancer treatment is challenging for all cancer survivors, older adults (≥60 years) face additional challenges due to age-related decline and high rates of comorbidity. There is a paucity of research on how health service interruptions from the COVID-19 pandemic have impacted the experience of older cancer survivors. In this study we explore older cancer survivors' reflections on the pandemic and their suggestions for future care delivery when traditionally offered resources are not available. Methods We conducted 1:1 telephone interviews with adults 60 years and older previously diagnosed with breast and colorectal cancer and recently (≤12 months) discharged from their cancer care team. We analyzed the data using descriptive thematic analysis. Results The mean sample (n = 30) age was 72.1 years (SD 5.8, Range 63–83) of whom 57% identified as female. Participants described personal and societal implications of the pandemic. that affected their ability to navigate social support, and public and clinical landscapes. These reflections informed their suggestions for future health care delivery, such as how they could have been better prepared to self-manage their post-cancer treatment journey. Participants recommendations were grouped into four sub-themes: 1) enhanced baseline information; 2) facilitate caregiver support and engagement; 3) greater technology integration; and 4) sustained use and public appreciation of personal protective equipment. Conclusion Older cancer survivors appreciate the needed shift to virtual appointments and services during the COVID-19 pandemic. Specific strategies to bolster older adults existing strengths and improve their readiness to engage in these measures are critical.
Published: 2021

36. Prevalence of Anemia and Its Association with Frailty, Physical Function and Cognition in Community-Dwelling Older Adults: Findings from the HOPE Study

Author: M. Z. Chen, C. Y. C. Yip, S. Y. Lee, Chun-Tsu Lee, E. S. Yap, and Reshma A. Merchant
Subjects: Population ageing, Activities of daily living, 030309 nutrition & dietetics, Anemia, Population, Medicine (miscellaneous), Southeast asian, 03 medical and health sciences, Grip strength, Cognition, 0302 clinical medicine, Prevalence, medicine, Humans, 030212 general & internal medicine, education, Geriatric Assessment, Aged, 0303 health sciences, education.field_of_study, Nutrition and Dietetics, Frailty, business.industry, Anthropometry, medicine.disease, Cross-Sectional Studies, Independent Living, Hemoglobin, Geriatrics and Gerontology, business, Demography
Abstract: The prevalence of anemia and its impact on frailty and physical function amongst the multiethnic older populations in the Southeast Asian (SEA) countries are often not well studied. Singapore, a nation comprised of multiethnic communities, is one of the most rapidly aging population globally. We aim to evaluate the prevalence of anemia and its impact on frailty, and physical function in Healthy Older People Everyday (HOPE)- an epidemiologic population-based study on community-dwelling older adults in Singapore. Cross-sectional study. Community. 480 adults ≥ 65 years old. Data were collected from interviewers-administered questionnaires on socio-demographics, FRAIL scale, Mini-Mental State Examination, EQ-5D, Barthel Index, and Lawton index. Hemoglobin concentration and physical assessments, including anthropometry, grip strength, timed up-and-go (TUG) were measured. The overall prevalence of anemia was 15.2% (73 out of 480). The Indian ethnic group had the highest prevalence of anemia (32%, OR=3.02; 95%CI= 1.23–7.41) with the lowest hemoglobin concentration compared to the overall population (13.0±1.3g/L and 13.5±1.4g/L, p=0.02). Hemoglobin levels and anemia were significantly associated with frailty (OR=2.28; 95% CI=1.02–5.10), low grip strength (OR=1.79; 95% CI=1.01–3.03), ≥ one IADL impairment (OR=2.35; 95% CI=1.39–3.97). Each 1 g/dL increase in hemoglobin was associated with a 6% decrease in frailty odds after adjusting for potential covariates (OR = 0.94, 95% CI: 0.90–0.99). There was a significant difference in the mean TUG between the non-anemic (11.0±3.4 seconds) and anemic (12.3±6.0 seconds, p=0.01) counterparts, but no difference in the number of falls. In our multiethnic Asian population, anemia was adversely associated with frailty, decreased muscle strength, and IADL impairment. Health policies on anemia screening should be employed to avoid or potentially delay or reverse these adverse outcomes associated with anemia. Recognition, evaluation, and treatment of anemia amongst this vulnerable population is warranted.
Published: 2021

37. Relevance of Molecular Groups in Children with Newly Diagnosed Atypical Teratoid Rhabdoid Tumor: Results from Prospective St. Jude Multi-institutional Trials

