Author: "Mohamad El Moheb" - Searchworks@Jio Institute Digital Library Search Results

71 results on '"Mohamad El Moheb"'

1. Taiwan Atrial Fibrillation Score: A New Clinical Tool for Predicting New Onset Atrial Fibrillation in Asian Populations

Author: Mohamad El Moheb and Marwan M. Refaat
Subjects: Editorials, atrial fibrillation, cardiac arrhythmias, cardiovascular diseases, heart diseases, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published: 2021
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2. POTTER-ICU: An artificial intelligence smartphone-accessible tool to predict the need for intensive care after emergency surgery

Author: Anthony Gebran, Annita Vapsi, Lydia R. Maurer, Mohamad El Moheb, Leon Naar, Sumiran S. Thakur, Robert Sinyard, Dania Daye, George C. Velmahos, Dimitris Bertsimas, and Haytham M.A. Kaafarani
Subjects: Adult, Male, Intensive Care Units, Postoperative Complications, Critical Care, Artificial Intelligence, Humans, Female, Surgery, Smartphone, Middle Aged, Retrospective Studies
Abstract: Delays in admitting high-risk emergency surgery patients to the intensive care unit result in worse outcomes and increased health care costs. We aimed to use interpretable artificial intelligence technology to create a preoperative predictor for postoperative intensive care unit need in emergency surgery patients.A novel, interpretable artificial intelligence technology called optimal classification trees was leveraged in an 80:20 train:test split of adult emergency surgery patients in the 2007-2017 American College of Surgeons National Surgical Quality Improvement Program database. Demographics, comorbidities, and laboratory values were used to develop, train, and then validate optimal classification tree algorithms to predict the need for postoperative intensive care unit admission. The latter was defined as postoperative death or the development of 1 or more postoperative complications warranting critical care (eg, unplanned intubation, ventilator requirement ≥48 hours, cardiac arrest requiring cardiopulmonary resuscitation, and septic shock). An interactive and user-friendly application was created. C statistics were used to measure performance.A total of 464,861 patients were included. The mean age was 55 years, 48% were male, and 11% developed severe postoperative complications warranting critical care. The Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application was created as the user-friendly interface of the complex optimal classification tree algorithms. The number of questions (ie, tree depths) needed to predict intensive care unit admission ranged from 2 to 11. The Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application had excellent discrimination for predicting the need for intensive care unit admission (C statistics: 0.89 train, 0.88 test).We recommend the Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application as an accurate, artificial intelligence-based tool for predicting severe complications warranting intensive care unit admission after emergency surgery. The Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application can prove useful to triage patients to the intensive care unit and to potentially decrease failure to rescue in emergency surgery patients.
Published: 2022

3. Validation of the artificial intelligence–based trauma outcomes predictor (TOP) in patients 65 years and older

Author: Majed El Hechi, Anthony Gebran, Hamza Tazi Bouardi, Lydia R. Maurer, Mohamad El Moheb, Daisy Zhuo, Jack Dunn, Dimitris Bertsimas, George C. Velmahos, and Haytham M.A. Kaafarani
Subjects: Male, Benchmarking, Injury Severity Score, Artificial Intelligence, Humans, Female, Wounds, Penetrating, Surgery, Hospital Mortality, Wounds, Nonpenetrating, Aged, Retrospective Studies
Abstract: The Trauma Outcomes Predictor tool was recently derived using a machine learning methodology called optimal classification trees and validated for prediction of outcomes in trauma patients. The Trauma Outcomes Predictor is available as an interactive smartphone application. In this study, we sought to assess the performance of the Trauma Outcomes Predictor in the elderly trauma patient.All patients aged 65 years and older in the American College of Surgeons-Trauma Quality Improvement Program 2017 database were included. The performance of the Trauma Outcomes Predictor in predicting in-hospital mortality and combined and specific morbidity based on incidence of 9 specific in-hospital complications was assessed using the c-statistic methodology, with planned subanalyses for patients 65 to 74, 75 to 84, and 85+ years.A total of 260,505 patients were included. Median age was 77 (71-84) years, 57% were women, and 98.8% had a blunt mechanism of injury. The Trauma Outcomes Predictor accurately predicted mortality in all patients, with excellent performance for penetrating trauma (c-statistic: 0.92) and good performance for blunt trauma (c-statistic: 0.83). Its best performance was in patients 65 to 74 years (c-statistic: blunt 0.86, penetrating 0.93). Among blunt trauma patients, the Trauma Outcomes Predictor had the best discrimination for predicting acute respiratory distress syndrome (c-statistic 0.75) and cardiac arrest requiring cardiopulmonary resuscitation (c-statistic 0.75). Among penetrating trauma patients, the Trauma Outcomes Predictor had the best discrimination for deep and organ space surgical site infections (c-statistics 0.95 and 0.84, respectively).The Trauma Outcomes Predictor is a novel, interpretable, and highly accurate predictor of in-hospital mortality in the elderly trauma patient up to age 85 years. The Trauma Outcomes Predictor could prove useful for bedside counseling of elderly patients and their families and for benchmarking the quality of geriatric trauma care.
Published: 2022

4. The Social Vulnerability Index and Long-term Outcomes After Traumatic Injury

Author: Juan P, Herrera-Escobar, Tarsicio, Uribe-Leitz, Joyce, Wang, Claudia P, Orlas, Mohamad El, Moheb, Taylor E, Lamarre, Niha, Ahmad, Ka Man, Hau, Molly, Jarman, Nomi C, Levy-Carrick, Sabrina E, Sanchez, Haytham M A, Kaafarani, Ali, Salim, and Deepika, Nehra
Subjects: Adult, Male, Stress Disorders, Post-Traumatic, Social Vulnerability, Trauma Centers, Humans, Female, Surgery, Middle Aged, Needs Assessment
Abstract: The aim of this study was to evaluate the Social Vulnerability Index (SVI) as a predictor of long-term outcomes after injury.The SVI is a measure used in emergency preparedness to identify need for resources in the event of a disaster or hazardous event, ranking each census tract on 15 demographic/social factors.Moderate-severely injured adult patients treated at 1 of 3 level-1 trauma centers were prospectively followed 6 to 14 months post-injury. These data were matched at the census tract level with overall SVI percentile rankings. Patients were stratified based on SVI quartiles, with the lowest quartile designated as low SVI, the middle 2 quartiles as average SVI, and the highest quartile as high SVI. Multivariable adjusted regression models were used to assess whether SVI was associated with long-term outcomes after injury.A total of 3153 patients were included [54% male, mean age 61.6 (SD = 21.6)]. The median overall SVI percentile rank was 35th (IQR: 16th-65th). compared to low SVI patients, high SVI patients were more likely to have new functional limitations [odds ratio (OR), 1.51; 95% confidence interval (CI), 1.19-1.92), to not have returned to work (OR, 2.01; 95% CI, 1.40-2.89), and to screen positive for post-traumatic stress disorder (OR, 1.56; 95% CI, 1.12-2.17). Similar results were obtained when comparing average with low SVI patients, with average SVI patients having significantly worse outcomes.The SVI has potential utility in predicting individuals at higher risk for adverse long-term outcomes after injury. This measure may be a useful needs assessment tool for clinicians and researchers in identifying communities that may benefit most from targeted prevention and intervention efforts.
Published: 2022

5. Incidence and Predictors of Surgical Site Infection Complications in Diabetic Patients Undergoing Lower Limb Amputation

Author: Dima Mahmoud, Patrick Cherfan, Hussein H. Khachfe, Ahmed El Rahyel, Joseph R. Habib, Mohamad El Moheb, Jamal J. Hoballah, and Mohamad A. Chahrour
Subjects: medicine.medical_specialty, Time Factors, Anemia, medicine.medical_treatment, Hematocrit, Logistic regression, Amputation, Surgical, Sepsis, Risk Factors, Lower limb amputation, Internal medicine, Diabetes Mellitus, Humans, Surgical Wound Infection, Medicine, Retrospective Studies, medicine.diagnostic_test, business.industry, Incidence, Incidence (epidemiology), General Medicine, medicine.disease, Obesity, Treatment Outcome, Lower Extremity, Amputation, Female, Surgery, Cardiology and Cardiovascular Medicine, business
Abstract: Surgical site infections (SSIs) following lower extremity amputations (LEAs) are a major cause of patient morbidity and mortality. The objectives of this study are to investigate the annual incidence of SSI and risk factors associated with SSI after LEA in diabetic patients.LEAs performed on diabetic patients between 2005 and 2017 were retrospectively analyzed from the American College of Surgeons National Surgical Quality Improvement Program database. Incidence rates were calculated and analyzed for temporal change. Multivariable logistic regression was conducted to identify the independent predictors of SSIs in LEA.In 21,449 diabetic patients, the incidence of SSIs was 6.8% after LEA, with an overall decreasing annual trend (P = 0.013). Amputation location (below-knee in reference to above-knee) [OR (95% CI): 1.35 (1.20 - 1.53), P0.001], smoking [OR (95% CI): 1.25 (1.11 - 1.41), P0.001)], female sex [OR (95% CI): 1.16 (1.03 - 1.30)], preoperative sepsis [OR (95% CI): 1.24 (1.10 - 1.40), P0.001], P = 0.013], emergency status [OR (95% CI): 1.38 (1.17 - 1.63), P0.001], and obesity [OR (95% CI): 1.59 (1.12 - 2.27), P = 0.009] emerged as independent predictors of SSIs, while moderate/severe anemia emerged as a risk-adjusted protective factor [OR (95% CI): 0.75 (0.62 - 0.91), P = 0.003]. Sensitivity analysis found that moderate/severe anemia, not body mass index (BMI) class, remained a significant risk factor in the development of SSIs in below-the-knee amputations; in contrast, higher BMI, not preoperative hematocrit, was significantly associated with an increased risk for SSI in above-the-knee amputations.The incidence of SSIs after LEA in diabetic patients is decreasing. Overall, below-knee amputation, smoking, emergency status, and preoperative sepsis appeared to be associated with SSIs. Obesity increased SSIs in above-the-knee amputations, while moderate/severe preoperative anemia appears to protect against below-the-knee SSIs. Surgeons should take predictors of SSI into consideration while optimizing care for their patients, and future studies should investigate the role of preoperative hematocrit correction and how it may influence outcomes positively or negatively.
Published: 2022

6. Esophagectomy for recurrent dysphagia in esophageal motility disorders

Author: Andrew M. Young, Mohamad El Moheb, Sindri A. Viktorsson, and Linda W. Martin
Published: 2023

7. Contributors

Author: Marco E. Allaix, Vera Lucia Angelo Andrade, Renata Azevedo, Lavinia Barbieri, Andrea Costantini, Mario Costantini, Nirmal Desai, Mohamad El Moheb, Fernando Augusto Mardiros Herbella, Lauren Hermann, Julie Huffman, Thomas Hunold, Christopher Kaperak, Linda W. Martin, Benjamin M. Mervak, Rafael Melillo Laurino Neto, Kristen Olinger, Marco G. Patti, Francesco Puccetti, Fabrizio Rebecchi, Kavitt Robert, Riccardo Rosati, Renato Salvador, Francisco Schlottmann, Elettra Ugliono, Júlio César de Soares Veloso, Sindri A. Viktorsson, Wenfei Wang, Thomas J. Watson, Andrew M. Young, and Chris Young
Published: 2023

8. Critically Appraising the Quality of Reporting of American College of Surgeons TQIP Studies in the Era of Large Data Research

Author: Anthony, Gebran, Antoine, Bejjani, Daniel, Badin, Hadi, Sabbagh, Tala, Mahmoud, Mohamad, El Moheb, Charlie J, Nederpelt, Bellal, Joseph, Avery, Nathens, and Haytham Ma, Kaafarani
Subjects: Surgeons, Research Design, Humans, Reproducibility of Results, Surgery, Quality Improvement, Checklist
Abstract: The American College of Surgeons-Trauma Quality Improvement Program (ACS-TQIP) database is one of the most widely used databases for trauma research. We aimed to critically appraise the quality of the methodological reporting of ACS-TQIP studies.The ACS-TQIP bibliography was queried for all studies published between January 2018 and January 2021. The quality of data reporting was assessed using the Strengthening the Reporting of Observational studies in Epidemiology-Reporting of Studies Conducted Using Observational Routinely Collected Health Data (STROBE-RECORD) statement and the JAMA Surgery checklist. Three items from each tool were not applicable and thus excluded. The quality of reporting was compared between high- and low-impact factor (IF) journals (cutoff for high IF is90th percentile of all surgical journals).A total of 118 eligible studies were included; 12 (10%) were published in high-IF journals. The median (interquartile range) number of criteria fulfilled was 5 (4-6) for the STROBE-RECORD statement (of 10 items) and 5 (5-6) for the JAMA Surgery checklist (of 7 items). Specifically, 73% of studies did not describe the patient population selection process, 61% did not address data cleaning or the implications of missing values, and 76% did not properly state inclusion/exclusion criteria and/or outcome variables. Studies published in high-IF journals had remarkably higher quality of reporting than those in low-IF journals.The methodological reporting quality of ACS-TQIP studies remains suboptimal. Future efforts should focus on improving adherence to standard reporting guidelines to mitigate potential bias and improve the reproducibility of published studies.
Published: 2022

9. Outcomes and Their State-level Variation in Patients Undergoing Surgery With Perioperative SARS-CoV-2 Infection in the USA