Author: Sridharan Gururangan, David W. Ellison, Ibrahim Qaddoumi, Sandeep Kumar Dhanda, Santhosh A. Upadhyaya, Robert P. Sanders, Tim Hassall, Marcel Kool, Pascal Johann, Arzu Onar-Thomas, Anne Bendel, Catherine A. Billups, Gang Wu, Anna Vinitsky, Zoltan Patay, Sonia Partap, Daniel J. Indelicato, Gregory T. Armstrong, Ashok Srinivasan, John R. Crawford, Paul G. Fisher, Paul Klimo, Giles W. Robinson, Alberto Broniscer, Eric Bouffet, Frederick A. Boop, Kim E. Nichols, Ruth G. Tatevossian, Roya Mostafavi, Murali Chintagumpala, Brent A. Orr, Amar Gajjar, and Thomas E. Merchant
Subjects: Male, 0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, DNA Copy Number Variations, Adjuvant chemotherapy, Newly diagnosed, Disease, Article, Diagnosis, Differential, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Antineoplastic Combined Chemotherapy Protocols, Biomarkers, Tumor, medicine, Overall survival, Humans, SMARCB1, Child, Germ-Line Mutation, Rhabdoid Tumor, business.industry, Teratoma, Disease Management, Infant, SMARCB1 Protein, DNA Methylation, Prognosis, medicine.disease, Clinical trial, Treatment Outcome, 030104 developmental biology, Methylation profiling, Child, Preschool, 030220 oncology & carcinogenesis, Mutation, Atypical teratoid rhabdoid tumor, Female, Disease Susceptibility, business
Abstract: Purpose: Report relevance of molecular groups to clinicopathologic features, germline SMARCB1/SMARCA4 alterations (GLA), and survival of children with atypical teratoid rhabdoid tumor (ATRT) treated in two multi-institutional clinical trials. Materials and Methods: Seventy-four participants with newly diagnosed ATRT were treated in two trials: infants (SJYC07: age < 3 years; n = 52) and children (SJMB03: age 3–21 years; n = 22), using surgery, conventional chemotherapy (infants), or dose-dense chemotherapy with autologous stem cell rescue (children), and age- and risk-adapted radiotherapy [focal (infants) and craniospinal (CSI; children)]. Molecular groups ATRT-MYC (MYC), ATRT-SHH (SHH), and ATRT-TYR (TYR) were determined from tumor DNA methylation profiles. Results: Twenty-four participants (32%) were alive at time of analysis at a median follow-up of 8.4 years (range, 3.1–14.1 years). Methylation profiling classified 64 ATRTs as TYR (n = 21), SHH (n = 30), and MYC (n = 13), SHH group being associated with metastatic disease. Among infants, TYR group had the best overall survival (OS; P = 0.02). However, outcomes did not differ by molecular groups among infants with nonmetastatic (M0) disease. Children with M0 disease and Conclusions: Among infants, those with ATRT-TYR had the best OS. ATRT-SHH was associated with metastases and consequently with inferior outcomes. Children with nonmetastatic ATRT benefit from postoperative CSI and adjuvant chemotherapy.
Published: 2021

38. Prescribing trends of oral anticoagulants in England over the last decade: a focus on new and old drugs and adverse events reporting

Author: Hamid A. Merchant, Syed Shahzad Hasan, Zaheer-Ud-Din Babar, Syed Tabish R. Zaidi, and Saima Afzal
Subjects: INR, medicine.medical_specialty, Drug-Related Side Effects and Adverse Reactions, medicine.drug_class, Population, Administration, Oral, Article, medicine, Humans, Practice Patterns, Physicians', Medical prescription, education, Adverse effect, education.field_of_study, business.industry, Anticoagulant, Warfarin, Anticoagulants, Atrial fibrillation, Hematology, Vitamin K antagonist, medicine.disease, Prescriptions trends, Stroke, England, Emergency medicine, Apixaban, Cardiology and Cardiovascular Medicine, business, Direct-acting oral anticoagulants (DOACs), Factor Xa Inhibitors, medicine.drug
Abstract: Direct-acting oral anticoagulants (DOACs) are replacing conventional VKA (vitamin K antagonist, i.e., warfarin) for various indications where a therapeutic anticoagulant effect is desired. We evaluated the prescribing patterns of the DOACs and warfarin, cost implications of the increasing DOACs prescribing, and deduce the reporting of serious and fatal events, during 2009–2019 in primary care England. Prescriptions and fatal or serious adverse events reporting data, between 2009 and 2019 were analysed, using linear regression to examine the trends in prescriptions, costs, and serious and fatal events reporting. We also compared the prescribing trends of four direct-acting oral anticoagulants and warfarin, normalised to per 1000 clinical commissioning group (CCG) patient population for the year 2019 to better understand the regional differences in DOACs prescribing. The overall use of any DOACs (as a proportion of total anticoagulants) increased from 16% in 2015 to 62% in 2019 with an average increase of 87% (95% CI 83.1, 90.5) per year. The reporting of serious and fatal events associated with DOACs decreased by 6% (95% CI 12.5, − 0.1) per year. Apixaban is by far the most prescribed with an average drug cost increasing to 156% (95% CI 140, 172) per year. In England, the lowest anticoagulant prescribing region was Greater London whereas the highest prescribing regions were Yorkshire and Humber for DOACs and the East Midlands for warfarin. Interestingly, Lancashire, Merseyside, and Cheshire showed a higher usage for warfarin over DOACs. The differing prescription patterns could be a result of changes in national guidelines and increasing population. Nevertheless, DOACs appear to make an increasing contribution to total anticoagulant prescription items and costs. Supplementary Information The online version of this article (10.1007/s11239-021-02416-4) contains supplementary material, which is available to authorized users.
Published: 2021