Author: Osaid, Alser, Ander Dorken Gallastegi, Anthony, Gebran, Kerry, Breen, Mohamad El Moheb, Apostolos, Gaitanidis, Leon, Naar, Brittany, Bankhead-Kendall, Hassan, Mashbari, Robert, D Sinyard, Lydia, R Maurer, Charu, Paranjape, George, C Velmahos, Dmitri, Nepogodiev, Aneel, Bhangu, Haytham M, A Kaafarani, Kwabena, Siaw-Acheampong, Leah, Argus, Daoud, Chaudhry, Brett, E Dawson, James, C Glasbey, Rohan, R Gujjuri, Conor, S Jones, Sivesh, K Kamarajah, Chetan, Khatri, James, M Keatley, Samuel, Lawday, Elizabeth, Li, Harvinder, Mann, Ella, J Marson, Kenneth, A Mclean, Maria, Picciochi, Elliott, H Taylor, Abhinav, Tiwari, Joana F, F Simoes, Isobel, M Trout, Mary, L Venn, Richard J, W Wilkin, Irida, Dajti, Arben, Gjata, Oussama, Kacimi, Luis, Boccalatte, Maria Marta Modolo, Daniel, Cox, Peter, Pockney, Philip, Townend, Felix, Aigner, Irmgard, Kronberger, Ahmed, Elgun, Amer, Alderazi, Kamral, Hossain, Greg, Padmore, Gabrielle, Vanramshorst, Ismail, Lawani, Duane, Wedderburn, Sonam, Dargay, Israël, Feraudy, Cerovac, Anis, Samir, Delibegovic, Alemayehu Ginbo Bedada, Gustavo, Ataide, Glauco, Baiocchi, Igor, Buarque, Muhammad, Gohar, Mihail, Slavchev, Jean Marie Vianney Butoyi, Chukwuemeka, Nwegbu, Arnav, Agarwal, Amanpreet, Brar, Janet, Martin, Maricarmen, Olivos, Dong-Lin, Ren, Wenhui, Lou, Jose, Calvache, Carlos Jose Perez Rivera, Ana Danic Hadzibegovic, Tomislav, Kopjar, Jakov, Mihanovic, Pablo, Avilés, Nikolaos, Gouvas, Jaroslav, Klat, René, Novysedlak, Nicolas, Amisi, Peter, Christensen, Alaa, El-Hussuna, Sylvia, Batista, Eddy, Lincango, Sameh, H Emile, Danilo Alfonso Arévalo Sandoval, Mengistu Gebreyohanes Mengesha, Samuel, Hailu, Hailu, Tamiru, Joonas, Kauppila, Johanna, Laukkarinen, Alexis, Arnaud, Roumanatou Bankole Sapin, Kebba, Marenah, Zaza, Demetrashvili, Andreas, A Schnitzbauer, Magdalena, Gruendl, Markus, Albertsmeiers, Hans, Lederhuber, Markus, Loffler, Bernard Ofori Appiah, Daniel, Acquah, Stephen, Tabiri, Symeon, Metallidis, Georgios, Tsoulfas, Maria Aguilera Lorena, Gustavo, Grecinos, Tamas, Mersich, Daniel, Wettstein, Atul, Suroy, Dhruv, Ghosh, Pranay, Pawar, Gabriele, Kembuan, Peiman, Brouk, Mohammad, Khosravi, Masoud, Mozafari, Ahmed, Adil, Helen, M Mohan, Oded, Zmora, Marco, Fiore, Gallo, G, Pata, Francesco, Gianluca, Pellino, Naoto, Kuroda, Sohei, Satoi, Yuki, Fujimoto, Faris, Ayasra, Mohammad, Chaar, Ildar, R Fakhradiyev, Intisar, Hisham, Jin-Young, Jang, Enver, Fekaj, Mohammad, Jamal, Anvar, Beisembaev, Muhammed, Elhadi, Aiste, Gulla, Luc, Samison, Jupsi, Neny, Palesa, Chisala, April, Roslani, Iran Irani Duran Sanchez, Laura Martinez Perez Maldonado, Antonio Ramos De La Medina, Jade, Nunez, Oumaima, Outani, Abd'Rashid, Nashidengo, Ashish Lal Shrestha, Rakesh, Shah, Pascal, Jonker, Schelto, Kruijff, Milou, Noltes, Pieter, Steinkamp, Willemijn van der Plas, Chris, Varghese, Deborah, Wright, Jorge, Neira, Adesoji, Ademuyiwa, Babatunde, Osinaike, Justina, Seyi-Olajide, Emmanuel, Williams, Sofija, Pejkova, Knut Magne Augestad, Kjetil, Soreide, Zainab Al Balushi, Ahmad, Qureshi, Raza, Sayyed, Mustafa Abu Mohsen Daraghmeh, Sadi, Abukhalaf, Moises, Cukier, Chris, Munguas, Hugo, Gomez, Sebastian, Shu, Ximena, Vasquez, Marie Dione Parreno-Sacdalan, Piotr, Major, José, Azevedo, Miguel, Cunha, Irene, Santos, Ahmad, Zarour, Eduard-Alexandru, Bonci, Ionut, Negoi, Sergey, Efetov, Andrey, Litvin, Faustin, Ntirenganya, Ehab, Alameer, Abdourahmane, Ndong, Dejan, Radenkovic, Ibrahim, Sesay, Frederick Koh Hong Xiang, Chew Min Hoe, James Ngu Chi Yong, Arpad, Panyko, Jurij, Kosir, Uros, Bele, Hassan, Ali, Rachel, Moore, Ncamsile, Nhlabathi, Ruth Blanco Colino, Ana Minaya Bravo, Umesh, Jayarajah, Dakshitha, Wickramasinghe, Mohammed, Elmujtaba, William, Jebril, Martin, Rutegård, Malin, Sund, Eleftherios, Gialamas, Karoline, Horisberger, Michel, Adamina, Muhammad, Alshaar, Abel, Huang, Ben, Mbwele, Varut, Lohsiriwat, Shane, Charles, Haithem, Jlassi, Arda, Isik, Sezai, Leventoğlu, Lekuya, Herve, Lekuya, Monka, Herman, Lule, Tom E, F Abbott, Ruth, Benson, Caruna, Ed, Sohini, Chakrabortee, Andreas, Demetriades, Anant, Desai, Thomas, D Drake, John, G Edwards, Jonathan, P Evans, Samuel, Ford, Christina, Fotopoulou, Ewen, Griffiths, Peter, Hutchinson, Michael, D Jenkinson, Tabassum, Khan, Stephen, Knight, Angelos, Kolias, Elaine, Leung, Siobhan, Mckay, Lisa, Norman, Riinu, Ots, Vidya, Raghavan, Keith, Roberts, Andrew, Schache, Richard, Shaw, Katie, Shaw, Neil, Smart, Grant, Stewart, Sudha, Sundar, Dale, Vimalchandran, Naomi, Wright, Slava, Kopetskiy, Sattar, Alshryda, Ian, Ganly, Haytham, Kaafarani, Brittany, Kendall, Fernando, Bonilla, Hamza Al Naggar, Mayaba, Maimbo, Dennis, Mazingi, J Wong, J, Napolitano, L, Hemmila, M, Amin, D, Abramowicz, S, M Roser, S, A Olson, K, Riley, C, Heron, C, Cardenas, T, Leede, E, Thornhill, M, B Haynes, A, Mcelhinney, K, Roward, S, D Trust, M, E Hill, C, G Teixeira, P, Etchill, E, Stevens, K, R Ladd, M, Long, C, Rose, J, Kent, A, Yesantharao, P, Vervoort, D, Jenny, H, Gabre-Kidan, A, Margalit, A, Tsai, L, Malapati, H, Yesantharao, L, Abdou, H, Diaz, J, Richmond, M, Clark, J, O'Meara, L, Hanna, N, Ying, Y, Fleming, J, Ovaitt, A, Gigliotti, J, Fuson, A, Cooper, Z, Salim, A, A Hirji, S, Brown, A, Chung, C, Hansen, L, U Okafor, B, Roxo, V, P Raut, C, S Jolissaint, J, A Mahvi, D, Kaafarani, H, Breen, K, Bankhead-Kendall, B, Alser, O, Mashbari, H, Velmahos, G, R Maurer, L, M El Moheb, Gaitanidis, A, Naar, L, A Christensen, M, Kapoen, C, Langeveld, K, M El Hechi, Mokhtari, A, H Haqqani, M, T Drake, F, Goldenberg-Sandau, A, Galbreath, B, Reinke, C, Ross, S, Thompson, K, Manning, D, Perkins, R, Eriksson, E, Evans, H, Masrur, M, Giulianotti, P, Benedetti, E, Chang, G, Ourieff, J, Dehart, D, Dorafshar, A, Price, T, R Bhama, A, Torquati, A, Cherullo, E, Kennedy, R, Myers, J, Rubin, K, S Ban, V, G Aoun, S, H Batjer, H, Caruso, J, Carmichael, H, G Velopulos, C, L Wright, F, Urban, S, C McIntyre Jr, R, J Schroeppel, T, A Hennessy, E, Dunn, J, Zier, L, Burlew, C, Coleman, J, P Colling, K, Hall, B, E Rice, H, S Hwang, E, A Olson, S, Moris, D, Verma, R, Hassan, R, Volpe, A, Merola, S, A O'Banion, L, Lilienstein, J, Dirks, R, Marwan, H, Almasri, M, Kulkarni, G, Mehdi, M, Abouassi, A, Abdallah, M, M San Andrés, Eid, J, Aigbivbalu, E, Sundaresan, J, George, B, Ssentongo, A, Ssentongo, P, S Oh, J, Hazelton, J, Maines, J, Gusani, N, Garner, M, Horvath, S, Zheng, F, Ujiki, M, Kinnaman, G, Meagher, A, Sharma, I, Holler, E, Mckenzie, K, Chan, J, Fretwell, K, W Nugent 3rd, Khalil, A, Chen, D, Post, N, Rostkowski, T, Brahmbhatt, D, Huynh, K, L Hibbard, M, Schellenberg, M, R C, G Martin, Bhutiani, N, Giorgakis, E, Laryea, J, Bhavaraju, A, Sexton, K, Roberts, M, Kost, M, Kimbrough, M, Burdine, L, Kalkwarf, K, Robertson, R, Gosain, A, Camp, L, Lewit, R, P Kronenfeld, J, Urrechaga, E, Goel, N, Rattan, R, Hart, V, Allen, M, Gilna, G, Cioci, A, Ruiz, G, Rakoczy, K, Pavlis, W, Saberi, R, Morris, R, S Karam, B, C E, M Brathwaite, Liu, H, Petrone, P, Hakmi, H, H Sohail, A, Baltazar, G, Heckburn, R, M Nygaard, R, T Colonna, E, W Endorf, F, J Hill, M, Maiga, A, Dennis, B, H Levin, J, Lallemand, M, Choron, R, Peck, G, Soliman, F, Rehman, S, Glass, N, Juthani, B, Deisher, D, M Ruzgar, N, J Ullrich, S, Sion, M, Paranjape, C, R Kar, A, Gillezeau, C, Rapp, J, Taioli, E, A Miles, B, Alpert, N, Podolsky, D, L Coleman, N, P Callahan, M, Ganly, I, Brown, L, J R, T Monson, Dehal, A, Abbas, A, Soliman, A, Kim, B, Jones, C, D Dauer, M, Renza-Stingone, E, Hernandez, E, Gokcen, E, Kropf, E, Sufrin, H, Hirsch, H, Ross, H, Engel, J, Sewards, J, Poggio, J, Sanserino, K, Rae, L, Philp, M, Metro, M, Mcnelis, P, Petrov, R, Pazionis, T, Till, B, Lamm, R, J Rios-Diaz, A, Palazzo, F, Rosengart, M, Nicholson, K, M Carrick, M, Rodkey, K, Suri, A, Callcut, R, Nicholson, S, Talathoti, N, Klaristenfeld, D, Biffl, W, Marsh, C, Schaffer, K, E Berndtson, A, Averbach, S, Curry, T, Kwan-Feinberg, R, Consorti, E, Gonzalez, R, Grolman, R, Liu, T, Merzlikin, O, K Abel, M, Ozgediz, D, Boeck, M, Z Kornblith, L, Nunez-Garcia, B, Robinson, B, Park, P, F Utria, A, E Rice-Townsend, S, Javid, P, Hauptman, J, Kieran, K, Nehra, D, Walters, A, Cuschieri, J, H Davidson, G, Nunez, J, Cosker, R, Eckhouse, S, Choudhry, A, Marx, W, Jamil, T, Seegert, S, Al-Embideen, S, Quintana, M, Jackson, H, D Wexner, S, Kent, I, N Martins, P, Xiao, Liu, and Alistair, Denniston
Subjects: Male, medicine.medical_specialty, Revised Cardiac Risk Index, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), pulmonary complications, Malignancy, Time-to-Treatment, Postoperative Complications, Sex Factors, Risk Factors, medicine, COVID-19, COVIDSurg, elective surgery, emergency surgery, mortality, pulmonary complications, Humans, In patient, Prospective Studies, emergency surgery, Elective surgery, Aged, Respiratory Distress Syndrome, SARS-CoV-2, business.industry, Pulmonary Complication, Age Factors, COVID-19, Pneumonia, Perioperative, Middle Aged, COVIDSurg, elective surgery, mortality, medicine.disease, United States, Surgery, Multicenter study, Elective Surgical Procedures, Female, business
Abstract: Objective To report the 30-day outcomes of patients with perioperative SARS-CoV-2 infection undergoing surgery in the USA. Summary background data Uncertainty regarding the postoperative risks of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exists. Methods As part of the COVIDSurg multicenter study, all patients aged ≥17 years undergoing surgery between January 1 and June 30, 2020 with perioperative SARS-CoV-2 infection in 70 hospitals across 27 states were included. The primary outcomes were 30-day mortality and pulmonary complications. Multivariable analyses (adjusting for demographics, comorbidities, and procedure characteristics) were performed to identify predictors of mortality. Results A total of 1,581 patients were included; more than half of them were males (n= 822, 52.0%) and older than 50 years (n=835, 52.8%). Most procedures (n=1,261, 79.8%) were emergent, and laparotomies (n= 538, 34.1%). The mortality and pulmonary complication rates were 11.0 and 39.5%, respectively. Independent predictors of mortality included age ≥70 years (OR 2.46, 95% CI [1.65-3.69]), male sex (2.26 [1.53-3.35]), ASA grades 3-5 (3.08 [1.60-5.95]), emergent surgery (2.44 [1.31-4.54]), malignancy (2.97 [1.58-5.57]), respiratory comorbidities (2.08 [1.30-3.32]), and higher Revised Cardiac Risk Index (1.20 [1.02-1.41]). While statewide elective cancelation orders were not associated with a lower mortality, a sub-analysis showed it to be associated with lower mortality in those who underwent elective surgery (0.14 [0.03-0.61]). Conclusions Patients with perioperative SARS-CoV-2 infection have a significantly high risk for postoperative complications, especially elderly males. Postponing elective surgery and adopting non-operative management, when reasonable, should be considered in the USA during the pandemic peaks.
Published: 2021

10. The Emergency Surgery Score is a powerful predictor of outcomes across multiple surgical specialties: Results of a retrospective nationwide analysis

Author: George C. Velmahos, April E. Mendoza, Haytham M.A. Kaafarani, Noelle Saillant, Jonathan Parks, Leon Naar, Jason Fawley, Reem AlSowaiegh, and Mohamad El Moheb
Subjects: Male, Emergency Medical Services, medicine.medical_specialty, Specialty, MEDLINE, 030230 surgery, Risk Assessment, 03 medical and health sciences, 0302 clinical medicine, medicine, Health Status Indicators, Humans, Retrospective Studies, business.industry, General surgery, Retrospective cohort study, Perioperative, Middle Aged, Vascular surgery, medicine.disease, Comorbidity, United States, Cardiac surgery, General Surgery, Surgical Procedures, Operative, 030220 oncology & carcinogenesis, Orthopedic surgery, Female, Surgery, business
Abstract: Background The Emergency Surgery Score was recently validated in a prospective multicenter study as an accurate predictor of mortality in emergency general surgery patients. The Emergency Surgery Score is easily calculated using multiple demographic, comorbidity, laboratory, and acuity of disease variables. We aimed to investigate whether the Emergency Surgery Score can predict 30-day postoperative mortality across patients undergoing emergency surgery in multiple surgical specialties. Methods Our study is a retrospective cohort study using data from the national American College of Surgeons National Surgical Quality Improvement Program database (2007-2017). We included patients that underwent emergency gynecologic, urologic, thoracic, neurosurgical, orthopedic, vascular, cardiac, and general surgical procedures. The Emergency Surgery Score was calculated for each patient, and the correlation between the Emergency Surgery Score and 30-day mortality was assessed for each specialty using the c-statistics methodology. Results Of 6,485,915 patients, 173,890 patients were included. The mean age was 60 years, 50.6% were female patients, and the overall mortality was 9.7%. The Emergency Surgery Score predicted mortality best in emergency gynecologic, general, and urologic surgery (c-statistics: 0.97, 0.87, 0.81, respectively). The Emergency Surgery Score predicted mortality moderately well in emergency thoracic, neurosurgical, orthopedic, and vascular surgery (c-statistics 0.73–0.79). For example, the mortality of gynecology patients with an Emergency Surgery Score of 5, 9, and 13 was 2%, 27%, and 50%, respectively. The Emergency Surgery Score performed poorly in cardiac surgery. Conclusion The Emergency Surgery Score accurately predicts mortality across patients undergoing emergency surgery in multiple surgical specialties, especially general, gynecologic, and urologic surgery. The Emergency Surgery Score can prove useful for perioperative patient counseling and for benchmarking the quality of surgical care.
Published: 2021

11. Mesenteric Ischemia in Patients with Coronavirus 2019: A Scoping Review

Author: Anthony Gebran, Mohamad El Moheb, Dias Argandykov, Hassan Mashbari, Rajshri M. Gartland, John O. Hwabejire, George C. Velmahos, and Haytham M.A. Kaafarani
Subjects: Microbiology (medical), Adult, Male, Laparotomy, COVID-19, Middle Aged, Infectious Diseases, Ischemia, Mesenteric Ischemia, Acute Disease, Humans, Surgery, Female, Digestive System Surgical Procedures
Published: 2022

12. Invited Commentary

Author: Mohamad El Moheb and Haytham Kaafarani
Subjects: Surgery
Published: 2023

13. Artificial Intelligence, Machine Learning, and Surgical Science: Reality Versus Hype

Author: Majed El Hechi, Gary An, Georgios Tsoulfas, Lydia R. Maurer, Haytham M.A. Kaafarani, Thomas M. Ward, and Mohamad El Moheb
Subjects: business.industry, Clinical Decision-Making, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Machine learning, computer.software_genre, Risk Assessment, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Emergency surgery, General Surgery, 030220 oncology & carcinogenesis, Decision aids, Humans, 030211 gastroenterology & hepatology, Surgery, Artificial intelligence, business, computer
Abstract: Artificial intelligence (AI) has made increasing inroads in clinical medicine. In surgery, machine learning-based algorithms are being studied for use as decision aids in risk prediction and even for intraoperative applications, including image recognition and video analysis. While AI has great promise in surgery, these algorithms come with a series of potential pitfalls that cannot be ignored as hospital systems and surgeons consider implementing these technologies. The aim of this review is to discuss the progress, promise, and pitfalls of AI in surgery.
Published: 2021

14. Impact of the COVID-19 Pandemic on Long-term Recovery From Traumatic Injury

Author: George C. Velmahos, Joyce Wang, Claudia P. Orlas, Ali Salim, Juan P. Herrera-Escobar, Haytham M.A. Kaafarani, Nikita Patel, Nomi C Levy-Carrick, Deepika Nehra, Sabrina E. Sanchez, Taylor Lamarre, and Mohamad El Moheb
Subjects: Social stress, education.field_of_study, medicine.medical_specialty, business.industry, Population, Mental health, Traumatic injury, Health care, Pandemic, Cohort, Emergency medicine, Medicine, Surgery, business, education, Depression (differential diagnoses)
Abstract: Objective Determine the proportion and characteristics of traumatic injury survivors who perceive a negative impact of the COVID-19 pandemic on their recovery and to define post-injury outcomes for this cohort. Background The COVID-19 pandemic has precipitated physical, psychological, and social stressors that may create a uniquely difficult recovery and reintegration environment for injured patients. Methods Adult (≥18 years) survivors of moderate-to-severe injury completed a survey 6-14 months post-injury during the COVID-19 pandemic. This survey queried individuals about the perceived impact of the COVID-19 pandemic on injury recovery and assessed post-injury functional and mental health outcomes. Regression models were built to identify factors associated with a perceived negative impact of the pandemic on injury recovery, and to define the relationship between these perceptions and long-term outcomes. Results Of 597 eligible trauma survivors who were contacted, 403 (67.5%) completed the survey. Twenty-nine percent reported that the COVID-19 pandemic negatively impacted their recovery and 24% reported difficulty accessing needed healthcare. Younger age, lower perceived-socioeconomic status (SES), extremity injury, and prior psychiatric illness were independently associated with negative perceived impact of the COVID-19 pandemic on injury recovery. In adjusted analyses, patients who reported a negative impact of the pandemic on their recovery were more likely to have new functional limitations, daily pain, lower physical and mental component scores of the SF-12 and to screen positive for PTSD and depression. Conclusions The COVID-19 pandemic is negatively impacting the recovery of trauma survivors. It is essential that we recognize the impact of the pandemic on injured patients while focusing on directed efforts to improve the long-term outcomes of this already at-risk population.
Published: 2021

15. The Burden of Surgical Disease and Access to Care in a Vulnerable Syrian Refugee Population in Lebanon

Author: Samar Al-Hajj, Moustafa Moustafa, Majed El-Hechi, Mohamad El Moheb, Zahraa Chamseddine, and Haytham M.A. Kaafarani
Subjects: Adult, Male, medicine.medical_specialty, Refugee, Population, Disease, Disease cluster, Vulnerable Populations, Health Services Accessibility, Head of Household, Surgery in Low and Middle Income Countries, medicine, Per capita, Humans, Vulnerable population, Lebanon, education, health care economics and organizations, Refugees, education.field_of_study, Syria, business.industry, Middle Aged, Vascular surgery, Cross-Sectional Studies, Family medicine, Female, Surgery, business
Abstract: Background The Syrian conflict has produced one of the largest refugee crises in modern times. Lebanon has taken in more Syrian refugees per capita than any other nation. We aimed to study the burden of surgical disease and access to surgical care among Syrian refugees in Lebanon. Methods This study was designed as a convenient cross-sectional cluster-based population survey of all refugee camps throughout the Bekaa region of Lebanon. We used a modified version of the Surgeons OverSeas Assessment of Surgical Need to identify surgical conditions and barriers to care access. The head of household of each informal tented settlement provided demographic information after which two household members were randomly chosen and administered the survey. Results A total of 1,500 individuals from 750 households representing 21 camps were surveyed. Respondents had a mean age of 36.6 (15.0) years, 54.6% were female, and 59% were illiterate. Nearly 25% of respondents reported at least one surgical condition within the past year, most commonly involving the face, head, and neck region (32%) and extremities (22%). Less than 20% of patients with a surgical condition reported seeing any healthcare provider, > 75% due to financial hardship. Conclusions The prevalence of surgical disease among Syrian refugees is very high with a fourth of refugees suffering from one or more surgical conditions over the past year. The surgical needs of this vulnerable population are largely unmet as financial reasons prevent patients from seeking care. Local and humanitarian efforts need to include increased access to surgical care.
Published: 2021

16. Long-Term Functional Outcomes of Trauma Patients With Facial Injuries

Author: Juan P. Herrera-Escobar, Haytham M.A. Kaafarani, Mohamad El Moheb, Ali Salim, Shekhar K. Gadkaree, Deepika Nehra, George C. Velmahos, Edward J Caterson, and Justin C. McCarty
Subjects: Facial trauma, medicine.medical_specialty, business.industry, Head injury, MEDLINE, General Medicine, After discharge, medicine.disease, Polytrauma, Otorhinolaryngology, Quality of life, Healthcare utilization, Emergency medicine, Medicine, Surgery, business, Cohort study
Abstract: Background Facial trauma can have long-lasting consequences on an individual's physical, mental, and social well-being. The authors sought to assess the long-term outcomes of patients with facial injuries. Methods This is a prospective multicenter cohort study of patients with face abbreviated injury scores ≥1 within the Functional Outcomes and Recovery after Trauma Emergencies registry. The Functional Outcomes and Recovery after Trauma Emergencies registry collects patient-reported outcomes data for patients with moderate-severe trauma 6 to 12 months after injury. Outcomes variables included general and trauma-specific quality of life, functional limitations, screening for post-traumatic stress disorder, and postdischarge healthcare utilization. Results A total of 188 patients with facial trauma were included: 69.1% had an isolated face and/or head injury and 30.9% had a face and/or head injuries as a part of polytrauma injury. After discharge, 11.7% of patients visited the emergency room, and 13.3% were re-admitted to the hospital. Additionally, 36% of patients suffered from functional limitations and 17% of patients developed post-traumatic stress disorder. A total of 34.3% patients reported that their injury scars bothered them, and 49.4% reported that their injuries were hard to deal with emotionally. Conclusions Patients who sustain facial trauma suffer significant long-term health-related quality of life consequences stemming from their injuries.
Published: 2021

17. Performance of the Emergency Surgery Score (ESS) Across Different Emergency General Surgery Procedures

Author: Mohamad El Moheb, Haytham M.A. Kaafarani, Napaporn Kongkaewpaisan, Kerry Breen, Majed El Hechi, Apostolos Gaitanidis, Leon Naar, and Sarah Mikdad
Subjects: Adult, Male, medicine.medical_specialty, medicine.medical_treatment, Risk Assessment, 03 medical and health sciences, 0302 clinical medicine, Emergency surgery, Humans, Medicine, Emergency Treatment, Aged, Retrospective Studies, Colectomy, Receiver operating characteristic, business.industry, General surgery, Area under the curve, Patient counseling, Middle Aged, medicine.disease, Bowel obstruction, Inguinal hernia, General Surgery, Surgical Procedures, Operative, 030220 oncology & carcinogenesis, Incarcerated hernia, Female, 030211 gastroenterology & hepatology, Surgery, business
Abstract: Background The Emergency Surgery Score (ESS) has been previously validated as a reliable tool to predict postoperative outcomes in emergency general surgery (EGS). The purpose of this study is to assess the differential performance of the ESS in specific EGS procedures. Methods The American College of Surgeons’ National Surgical Quality Improvement Program database was retrospectively analyzed for patients undergoing EGS between 2007 and 2017. Patients who underwent the following EGS procedures were identified: laparoscopic appendectomy, laparoscopic cholecystectomy, surgery for small bowel obstruction (SBO), colectomy, and incarcerated ventral or inguinal hernia repair. The performance of the ESS in predicting mortality in each procedure was assessed using receiver operating characteristic analyses. Results A total of 467,803 patients underwent EGS (mean age 50 ± 19.9 y, females 241,330 [51.6%]), of which 191,930 (41%) underwent laparoscopic appendectomy, 40,353 (8.6%) underwent laparoscopic cholecystectomy, and 35,152 (7.5%) patients underwent surgery for SBO. The ESS correlated extremely well with mortality for patients who underwent laparoscopic appendectomy (area under the curve (AUC) 0.91), laparoscopic cholecystectomy (AUC 0.91), lysis of adhesions for SBO (AUC 0.83), colectomy (AUC 0.83), and incarcerated hernia repair (AUC 0.85). Conclusions ESS performance accurately predicts mortality across a wide range of EGS procedures, and its use should be encouraged for preoperative patient counseling and for nationally benchmarking the quality of care of EGS.
Published: 2021