39. Do Anxiety and Mood Vary among Disparate Sleep Profiles in Youth with Craniopharyngioma? A Latent Profile Analysis

Author: Molly E Wickenhauser, Kathryn M. Russell, Sara M. Witcraft, Valerie McLaughlin Crabtree, Thomas E. Merchant, Heather M. Conklin, and Belinda N. Mandrell
Subjects: Adult, Hypothalamo-Hypophyseal System, Adolescent, Neuroscience (miscellaneous), Pituitary-Adrenal System, Medicine (miscellaneous), Excessive daytime sleepiness, Anxiety, Craniopharyngioma, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Humans, Medicine, Pituitary Neoplasms, Child, Depression (differential diagnoses), business.industry, medicine.disease, Sleep in non-human animals, Mood, 030228 respiratory system, Child, Preschool, Neurology (clinical), Psychology (miscellaneous), Sleep onset latency, medicine.symptom, Sleep onset, Sleep, business, 030217 neurology & neurosurgery, Clinical psychology
Abstract: Craniopharyngioma is a histologically benign brain tumor that arises in the suprasellar region affecting critical neurovascular structures including the hypothalamic-pituitary-adrenal axis and optic pathways. Children with craniopharyngioma often experience excessive daytime sleepiness which may be compounded by anxiety and depression. The current study investigated disparate sleep profiles to better understand psychological adjustment among children diagnosed with craniopharyngioma. Method: Actigraphs recorded nightly sleep data, including measures of sleep onset latency and wake after sleep onset, in a cohort of 80 youth between the ages of 2 and 20 years (median age = 9). Parent reports of behavioral and emotional functioning were included in the analysis. A latent profile analysis examined disparate sleep profiles, and a multinomial logistic regression examined differences of anxiety and depression among the sleep profiles. Results: The latent profile analysis revealed three sleep profiles: "variable sleepers" (48.3%), "consistently poor sleepers" (45.4%), and "night wakers" (6.4%). Consistently poor sleepers had lower rates of anxiety (g = .76; p = .009) and depression (g = .81; p = .003) than variable sleepers and had significantly lower rates of anxiety than night wakers (g = .52; p = .05); all other differences were nonsignificant (ps > .05). Discussion: Youth with craniopharyngioma who have nightly variations in sleep may have worse psychological functioning than those with more consistent, albeit poor, sleep patterns. Patients with craniopharyngioma who report variable sleep should be assessed for anxiety and depression to prevent and intervene on emotional difficulties that may be reciprocally related to sleep.
Published: 2021

40. Social–Emotional Functioning in Preschool-Aged Children With Cancer: Comparisons Between Children With Brain and Non-CNS Solid Tumors