18. Appraising the Quality of Reporting of American College of Surgeons NSQIP Emergency General Surgery Studies

Author: Basil S. Karam, Hadi Sabbagh, Tala Mahmoud, Majed El Hechi, Haytham M.A. Kaafarani, Daniel Badin, and Mohamad El Moheb
Subjects: medicine.medical_specialty, Quality management, Databases, Factual, Population, MEDLINE, Strengthening the reporting of observational studies in epidemiology, law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, law, Credibility, Humans, Medicine, education, Emergency Treatment, education.field_of_study, Impact factor, business.industry, General surgery, Quality Improvement, United States, Checklist, Treatment Outcome, Research Design, General Surgery, 030220 oncology & carcinogenesis, 030211 gastroenterology & hepatology, Surgery, Bibliographies as Topic, business
Abstract: Background The quality of emergency general surgery (EGS) studies that use the American College of Surgeons-National Quality Improvement Program (ACS-NSQIP) database is variable. We aimed to critically appraise the methodologic reporting of EGS ACS-NSQIP studies. Study design We searched the PubMed ACS-NSQIP bibliography for EGS studies published from 2004 to 2019. The quality of reporting of each study was assessed according to the number of criteria fulfilled with respect to the 13-item RECORD statement and the 10-item JAMA Surgery checklist. Three criteria in each checklist were not applicable and were therefore excluded. An analysis was conducted comparing studies published in high and low impact factor (IF) journals. Results We identified a total of 99 eligible studies. Twenty-six percent of studies were published in high IF journals, and 73% of the journals had a policy requiring adherence to reporting statements. The median number of criteria fulfilled for the RECORD statement (out of 10 items) and the JAMA Surgery checklist (out of 7 items) were both equal to 4 (interquartile range [IQR] 3, 5). Sixty-three percent of studies did not explain the methodology for data cleaning, 81% of studies did not describe the population selection process, and 55% did not discuss the implications of missing variables. There were no differences in overall scores between studies published in high and low IF journals. Conclusions The methodologic reporting of EGS studies using ACS-NSQIP remains suboptimal. Future efforts should focus on improving adherence to the policies to mitigate potential sources of bias and improve the credibility of large database studies.
Published: 2021

19. Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients

Author: George C. Velmahos, Majed El Hechi, Dimitris Bertsimas, Haytham M.A. Kaafarani, Hamza Tazi Bouardi, Katerina Giannoutsou, Mohamad El Moheb, Jack Dunn, Lydia R. Maurer, and Daisy Zhuo
Subjects: Adult, Male, Databases, Factual, Vital signs, Wounds, Penetrating, Risk management tools, Wounds, Nonpenetrating, Critical Care and Intensive Care Medicine, Risk Assessment, Decision Support Techniques, 03 medical and health sciences, Injury Severity Score, 0302 clinical medicine, Blunt, Artificial Intelligence, Predictive Value of Tests, Risk Factors, Humans, Medicine, Hospital Mortality, Aged, business.industry, 030208 emergency & critical care medicine, Emergency department, Middle Aged, medicine.disease, United States, Blunt trauma, Predictive value of tests, Female, Surgery, Smartphone, Artificial intelligence, Emergencies, business, Penetrating trauma
Abstract: Background Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linear. We aimed to use artificial intelligence (AI) technology to design and validate a nonlinear risk calculator for trauma patients. Methods A novel, interpretable AI technology called Optimal Classification Trees (OCTs) was used in an 80:20 derivation/validation split of the 2010 to 2016 American College of Surgeons Trauma Quality Improvement Program database. Demographics, emergency department vital signs, comorbidities, and injury characteristics (e.g., severity, mechanism) of all blunt and penetrating trauma patients 18 years or older were used to develop, train then validate OCT algorithms to predict in-hospital mortality and complications (e.g., acute kidney injury, acute respiratory distress syndrome, deep vein thrombosis, pulmonary embolism, sepsis). A smartphone application was created as the algorithm's interactive and user-friendly interface. Performance was measured using the c-statistic methodology. Results A total of 934,053 patients were included (747,249 derivation; 186,804 validation). The median age was 51 years, 37% were women, 90.5% had blunt trauma, and the median Injury Severity Score was 11. Comprehensive OCT algorithms were developed for blunt and penetrating trauma, and the interactive smartphone application, Trauma Outcome Predictor (TOP) was created, where the answer to one question unfolds the subsequent one. Trauma Outcome Predictor accurately predicted mortality in penetrating injury (c-statistics: 0.95 derivation, 0.94 validation) and blunt injury (c-statistics: 0.89 derivation, 0.88 validation). The validation c-statistics for predicting complications ranged between 0.69 and 0.84. Conclusion We suggest TOP as an AI-based, interpretable, accurate, and nonlinear risk calculator for predicting outcome in trauma patients. Trauma Outcome Predictor can prove useful for bedside counseling of critically injured trauma patients and their families, and for benchmarking the quality of trauma care.
Published: 2021

20. General Versus Neuraxial Anesthesia for Appendectomy: A Multicenter International Study

Author: Stephanie Santin, Kerry Breen, Renyuan Gao, Ramzi S. Alami, Zhenyi Jia, Haytham M.A. Kaafarani, Gabriel Rodríguez, Bellal Joseph, Napaporn Kongkaewpaisan, Marcelo Afonso Ribeiro, Supparerk Prichayudh, Jun Yang, Ava Mokhtari, Gwendolyn M. van der Wilden, Napakadol Noppakunsomboom, Zhiguang Gao, Majed El Hechi, Mohamad El Moheb, Zhiguo Wang, Manasnun Kongwibulwut, Camilo Ortega, Joseph V. Sakran, Huanlong Qin, and Kelsey Han
Subjects: medicine.medical_specialty, Univariate analysis, business.industry, Vascular surgery, Logistic regression, Cardiac surgery, 03 medical and health sciences, 0302 clinical medicine, Cardiothoracic surgery, 030220 oncology & carcinogenesis, Anesthesia, Post-hoc analysis, medicine, 030211 gastroenterology & hepatology, Surgery, business, Body mass index, Abdominal surgery
Abstract: In resource-limited countries, open appendectomy is still performed under general anesthesia (GA) or neuraxial anesthesia (NA). We sought to compare the postoperative outcomes of appendectomy under NA versus GA. We conducted a post hoc analysis of the International Patterns of Opioid Prescribing (iPOP) multicenter study. All patients ≥ 16 years-old who underwent an open appendectomy between October 2016 and March 2017 in one of the 14 participating hospitals were included. Patients were stratified into two groups: NA—defined as spinal or epidural—and GA. All-cause morbidity, hospital length of stay (LOS), and pain severity were assessed using univariate analysis followed by multivariable logistic regression adjusting for the following preoperative characteristics: age, gender, body mass index (BMI), smoking, history of opioid use, emergency status, and country. A total of 655 patients were included, 353 of which were in the NA group and 302 in the GA group. The countries operating under NA were Colombia (39%), Thailand (31%), China (23%), and Brazil (7%). Overall, NA patients were younger (mean age (SD): 34.5 (14.4) vs. 40.7 (17.9), p-value 3 days, OR, 95% CI: 0.47 [0.32–0.68]) compared to GA. There was no difference in postoperative pain severity between the two techniques. Open appendectomy performed under NA is associated with improved outcomes compared to that performed under GA. Further randomized controlled studies should examine the safety and value of NA in lower abdominal surgery.
Published: 2021

21. The worst-case scenario: Bridging repair with a biologic mesh in high-risk patients with very large abdominal wall hernias–a prospective multicenter study

Author: Eric J. Mahoney, Moustafa Hassan, Karim Fikry, Demetrios Demetriades, Kimberly A. Davis, Roxie M. Albrecht, Mohamad El Moheb, Peter A. Burke, George C. Velmahos, Stephen J. Kovach, Andrew Dennis, Martin A. Schreiber, and Andreas Larentzakis
Subjects: Adult, Male, medicine.medical_specialty, Abdominal Hernia, Biocompatible Materials, Independent predictor, Abdominal wall, Recurrence, Risk Factors, Animals, Humans, Surgical Wound Infection, Medicine, Hernia, Prospective Studies, Prospective cohort study, Herniorrhaphy, Aged, High risk patients, business.industry, Abdominal Wall, Middle Aged, Surgical Mesh, medicine.disease, Hernia, Ventral, Surgery, Treatment Outcome, medicine.anatomical_structure, Multicenter study, Cattle, Female, Tomography, X-Ray Computed, business, Body mass index, Follow-Up Studies
Abstract: Background While modern techniques allow midline fascial closure for most abdominal hernias, a bridge repair with mesh may be the only alternative in very large defects. When the risk of infection is high, the use of prosthetic mesh is controversial. We aim to examine outcomes after bridge repair of very large abdominal hernias at high risk for postoperative infection with a second-generation biologic mesh. Methods Prospective, multicenter, single-arm study of patients with very large abdominal hernias who received bridge repair with a neonatal bovine dermis mesh. Primary outcome was hernia recurrence, as identified on computed tomography 1 year after the operation. Secondary outcomes included mesh laxity, surgical site occurrences, and any other mesh-related complications. Independent risk factors of the outcomes were determined by univariate and multivariable analyses. Results A total of 117 bridge repair patients were enrolled with a mean defect size of 442.5 ± 254.2 cm2. The patients were predominantly obese (mean body mass index 36.5 ± 10.5) and with multiple comorbidities (Charlson comorbidity index 3 ± 2.5). Hernia recurrence was identified in 24 (20.5%) patients. An infected mesh at the index operation was an independent predictor of hernia recurrence, whereas obesity was an independent predictor of the pooled endpoint of recurrence and mesh laxity. Surgical site occurrences were recorded in 36.8% of the patients, and no independent risk factors were identified. Conclusion In patients with very large abdominal hernias and at high risk for postoperative infection, who cannot undergo midline fascial closure, a bridge repair with neonatal bovine dermis mesh offers an acceptable profile in terms of hernia recurrence and wound occurrences.
Published: 2021

22. Multisystem outcomes and predictors of mortality in critically ill patients with COVID-19: Demographics and disease acuity matter more than comorbidities or treatment modalities

Author: Apostolos Gaitanidis, Kimberly Langeveld, Leon Naar, Peter J. Fagenholz, Brittany Bankhead-Kendall, Jason Fawley, Kerry Breen, David R. King, Haytham M.A. Kaafarani, George C. Velmahos, Lydia R. Maurer, Charudutt N Paranjape, Maha R. Farhat, Hassan Mashbari, Mohamad El Moheb, Osaid Alser, Jonathan Parks, Jarone Lee, Mathias A. Christensen, Ava Mokhtari, Noelle Saillant, April E. Mendoza, and Carolijn Kapoen
Subjects: Male, ARDS, Gastrointestinal Diseases, Organ Dysfunction Scores, medicine.medical_treatment, Comorbidity, Critical Care and Intensive Care Medicine, law.invention, Risk Factors, Interquartile range, law, Hospital Mortality, Prospective Studies, Prospective cohort study, Creatine Kinase, Aged, 80 and over, Pressure Ulcer, Respiratory Distress Syndrome, Age Factors, Shock, Acute Kidney Injury, Middle Aged, Intensive care unit, Survival Rate, Treatment Outcome, Neuromuscular Blockade, Female, Steroids, Hydroxychloroquine, Adult, medicine.medical_specialty, Critical Care, Critical Illness, Antimalarials, Extracorporeal Membrane Oxygenation, Thromboembolism, Internal medicine, Pneumonia, Bacterial, Prone Position, medicine, Extracorporeal membrane oxygenation, Humans, Survival rate, Aged, SARS-CoV-2, business.industry, Patient Acuity, COVID-19, Odds ratio, Length of Stay, medicine.disease, Surgery, business, Boston
Abstract: BACKGROUND: We sought to describe characteristics, multisystem outcomes, and predictors of mortality of the critically ill COVID-19 patients in the largest hospital in Massachusetts. METHODS: This is a prospective cohort study. All patients admitted to the intensive care unit (ICU) with reverse-transcriptase-polymerase chain reaction-confirmed severe acute respiratory syndrome coronavirus 2 infection between March 14, 2020, and April 28, 2020, were included; hospital and multisystem outcomes were evaluated. Data were collected from electronic records. Acute respiratory distress syndrome (ARDS) was defined as PaO2/FiO2 ratio of ≤300 during admission and bilateral radiographic pulmonary opacities. Multivariable logistic regression analyses adjusting for available confounders were performed to identify predictors of mortality. RESULTS: A total of 235 patients were included. The median (interquartile range [IQR]) Sequential Organ Failure Assessment score was 5 (3-8), and the median (IQR) PaO2/FiO2 was 208 (146-300) with 86.4% of patients meeting criteria for ARDS. The median (IQR) follow-up was 92 (86-99) days, and the median ICU length of stay was 16 (8-25) days; 62.1% of patients were proned, 49.8% required neuromuscular blockade, and 3.4% required extracorporeal membrane oxygenation. The most common complications were shock (88.9%), acute kidney injury (AKI) (69.8%), secondary bacterial pneumonia (70.6%), and pressure ulcers (51.1%). As of July 8, 2020, 175 patients (74.5%) were discharged alive (61.7% to skilled nursing or rehabilitation facility), 58 (24.7%) died in the hospital, and only 2 patients were still hospitalized, but out of the ICU. Age (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.04-1.12), higher median Sequential Organ Failure Assessment score at ICU admission (OR, 1.24; 95% CI, 1.06-1.43), elevated creatine kinase of ≥1,000 U/L at hospital admission (OR, 6.64; 95% CI, 1.51-29.17), and severe ARDS (OR, 5.24; 95% CI, 1.18-23.29) independently predicted hospital mortality.Comorbidities, steroids, and hydroxychloroquine treatment did not predict mortality. CONCLUSION: We present here the outcomes of critically ill patients with COVID-19. Age, acuity of disease, and severe ARDS predicted mortality rather than comorbidities. LEVEL OF EVIDENCE: Prognostic, level III.
Published: 2021

23. Survival outcomes in adult recipients using pediatric deceased donor liver grafts. A PSM analysis from the OPTN/UNOS liver transplant registry

Author: Paola A. Vargas, Mohamad El Moheb, Zachary Henry, Nicolas Intagliata, Feng Su, Matthew Sttots, Curtis Argo, Shawn Pelletier, Jose Oberholzer, and Nicolas Goldaracena
Published: 2023

24. Pain or No Pain, We Will Give You Opioids: Relationship Between Number of Opioid Pills Prescribed and Severity of Pain after Operation in US vs Non-US Patients

Author: Sonia Lopez Flores, Jun Yang, Huanlong Qin, Haytham M.A. Kaafarani, Napaporn Kongkaewpaisan, Kelsey Han, Napakadol Noppakunsomboom, Gwendolyn M. van der Wilden, Gabriel Rodríguez, Manasnun Kongwibulwut, Bellal Joseph, Supparerk Prichayudh, Bernardo J. Gutierrez-Sougarret, Camilo Ortega, Joseph V. Sakran, Mohamad El Moheb, Zhiguo Wang, Inge A van Erp, Renyuan Gao, Zhiguang Gao, Ramzi S. Alami, Zhenyi Jia, and Ava Mokhtari
Subjects: Adult, Male, medicine.medical_specialty, Visual analogue scale, medicine.medical_treatment, 030230 surgery, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Hospital discharge, Appendectomy, Humans, Severe pain, Cholecystectomy, Medical prescription, Herniorrhaphy, Pain Measurement, Pain, Postoperative, business.industry, Middle Aged, United States, Analgesics, Opioid, Opioid, 030220 oncology & carcinogenesis, Pill, Inguinal herniorrhaphy, Female, Surgery, business, medicine.drug
Abstract: Patients in the US receive disproportionally higher amounts of opioids after operations compared with their non-US counterparts. We aimed to assess the relationship between perceived pain severity after operation and the amount of opioid medications prescribed at discharge in US vs non-US patients.We conducted a post-hoc analysis of the International Patterns of Opioid Prescribing multicenter study. Patients 16 years and older who underwent appendectomy, cholecystectomy, or inguinal herniorrhaphy in 1 of 14 participating hospitals across 8 countries between October 2016 and March 2017 were included. In hospitals where pain severity was assessed using a 0 to 10 visual analog scale before hospital discharge, patients were stratified into the following groups, depending on the pain severity: none, mild (1 to 3), moderate (4 to 6), and severe (7 to 10). The number of opioid prescriptions, total number of pills, and oral morphine equivalents prescribed were calculated for each group and US and non-US patients were compared.A total of 2,024 patients were included. Eighty-three percent of US patients without pain were prescribed opioids compared with 8.7% of non-US patients without pain (p0.001). The number of opioid prescriptions, number of pills, and oral morphine equivalents prescribed were similar across the 4 pain severity groups in US patients (p0.05). In contrast, the number of opioid prescriptions, number of opioid pills, and oral morphine equivalents prescribed among non-US patients were incrementally higher as the pain severity progressed from no pain to severe pain (all, p0.05).US patients are prescribed opioids at high rates and doses regardless of pain severity. Additional efforts should be directed toward tailoring opioid prescriptions to patients' needs.
Published: 2020

25. No place like home: A national study on firearm-related injuries in the American household

Author: Majed El Hechi, Mohamad El Moheb, April E. Mendoza, Noelle Saillant, Claudia P. Orlas, Gezzer Ortega, Haytham M.A. Kaafarani, Napaporn Kongkaewpaisan, Melissa A. Mendoza, and Jonathan Parks
Subjects: Adult, Male, Alcohol use disorder, White race, Unintentional injury, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Firearm injury, Environmental health, Prevalence, Humans, Medicine, 030212 general & internal medicine, Retrospective Studies, Family Characteristics, 030505 public health, business.industry, General Medicine, Middle Aged, medicine.disease, United States, National study, Female, Wounds, Gunshot, Surgery, 0305 other medical science, business
Abstract: We aimed to examine the prevalence of, and describe factors associated with, firearm-related injuries in American households.Using the 2010-2016 ACS-TQIP database, all ICD-9/10 external causes of injury for firearm-related injuries were queried with the place of occurrence designated as "home". Causes of injury were identified as assault, intentional self-injury, and unintentional injury. Univariate then multivariable regression analyses were performed to identify factors associated with each injury type.12,657 firearm-related injuries in households were identified. Of those, 49.9% were victims of assault, 35.7% were intentional self-injury, and 14.4% were unintentional. Mortality was highest among self-inflicted injuries (52.4%), followed by assault (12.9%), and unintentional injuries (5.9%). On multivariable analysis, age45 years, African-American race, and drug use were independently associated with an injury secondary to assault. Age65 years, White race, psychiatric illness, and alcohol use disorder were independently associated with intentional self-injury. White and American-Indian race were independently associated with unintentional injuries.Assault is the most common cause of home-related firearm injury requiring hospitalization, while intentional self-injury is the most lethal.
Published: 2020