Author: Rachel C. Brennan, Jennifer L. Harman, Anna Vinitsky, Bethany Means, Heather M. Conklin, Victoria W. Willard, Thomas E. Merchant, and Mallorie Gordon
Subjects: Male, Adolescent, Emotions, Brain tumor, Pilot Projects, NIH Toolbox, 03 medical and health sciences, 0302 clinical medicine, Social skills, Conflict resolution, Developmental and Educational Psychology, medicine, Humans, 0501 psychology and cognitive sciences, Child, Brain Neoplasms, business.industry, 05 social sciences, Brain, Cancer, medicine.disease, Social relation, Prosocial behavior, Child, Preschool, 030220 oncology & carcinogenesis, Pediatrics, Perinatology and Child Health, Normative, Female, business, Social Adjustment, 050104 developmental & child psychology, Clinical psychology
Abstract: Objectives The preschool years (ages 4–6) are essential for the development of social–emotional skills, such as problem solving, emotion regulation, and conflict resolution. For children with cancer treated during this period, especially those with brain tumors, there are questions regarding the consequences of missed normative social experiences. The objective of this pilot study was to explore the social–emotional functioning of young children with brain tumors, as compared to those with non-CNS solid tumors, who have recently completed treatment. Methods Children with brain (n = 23) or solid tumors (n = 20) 4–6 years of age (5.42 ± 0.73 years; 60.5% male, 65.1% white) who were 8.21 (SD = 2.42) months post-treatment completed objective measures (Challenging Situations Task, NEPSY-II) of social functioning while a caregiver completed questionnaires (e.g., BASC-3, NIH Toolbox Emotion Measures). Results A large portion of the sample (brain tumor: 65.2%, solid tumor: 44.4%) fell in the clinical range on parent-report measures of peer interaction. There were no statistically significant differences between patient groups across measures, but effect sizes suggest youth with brain tumors potentially experienced more difficulties on some indices. All children were more likely to choose prosocial responses when presented with a challenging social situation where they were physically provoked (e.g., hit) versus socially provoked (e.g., left out). Conclusions Preschool-aged children with cancer may experience weaknesses in social functioning shortly after treatment, with youth with brain tumors potentially demonstrating greater concerns. Emphasizing social interaction is critical to ensure young children have the opportunity to develop critical social–emotional skills.
Published: 2021

41. Perioperative blood transfusion and resection of colorectal cancer liver metastases: outcomes in routine clinical practice

Author: Christopher M. Booth, Sulaiman Nanji, Shaila J. Merchant, Kelly Brennan, Zuhaib M. Mir, Sunil V. Patel, and Safiya Karim
Subjects: medicine.medical_specialty, Blood transfusion, Colorectal cancer, medicine.medical_treatment, 030230 surgery, Resection, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Hepatectomy, Humans, Blood Transfusion, Routine clinical practice, Retrospective Studies, Ontario, Hepatology, Proportional hazards model, business.industry, Liver Neoplasms, Gastroenterology, Cancer, Perioperative, medicine.disease, Cancer registry, Survival Rate, 030220 oncology & carcinogenesis, Colorectal Neoplasms, business
Abstract: Prior work has shown associations between blood transfusion (BT) and inferior outcomes during resection for colorectal cancer liver metastases (CRLM). Herein, we describe short and long-term outcomes relating to perioperative BT in routine clinical practice.All CRLM resections in Ontario, Canada from 2002 to 2009 were identified using the Ontario Cancer Registry. Log-binomial regression and Cox regression were used to explore factors associated with receipt of BT and the association of BT with 5-year cancer specific (CSS) and overall survival (OS), respectively.The study included 1310 patients; 31% (403/1310) had perioperative BT. Transfused patients had longer median length of stay (9 vs. 7 days, p 0.001), higher 90-day mortality (9% vs. 1%, p 0.001), greater 90-day readmission (28% vs. 16%, p 0.001), and inferior 5-year CSS (41% vs. 48%, p = 0.001) and OS (38% vs. 47%, p 0.001). Transfusion was independently associated with inferior CSS (HR = 1.35, 95% CI: 1.11-1.63) and OS (HR = 1.30, 95% CI: 1.10-1.53), however, excluding 90-day postoperative deaths showed these associations were no longer significant.Perioperative BT is common in patients undergoing resection of CRLM. While transfusion is associated with greater morbidity, mortality, and inferior survival, after excluding early postoperative deaths, BT does not appear to be independently associated with CSS or OS.
Published: 2021