26. The Impact of Caffeine and Taurine on Ventricular Arrhythmias

Author: Mohamad El Moheb and Marwan Refaat
Published: 2022

27. The Policies for the Disclosure of Funding and Conflict of Interest in Surgery Journals: A Cross-Sectional Survey

Author: Elie A. Akl, Maria Armache, Lama Assi, Basil S. Karam, Assem M. Khamis, and Mohamad El Moheb
Subjects: medicine.medical_specialty, business.industry, Cross-sectional study, Conflict of interest, 030230 surgery, Surgery, 03 medical and health sciences, 0302 clinical medicine, Financial interest, 030220 oncology & carcinogenesis, medicine, Citation, business
Abstract: Industry through its funding of research and through its relationships with study authors can influence the results of research. Most journals have policies for reporting funding and disclosing conflict of interest (COI) to mitigate the influence of industry on research. The objective of this study is to assess the policies of surgery journals for the reporting of funding and the disclosure of COI. We described the prevalence and characteristics of funding and COI policies of journals indexed under "Surgery" in the Journal Citation Reports. We extracted data from publicly available information and through simulation of manuscript submission. Of the 186 eligible journals, 171 (92%) had policies for reporting of funding. None of the policies described procedures to deal with non-reporting or underreporting of funding. Of the 186 journals, 183 (99%) had a policy for disclosure of COI. All journals with a COI policy required disclosure of financial interest, while 96 (52%) required the disclosure of non-financial interests. Only 24 (13%) policies described how non-disclosure of COI affects the editorial process, and none described procedures to verify COI disclosure. Of the policies that required disclosing COI, 94 (51%) also required reporting the source of financial COI. Most journals have policies for reporting of funding and disclosure of financial COI. However, many do not have clear policies for disclosing non-financial COI. Major limitations in the policies include the lack of processes for the verification of disclosed interests and for dealing with underreporting of funding and of COI.
Published: 2020

28. Opioids After Surgery in the United States Versus the Rest of the World

Author: Renyuan Gao, Jun Yang, Ask T. Nordestgaard, George C. Velmahos, Camilo Ortega, Sonia Lopez Flores, Zhiguang Gao, Mohammad Hamidi, Keith D. Lillemoe, Joseph V. Sakran, Said Durmaz, Majed El Hechi, Kerry Breen, Suzanne van Wijck, Lara El-Jamal, Gwendolyn M. van der Wilden, Hiba Ezzeddine, Haytham M.A. Kaafarani, Napaporn Kongkaewpaisan, Stephanie Santin, Ramzi S. Alami, Zhenyi Jia, Bernardo J. Gutierrez-Sougarret, Supparerk Prichayudh, Bellal Joseph, Ahmed I Eid, Dana Naamani, Zhiguo Wang, Napakadol Noppakunsomboom, Manasnun Kongwibulwut, Huanlong Qin, Marcelo Ribeiro, Kelsey Han, Gabriel Rodríguez, and Mohamad El Moheb
Subjects: Opioid epidemic, medicine.medical_specialty, business.industry, Background data, MEDLINE, Opioid prescribing, 03 medical and health sciences, 0302 clinical medicine, Multicenter study, 030220 oncology & carcinogenesis, Emergency medicine, medicine, 030211 gastroenterology & hepatology, Surgery, business, Rest (music)
Abstract: Objective:The International Patterns of Opioid Prescribing study compares postoperative opioid prescribing patterns in the United States (US) versus the rest of the world.Summary of Background Data:The US is in the middle of an unprecedented opioid epidemic. Diversion of unused opioids contributes t
Published: 2020

29. Provocative Angiography, Followed by Therapeutic Interventions, in the Management of Hard-To-Diagnose Gastrointestinal Bleeding

Author: Thomas Peponis, Leon Naar, George C. Velmahos, Eva Fuentes, Majed El Hechi, Myriam Martinez, Mohamad El Moheb, Osaid Alser, and Nikolaos Kokoroskos
Subjects: Male, medicine.medical_specialty, Gastrointestinal bleeding, 03 medical and health sciences, 0302 clinical medicine, Mesenteric Artery, Superior, Anesthesiology, medicine, Humans, Aged, Retrospective Studies, Aged, 80 and over, medicine.diagnostic_test, business.industry, Angiography, Mesenteric Artery, Inferior, Interventional radiology, Middle Aged, Vascular surgery, medicine.disease, Hematochezia, Surgery, Cardiothoracic surgery, 030220 oncology & carcinogenesis, Female, 030211 gastroenterology & hepatology, medicine.symptom, Gastrointestinal Hemorrhage, business, Algorithms, Abdominal surgery
Abstract: Despite significant advances in imaging and endoscopic diagnostic techniques, adequate localization of gastrointestinal bleeding (GIB) can be challenging. Provocative angiography (PROVANGIO) has not been part of the standard diagnostic algorithms yet. We sought to examine the ability of PROVANGIO to identify the bleeding source when conventional radiography fails. Patients undergoing PROVANGIO for GIB during 2008–2014 were retrospectively included. Demographics and periprocedural patient characteristics were recorded. PROVANGIO was performed in a multidisciplinary setting, involving interventional radiology, surgery and anesthesiology teams, ready to intervene in case of uncontrolled bleeding. The procedure included conventional angiography of the celiac, superior and inferior mesenteric arteries (SMA, IMA) followed by a stepwise bleeding provocation with anticoagulating, vasodilating and/or thrombolytic agent administration, combined with angiography. Twenty-three PROVANGIO were performed. Patients were predominantly male (15, 65.2%), and hematochezia was the most common presenting symptom (12, 52.2%). Patients with a positive PROVANGIO had lower Charlson comorbidity index (1 vs. 7, p = 0.009) and were less likely to have a prior history of GIB (14.3% vs. 87.5%, p = 0.001). PROVANGIO localized bleeding in 7 (30%) patients. In 6 out of 7 patients, the bleeding source was identified in the SMA and, in one case, in the IMA distribution. The bleeding was controlled angiographically in four cases, endoscopically in one case and surgically in the remaining two. No complications related to PROVANGIO were detected. In our series, PROVANGIO safely identified the bleeding source, and provided that necessary safeguards are put into place, we recommend incorporating it in the diagnostic algorithms for GIB management.
Published: 2020

30. The Beirut Port Explosion Injuries and Lessons Learned: Results of the Beirut Blast Assessment for Surgical Services (BASS) Multicenter Study

Author: Elie P. Ramly, Mohamad El Moheb, Mohamad El Warea, George Dabar, Obey Albaini, Jana Zeineddine, Haytham M.A. Kaafarani, Bassem Y. Safadi, Majed El Hechi, George Saad, Rand Ibrahim, Mohamad Othman El Helou, Anthony Gebran, Assem Al Hajj, Elissa Abou Khalil, Karin Karam, Ayah Matar, and Jamal J. Hoballah
Subjects: Adult, Male, Adolescent, Explosions, Young Adult, Blast Injuries, medicine, Humans, Lebanon, Child, Emergency Treatment, Aged, Aged, 80 and over, business.industry, Civil Defense, Infant, Middle Aged, medicine.disease, Port (computer networking), Hospitals, Hospitalization, Bass (sound), Multicenter study, Child, Preschool, Surgery, Female, Medical emergency, business
Abstract: This multicenter study aims to describe the injury patterns, emergency management and outcomes of the blast victims, recognize the gaps in hospital disaster preparedness, and identify lessons to be learned.On August 4th, 2020, the city of Beirut, Lebanon suffered the largest urban explosion since Hiroshima and Nagasaki, resulting in hundreds of deaths and thousands of injuries.All injured patients admitted to four of the largest Beirut hospitals within 72 hours of the blast, including those who died on arrival or in the emergency department (ED), were included. Medical records were systematically reviewed for: patient demographics and comorbidities; injury severity and characteristics; prehospital, ED, operative, and inpatient interventions; and outcomes at hospital discharge. Lessons learned are also shared.An estimated total of 1818 patients were included, of which 30 died on arrival or in the ED and 315 were admitted to the hospital. Among admitted patients, the mean age was 44.7 years (range: 1 week-93 years), 44.4% were female, and the median injury severity score (ISS) was 10 (5, 17). ISS was inversely related to the distance from the blast epicenter (r = --0.18, P = 0.035). Most injuries involved the upper extremities (53.7%), face (42.2%), and head (40.3%). Mildly injured (ISS9) patients overwhelmed the ED in the first 2 hours; from hour 2 to hour 8 post-injury, the number of moderately, severely, and profoundly injured patients increased by 127%, 25% and 17%, respectively. A total of 475 operative procedures were performed in 239 patients, most commonly soft tissue debridement or repair (119 patients, 49.8%), limb fracture fixation (107, 44.8%), and tendon repair (56, 23.4%). A total of 11 patients (3.5%) died during the hospitalization, 56 (17.8%) developed at least 1 complication, and 51 (16.2%) were discharged with documented long-term disability. Main lessons learned included: the importance of having key hospital functions (eg, laboratory, operating room) underground; the nonadaptability of electronic medical records to disasters; the ED overwhelming with mild injuries, delay in arrival of the severely injured; and the need for realistic disaster drills.We, therefore, describe the injury patterns, emergency flow and trauma outcome of patients injured in the Beirut port explosion. The clinical and system-level lessons learned can help prepare for the next disaster.
Published: 2021

31. Patient-reported outcomes 6 to 12 months after isolated rib fractures: A nontrivial injury pattern

Author: Haytham M.A. Kaafarani, Jessica Serventi-Gleeson, Mohamad El Moheb, Annie Heyman, Patrick Heindel, Deepika Nehra, Alexander Ordoobadi, Shannon Garvey, Juan Herrera Escobar, Ali Salim, Nikita Patel, and Sabrina E. Sanchez
Subjects: Male, medicine.medical_specialty, Activities of daily living, Rib Fractures, Critical Care and Intensive Care Medicine, Logistic regression, Blunt, Quality of life, Internal medicine, medicine, Humans, Patient Reported Outcome Measures, Prospective Studies, Registries, Aged, Pain Measurement, Retrospective Studies, Pain disorder, Exercise Tolerance, business.industry, Chronic pain, Evidence-based medicine, Recovery of Function, Middle Aged, medicine.disease, Cohort, Abbreviated Injury Scale, Quality of Life, Surgery, Female, Chronic Pain, business
Abstract: Despite the ubiquity of rib fractures in patients with blunt chest trauma, long-term outcomes for patients with this injury pattern are not well described.The Functional Outcomes and Recovery after Trauma Emergencies (FORTE) project has established a multicenter prospective registry with 6- to 12-month follow-up for trauma patients treated at participating centers. We combined the FORTE registry with a detailed retrospective chart review investigating admission variables and injury characteristics. All trauma survivors with complete FORTE data and isolated chest trauma (Abbreviated Injury Scale score of ≤1 in all other regions) with rib fractures were included. Outcomes included chronic pain, limitation in activities of daily living, physical limitations, exercise limitations, return to work, and both inpatient and discharge pain control modalities. Multivariable logistic regression models were built for each outcome using clinically relevant demographic and injury characteristic univariate predictors.We identified 279 patients with isolated rib fractures. The median age of the cohort was 68 years (interquartile range, 56-78 years), 59% were male, and 84% were White. Functional and quality of life limitations were common among survivors of isolated rib fractures even 6 to 12 months after injury. Forty-three percent of patients without a preexisting pain disorder reported new daily pain, and new chronic pain was associated with low resilience. Limitations in physical functioning and exercise capacity were reported in 56% and 51% of patients, respectively. Of those working preinjury, 28% had not returned to work. New limitations in activities of daily living were reported in 29% of patients older than 65 years. Older age, higher number of rib fractures, and intensive care unit admission were independently associated with higher odds of receiving regional anesthesia. Receiving a regional nerve block did not have a statistically significant association with any patient-reported outcome measures.Isolated rib fractures are a nontrivial trauma burden associated with functional impairment and chronic pain even 6 to 12 months after injury.Prognostic/epidemiologic, level III.
Published: 2021

32. The surgical technique of the convergent procedure

Author: Omar Lattouf, John D. Puskas, Maroun Yammine, and Mohamad El Moheb
Subjects: medicine.medical_specialty, business.industry, medicine.medical_treatment, Epicardial ablation, Atrial fibrillation, medicine.disease, Ablation, Pulmonary vein, Left atrial wall, Treatment Outcome, Pulmonary Veins, Physiology (medical), Internal medicine, Atrial Fibrillation, Cardiology, Catheter Ablation, Medicine, Humans, Cardiology and Cardiovascular Medicine, business, Endocardium
Abstract: The convergent procedure is a newly developed hybrid ablation procedure that involves extensive epicardial ablation of the posterior left atrial wall followed by endocardial mapping and addition of pulmonary vein isolation. It is a team-based approach that provides a promising option for patients with persistent and permanent atrial fibrillation. In this manuscript, we present a detailed description of the surgical component of this procedure and include potential pitfalls based on our experience in performing it. This article is protected by copyright. All rights reserved.
Published: 2021

33. Impact of the COVID-19 Pandemic on Long-term Recovery From Traumatic Injury

Author: Juan P, Herrera-Escobar, Joyce, Wang, Taylor, Lamarre, Nikita, Patel, Claudia P, Orlas, Mohamad, El Moheb, Nomi C, Levy-Carrick, Sabrina E, Sanchez, George, Velmahos, Haytham Ma, Kaafarani, Ali, Salim, and Deepika, Nehra
Subjects: Male, Time Factors, SARS-CoV-2, COVID-19, Comorbidity, Recovery of Function, Middle Aged, Stress Disorders, Post-Traumatic, Surveys and Questionnaires, Quality of Life, Humans, Female, Prospective Studies, Survivors, Pandemics, Follow-Up Studies
Abstract: Determine the proportion and characteristics of traumatic injury survivors who perceive a negative impact of the COVID-19 pandemic on their recovery and to define post-injury outcomes for this cohort.The COVID-19 pandemic has precipitated physical, psychological, and social stressors that may create a uniquely difficult recovery and reintegration environment for injured patients.Adult (≥18 years) survivors of moderate-to-severe injury completed a survey 6 to 14 months post-injury during the COVID-19 pandemic. This survey queried individuals about the perceived impact of the COVID-19 pandemic on injury recovery and assessed post-injury functional and mental health outcomes. Regression models were built to identify factors associated with a perceived negative impact of the pandemic on injury recovery, and to define the relationship between these perceptions and long-term outcomes.Of 597 eligible trauma survivors who were contacted, 403 (67.5%) completed the survey. Twenty-nine percent reported that the COVID-19 pandemic negatively impacted their recovery and 24% reported difficulty accessing needed healthcare. Younger age, lower perceived-socioeconomic status, extremity injury, and prior psychiatric illness were independently associated with negative perceived impact of the COVID-19 pandemic on injury recovery. In adjusted analyses, patients who reported a negative impact of the pandemic on their recovery were more likely to have new functional limitations, daily pain, lower physical and mental component scores of the Short-Form-12 and to screen positive for PTSD and depression.The COVID-19 pandemic is negatively impacting the recovery of trauma survivors. It is essential that we recognize the impact of the pandemic on injured patients while focusing on directed efforts to improve the long-term outcomes of this already at-risk population.
Published: 2021

34. Long-Term Functional Outcomes of Trauma Patients With Facial Injuries

Author: Justin C, McCarty, Juan P, Herrera-Escobar, Shekhar K, Gadkaree, Mohamad, El Moheb, Haytham M A, Kaafarani, George, Velmahos, Ali, Salim, Deepika, Nehra, and Edward J, Caterson
Subjects: Cohort Studies, Quality of Life, Aftercare, Humans, Wounds and Injuries, Prospective Studies, Facial Injuries, Patient Discharge
Abstract: Facial trauma can have long-lasting consequences on an individual's physical, mental, and social well-being. The authors sought to assess the long-term outcomes of patients with facial injuries.This is a prospective multicenter cohort study of patients with face abbreviated injury scores ≥1 within the Functional Outcomes and Recovery after Trauma Emergencies registry. The Functional Outcomes and Recovery after Trauma Emergencies registry collects patient-reported outcomes data for patients with moderate-severe trauma 6 to 12 months after injury. Outcomes variables included general and trauma-specific quality of life, functional limitations, screening for post-traumatic stress disorder, and postdischarge healthcare utilization.A total of 188 patients with facial trauma were included: 69.1% had an isolated face and/or head injury and 30.9% had a face and/or head injuries as a part of polytrauma injury. After discharge, 11.7% of patients visited the emergency room, and 13.3% were re-admitted to the hospital. Additionally, 36% of patients suffered from functional limitations and 17% of patients developed post-traumatic stress disorder. A total of 34.3% patients reported that their injury scars bothered them, and 49.4% reported that their injuries were hard to deal with emotionally.Patients who sustain facial trauma suffer significant long-term health-related quality of life consequences stemming from their injuries.
Published: 2021

35. Comment on 'Gastrointestinal Complications in Critically Ill Patients With COVID-19'

Author: George C. Velmahos, John O. Hwabejire, Haytham M.A. Kaafarani, Osaid Alser, Mohamad El Moheb, Kerry Breen, Apostolos Gaitanidis, Mathias A. Christensen, Leon Naar, Rajshri M. Gartland, and Lydia R. Maurer
Subjects: Male, medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Gastrointestinal Diseases, Critically ill, business.industry, Critical Illness, Incidence, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), MEDLINE, COVID-19, Comorbidity, Middle Aged, United States, Gastrointestinal complications, medicine, Humans, Female, Surgery, Intensive care medicine, business, Pandemics, Aged
Published: 2020

36. Perceived Socioeconomic Status: A Strong Predictor of Long-Term Outcomes After Injury

Author: Mohamad El Moheb, Kaye Lu, Juan Herrera-Escobar, Claudia P. Orlas, Kerry Breen, Sabrina E. Sanchez, George Velmahos, Haytham M.A. Kaafarani, Ali Salim, and Deepika Nehra
Subjects: Social Class, Socioeconomic Factors, Trauma Centers, Income, Educational Status, Humans, Surgery, Chronic Pain
Abstract: Socioeconomic status (SES) is defined as a total measure of an individual's economic or social position in relation to others. Income and educational level are often used as quantifiable objective measures of SES but are inherently limited. Perceived SES (p-SES), refers to an individual's perception of their own SES. Herein, we assess the correlation between objective SES (o-SES) as defined by income and educational level and p-SES after injury and compare their associations with long-term outcomes after injury.Moderate-to-severely injured patients admitted to a Level 1 trauma center were asked to complete a phone-based survey assessing functional and mental health outcomes, social dysfunction, chronic pain, and return to work/school 6-12 mo postinjury. o-SES was determined by income and educational level (low educational level: high school or lower; low income: live in zip code with median income/household lower than the national median). p-SES was determined by asking patients to categorize their SES. The correlation coefficient between o-SES and p-SES was calculated. Multivariate logistic regression models were built to determine the associations between o-SES and p-SES and long-term outcomes.A total of 729 patients were included in this study. Patients who reported a low p-SES were younger, more likely to suffer penetrating injuries, and to have a weak social support network. Twenty-one percent of patients with high income and high educational level classified their p-SES as low or mid-low, and conversely, 46% of patients with low education and low income classified their p-SES as high or mid-high. The correlation coefficient between p-SES and o-SES was 0.2513. After adjusting for confounders, p-SES was a stronger predictor of long-term outcomes, including functional limitations, social dysfunction, mental health outcomes, return to work/school, and chronic pain than was o-SES.Patient-reported p-SES correlates poorly with o-SES indicating that the commonly used calculation of income and education may not accurately capture an individuals' SES. Furthermore, we found p-SES to be more strongly correlated with long-term outcome measures than o-SES. As we strive to improve long-term outcomes after injury, p-SES may be an important variable in the early identification of individuals who are likely to suffer from worse long-term outcomes after injury.
Published: 2021