42. The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair

Author: Aziz M. Merchant, Jeff Gao, and Pavel Zagadailov
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, Hernia, Inguinal, Logistic regression, Patient Readmission, Risk Assessment, Young Adult, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Hernia surgery, Risk Factors, medicine, Humans, Hospital Mortality, Risk factor, Herniorrhaphy, Aged, Aged, 80 and over, Artificial neural network, Receiver operating characteristic, business.industry, Significant difference, Middle Aged, Surgical procedures, equipment and supplies, medicine.disease, Quality Improvement, Surgery, body regions, Inguinal hernia, Logistic Models, Treatment Outcome, Elective Surgical Procedures, 030220 oncology & carcinogenesis, Feasibility Studies, Female, 030211 gastroenterology & hepatology, Neural Networks, Computer, business
Abstract: Background Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal hernia repair. Materials and methods The American College of Surgeons National Surgical Quality Improvement Program was used to find patients who underwent inguinal hernia repair. Using logistic regression and ANN models, we evaluated morbidity, readmission, and mortality using the area under the receiver operating characteristic curves, true-positive rate, true-negative rate, false-positive rate, and false-negative rates. Results There was no significant difference in the power of the ANN and logistic regression for predicting mortality, readmission, and all morbidities after inguinal hernia repair. Risk factors for morbidity, readmission, and mortality outcomes identified using ANN were consistent with logistic regression analysis. Conclusions ANNs perform comparably to logistic regression models in the prediction of outcomes after inguinal hernia repair. ANNs may be a useful tool in risk factor analysis of hernia surgery and clinical applications.
Published: 2021

43. Anorexia of Ageing: Pathway to Frailty and Sarcopenia

Author: John E. Morley, Jean Woo, and Reshma A. Merchant
Subjects: Gerontology, Nutrition and Dietetics, Geriatrics gerontology, business.industry, Medicine (miscellaneous), Anorexia, medicine.disease, Ageing, Sarcopenia, medicine, Geriatrics and Gerontology, medicine.symptom, business, Quality of Life Research
Published: 2021

44. <scp>ACR BI‐RADS</scp> Category 3 Lesions in Women Younger Than 30: Follow‐up Outcomes and Factors Associated With Biopsy

Author: Jody C. Hayes, Lena Omar, Lindsay Compton, Dogan Polat, Yin Xi, Basak E. Dogan, and Kanwal A. Merchant
Subjects: medicine.medical_specialty, 030219 obstetrics & reproductive medicine, Radiological and Ultrasound Technology, Bi rads 3, medicine.diagnostic_test, business.industry, Biopsy, Breast Neoplasms, BI-RADS, Malignancy, medicine.disease, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Cohort, medicine, Humans, Female, Radiology, Nuclear Medicine and imaging, Young female, business, Follow-Up Studies, Retrospective Studies
Abstract: Investigate imaging follow-up patterns and assessment of malignancy rate of BI-RADS 3 lesions in women younger than 30 years.We retrospectively reviewed consecutive studies between January 1, 2013 and January 1, 2015 with BI-RADS 3 assessment in women30 years. Lesion size, follow-up rate, and biopsy rate were recorded. Completion of 24-month imaging follow-up or biopsy determined the endpoint. Statistical analysis of follow-up rates and biopsy timing was performed.Of 2525 BI-RADS 3 lesions, 278 were identified in 215 women30 years. Fifty-two (24%) women underwent a biopsy which was more frequently done at patient request than for lesion growth [33 (63.4%) versus 19 (36.5%), P.01]. The odds of having biopsy upfront was significantly higher in lesions2 cm in diameter (OR: 4.4 [95% CI 2.1-9.4], P.01). The malignancy rate in our cohort was 0% (95% CI 0-1.7%). Of the 188 women expected for follow-up imaging, 58 (30%) were lost to follow-up, while 103 (55%) had 6-month follow-up, 74 (39%) 12-month follow-up, and 56 (30%) 24-month follow-up.BI-RADS 3 lesions identified in our cohort had high biopsy rates and low compliance with no cancers. Our findings suggest that probable fibroadenomas in young women may only warrant abbreviated short-term follow-up at 6-months.
Published: 2021