37. Low-molecular-weight heparin versus unfractionated heparin in pediatric traumatic brain injury

Author: Haytham M.A. Kaafarani, Ann-Christine Duhaime, Noelle Saillant, Mohamad El Moheb, April E. Mendoza, Inge A van Erp, and Apostolos Gaitanidis
Subjects: Male, medicine.medical_specialty, Adolescent, pediatrics, medicine.drug_class, venous thromboembolism, Low molecular weight heparin, Cohort Studies, 03 medical and health sciences, VTE prophylaxis, 0302 clinical medicine, Internal medicine, Brain Injuries, Traumatic, medicine, Humans, Prospective cohort study, Child, low-molecular-weight heparin, Retrospective Studies, Univariate analysis, business.industry, Heparin, traumatic brain injury, Glasgow Coma Scale, General Medicine, Emergency department, Heparin, Low-Molecular-Weight, medicine.disease, unfractionated heparin, Treatment Outcome, trauma, 030220 oncology & carcinogenesis, Propensity score matching, Injury Severity Score, Female, business, 030217 neurology & neurosurgery, Penetrating trauma
Abstract: OBJECTIVE The incidence of venous thromboembolism (VTE) in patients with traumatic brain injury (TBI) has increased significantly. The Eastern Association for the Surgery of Trauma recommends using low-molecular-weight heparin (LMWH) over unfractionated heparin (UH) in pediatric patients requiring VTE prophylaxis, although this strategy is unsupported by the literature. In this study, the authors compare the outcomes of pediatric TBI patients receiving LMWH versus UH. METHODS The authors performed a 4-year (2014–2017) analysis of the pediatric American College of Surgeons Trauma Quality Improvement Program. All trauma patients (age ≤ 18 years) with TBI requiring thromboprophylaxis with UH or LMWH were potentially eligible for inclusion. Patients who had been transferred, had died in the emergency department, or had penetrating trauma were excluded. Patients were stratified into either the LMWH or the UH group on the basis of the prophylaxis they had received. Patients were matched on the basis of demographics, injury characteristics, vital signs, and transfusion requirements using propensity score matching (PSM). The study endpoints were VTE, death, and craniotomy after initiation of prophylaxis. Univariate analysis was performed after PSM to compare outcomes. RESULTS A total of 2479 patients met the inclusion criteria (mean age 15.5 ± 3.7 years and 32.0% female), of which 1570 (63.3%) had received LMWH and 909 (36.7%) had received UH. Before PSM, patients receiving UH were younger, had a lower Glasgow Coma Scale score, and had a higher Injury Severity Score. Patients treated in pediatric hospitals were more likely to receive UH (12.9% vs 9.0%, p < 0.001) than patients treated in adult hospitals. Matched patients receiving UH had a higher incidence of VTE (5.1% vs 2.9%, p = 0.03). CONCLUSIONS LMWH prophylaxis in pediatric TBI appears to be more effective than UH in preventing VTE. Large, multicenter prospective studies are warranted to confirm the superiority of LMWH over UH in pediatric patients with TBI. Moreover, outcomes of VTE prophylaxis in the very young remain understudied; therefore, dedicated studies to evaluate this population are needed.
Published: 2021

38. Cochrane corner: implantable cardiac defibrillators for patients with non-ischaemic cardiomyopathy

Author: Assem M. Khamis, Marwan M. Refaat, Elie A. Akl, Johny Nicolas, and Mohamad El Moheb
Subjects: medicine.medical_specialty, Defibrillation, medicine.medical_treatment, Cardiomyopathy, 030204 cardiovascular system & hematology, Implantable defibrillator, law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, law, medicine, Humans, 030212 general & internal medicine, Adverse effect, Ejection fraction, business.industry, medicine.disease, Defibrillators, Implantable, Death, Sudden, Cardiac, Systematic review, Heart failure, Emergency medicine, Cardiomyopathies, Cardiology and Cardiovascular Medicine, business
Abstract: The addition of implantable cardioverter defibrillators (ICDs) to standard medical therapy has been shown to decrease mortality in patients with ischaemic cardiomyopathy with a low ejection fraction (LVEF).1 In contrast, studies investigating the use of ICDs in dilated non-ischaemic cardiomyopathy showed conflicting results. The Comparison of Medical Therapy, Pacing, and Defibrillation in Heart Failure (COMPANION) study showed a decrease in mortality rate, while the Cardiomyopathy Trial (CAT) and Amiodarone Versus Implantable Defibrillator (AMIOVIRT) trial did not find any difference between the intervention and control groups.2–4 The results of a 2016 large randomised controlled trial (RCT) (the Danish Study to Assess the Efficacy of ICDs in Patients with Non-ischemic Systolic Heart Failure on Mortality (DANISH)) showed that the use of ICDs in dilated non-ischaemic cardiomyopathy does not decrease all-cause mortality, challenging the recommendations of the American College of Cardiology and the European Society of Cardiology guidelines.3 Several systematic reviews have addressed this topic since the publication of the DANISH trial; however, none of them used the Cochrane methodology nor studied the cost-effectiveness of ICD therapy and its impact on adverse events and quality of life. We therefore conducted a Cochrane systematic review to assess the benefits and harms of using versus not using ICD in addition to medical therapy in patients with dilated non-ischaemic cardiomyopathy.4 A Permission toco-publish an abridged version of a Cochrane Review in Heart was obtained (online supplementary appendix 1). We also studied the effect of ICDs on adverse events and quality of life, and the cost-effectiveness of this intervention. We reported and analysed …
Published: 2019

39. Several reasons explained the variation in the results of 22 meta-analyses addressing the same question

Author: Elie A. Akl, Johny Nicolas, Assem M. Khamis, Mohamad El Moheb, Marwan M. Refaat, and Ghida Iskandarani
Subjects: Adult, Male, Heart Diseases, Epidemiology, Absolute difference, 03 medical and health sciences, 0302 clinical medicine, Meta-Analysis as Topic, Odds Ratio, Humans, Medicine, In patient, 030212 general & internal medicine, Aged, Aged, 80 and over, business.industry, Hazard ratio, Odds ratio, Middle Aged, Data Accuracy, Defibrillators, Implantable, Systematic review, Variation (linguistics), Meta-analysis, Relative risk, Female, business, 030217 neurology & neurosurgery, Systematic Reviews as Topic, Demography
Abstract: Objective The objective of this study was to assess and to investigate the reasons for the variations between the results of meta-analyses addressing the same question. Study Design and Setting We included systematic reviews, and the trials that they included, on the use of implantable cardiac defibrillator (ICD) in patients with nonischemic cardiomyopathy. We assessed the variation between meta-analyses pooled effect estimates by calculating the percentage of absolute difference. We developed a list of 10 reasons for variations between the results of the meta-analyses clustered in four overarching categories. Results We identified 21 systematic reviews including six trials and reporting on 22 eligible meta-analyses. The percentage of absolute difference between each of the 22 pooled effect estimates (included odds ratio, risk ratio, hazard ratio) and their median value had an average of 3.2%. The number of trials for which the following categories of reasons for variations applied were as follows: (1) different decision to include or exclude trials ( n = 3); (2) differences in analytical approaches ( n = 6); (3) errors in conducting meta-analyses ( n = 5); and (4) unclear reason ( n = 1). Conclusion Few of the observed variations between the results of the 22 meta-analyses could lead clinicians or guideline development organizations to adopt different courses of actions. Variations were most frequently related to both errors and variations in trial eligibility and analytical approaches.
Published: 2019

40. The Social Vulnerability Index: A Useful Needs Assessment Tool to Guide Intervention and Prevention Efforts after Injury?

Author: Ali Salim, Molly P. Jarman, Deepika Nehra, Juan P. Herrera-Escobar, Haytham M.A. Kaafarani, Ka Man Hau, Sabrina E. Sanchez, Claudia P. Orlas, Tarsicio Uribe-Leitz, and Mohamad El Moheb
Subjects: Gerontology, Index (economics), business.industry, Intervention (counseling), Needs assessment, Medicine, Surgery, business, Social vulnerability
Published: 2021

41. Enhanced Recovery after Surgery Patients Are Prescribed Fewer Opioids at Discharge: a Propensity-Score Matched Analysis

Author: Donna Antonelli, Haytham M.A. Kaafarani, Motaz Qadan, Marcela G. del Carmen, Rachel C. Sisodia, Mohamad El Moheb, Cristina R. Ferrone, Lydia R. Maurer, Elena Cavallo, and Dan B. Ellis
Subjects: business.industry, Anesthesia, Propensity score matching, Medicine, Surgery, business, Enhanced recovery after surgery
Published: 2021

42. General Versus Neuraxial Anesthesia for Appendectomy: A Multicenter International Study

Author: Mohamad, El Moheb, Kelsey, Han, Kerry, Breen, Majed, El Hechi, Zhenyi, Jia, Ava, Mokhtari, Napaporn, Kongkaewpaisan, Manasnun, Kongwibulwut, Gabriel, Rodriguez, Camilo, Ortega, Huanlong, Qin, Jun, Yang, Renyuan, Gao, Zhiguo, Wang, Zhiguang, Gao, Supparerk, Prichayudh, Gwendolyn M, van der Wilden, Stephanie, Santin, Marcelo A F, Ribeiro, Napakadol, Noppakunsomboom, Joseph V, Sakran, Bellal, Joseph, Ramzi, Alami, and Haytham M A, Kaafarani
Subjects: Analgesics, Opioid, Postoperative Complications, Adolescent, Appendectomy, Humans, Anesthesia, General, Length of Stay, Practice Patterns, Physicians', Retrospective Studies
Abstract: In resource-limited countries, open appendectomy is still performed under general anesthesia (GA) or neuraxial anesthesia (NA). We sought to compare the postoperative outcomes of appendectomy under NA versus GA.We conducted a post hoc analysis of the International Patterns of Opioid Prescribing (iPOP) multicenter study. All patients ≥ 16 years-old who underwent an open appendectomy between October 2016 and March 2017 in one of the 14 participating hospitals were included. Patients were stratified into two groups: NA-defined as spinal or epidural-and GA. All-cause morbidity, hospital length of stay (LOS), and pain severity were assessed using univariate analysis followed by multivariable logistic regression adjusting for the following preoperative characteristics: age, gender, body mass index (BMI), smoking, history of opioid use, emergency status, and country.A total of 655 patients were included, 353 of which were in the NA group and 302 in the GA group. The countries operating under NA were Colombia (39%), Thailand (31%), China (23%), and Brazil (7%). Overall, NA patients were younger (mean age (SD): 34.5 (14.4) vs. 40.7 (17.9), p-value 0.001) and had a lower BMI (mean (SD): 23.5 (3.8) vs. 24.3 (5.2), p-value = 0.040) than GA patients. On multivariable analysis, NA was independently associated with less postoperative complications (OR, 95% CI: 0.30 [0.10-0.94]) and shorter hospital LOS (LOS 3 days, OR, 95% CI: 0.47 [0.32-0.68]) compared to GA. There was no difference in postoperative pain severity between the two techniques.Open appendectomy performed under NA is associated with improved outcomes compared to that performed under GA. Further randomized controlled studies should examine the safety and value of NA in lower abdominal surgery.
Published: 2021

43. Outcomes of Combined Opioids and Benzodiazepines Consumption in Elderly Trauma: A Retrospective Cohort Study

Author: Osaid Alser, Ander Dorken Gallastegi, Leon Naar, Mohamad El Moheb, Toby Raybould, Christopher DePesa, Alice Gervasini, Michael Flaherty, Peter T. Masiakos, George C. Velmahos, Haytham Kaafarani, and Jonathan Parks
Published: 2021

44. Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study

Author: Dmitri, Nepogodiev, Joana Ff Simoes, Elizabeth, Li, Maria, Picciochi, James, C Glasbey, Glauco, Baiocchi, Ruth, Blanco-Colino, Daoud, Chaudhry, Ehab, Alameer, Kariem, El-Boghdadly, Funmilola, Wuraola, Dhruva, Ghosh, Rohan, R Gujjuri, Ewen, M Harrison, Herman, Lule, Haytham, Kaafarani, Mohammad, Khosravi, Irmgard, Kronberger, Sezai, Leventoğlu, Harvinder, Mann, Kenneth, A Mclean, Mengistu Gebreyohanes Mengesha, Maria Marta Modolo, Faustin, Ntirenganya, Lisa, Norman, Oumaima, Outani, Riinu, Pius, Peter, Pockney, Ahmad Uzair Qureshi, April Camilla Roslani, Sohei, Satoi, Catherine, Shaw, Aneel, Bhangu, Omar, M Omar, Waheed-Ul-Rahman, Ahmed, Leah, Argus, Alasdair, Ball, Edward, P Bywater, Amanpreet, Brar, Brett, E Dawson, Irani, Duran, Muhammed, Elhadi, Conor, S Jones, Sivesh, K Kamarajah, James, M Keatley, Samuel, Lawday, Ella, J Marson, Riinu, Ots, Irène, Santos, Elliott, H Taylor, Isobel, M Trout, Chris, Varghese, Mary, L Venn, William, Xu, Irida, Dajti, Arben, Gjata, Salah Eddine Oussama Kacimi, Luis, Boccalatte, Daniel, Cox, Philip, Townend, Felix, Aigner, Irmgard Elisabeth Kronberger, Elgun, Samadov, Amer, Alderazi, Kamral, Hossain, Greg, Padmore, Gabrielle van Ramshorst, Ismaïl, Lawani, Anis, Cerovac, Samir, Delibegovic, Gustavo Mendonça Ataíde Gomes, Igor Lima Buarque, Muhammad, Gohar, Mihail, Slavchev, Chukwuemeka, Nwegbu, Arnav, Agarwal, Janet, Martin, Joshua, Ng-Kamstra, Maricarmen, Olivos, Wenhui, Lou, Dong-Lin, Ren, Jose Andres Calvache, Carlos, J Perez Rivera, Ana Danic Hadzibegovic, Tomislav, Kopjar, Jakov, Mihanovic, Pablo Mijahil Avilés Jiménez, Nikolaos, Gouvas, Jaroslav, Klat, René, Novysedlák, Nicolas, Amisi, Peter, Christensen, Alaa, El-Hussuna, Sylvia, Batista, Eddy, Lincango-Naranjo, Sameh, Emile, Danilo Alfonso Arévalo Sandoval, Hailu, Dhufera, Samuel, Hailu, Mengistu, G Mengesha, Joonas, H Kauppila, Alexis, P Arnaud, Zaza, Demetrashvili, Markus, Albertsmeier, Hans, Lederhuber, Markus, W Löffler, Daniel Kwesi Acquah, Bernard, Ofori, Stephen, Tabiri, Symeon, Metallidis, Georgios, Tsoulfas, Maria-Lorena, Aguilera-Arevalo, Gustavo, Recinos, Tamás, Mersich, Dániel, Wettstein, Gabriele, Kembuan, Peiman Brouki Milan, Mohammad Hossein Khosravi, Masoud, Mozafari, Ahmed, Hilmi, Helen, Mohan, Oded, Zmora, Gaetano, Gallo, Francesco, Pata, Gianluca, Pellino, Yuki, Fujimoto, Naoto, Kuroda, Mohamad, K Abou Chaar, Faris, Ayasra, Ildar, Fakhradiyev, Intisar Hisham Said Hamdun, Jang, Jin-Young, Mohammad, Jamal, Lina, Karout, Aiste, Gulla, Fanjandrainy, Rasoaherinomenjanahary, Luc Hervé Samison, Iran Irani Durán Sánchez, Diana Samantha Gonzalez, Laura, Martinez, María José Martínez, Alejandra, Nayen, Antonio Ramos-De la Medina, Jade, Nunez, Pueya Rashid Nashidengo, Rakesh, Shah, Ashish Lal Shrestha, Pascal, Jonker, Schelto, Kruijff, Milou, Noltes, Pieter, Steinkamp, Deborah, Wright, Lukman, Abdur-Rahman, Adesoji, Ademuyiwa, Adewale, Adisa, Babatunde, Osinaike, Justina, Seyi-Olajide, Omolara, Williams, Emmanuel, Williams, Sofija, Pejkova, Zainab Al Balushi, Raza, Sayyed, Mustafa Abo Mohsen, Sadi, A Abukhalaf, Moises, Cukier, Hugo, Gomez-Fernandez, Sebastian Shu Yip, Ximena Paola Vasquez Ojeda, Marie Dione Sacdalan, Piotr, Major, José, Azevedo, Miguel, F Cunha, Ahmad, Zarour, Eduard-Alexandru, Bonci, Ionut, Negoi, Sergey, Efetov, Viktor, Kochetkov, Andrey, Litvin, Jc Allen Ingabire, Georges, Bucyibaruta, Ntirenganya, Faustin, Sosthene, Habumuremyi, Alphonsine, Imanishimwe, Haragirimana Jean de Dieu, Emmanuel, Munyaneza, Isaie, Ncogoza, Abdourahmane, Ndong, Dejan, Radenkovic, Min Hoe Chew, Frederick, Koh, James, Ngu, Arpád, Panyko, Uros, Bele, Jurij Aleš Košir, Hassan, Daoud, Ana Maria Minaya Bravo, Umesh, Jayarajah, Dakshitha, Wickramasinghe, Mohammed Elmujtba Adam Essa Adam, Martin, Rutegård, Malin, Sund, Michel, Adamina, Eleftherios, Gialamas, Karoline, Horisberger, Muhammad, Alshaar, Abel, Huang, Varut, Lohsiriwat, Shane, Charles, Haithem, Jlassi, Arda, Isik, Hervé Monka Lekuya, Slava, Kopetskyi, Hayder, Alsaadi, Sattar, Alshryda, Osaid, Alser, Brittany, Bankhead-Kendall, Kerry, Breen, Hassan, Mashbari, Fernando Bonilla Cal, Hamza, Al-Naggar, Mayaba, Maimbo, Dennis, Mazingi, Tom, Abbott, Melika, Akhbari, Ruth, Benson, Shivam, Bhanderi, Bruce, Biccard, Edward, Caruana, Sohini, Chakrabortee, Reema, Chapatwala, Ainhoa, Costas-Chavarri, Andreas, K Demetriades, Anant, Desai, Salomone Di Saverio, Thomas, Drake, John, Edwards, Jonathan, Evans, Marco, Fiore, Samuel, Ford, Christina, Fotopoulou, Alexander, Fowler, Kaori, Futaba, Ian, Ganly, Harelimana Grace James, Ewen, Griffiths, Alessandro, Gronchi, Peter, Hutchinson, Gabriella Yael Hyman, Joseph, Incorvia, Ritu, Jain, Michael, Jenkinson, Tabassum, Khan, Stephen Richard Knight, Angelos, Kolias, Søren, Kudsk-Iversen, Tsun Yu Kwan, Elaine, Leung, Julio, Mayol, Siobhan, Mckay, John, G Meara, Emily, Mills, Susan, Moug, Akshay, Patel, Roberto, Perinotti, Henry, E Rice, Keith, Roberts, Andrew, Schache, Richard, Shaw, Neil, Smart, Matthew, Stephens, Grant, D Stewart, Ella, Teasdale, Peter, Vaughan-Shaw, Raghavan, Vidya, Naomi, Wright, Natalie, Zimmelman, Ervis, Agastra, Dariel, Thereska, Sergio Martin Lucchini, Veronica, Laudani, Carina, Chwat, Ivana Ines Pedraza Salazar, Diana Alejandra Pantoja Pachajoa, Agustin, Duro, José Alfredo Calderón Arancibia, Giuliana, D'Aulerio, Nagendra, Dudi-Venkata, Natasha, Egoroff, Shebani, Farik, Natalie, Lott, Jana-Lee, Moss, Sarah, Rennie, Lorwai, Tan, Uyen Giao Vo, David, Watson, David, Watters, Tim, Bright, Paul, Hollington, Xuanyu, Zhou, Hidde, M Kroon, Anthony, Farfus, John, Barker, Eleanor, Watson, Sean, Stevens, Haider, Latif, Amanda Caroline Dawson, Alwin, Chuan, Vijayaragavan, Muralidharan, Enoch, Wong, Travis, Ackermann, Maurizio, Pacilli, Russell, Hodgson, Alexander, Heriot, Peter, Choong, Wendy, Brown, Surjit, Lidder, Justin, Yeung, Luke, Traeger, Guillermo, Regalo, Ralph, Gourlay, Sarit, Badiani, Cherry, Koh, Soni, Putnis, Fayza, Haider, Ashrarur Rahman Mitul, Niels, Komen, Bert, Dhondt, Serge, Cappeliez, Manon, Pigeolet, Martijn, Schoneveld, Jasper, Stijns, Wouter, Oosterlinck, Nicolas, Flamey, Cyrille, Kpangon, Mouhamed, Agbadebo, Sèmèvo Romaric Tobome, Aldo Vieira Barros, Samuel Aguiar Júnior, Heloisa Galvão do Amaral Campos, Jefferson, Gross, Felipe José Fernandez Coimbra, Luiz Paulo Kowalski, Fabiana, Makdissi, Suely, Nakagawa, Joao Pedreira Duprat Neto, Jose Guilherme Vartanian, Guilherme, Yazbek, Stenio, C Zequi, Ronald, Flumignan, Natalia, Jaworska, Angela, Dell, Harsha, Shanthanna, Abdollah, Behzadi, Carolyn, Nessim, Michelle, Mozel, Pascal, St-Germain, Crispin, Russell, Gary, Groot, Najib, Safieddine, Duminda, Wijeysundera, Antoine, Eskander, Sami, Chadi, Shawn, Mackenzie, Alana, Flexman, Fernando, Heredia, Julio, Villanueva, Sofia, Waissbluth, Roberto, Macchiavello, Mario, I Escudero, Tyare, Fuentes, Ximena, Mimica, Dinimo Bolivar Saenz, Lina, Caicedo, Juan Pablo Alzate, Joaquin, Luna, Nestor Fabian Pedraza Alonso, Camilo Ortiz Silva, Juliana, Rodriguez, Liliana, Silva-Igua, Martha Luz Torres, Lina María Trujillo, Albaro José Nieto Calvache, Julián, Balanta-Melo, Rafael, Figueroa-Casanova, Oscar-Julián, García-Montoya, Carlos Andres Marulanda Toro, Marcela Velez Botero, Maria Clara Mendoza Arango, Eneida Diaz Martinez, Valentina Gutiérrez Perdomo, Emileth, Montenegro, Julia, Rodriguez-Abreu, Dolores, Mejía, Galal, Abouelnagah, Sameh, Shehata, Ahmed Hossam Eldin Fouad Rida, Ramy, A Hassan, Mahmoud, M Saad, Mohamed Reda Loaloa, Badr, Mostafa, Mohamed, Qassem, Mohamed, Fahmy, Hesham, Abozied, Ahmed, Y Azzam, Sherief, Ghozy, Asser, Sallam, Ahmed, Shehta, Mohamed, Abdelkhalek, Rehab, Samaka, Amr, Morsy, Ahmed Elshawadfy Sherif, Abraham, Negussie, Tigist, Fisseha, Kibruyisfaw, Shumbash, Metasebia, Abebe, Seid Mohammed Yasin, Yemisirach Bizuneh Akililu, Abebe, Megersa, Teshome, Tefera, Melatework, Assefa, Bahru, Atnafu, Bereket, Tsegaye, Yoseph Solomon Bezabih, Silamlak, Sisay, Kebebe, Bekele, Moa, Jira, Habtamu, Derilo, Eyueal, Degefa, Anteneh, Tadesse, Melkamu, Nidaw, Elise, Sarjanoja, Sylvie, Testelin, Sophie, Boucher, Lionel, Jouffret, Zaher, Lakkis, Alban Zarzavadjian Le Bian, Luke, Harper, Marc Danguy des Déserts, Benoît, André, Karem, Slim, Romain, Verhaeghe, Andrea, Police, Edouard, Girard, Alexandre, Chebaro, Armande Subayi Nkembi, Laurent, Arnalsteen, Quentin, Ballouhey, Diane, Mege, Clement, Jeandel, Emilie, Duchalais, Pierre-Alban, Bouche, Gilles, Manceau, Célia, Crétolle, Erik, Hervieux, Noémie, Girard, Agathe, Seguin-Givelet, Sebastien, Gaujoux, Belinda De Simone, Matthieu, Boisson, Damien, Bergeat, Fabien, Fredon, Francesco, Nappi, Radwan, Kassir, Aurélien, Scalabre, Federico, Migliorelli, Anne-Cecile, Ezanno, Barbara, Seeliger, Charlotte, Vaysse, Helene, Charbonneau, Vincent, Misrai, Olivier, Abbo, Martina Aida Angeles, Laurent, Brunaud, Ali, Modabber, Sebastian, Wolf, Carsten, Kamphues, Philipp, Höhn, Tim, R Glowka, Alexander Christopher Rokohl, Ulrich, Bork, Georg, Fluegen, Raymund, E Horch, Andrea, Schmedding, Andreas, Schnitzbauer, Helge, Eberbach, Daniel, Schlager, Fritz, Spelsberg, Lena, Keppler, Andreas, Hecker, Susanne, Wolfer, Ulrich, Ronellenfitsch, Christine, Nitschke, Christian, Peiper, Ibrahim, Hakami, Stefan, Welter, Karine, Nikolaieva, Andreas, Roth, Judith, Lindert, Konstantinos, Gousias, Anke, Rissmann, Valerie Catherine Linz, Nuh, Rahbari, Marie-Claire, Rassweiler-Seyfried, Anna Eleonora Gut, Jens, Gempt, Daniel, Reim, Arthur, Wagner, Alexander, M Keppler, Mircea Gabriel Stoleriu, Tim, Saier, Josef, Stadler, Julia Christina Kaiser, Stefan, M Brunner, Karin, Pfister, Jonas, Herzberg, Kai, Nowak, Tobias, Reinhard, Gregor, A Stavrou, Alfred, Königsrainer, Christian, Konrads, Markus, Quante, Simon, Laban, Silke von Pusch, Markus, Hirschburger, Johannes, Doerner, Armin, Wiegering, Ekaterini Christina Tampaki, Alitza Gutiérrez Ruiz, Alejandra, Rodas, Ana Lucía Portilla, Jacqueline, Carrera, Amalia Barrios Duarte, Megan, Lowey, Sabrina, Barillas, Atul, Suroy, Dhaivat, Vaishnav, Raghunandan Gorantlu Chowdappa, Irappa, Madabhavi, Dhananjaya, Bhat, Sunil Kumar Venkatappa, Sumit, Thakar, Kavitha, Jain, Aruna, Kumar, Manoj, Nagar, Tushar, Mishra, Arunkumar, Sekar, Anand, Gupta, Lileswar, Kaman, Madhivanan, Karthigeyan, Manjul, Tripathi, Ashwin, Rammohan, Sudheer Othiyil Vayoth, Anupama, Rajanbabu, Anbukkani, Subbian, Rahul, Gupta, Monish, Raut, Nissi, Evelyn, R Lavanya Kannaiyan, Anil, Matai, Sanjeev, Misra, Vishal, Bhende, Sathish, Muthu, Indranil, Ghosh, Abhishek, Sharma, Ankur, Bajaj, Shiv, Rajan, Gaurav, Agarwal, Pranay, Pawar, Philip, Alexander, M Vijayakumar Vijayakumar, Zeeshan, Hameed, Badareesh, L, Navneet Kumar Chaudhry, Lipika, Baliarsing, Satish, Dharap, Amruta, Kulkarni, Yuvaraja, Thyavihally, Rahul Deo Sharma, S Pramesh, C, Rajesh, Soni, Surya Kumar Dube, Shilpa, Sharma, Harvinder, Singh, Lovenish, Bains, Rahul, Ghodke, Ashwani, Kumar, Vivek, Sodhai, Suvendu, Maji, Somprakas, Basu, Chandrashekhar, Mahakalkar, Ravi, Kannan, Asif, Mehraj, Ranganath, N, Ashish, Phadnis, Yadev, I, Alfie, Kavalakat, Rohin, Mittal, Karthik Chandra Vallam, Hamed, Akhavizadegan, Esmaeil Rezghi Maleki, Naser Yousefzadeh Kandevani, Hilary, Ikele, Catherine, Mcnestry, Christina, Fleming, Stephen, O'Brien, Sami Abd Elwahab, Niall, Davis, Mohsen, Javadpour, Brendan, Mcdonnell, Clare, O Connor, Jarlath, Bolger, Cillian, Clancy, Stefanie, M Croghan, Noel, Donlon, Carolyn, Cullinane, Ben, Creavin, Muheilan, Muheilan, Helen, Earley, Syed Mohammad Umar Kabir, Muhammad, Fahadullah, Éanna, Ryan, Tara, Connelly, Daisuke, Hashimoto, Majdi Ali Alqudah, Amer, Alajalen, Rand, Y Omari, Abdulrahman, Qasem, Yazan, Alawneh, Amer, Ahmad, Omar, Aladawi, Bourhan, Alrayes, Hanan, Haidar, Shatha, Husain, Faisal, Qassem, Adnan, Sumadi, Ala'a Abu Salhiyeh, Balqees Mahmoud Al-Manaseer, Zaid, Alsunna, Hazim, Ra'Ed, Faten Reyad Bani Hamad, Amro, Abuleil, Elmi Ahmed Mohamed Jimaale, Marah, Abu-Mehsen, Noor, Olaywah, Omar, Wafi, Hazim, Ababneh, Luai, Abu-Ismail, Almu'Atasim, Khamees, Ahmad, Alkhatib, Raikhan, Bolatbekova, Mukhtar, Kulimbet, Talgat, Nurgozhin, Timur, Saliev, Baurzhan, Zhussupov, Ydyrys, Almabayev, Dilyara, Kaidarova, Khalil, Tamoos, Ahmed, Aqeelah, Alsnosy Abdullah Khalefa Mohammed, Faraj Al Maadany, Ghadah, Alkadeeki, Milad, Gahwagi, Wafa, Aldressi, Mohamed, Amnaina, Arowa Hassan Abdulrahman Alansari, Akram, Alkaseek, Ghozlan, Yagoub, Anass Ben Amer, Marwa, Salem, Ayman, Almugaddami, Dania, Burgan, Mohammed, Abdelkabir, Khayriyah, Alshareef, Rayet Al Islam Ben Jouira, Ayman, Meelad, Ahmad, Bouhuwaish, Sumayya Essayah Dwaga, Houda, Khalifa, Bushray, Almiqlash, Taha, Suliaman, Mohammed, Alawami, Fras, Elhajdawe, Hajir, Aboazamazem, Ibrahim, Ellojli, Ahmed, Msherghi, Ismail Ali Saleh, Mohammed, Alayan, Marcel Didier Ndayishyigikiye, Akutu, Munyika, Philipp, Plarre, David, W Borowski, Cameron, Wells, Rebecca, Teague, Brodie, Elliott, David, Kieser, Omar, Mohyieldin, Nick, Mcintosh, Cheyaanthan, Haran, Jasmin, King, Jeong, Ha, Matthew James McGuinness, Opeoluwa, Adesanya, Julius, Olaogun, Akinola, Akinmade, Kefas, Bwala, Peter, Agbonrofo, Akinwale, Afolabi, Usang, Usang, Sebastian, Ekenze, Samson, Olori, Taiwo Akeem Lawal, Abiodun, Okunlola, Stephen, Kache, Danjuma, Sale, Lofty-John, Anyanwu, Chukwuma, Okereke, Musliu Adetola Tolani, Venko, Filipce, Lazar, Todorovic, Sotir, Stavridis, John George Massoud, Sareyah, Alsibai, Rizwan, Sultan, Humera Naz Altaf, Abu Bakar Hafeez Bhatti, Shahzad Hussain Waqar, Aliya, Aziz, Asad Ali Kerawala, Lajpat, Rai, Mariyah, Anwer, Aiman, Tariq, Bushra, Ayub, Sami Ullah Niazi, Muhammad Yasir Naseem, Muhammad Zeeshan Sarwar, Muhammad Imran Khokhar, Imdad Ahmad Zahid, Haroon Javaid Majid, Nabila, Talat, Muhammad, Asif, Muhammad Hamid Chaudhary, Umer, Farooq, Siddique, Ahmad, Waleed, Mabood, Syed Imran Bukhari, Muhammad, Tariq, Eesha, Yaqoob, Saad, Javed, Muhammad Usman Malik, Hassan Nawaz Yaqoob, Glenda Marina Falcon Pacheco, Robinson Mas Melendez, Arazzelly Del Pilar Paucar Urbina, Jose Rios Chiuyari, Carlos Eduardo Otiniano Alvarado, Lorena Fuentes Rivera Lau, Giuliano, Borda-Luque, Milagros, Niquen-Jimenez, Claudia, Arias, Sergio, Zegarra, Jenner Betalleluz Pallardel, Regina Amparo Ugarte Oscco, Gian, Mendiola, Yahaira Tatiana Carpio Colmenares, Carlos Shiraishi Zapata, Maria Rosa Ortiz, Filipe Castro Borges, Octavio, Viveiros, Pedro, Serralheiro, Paulo, Santos-Costa, Filipa, Mendes, Miguel Rocha Melo, Paulo, Cardoso, Ana, Soares, Rita Gonçalves Pereira, Nelson, Silva, André, Caiado, Maria Luís Sacras, Pedro, Azevedo, Rui, Almeida-Reis, João, Oliveira, Jorge, Nogueiro, Mafalda, Sampaio-Alves, Luciana Cidade Costa, Catarina, Baía, Ana Cláudia Deus, Rita, Branquinho, André, Marçal, André, Tojal, Silviu Tiberiu Makkai-Popa, Aurel, Mironescu, Florin, Grama, Elena Adelina Toma, Daniela, Filipescu, Nicolae, Bacalbasa, Natalia, Motas, Sebastian, Ionescu, Octav, Ginghina, Radu, Costea, Narcis Octavian Zarnescu, Radu, Drasovean, Mihail-Gabriel, Dimofte, Vlad, Porumb, Mikhail, Kirov, Yegor, Molitvin, Vadim, Pykhteev, Marianna, Raevskaya, Aleksandr, Butyrskii, Mushabab, Alshahrani, Azah, Althumairi, Nasser, Alzerwi, Ahmed Al Ameer, Tariq, Madkhali, Abddulrahman Saleh Almulhim, Salman, Ghazwani, Abdu, Ayoub, Othman, Iskander, Mohammed, Ghunaim, Mohammed, Alharthi, Turki, M Alzaidi, Mohammad, Alyami, Abdulrahman Al Amri, Abdullah, Alfakhri, Amal, Alhefdhi, Sharfuddin, Chowdhury, Thamer, Nouh, Ameen, Alshehri, Abdulrahman, Alzahrani, Yousef, Alalawi, Selmy, Awad, Ibrahima, Konate, Jacques, Tendeng, Nan Zun Teo, Sabra, Aqil, Cristina Barrena López, Ana Sánchez Mozo, Antonio Rodriguez Infante, Patricia Caja Vivancos, Mikel, Prieto, Igor Alberdi San Roman, Laura Gomez Fernandez, Josep Maria Muñoz Vives, Anna, Carreras-Castañer, Berta, Díaz-Feijoo, Ramon, Sieira-Gil, Victor, Turrado-Rodriguez, Anna Sánchez López, Santiago, Sánchez-Cabús, Marta Jimenez Toscano, MªPilar Canals Sin, Saura García Laura, Oriol Martin