45. Abstract PS1-24: Symmetry of breasts following reconstructive surgery

Author: Thao Bui, Urmila Sampathkumar, Mia K. Markey, Zhale Nowroozilarki, Gregory P. Reece, Mary Catherine Borders, Summer E. Hanson, Jun Liu, and Fatima A. Merchant
Subjects: Cancer Research, education.field_of_study, Reconstructive surgery, medicine.medical_specialty, business.industry, medicine.medical_treatment, Population, Cancer, Mastopexy, medicine.disease, Breast cancer, Oncology, Medicine, Implant, business, Nuclear medicine, education, Breast reconstruction, Mastectomy
Abstract: INTRODUCTION Breast reconstruction surgery is an integral part of breast cancer treatment that aims to restore breast appearance after mastectomy. We assessed breast symmetry following breast reconstruction using measures of distance and volume. MATERIAL AND METHODS Patients undergoing breast reconstruction surgery were enrolled in an IRB approved study from 2011 to 2014 at The University of Texas MD Anderson Cancer Center. We utilized pre- and post-operative 3D surface images (3dMDtorso, 3dMD LLC, Atlanta, GA) from 53 women who had completed the breast reconstruction process (83% at 18 months (M), 9.4% at 12M and 7.6% at 9M). Patients provided approved consent. Thirty-six women had bilateral and 17 had unilateral surgery. Eleven patients in the unilateral group had symmetry surgery on the contralateral breast (5 had mastopexy, 4 had reduction, 1 had augmentation, and 1 had augmentation and mastopexy). Within the bilateral group, 9 patients underwent autologous reconstruction, 21 received implants, and 6 had mixed (autologous and implant) procedures. Within the unilateral group, there were 10 implant and 7 autologous reconstructions. We measured the sternal notch (SN) to lowest visible point (LVP) distance and volume for each breast. Breast symmetry was assessed using 1) Difference between the left and right breasts for the SN-LVP distance and volume measures, 2) SN-LVP distance ratio and volume ratio computed using values for the left and right breast. The smaller value was divided by the larger, so that a ratio of 1.0 indicated perfect symmetry [1]. Differences < 5 mm for SN-LVP distance and < 50 cc for breast volume were used as indicators of symmetry [1]. RESULTS Overall, pre-operatively 50.9% patients showed a SN-LVP difference < 5 mm compared to 35.9% post-operatively, whereas 43.4% showed a breast volume difference < 50 cc pre-operatively compared to 62.3% post-operatively. Mean pre- and post-operative SN-LVP distance ratios were found to be 0.97 ± 0.03 and 0.96 ± 0.03, respectively, whereas the breast volume ratios were 0.91 ± 0.06 and 0.92 ± 0.08, respectively. Shapiro-Wilk tests showed non-normal distribution for both ratios; thus, non-parametric analysis was performed using Mann-Whitney U-test and, for matched pairs, the Wilcoxon Matched Pairs Sign-Ranked test. For both distance and volume ratios, we failed to reject the null hypothesis that the median of the paired differences between the pre- and post-operative values was zero. Also, no significant differences were found for both ratios when comparing autologous and implant-based surgeries. Bilateral reconstructions were compared to unilateral procedures that included a contralateral symmetry procedure. Significantly higher distance ratios (0.97 ± 0.03, median of 0.98, p = 0.005) were found for bilateral reconstructions compared to unilateral (0.94 ± 0.04, median of 0.94), but no differences in volume ratios were noted. Significant differences were noted for both distance (p = 0.033) and volume (p = 0.009) ratios when comparing bilateral (distance: 0.96 ± 0.02, median of 0.97 and volume: 0.96 ± 0.03, median of 0.97) to unilateral implant-based reconstructions (distance: 0.93 ± 0.04, median of 0.94 and volume: 0.91 ± 0.05, median of 0.90), but no difference in symmetry was found between unilateral and bilateral autologous reconstructions. CONCLUSION Distance symmetry was noted in a higher percentage of the pre-operative population compared to post-operative, whereas a larger proportion of the post-operative patients showed volume symmetry compared to the pre-operative group. Implant-based bilateral procedures showed improved symmetry compared to the unilateral procedures. REFERENCES 1.Cheong AL, Liu J, Reece GP, Nicklaus KM, Bordes MC, Hanson SE, Markey MK, Merchant, FA “Natural Breast Symmetry in Preoperative Breast Cancer Patients”, Plastic and Reconstructive Surgery - Global Open: 2019;7(7):e2297. Citation Format: Thao Bui, Urmila Sampathkumar, Zhale Nowroozilarki, Jun Liu, Mary Catherine Borders, Summer E Hanson, Gregory P Reece, Mia K Markey, Fatima A Merchant. Symmetry of breasts following reconstructive surgery [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS1-24.
Published: 2021

46. Establishing a Case for Anti-complement Therapy in Membranous Nephropathy

Author: Sergey V. Brodsky, John P. Shapiro, Xiaolan Lily Zhang, Salem Almaani, Michael L. Merchant, Anjali A. Satoskar, Cherri Bott, John Klein, Juan M. Mejia-Vilet, Daniel J. Birmingham, Brad H. Rovin, Samir V. Parikh, Lianbo Yu, Tibor Nadasdy, Sethu Madhavan, Huijuan Song, and Isabelle Ayoub
Subjects: complement protein, Pathology, medicine.medical_specialty, 030232 urology & nephrology, 030204 cardiovascular system & hematology, lcsh:RC870-923, 03 medical and health sciences, 0302 clinical medicine, Complement Receptor Type 1, Membranous nephropathy, Translational Research, medicine, Kidney, biology, business.industry, membranous nephropathy, proteomic analysis, lcsh:Diseases of the genitourinary system. Urology, medicine.disease, Complement system, medicine.anatomical_structure, Nephrology, Lectin pathway, biology.protein, Vitronectin, business, Complement membrane attack complex, Kidney disease
Abstract: Introduction Membranous nephropathy (MN) is a common cause of adult nephrotic syndrome that progresses to end-stage kidney disease in up to 40% of cases. It is an autoimmune disease characterized by glomerular subepithelial deposits containing IgG. In experimental MN, these deposits activate complement and cause kidney damage. The role of complement in human MN is less clearly defined. To address this, the current study focused on the role of complement in 2 independent primary (p) MN cohorts. Methods Glomeruli were isolated by laser capture microdissection and analyzed by mass spectrometry, focusing on complement proteins, from kidney biopsy specimens from a pMN cohort (n = 11) and from normal controls (n = 5). Immunohistological staining of kidney biopsy specimens for complement proteins was also done. In a second pMN cohort (n = 13), urine levels of Ba, C5a, and C5b-9 (membrane attack complex [MAC]) were measured. Results Mass spectrometry identified 8 complement pathway components (C1q, C3, C4, C5, C6, C7, C8, and C9) and 5 complement regulators (complement receptor type 1 [CR1], factor H [FH], FH-related protein 2 [FHR2], vitronectin, and clusterin). All complement levels were significantly higher in the MN groups than in the control group, except the level of CR1, which was lower. All pMN biopsy specimens showed negative or trace staining for C1q, positive staining for C3 and C4, and positive staining for at least 1 component of the lectin pathway. Urine Ba, C5a, and MAC were present in pMN, and their levels correlated (rBa,C5a = 0.87, rBa,MAC = 0.89, and rC5a,MAC = 0.97, P = .001 for each correlation). Conclusion Elevated glomerular levels of C3, C4, and components of MAC (C5b-9) and absent or decreased levels of the complement regulator CR1, along with increased levels of complement activation products in the urine, support the involvement of complement in the pathogenesis of MN. These data raise the possibility that anti-complement therapies may be effective in some forms of MN., Graphical abstract
Published: 2021

47. The Influence of Religious Participation and Use of Traditional Medicine on Type 2 Diabetes Control in Urban Ghana

Author: Lambert Tetteh Appiah, Rachel E. Davis, Marian Botchway, Spencer Moore, and Anwar T. Merchant
Subjects: medicine.medical_specialty, endocrine system diseases, Control (management), Medical pluralism, 050109 social psychology, Type 2 diabetes, Ghana, 03 medical and health sciences, Hba1c level, 0302 clinical medicine, Intervention (counseling), Medicine, 0501 psychology and cognitive sciences, 030212 general & internal medicine, Disease management (health), Gezondheid en Maatschappij, General Nursing, Religious participation, Traditional medicine, business.industry, Public health, 05 social sciences, Religious studies, nutritional and metabolic diseases, Type 2 Diabetes Mellitus, General Medicine, medicine.disease, Health and Society, Increased HbA1c levels, business
Abstract: This study examined whether the frequency of participation in religious activities and seeking care from spiritual and other traditional medicine (TM) practitioners were associated with blood glucose (HbA1c) control among urban Ghanaians with type 2 diabetes mellitus (T2DM). Findings revealed that increased frequency of participation in religious activities was significantly associated with decreased HbA1c levels, whereas increased use of TM practitioners was significantly associated with increased HbA1c levels. These findings suggest that strategically integrating religious activities into disease management plans for Ghanaians with T2DM who identify as being religious may be a viable intervention mechanism.
Published: 2021