Sole, Pedro Palazon Bellver, Sonia, Pérez-Bertólez, Jordi, Prat-Ortells, Mireia Riba Martínez, Josep, Rubio-Palau, Xavier, Tarrado, Jorge, Nuñez, Veronica Alonso Mendoza, Coro, Bescós, Eloy, Espin-Basany, Martin, Espinosa-Bravo, Daniel, Gil-Sala, Susana, González-Suárez, Nuria Montferrer Estruch, Lucia Porteiro Mariño, Ana, Rodríguez-Tesouro, Fabian Rojas Portilla, M Pilar Tormos Pérez, Inmaculada, Vives, Unai Garcia De Cortazar, Kiara, Tudela, Aitor, Landaluce-Olavarria, Mercedes Estaire Gómez, Jorge, Almoguera, Bakarne, Ugarte-Sierra, Virginia, Jimenez, Marta, Bertrand, Laura Cárdenas Puiggrós, Olga, Delisau-Puig, Jorge, Garcia-Adamez, David Julià Bergkvist, Eloy, Maldonado-Marcos, Lucia Diego García, Marta Roldón Golet, Iván, Soto-Darias, Aida Cristina Rahy-Martín, Diego, Enjuto, Adolfo, Ramos-Luengo, Juan Delgado Fernandez, Carolina Lugo Duarte, Cristina Ojeda Thies, Lucila, Marquez, Diana Crego Vita, Jana, Dziakova, Jorge Caño Velasco, Olga, Mateo-Sierra, Begoña, Quintana-Villamandos, Cristina Rey Valcarcel, Javier, Rio, Laura Román García de León, Marcello Di Martino, Jorge, Prada, Javier Serrano González, Manuel, Losada, Jose Tomas Castell Gomez, Ramon, Corripio-Sanchez, Alexander, Forero-Torres, José Manuel Morales-Puebla, Hanna, Perez-Chrzanowska, Santiago Valderrabano Gonzalez, Alvaro, Yebes, Ignacio, Zapardiel, Manuel Diez Alonso, Nelson Morales Palacios, Alberto Cabañero Sánchez, Fátima Sánchez Fernández, Alfredo Abad Gurumeta, Ane, Abad-Motos, Fernando, Corella, Javier, Ripollés-Melchor, Rosa, Sanz-Gonzalez, Marta Alcaraz Fuentes, Maria Teresa Fernández Martín, Pablo Calvo Espino, Milagros Carrasco Prats, Antonio-José, Fernández-López, Damián García Escudero, Vanesa Garcia Soria, Jesús Aarón Martínez Alonso, Miguel, Ruiz-Marín, Beatriz Gómez Pérez, Joaquin, Moya-Angeler, Daniel Fernández Martínez, Heura Llaquet Bayo, Enrique, Colás-Ruiz, Susana Bella Romera, M Teresa Gavaldà Pellicé, Misericòrdia Jordà Solé, Enrique Jose Ruiz Velasquez, Bernardo, Núñez, Raul, Jimenez, Jon, Zabaleta, Maria Jose González-Gimeno, Irene Ortega Vázquez, Antonio Perez Ferrer, Rubén, Martín-Láez, Marcelo Moreno Suarez, Miguel Angel Freiria Eiras, Irene, Ramallo-Solís, Juan-Carlos, Gomez-Rosado, Jose Ramon Oliver Guillen, Mar Achalandabaso Boira, Juan Carlos Catalá Bauset, Julio, Domenech, Rafael, Badenes, Juan Carlos Bernal-Sprekelsen, Jorge, Sancho-Muriel, Beatriz De Andrés-Asenjo, Francisco, J Tejero-Pintor, Marc, Vallve-Bernal, Alba Vazquez Melero, Laura Sánchez Blasco, Jorge, Escartin, Victoria Duque Mallén, Selvaratnam, Srishankar, Charitha, Sooriyabandara, Oshan, Basnayake, Nalaka, Gunawansa, Prabuth Dulanjan Weeraddana, Thanusan, Vimalakanthan, Shanthamoorthy, Gishanthan, Pramodh, Chandrasinghe, Marc-Olivier, Sauvain, Ahmad, Ghazal, Yusra, Al-Sabbagh, Turki, Alhassoun, Sara Maa Albared, Antoine, Naem, Hareth, Alnahr, Ghassan, Jisry, Ali, Hammed, Okedi Francis Xaviour, Gaston, Turinawe, Isaac, Mubezi, Franck, K Sikakulya, Andrew, Kakeeto, Wilberforce, M Kabweru, Ronald, Kiweewa, Paul, Matovu, Otolia, Isaac, Mohamed, Mashhour, Amin El Helw, Safeena, Kherani, Awadelkarim, Mohamed, Ferial Mohamed Ali Abbas, Diary, Mohammed, Ehab, Aldlyami, Rakesh, Kundra, Antony Louis Rex Michael, Kareem, S Khalil, Rachel, Dbeis, Shafaque, Shaikh, Jenny, Ferry, Aiman, Jamal, Haleema, Siddique, Rishi, Das, Nikhil, Ponugoti, Pornjittra, Rattanasirivilai, Asma, Sultana, Frances, Mosley, Matthew, Chan, Antony, Bateman, Gareth, Davies-Jones, Fanourios, Georgiades, Navid, Ahmadi, Aman, Coonar, Mariam, Baig, Chetan, Khatri, Arthika, Surendran, Julian, Sonksen, Robert, Sinnerton, Caitlin, Brennan, Gemma, Faulkner, Michael, Greenhalgh, Hannah, Emerson, Kiran, Singisetti, Joshua, Totty, Michael, Wilson, Terence, Lo, Harriet, Corbett, Ijeoma, Okonkwo, Gill, Arbane, Cyrus, Kerawala, Chetan, Parmar, Michael, Bath, Funlayo, Odejinmi, Jayesh, Sagar, Rishi, Talwar, Samuel, Newman, John, Hammond, John, Moir, Natalie, Duric, Tamas, Szakmany, Ahmar Iftikhar Talib, Mina, Youssef, Christopher, Lewis-Lloyd, Mariam, Lami, Khurram, Ayub, Benjamin, Dean, Supriya, Balasubramanya, Sathya, Lakpriya, Luke, Rogers, Paul, Turner, Mark, Maher, Kohila, Sigamoney, Jihène El Kafsi, John, Hardie, David, Johnson, Christin, Henein, Marianne, Hollyman, Ketan, Agarwal, Simon, Powell, Govind Singh Chauhan, Rakesh, Patel, Joel, Gagnier, Heather, Carmichael, Aurora, Kristofor, A Olson, Eric, Etchill, Sameer, Hirji, Matthew, Naunheim, Frederick, Drake, Caroline, Reinke, Anna, Alecci, Dennis, Vaysburg, Jennifer, Rodriquez, Emily, Shih, Vin Shen Ban, Julia, Coleman, Krista, Kaups-Fresno, Emmanouil, Giorgakis, Maggie, Dinome, Neal, Bhutiani, Omar, Alnachoukati, Taylor, Aiken, Thomas, Diehl, Ankush, Gosain, Rishi, Rattan, Muhammad Owais Abdul Ghani, Nensi Melissa Ruzgar, Anna, Liveris, Nina, Glass, Charu, Paranjape, Theresa, Chin, Antonio, Meola, Kristina, Nicholson, John, Squiers, Stephanie, Lueckel, Janani, Reisenauer, Rachael, Callcut, Ahmed, Mansour, Allison, Berndtson, Lucy, Kornblith, Sara, Seegert, Paulo, 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Amanda Lira Dos Santos Leite, Laercio, Pol-Fachin, Tainá Santos Bezerra, Alcimar Lavareda Dos Santos Junior Alcimar, Robson, Amorim, Maria Eduarda Bellotti Leão, João José Corrêa Bergamasco, Cintia Cardoso Pinheiro, Rubem Alves Da Silva Neto, Elaine Francisca De Araújo, Lilian, Guimaraes, Tatiana, Liborio-Kimura, Isabelle Melo da Camara, Victor Ripardo Siqueira, Juan, Rodriguez, Jeancarllo, Silva, Rubem Alves Silva Junior, Cláudio, Cardoso, Andre, Guimaraes, Wislene Sarajane Moreira Alves, Agna Soares Da Silva Menezes, Marcelo, Araujo, Kattiucy, Brito, Josie Marcelle Lira Albuquerque, Jairo Alberto Dussan-Sarria, Andressa, Souza, Andre Ricardo Stüker, Tiago, Bresciani, Luciana Cadore Stefani, Leandro Totti Cavazzola, Tainá, Costa, Matheus, Dasqueve, Gustavo De Bacco Marangon, Otávio Ritter Silveira Martins, Josy, Rodrigues, Guilherme Roloff Cardoso, Brasil Silva Neto, Tilaê, Soares, Aline, Zanella, Lucas Torelly Filippi, Enilde Eloena Guerra, Ricardo Pedrini Cruz, Antonio Nocchi Kalil, Gustavo, Laporte, Moacyr, Salem, Murilo de Lima Brazan, Caio Antonio de Campos Prado, Elaine Christine Dantas Moises, Hilda Satie Suto, Alice Gadotti Yasuda, Ana Carolina Tagliatti Zani, Roberto Cardoso Cardoso Dos Santos, Geraldo, Duarte, Edwaldo Edner Joviliano, Carolina Lourenço Gomes Dos Santos, Silvana Maria Quintana, Edwin, Tamashiro, Fabiana Cardoso Pereira Valera, Marília Veccechi Bijos Zaccaro, Isis, Andreotti, Leonardo, Lima, Wilson Salgado Jr, Alonço da Cunha Viana Júnior, Lana, Moutinho, Cora Pichler de Oliveira, Isabela Trindade Martins, Isabela Vieira Toledo, Marco Antonio Correa Guimaraes-Filho, Rodrigo, Arrivabeno, Claudio Bovolenta Murta, Danniel Frade Said, Jose Pontes Junior, Felipe Guimarães Pugliesi, Paulo, Gregorio, Alessandro, Mariani, Fabio, Minamoto, Juliana Lourenço da Silva, Bruno, Muller, Caio, Zanon, Vladimir, C Carvalho, Ana Lucia Munhoz Lima, Priscila, R Oliveira, Jorge Dos Santos Silva, Mariana Faccini Teixeira, Marco, Kulcsar, Leandro, Matos, Kamilla Schmitz Nunes, Joel Abdala Junior, Emne, Abdallah, Genival Barbosa Carvalho, Igor Correia de Farias, Cassia da Silva, Fabio Fernando Eloi Pinto, Luciana, Facure, André, Godoy, Bruna, Kupper, Fernanda, Leite, Matheus de Melo Lôbo, Henrique, Mantoan, Narimã, Marques, Tomas, Marques, João Paulo Medici, Silvio Melo Torres, Katheryne Merlos Garcia, Rafael Ribeiro Meduna, Ana Carolina Scintini Herbst, Silvana Soares Dos Santos, Bruna Tirapelli Gonçalves, Marcelo, Antonini, Carolina, Brienze, José Francisco Farah, Rodrigo, Gonçalves, Vinicius, Machado, Luis Roberto Nadal, Danilo Nadal Rodrigues, Adrieli, Pansani, Maria Luiza Rocha, Marcelo, Simonsen, Daniela, Tsuchiya, Rafaela, Vasques, Jorge, Amorim, Ana Alyra Carvalho, Rebeca, Correia, Brena Costa Dos Santos, Henrique Jorge Guedes Neto, Luis, Nakano, Mariana, Pereda, Vladimir, Vasconcelos, Jamile Barakat Awada, Guilherme, Gava, Tiago Riuji Ijichi, Nam Jin Kim, Rafael, Nunes, Fabio, Pinto, Thiago Henrique Sigoli Pereira, Gustavo Jardim Volpe, Arthur, Gatti, Caroline, Nardi, Ramon, Oliva, Layze Braz de Oliveira, Herica Emilia Félix de Carvalho, Ivonizete Pires Ribeiro, Gabriel Renan Soares Rodrigues, Álvaro Francisco Lopes de Sousa, Michel, Chebel, Paulo Henrique de Sousa Fernandes, Marcelo Augusto Faria Freitas, Juliano Rodrigues da Cunha, Zeenia, Ather, Dobromir, Dimitrov, Emil, Filipov, Elitsa, Gyokova, Ivelina, Ilieva, Tsvetomir, Ivanov, Martin, Karamanliev, Vasil, Neykov, Boyko, Atanasov, Nikolay, Belev, Paolina, Kamenova, Kaloyan, Tonev, Tsanko, Yotsov, Evguenia, Hristova, Kolyo, Spassov, Tsanko, Tsankov, Dragomir, Dardanov, Petar, Gribnev, Manol, Sokolov, James, Brown, John, Tanyi, Heather, Hurdle, Anthony, Maclean, Michael, Sander, Salim Al Riyami, Krittika, Bali, David, Bigam, Khaled, Dajani, Mehran, Anvari, Rafik, Bolis, David, Choi, Susan, Ellis, Michael, Gupta, Wael, Hanna, Dennis, Hong, Cynthia, Horner, Lea, Luketic, Peter, Moisiuk, Yaron, Shargall, Hilda, Alfaro, Nawar, Alkhamesi, Laura, Allen, Muriel, Brackstone, Eunice, Chan, Davy, Cheng, Jason, Chui, Nelson, Gonzalez, Brent, Lanting, S Danielle MacNeil, Robert, Mayer, Jacob, Mcgee, Mahesh, Nagappa, Nicholas, Power, Agya, Prempeh, Mehdi, Qiabi, Hassan, Razvi, Emil, Schemitsch, Herman, Sehmbi, Ushma, Shah, Yamini, Subramani, Edward, Vasarhelyi, Kelly, Vogt, Homer, Yang, Ali Ghorbani Abdehgah, Saba, Balvardi, Liane, Feldman, Julio Flavio Fiore Jr, Melissa, Hanson, Brent, Hopkins, Pepa, Kaneva, Lawrence, Lee, Julia, Leonard, Jad, Abou-Khalil, Andre, Martel, James, Stevenson, Susan, Lee, Richard, Merchant, Samuel, Avoine, Laurence, Belanger, Mathieu, Belanger, Etienne, Belzile, Anne-Sophie, Blais, Sofia, Boucher-Kovalik, Cindy, Boulanger-Gobeil, Etienne, Cardinal, Pierre-Olivier, Champagne, Jonathan, Cloutier, Simon, Corriveau-Durand, Mathieu, Cote, Maxime, Cote, Mathilde, Côté, Valérie, Courval, Suzanne, Demers, Christine, Desbiens, Mehdi El Ouazzani, Karine, Girard, Ève-Marie, Girard, Karo, Gosselin, Helene, Khuong, Nathalie, 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Philemon, Leung, Andrew, Lindberg, Juan Mata Gutierrez, Kelly, Mayson, Adam, Meneghetti, Drew, Phillips, John, Street, Carolina Carvajal Calderón, Daniel Alejandro Donoso Pizarro, Esteban, Fernández, Ángela, Molero, Nastassja, Mutarello, Jorge Núñez Lucic, Katherine Ochoa Gaete, Catalina Ruiz Lopez, Rina, Sepúlveda, Camila, Ulloa, Mauricio, Barreda, Matias, Dallaserra, Matías Günther Wood, Mauricio Sandoval Tobar, Francisco, Garcia-Huidobro, Jimena, Dona, Carolina Soto Diez, Daniel, Igor, Javier, Mena, José Tomás Reyes, Catalina Arredondo Soto, Jose, Campos, Javier, Gonzalez, Barbara, Rivera, Jaime, Altamirano-Villarroel, David, Cohn, Luis Marin de Amesti, Pedro, Recabal, Camilo, Sandoval, Bruno Catoia Fonseca, Monica, Contador, Andres, Hodali, Camila, Pincheira, Andrea Ramos Mantilla, Claudio Salas Garrido, Janina, Torres, Marco, Valenzuela, Zehua, Chen, Jiankun, Hu, Jin, Tao, Kun, Yang, Yuexin, Zhang, Yuan, Chen, Wang, Cunchuan, Wah, Yang, Xueli, Bai, Tingbo, Liang, Tao, Ma, Ning, Pu, Hanlin, Yin, Camilo, Caicedo, Diego Felipe Tellez Beltran, Alejandro, Escobar, Carolina Perez Granados, Lisbeth Alexandra Urueña Pinzon, Carlos, Bonilla, Diana, Santana, Oscar, Serrano, Andrea, Garcia, Fernando Giron Luque, Nasly, G Patino-Jaramillo, Laura Giselle Contreras Baquero, Nestor Augusto Muñoz Botero, Jhoana Andrea Murillo Castellanos, Andrea Juliana Vega Calvera, Lina, M Acosta Buitrago, Maria Paz Bohórquez-Tarazona, Paulo Andrés Cabrera Rivera, J Felipe Casas, Valeria Cormane Alfaro, Julian, Corso, Bayron, Guerra, Albert Franz Guerrero-Becerra, Akram Kadamani Abiyomaa, Felix Ramon Montes, Manuel Santiago Mosquera Paz, Camilo Andrés Polanía Sandoval, Natalia, Quintana, Carlos Fernando Roman Ortega, Carlos, Santacruz, Manuela, Téllez, Camilo Alejandro Velandia Sánchez, Fernando, Arias-Amézquita, Luis Felipe Cabrera Vargas, Natalia Cortes Murgueitio, Elkin, Escorcia, Kemel Ahmed Ghotme Ghotme, Jorge Luis Gomez-Mayorga, Alvaro Felipe Guerrero Vergel, Gabriel, Herrera-Almario, Eduardo, Londono-Schimmer, Juan, A Mejia, Guillermo, Monsalve, Camilo, Rodriguez, Juan Nicolas Rodriguez Niño, Luis Martín Rodríguez Ortegón, Daniel, Sanabria, Andres, Alvarez, Arnulfo, Andrade, Javier, Ardila-Montealegre, David, Baquero, Edgar Mauricio Barrios Vidales, María Alejandra Caicedo Giraldo, María Camila Carvajal, Maria, Castillo, Maria Carolina Castillo Florez, María Angelica Cendales, Danny Conde Monroy, Henry, Cortes, Mario, Daniel, Jairo De la Peña, Elena Leonor Delgado-Nieto, Hernando, Espitia, Carlos Figueroa Avendaño, Edgar Oswaldo Hernandez Burgos, Andres, Isaza-Restrepo, German, Londono, Margarita Maria Maldonado, Andrea, Montenegro, Juan Carlos Navarro, Jorge, Navarro-Alean, Katherine Parra Abaunza, Eliana, Pulido, Erika, M Ramírez Amaya, Carlos Eduardo Rey Chaves, Natalia Andrea Rivera Rincón, William Mauricio Riveros Castillo, Lizeth Rodriguez Sanchez, Wilson, Rubiano, Maria, Russi, Juan Carlos Sabogal Olarte, Javier Mauricio Salgado Tovar, Maria Juliana Sanchez, David Mauricio Solano Varela, Paula Torres Gomez, Marcial, Trillos, Ana María Vargas Patiño, Felipe, Vargas-Barato, Juan Pablo Villate Leon, María Alejandra Wagner Useche, Jesus, Acosta, Adriana, Almeciga, Luis Becerra Mendez, Rafael Jose Beltran, Ana, Bonilla, Miguel, Buitrago, Marino, Cabrera, Pedro Hernando Calderon Quiroz, Diego, Camacho-Nieto, Carlos Andrés Carvajal Fierro, Sergio Cervera Bonilla, Sandra, Diaz, Helena, Facundo, Jorge, Forero, Mauricio Garcia Mora, Karena Victoria Garcia Tirado, German Fabian Godoy Perez, Felipe, Gonzalez, Oscar, Guevara, Jairo Alonso Hernandez, David Ricardo Herrera Mora, Juan David Lalinde, Carlos, Lehmann, Eduardo Leon Llanos, Byron Eduardo Lopez De Mesa Lopez, Ivan, Mariño, Monica, Medina, Raúl Eduardo Pinilla Morales, Angela, Puerto, Andrea, Quintero-Ortíz, Juliana Rendón Hernández, Elio Fabio Sánchez Cortés, Alvaro Eduardo Sánchez Hernández, Raul, Suarez, Oscar, Suescun, Marco, Vanegas, Rodolfo, Varela, Jorge Luis Velez Bernal, David, Viveros-Carreño, Daniela Camargo Gómez, Angelica, Fletcher, Abel, Merchan, Euler Javier Burbano Luna, Indira, Cujiño, Mauricio Velasquez Galvis, Lina Maria Vergara Galliadi, Orlando Abonia Gonzalez Abonia Gonzalez, Maria Fernanda Acuna Saravia, Roberto, Arroyave, Jose Maria Barreto Angulo, Francisco Javier Bonilla-Escobar, Uriel, Cardona, Ivan Castañeda Giacometto, José Luis Castillo, Diego Fernando Castillo-Cobaleda, Diego Jose Caycedo Garcia, Brenda Marcela Coll Tello, Juan Carlos Dueñas-Ramirez, Oscar Andres Escobar Vidarte, Luis, Figueroa, Herney, Garcia-Perdomo, Alden, Gomez, Laura, Gomez, Alejandro, Gomez, Ana María Grande-Gil, David, Guarin, Natalia, Guzman, Enrique Herrera Castañeda, Marisol, Hinaoui, Anuar Armando Idrobo Escobar, Christian Kammerer Kammerer, Sergio, Leon, Carlos Antonio Llanos Lucero, Angie, López, Alexander Maximiliano Martinez-Blanco, Antonio José Montoya Casella, Ricardo Andres Niño Corredor, Sebastian, Ordoñez, Diego Alfredo Palta Uribe, 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Alvarez, Cesar David Galindo Regino, Angela Maria Giraldo Velasquez, Carlos Enrique Melo Moreno, Jorman, H Tejada, Jesus Hernan Tovar, German Alirio Tovar, Edison Alexander Benavides Hernández, Claudia Milena Orozco-Chamorro, Gustavo Adolfo Angel, Christian Ali Buesaquillo, Victor David Olave Montaño, Andrés, Sánchez-Gómez, Daniela Patricia Escalante Ureche, Jairo Martinez Garrido, Eben-Ezer, Genda, Fabrice, Eboma, Kristina, Bitunjac, Karlo, Grulović, Marijana, Vučković, Goran, Šantak, Emanuel, Borovic, Ana Bosak Versic, Damir, Hasandić, Natasa Poldan Grabar, Suzana Srsen Medancic, Lucija, Brkic, Sara, Cokarić, Petra Pavic Palac, Zeljka, Samac, Josipa, Tomić, Marija, Vrdoljak, Ivan, Bacic, Bernarda, Bakmaz, Nikolina Bratošević Vučičić, Domagoj, Brzic, Samir, Canovic, Emilio, Dijan, Maja Grgec