48. Overcoming disparities: Multidisciplinary breast cancer care at a public safety net hospital

Author: Emily L. Ryon, Nipun B. Merchant, Ahkeel Allen, Mecker G. Möller, Erin Kobetz, Dido Franceschi, Kristin N. Kelly, Susan B. Kesmodel, Eli Avisar, and Neha Goel
Subjects: 0301 basic medicine, Cancer Research, medicine.medical_specialty, Safety net, medicine.medical_treatment, Population, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Multidisciplinary approach, Internal medicine, medicine, Stage (cooking), education, Socioeconomic status, Survival analysis, Chemotherapy, education.field_of_study, business.industry, Cancer, medicine.disease, 030104 developmental biology, Oncology, Family medicine, 030220 oncology & carcinogenesis, Surgery, business
Abstract: Public safety net hospitals (SNH) serve a disparate patient population; however, little is known about long-term oncologic outcomes of patients receiving care at these facilities. This study is the first to examine overall survival (OS) and the initiation of treatment in breast cancer patients treated at a SNH. Patients presenting to a SNH with stage I-IV breast cancer from 2005 to 2017 were identified from the local tumor registry. The hospital has a weekly breast tumor board and a multidisciplinary approach to breast cancer care. Kaplan-Meier survival analysis was performed to identify patient, tumor, and treatment characteristics associated with OS. Factors with a p 70 years, higher grade, and non-Hispanic ethnicity were associated with worse OS. Patients receiving surgery (HR = 0.33, p
Published: 2021

49. Coping during COVID-19: a mixed methods study of older cancer survivors

Author: Michael Brundage, Danielle Kain, Shaila J. Merchant, Ziwei Liu, Jacqueline Galica, Kristen R. Haase, Christopher M. Booth, and Rachel Koven
Subjects: Gerontology, Coping (psychology), Mixed methods, Coping skills, Coronavirus disease 2019 (COVID-19), business.industry, Nursing research, Cancer, Qualitative property, medicine.disease, 03 medical and health sciences, Coping behaviors, 0302 clinical medicine, Oncology, Older adults, 030220 oncology & carcinogenesis, Survivorship curve, Pandemic, Medicine, Original Article, 030212 general & internal medicine, Thematic analysis, Qualitative, business
Abstract: Purpose Older cancer survivors are among the most vulnerable to the negative effects of COVID-19 and may need specific survivorship supports that are unavailable/restricted during the pandemic. The objective of this study was to explore how older adults (≥ 60 years) who were recently (≤ 12 months) discharged from the care of their cancer team were coping during the pandemic. Methods We used a convergent mixed method design (QUAL+quan). Quantitative data were collected using the Brief-COPE questionnaire. Qualitative data were collected using telephone interviews to explore experiences and strategies for coping with cancer-related concerns. Results The mean sample age (n = 30) was 72.1 years (SD 5.8, range 63–83) of whom 57% identified as female. Participants’ Brief-COPE responses indicated that they commonly used acceptance (n = 29, 96.7%), self-distraction (n = 28, 93.3%), and taking action (n = 28, 93.3%) coping strategies. Through our descriptive thematic analysis, we identified three themes: (1) drawing on lived experiences, (2) redeploying coping strategies, and (3) complications of cancer survivorship in a pandemic. Participants’ coping strategies were rooted in experiences with cancer, other illnesses, life, and work. Using these strategies during the pandemic was not new—they were redeployed and repurposed—although using them during the pandemic was sometimes complicated. These data were converged to maximize interpretation of the findings. Conclusions Study findings may inform the development or enhancement of cancer and non-cancer resources to support coping, particularly using remote delivery methods within and beyond the pandemic. Clinicians can engage a strengths-based approach to support older cancer survivors as they draw from their experiences, which contain a repository of potential coping skills.
Published: 2021

50. Neonatal abstinence syndrome: management and current concepts

Author: Nazakat Merchant and Uttara Kurup
Subjects: medicine.medical_specialty, Neonatal withdrawal, business.industry, medicine.disease, Integrated care, Pharmacological treatment, 03 medical and health sciences, 0302 clinical medicine, Neonatal abstinence, In utero, 030225 pediatrics, Intervention (counseling), Pediatrics, Perinatology and Child Health, Metabolic rate, medicine, 030212 general & internal medicine, Medical diagnosis, Intensive care medicine, business
Abstract: Neonatal abstinence syndrome (NAS), a constellation of predominantly autonomic, neurological and gastrointestinal symptoms, is caused by neonatal withdrawal from in utero exposure of maternal misuse of illicit or prescribed drugs. The severity of NAS depends on time, type and combination of drugs taken and the feto-maternal metabolic rate. The physical and psychological consequences of NAS are manifold, contributing to the difficulty in its diagnosis and management. Most babies exposed to opioids in utero require some form of treatment, either supportive or pharmacological treatment. Treatment is guided using standardised clinical scoring systems the most common being the Modified Finnegan Score. Although NAS is diagnosed clinically other possible diagnoses must be considered and toxicological confirmation is often helpful. The long-term neurodevelopmental side effects of NAS are yet to be fully explored. Early multidisciplinary intervention is required, and family integrated care should be actively encouraged. This paper summarises the symptomatology, investigations and current proposed management of NAS.
Published: 2021

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