Dragicevic, Robert, Karlo, Suzana, Konjevoda, Petra, Kovačević, Ivan, Kovačić, Frane, Markulić, Luka, Matak, Domagoj, Morović, Gordan, Perišić, Andrea, Simic, Neven, Skitarelić, Matea, Veršić, 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Ioanna, Pozotou, Olga, Stavrinidou, Anneza, Yiallourou, Lukáš, Burda, Michal, Dosoudil, Lubomir, Martinek, Wladyslaw, B Gawel, Milan, Lerch, Matúš, Peteja, Jan, Žatecký, Toman, Daniel, Martin, Formánek, Veronika, Javurkova, Markéta, Kepičová, Nicole, Macečková, Petr, Matousek, Ondrej, Simetka, Petr, Vavra, Karol, Zelenik, Jan, Černý, Sami, Khan, Robert, Lischke, Martin, Přibyl, Temoore, Younus, Yenuksha, Amarasena, Karel, Klíma, Setareh, Pirmorad, Zuzana, Hotová, Aleš, Mladěnka, Nulvin, Bozo, Julie Lykke Harbjerg, Louise, Hviid, Helle, Ø Kristensen, Mira, Mekhael, Mette Fugleberg Nielsen, Laerke, Paulsen, Saija, Sinimäki, Louise Zinck Mogensen, Peter, Bonde, Anders Lyng Ebbehøj, Anne-Sophie, Fenger, Aleksander Fjeld Haugstvedt, Christine Hangaard Hansen, Maria Lovisa Jönsson, Lars, N Jorgensen, Peter-Martin, Krarup, Anne-Louise, Lihn, Christian, Meyhoff, Helena, Otte, Anas Ould Si Amar, Henrik, Palm, Nis, Schlesinger, Henry, Smith, Ida, Tryggedsson, Anne Reiss Axelsen, Jens Kristian Baelum, Mark Bremholm Ellebaek, Signe Bremholm Ellebaek, Anders, Hogh, Maria, Acosta, Yancy, Acosta, Pedro, Baez, Luis Alfredo Betances, Luis Rodolfo Bonilla, Daniel, Cabreja, Wilton Cabrera Cruz, María Mabel Collado Expósito, Aldo, Crespo, Octavio, Cruz-Pineda, Claudio Samuel D'óleo García, Pedro, Díaz, Remberto, Escoto, Jatnna, Figueroa, Luis, Garcia, U Garcia-Dubus Rodriguez, Humberto, Gomez, Adrian, Grullon, Fatherin, Guerrero, Lillian, Guzman, Thelma Rocío Jiménez Mosquea, Engels, Lazala, Ariela, Lopez, Leeany Maletta Francisco, Jhomayri, Mercado, Herisardy, Munoz, Jeffrey, Paulino, Maricely Ambar Perez Fernandez, Rudeily, Reyes, Lilia Rosa Reyes Guilamo, Ruben, Rivas, Claudia Alejandra Rivas Torres, Ada, Rodríguez, Madelin Tamar Rosario Villa, Eleazar, Santana, Joel, Soto, Nassin, Tactuk, Cristina Kristel Tonos Sardiñas, Raul, Ubinas, Jose, Victoria, Aaron, Villegas, Ricardo, Acra-Tolari, Larissa, Beltran, Luis Fernand Betances, Alejandro, Blaubach, Denisse Idalia Campos Mejía, Nathalia, Capellan, María Fernanda Cedeño Bruzual, Saray Cordero Spencer, Gabriella Cuevas Lantigua, Luis De Jesus, Gabriela, Díaz, Pedro Pablo Díaz Vásquez, Karla, Disla, Jesús Antonio Echavarría Uceta, Paola Irina Eusebio Jimenez, Damaris, Fernandez, Marlin Fernandez Camilo, Jiomar Manuel Figueroa Germosen, Maruel, Fortunato, Leyla Gabriel Fernández, Alicia German Dihmes, Héctor, Herrera, Elizabeth Leon Cuevas, Jose Alejandro Mata, Mirian Mateo De La Cruz, Dolores Mejia De la Cruz, Marcos, Mirambeaux, Fabio Ortiz De La Cruz, Henry, Paulino, Gabriela, Pelletier, Merycarla, Pichardo, Rodriguez Pumarol Próspero Enrique, Julio, Rivas, Ann Stephany Sanchez Marmolejos, Roman Santana Santana, Irina Suero Almanzar, María Magdalena Vásquez Sánchez, Nicolás, Campuzano, José Ricardo Negrete Ocampo, Maria, Armas, Alvaro Santiago LeMarie Guerra, Gustavo León Vizcaya, Omar Ahmed Abdelwahab, Ahmed, O Elmehrath, Mohammed Ezzat Mostafa, Gamal, Amira, Ibrahim, Sallam, Mohamed, Sherief, Ahmed, 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Maher, Hosain, Ahmed, Hossam, Hamza Hussein Aly Salama Aly, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Ibrahim, Noha Mohamed Salah Ibrahim Moussa Hamouda, Monica, Iskander, Islam, Khalifa, Mostafa, Kotb, Nada, Mahmoud, Alaa Mahmoud Abo Shabana, Nora, Mamdouh, Maram, Metwalli, Khaled, Metwally, Mahmoud, Moghazy, Moustafa, Mohamed, Mohamed, Mourad, Esraa, Moustafa, Kamilia, Mubarek, Nour Eldin Nader, Ahmed, Nasser, Samaa, Omar, Mostafa Shehata Qatora, Mohamed, Ragab, Marawan, Ragal, Dina, Ramadan, Rana, Ramadan, Sara, Ramadan, John, Romany, Ahmed, Sabry, Yasmeen, Said, Sara, Salamah, Ahmed Mostafa Saleh, Mona Saleh Mesbah Mohamed Elkaffas, Alaa, Salem, Hashem, Salim, Ahmed, Samih, Ahmed Samir Abdelaal, Ahmed, Shaheen, Yassmeen Sharafeldin Mohammed, Abdelrahman, Shehata, Mohamed, Shemeis, Karim, Shenit, Mennatallah, Sheta, Asmaa, Soffar, Yousef, Tanas, Ahmed, Tarek, Nermin, Yehia, Omar Khaled Mohamed Eid, Ammar Yasser Abdulfattah, Ahmed, Elsaghir, Mohamed Fouad Elganainy, Omar Ibrahim Elsayed, Omar, Elmandouh, Omar, Hamam, Mostafa Ahmed Shehata, Areej, A Abdelaziz, Ahmed, M Abbas, Wael Abd El-Ghani, Hossam Aldein, S Abd Elazeem, Mustafa Abd Elsayed, Ahmed Yassien Abd-Elkariem, Shimaa, Abdalla, Mahmoud, Abdel-Aleem, Khaled, Abdelazeem, Mahmoud, Abdelfattah, Mohammed, Abdelhafez, Mohamed, M Abdelkarem, Ali, Abdelraouf, Lamess, Abdullaha, Hossam, Abubeih, Moaiad Eldin Ahmed, Nagm Eldin Abu Elnga Ahmed, Ahmed, Ahmed, Sarah Ahmed Saad, Sherif, Alaa, Ali, Alhussaini, Abdelrahman Ahmed Abdelrahman Ali, Ibrahim, Ali, Wagdi, Ali, Mohamed Ali Mohamed, Mohamed, Ashraf, Muhammad, Bassiouni, Mohamed, G El-Adawy, Mohammad, El-Sharkawi, Hussein, Elkhayat, Khaled, Elmaghraby, Shady, Elsdfy, Mohamed, Elsharkawy, Almoutaz, Eltayeb, Mohamed Esmat Mohamed, Esraa, Essam, Mahmoud, Fahd, Osama, Farouk, Rabea, Gadelkareem, Ahmed, Ghoneim, Mohammed Hamada Takrouney, Ahmed, Hamdan, Abd El-Rahman Hamed, Ahmad, Hasan, Mohamed Abdelghafor Hassanin, Islam, Hawal, Kerollos, Henes, Mohamed Omar Herdan, Helal, F Hetta, Omar, Ibrahem, Mostafa, Ibrahim, Islam, H Ibrahim, Mahmoud, Kamel, Mohamed, Khallaf, Shrouk, M Elghazaly, Abobakr, Mahfouz, Osman, Mahmoud, Wesam, Mahran, Doha, Mahrous, Abadeer, Marsis, Ayman, Mohamed, Aliae Mohamed Hussein, Amr Mohamed Sayed, Mahmoud, M Mohammed, Ahmed, Mokhtar, Fatma, A Monib, Ahmed, Nageeb, Mariam Albatoul Nageh, Mohammed, Nageh, Nehal Gamal Omar, Abdelrahman, Ragab, Abdelrahman, Ramadan, Abdallah Rashad Temerik, Aya, Sabry, Hadeer, Safwat, Omar, Salah, Ahmed Elhussiny Salah Mahmoud, Ahmed, Saleh, Mahmoud, Sallam, Ahmed, Samir, Reem, Sayad, Esraa, Sayed, Ahmed, S Sedik, Mohammed, Shahine, Antonios, Soliman, Wael, Soliman, Mohamed Gamal Taher, Randa, Wanees, Ebrahim Ahmed Yousof, Ahmed, Youssef, Omar Zein Elabedeen, Ahmed Emad Sayed Hassan, Shrouk Abdel Fattah, Ahmed, Abostate, Samar, Ali, Saad Ali Saad Salama, Mohamed, Allam, Ahmed, Alsadek, Ebrahim, Arafa, Ahmed, Barakat, Mohammed El Sherpiny, Gehad, Elbehairy, Mahmoud, Eleisawy, 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David, Walawah, Makafui, Yigah, Safia, Yussif, Nuna, Jiagge, Emmanuel, Nachelleh, Jane, Acquaye, Kwabena, Agbedinu, Fareeda, Agyei, Akosua, Agyemang-Prempeh, Kwabena, Amo-Antwi, Michael, Amoah, George, Amoah, Yaw, A Amoako, Daniel Gyawu Aning, Frank, Ankobea-Kokroe, Dominic Annor Mintah, David, Anyitey-Kokor, Adu, Appiah-Kubi, Joshua, Arthur, Vincent, Ativor, Isaac, Barnor, Yasmine, Braimah, Regina, Darko-Asante, Anthony, Davor, Mohammed Duah Issahalq, Mawutor, Dzogbefia, Tano, Emile, Papa, Fiifi-Yankson, Valerie, Gaveh, Senyo, Gudugbe, Solomon, Gyabaah, Frank Enoch Gyamfi, Adam, Gyedu, Derrick, Gyimah, Bernard, Hammond, Boakye-Yiadom, Jonathan, Yorke, Joseph, Thomas Okpoti Konney, Anna, Konney, Kwasi, Kusi, Ishmael, Kyei, Agbenya, Lovi, Nuhu, Naabo, Boateng, Nimako, Beauty, Nyadu, Obed Ofori Nyarko, Ben Blay Ofosu-Barko, Philip Peprah Oppong, Anita, Osabutey, Martha, Poku, Robert, Sagoe, Abiboye, Yifieyeh, George, Ansong, Adam, Abass, Alhassan, Abdul-Mumin, Theophilus, Adjeso, John Abanga Alatiiga, Munira, Amadu, Nathaniel, Annan, German Azahares Leal, Mohammed, Bukari, Alexis, Buunaaim, Ernest, Cheyuo, Latif Daboo Salifu, Michael, Damah, Malcolm, Dery, Edem Kojo Dzantor, Odoniel Guerra Garcia, Yabasin Iddrisu Baba, Adamu, Issaka, Abdul-Jalilu Mohammed Muntaka, James, Murphy, Yaa Nyarko Agyeman, Wisdom Opoku Amankwaa, Imoro, Osman, Samuel, Pie, Anwar Sadat Seidu, Mohammed, Sheriff, Ana Maria Simono Charadan, Abraham, Titigah, Mundashiru, Yahaya, Musah, Yakubu, Edwin Mwintiereh Ta-Ang Yenli, Ioannis, Grypiotis, Nikolaos, Kiriakopoulos, Georgios, Koliopoulos, Vasilis, Kyvelos, Georgia, Micha, Triada, Papadopoulou, Dimitrios, Balalis, Evangelos, Fradelos, Dimitrios, Korkolis, Nicholas, Alexakis, Kyveli, Angelou, Dimitrios, Haidopoulos, Anastasia, Prodromidou, Alexandros, Rodolakis, Nikolaos, Thomakos, Dimitris, Psychogios, Pantelis, Antonakis, Konstantinos, Bramis, Leonidas, Chardalias, Ioannis, Contis, Nikos, Dafnios, Dionysios, Dellaportas, Papalouka, Dimitra, 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Liolis, Elias, Ioannis, Maroulis, Francesk, Mulita, Kerasia-Maria, Plachouri, Michail, Vailas, Charalampos, Doitsidis, Eva, Filo, Ioanna, Gkalonaki, Eleni, Kogia, Konstantina, Kontopoulou, Magdalini, Mitroudi, Christina, Panteli, Ioannis, Patoulias, Olga Ioulia Semkoglou, Dimitrios, Sfoungaris, Ioannis, Valioulis, Ioannis, Astreidis, Panagiotis, Christidis, Orestis, Ioannidis, Lydia, Loutzidou, Antonis, Mantevas, Konstantinos, Paraskevopoulos, Dimitris, Tatsis, Apostolos, Athanasiadis, Themistoklis, Dagklis, Ioannis, Kalogiannidis, Georgios, Kapetanios, Apostolos, Mamopoulos, Chrysoula, Margioula-Siarkou, Stamatios, Petousis, Ioannis, Tsakiridis, Christos, Anthoulakis, Chrysanthos, Christou, Antonios, Fantakis, Eirini, Iordanidou, Christos, Kaselas, Sousana, Panagiotidou, Vasileios, Papadopoulos, Kyriakos, Papavasiliou, Athanasios, Piachas, Ioannis, Siasios, Ioannis, Spyridakis, Theodoros, Theodoridis, Andreas, Tooulias, Eleftherios, Tsiridis, Maria, Tsopozidi, María, Alemán, Estuardo, Brolo, Ana Lucia Lemus, Jennifer, Greenberg, Krisna Mishel Morales Chew, José Rodrigo Oliva, María Alejandra De León Lima, Ismar Lopez Muralles, Felipe, Solares, Gaby, Ajcip, Claudia, Anton, Jose, Cojulun, Mario-Andrés, Flores, Noriega, José, Carlos Adolfo Marroquín Paiz, Steffanía, Morales, Ramiro, Najera, Eduardo Quiñónez Lorenzana, Pablo, Rivera, Lesly, Rodas, Victor, Santos, Dianne, Sosa, Natalia, Ybarra, José David Pérez Cajti, Carlos, Régil, Walter, A Osorio, Rember Rosales Arriola, Luis-Fernando, Talé-Rosales, Danilo, Herrera, Servio Tulio Torres Rodríguez, Sergio Alejandro Villeda, Joshua, Anicetti, Andrea Michelle Lowey Medina, Javier, Ardebol, Kathia, Barillas, Francis De Leon, Salvador, Recinos, Miguel-Angel, Marroquin-Alpirez, Yessica, Yax, Sophie, Hon, Yuk Ho Liu, Alex Qinyang Liu, Shirley, Liu, Hei Tung Natalie Chiu, Chi Man Tom Chow, Victor, Hau, Ho Wai Ip, Brian, Mak, Chung Ying Mok, Dennis, Ng, Yin Yu Eva Siu, Kiu Fung Wong, Jingya Jane Pu, Yu-Xiong, Su, Kit Ying Au-Yeung, David Yuen Chung Chan, Albert, Chan, Shannon Melissa Chan, Tsz Ching Chang, Tor Wo Chiu, Wang Kei Chiu, Zhexi, He, Man Fung Ho, Kevin Ki Wai Ho, Jacky Yan Kit Ho, Janet Wui Cheung Kung, Cheuk Ho Lam, Rainbow W, H Lau, Samuel Ka Kin Ling, Hon Ting Lok, Tony Wing Chung Mak, Chi-Fai, Ng, Simon, Ng, Kelvin Kwok-Chai Ng, Calvin S, H Ng, Michael Tim Yun Ong, Teresa, Tan, Sui Fan Tang, Jeremy Yuen-Chun Teoh, Anthony, Teoh, Bess Siu Yan Tsui, George Kwok Chu Wong, Randolph, Wong, Kwok Chuen Wong, Chi Hang Yee, Zsuzsanna, Antal, Attila, Kalman, Peter, Voros, Kiarash, Bahrehmand, Timea, Echim, Zoltan, Novak, Tamás, Sztipits, Laszló Ádám Bihari, László, Hidi, Laszlo, Piros, Balazs, Rózsa, Peter, Sotonyi, Lilla, Szatai, György, Herczeg, Bálint, Pordány, Fanni, Tornyi, Kristof, Dede, Tamás, Egyed, György, Saftics, Judit, Kulcsicka-Gut, Zsófia, Sipos, Dezso, Toth, Bhavin, Patel, Hardil, Majmudar, Saptak, Mankad, Sohilkhan, Pathan, Sharathkumarkl, L, Lokesh, Sasatti, Subramanyam, Mahankali, Santhosh Kumar Sampengere Annayappa, Tulika, Agrawal, Premkumar, Anandan, Aditya, Baindur, Manjunath, Bd, Savitha, C, S Anitha, G, Sandeep, Harigond, K Tejeswini, K, Venkatesh, Kesarla, Mallikarjuna, Manangi, B Hareesh, P, Jyothi K, R Ranjan, Athish, Shetty, Santhosh Shivashankar Chikkanayakanahalli, Tanvi, Sunil, Shreya, Syamala, Kavya, Tharanath, Aditya, Atal, Niranjana, Rajagopal, S Srinath, B, Vinod, Nk, L Thirumanikandan, P, Nitu, Mishra, Sushruta, Shrivastava, Rekha, Wadhwani, Reyaz, Ahmad, Zainab Ahmad Haq, Prateek, Behera, Ritika, Dhurwe, Rehan, Haq, Vaibhav, Jain, Anuj, Jain, Sunaina, Karna, Kameshwarachari, Pushpalatha, Sumit, Raj, John Ashutosh Santoshi, Pooja, Singh, Virendra, Verma, Vaishali, Waindeskar, Moorat Singh Yadav, Zaheda, Aziz, Koyel, Chakraborty, Preetam, Chappity, Gurudip, Das, Debajyoti, Datta, Saubhagya Kumar Jena, Madhabananda, Kar, Susanta, Khuntia, Pankaj, Kumar, Ravi, Kumar, Aswathi, Kv, Abhijeet, Mishra, Swastik, Mishra, Yash, Mittal, Dillip, Muduly, 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Somil, Jaiswal, Yashpal, Jaware, Navneet, Kala, Ruchi, Karnatak, Apjit, Kaur, Vijay, Kumar, Manoj, Kumar, Ambrish, Kumar, Upander, Kumar, Amit Kumar Shrivastava, Seema, Mehrotra, Brijesh, Mishra, Anand, Mishra, Namrata, Bal Krishna Ojha, Ahmad, Ozair, Uma Shanker Pal, Amita, Pandey, Nancy, Raja, Pooja, Ramakant, Ashutosh, Roy, Rekha, Sachan, Satyanarayan, Sankhwar, Pushp, Sankhwar, Divya, Sarin, Ayushi, Shukla, Sushil, Singh, Mohit, Singh, Kul Ranjan Singh, Renu, Singh, Uma, Singh, Urmila, Singh, Vandana, Solanki, Abhinav Arun Sonkar, Chhitij, Srivastava, Parijat, Suryawanshi, Vivek, Tewarson, Rajat, Verma, Manju Lata Verma, Awdhesh, Yadav, Gyan, Chand, K M, M Vishvak Chanthar, Dileep, Hoysal, Anjali, Mishra, Nitin, Batra, Arun, Bhatti, Rupali, Chopra, Shakina, David, Tapasya, Dhar, Uma Kant Dutt, Rohini, Dutta, Sumir, Gandhi, Parvez David Haque, B Paul Sudhakar John, Sreejith Kannummal Veetil, Gurvinder, Kaur, Navneet, Kumar, Anil, Luther, Anupam, Mahajan, Amit, Mahajan, Kavita, Mandrelle, Shefin, Mathews, Vishal, Michael, Partho, Mukherjee, Pinki, Pargal, Rajesh, Paul, Anupam, Phillip, Rachel, Phillips, Abhishek, Samuel, Noel, Singh, Inderjot, Singh, Abhijit, Singh, Sarvpreet Singh Grewal, Anusha, Singhania, Selven, Thirumalai, Ashish, Varghese, Joshua, Wesley, Josy, Thomas, Pradeep, Zechariah, Mariam Anjum Ifthikar, Rohan Thomas Mathew, Rohan, Shetty, M Vijayakumar Vijaykumar, Bm Zeeshan Hameed, Sufyan, Ibrahim, Gayathri, Jyothish, Sunil, Krishna, Stanley, Mathew, Arjun Suresh Kumar, Narinder, Singh, Piyush Kumar Sinha, Rachith, Sridhar, Sunny, Agarwal, Srikant, Balasubramaniam, Swati, Chhatrapati, Charulata, Deshpande, Ashni, Dharia, Sarita, Fernandes, Suraj, Gandhi, Mangesh, Gore, Abhilash, Jayakumar, Rameshwar, Mhamane, Anand, Nirgude, Sandesh, Parab, Manish, Patil, Amit, Peswani, Anjana, Sahu, Sarika, Samel, Fagun, Shah, Dipti, Haridas, Vijay, Shetty, Bejoy, Abraham, Varun, Agarwal, Quazi, Ahmad, Ashishkumar, Asari, Mohammad Ismail Attar, Nagaraja Sekhar Ayyalasomayajula, Sutej, Bachawat, Shivani, Bachhav, Vivek, Badhe, Sanjiv, Badhwar, Shubhabrata, Banerjee, Vikas, Basa, Vipul, Bothara, Somnath, Chattopadhyay, Sohin, Chaudhari, Rahul, Chavan, Priyank, Chawathe, Shailja, Dadhich, Anuj, Dalal, Avinash, Date, Mandar, Deshpande, Preetham, Dev, Niren, Dongre, Anirudha, Doshi, Maya, Gade, Shreyash, Gajjar, Mohan, Gawande, Amol, Ghalme, Bhavisha, Ghugare, Ishita, Gupta, Manoj, Jain, Divakar, Jain, Saumya Sekhar Jenasamant, Vaishali, Joshi, Vinay, Joshi, Neha, Kalwadia, Nandkishore, Kapadia, Hari Bipin Radhakrishnan Kattana, Tirathram, Kaushik, Akshat, Kayal, Shama, Kovale, Yogesh, Kulkarni, Abhaya, Kumar, Kranthi, Kumar, Kashmira, Kumawat, Vidyadhar, Lad, Namrata, Maskara, Rajesh, Mistry, Smruti Ranjan Mohanty, Kanchan, Motwani, Manoj, Mulchandani, Mandar, Nadkarni, Sanjay, Pandey, Mrunal, Parab, Dinshaw, Pardiwala, Amrita, Patkar, Neha, Pawar, Abhijit, Pawar, Abhinav, Pednekar, Vishal, Peshattiwar, Harshwardhan, Pokharkar, Ojas, Potdar, 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Reddy Voppuru, Anushri, Soni, Gira, Soni, Junaid, Alam, Dinesh, Bagaria, Minu, Bajpai, Akshay Kumar Bisoi, Arvind, Chaturvedi, Sandeep, Chauhan, Narendra, Choudhary, Rajendra Singh Chouhan, Sunil, Chumber, Kamran, Farooque, Vasubabu, Gudala, Amit, Gupta, Mohit, Joshi, Apoorva, Kabra, Shashank Sharad Kale, Abhinav, Kumar, Subodh, Kumar, Dhruv, Mahajan, Rajesh, Malhotra, P Ramesh Menon, Biplap, Misra, Samarth, Mittal, Rajinder, Parshad, Pratyusha, Priyadarshini, Sushma, Sagar, Pradeep Brijkishor Sharma, Vijay, Sharma, Vivek, Trikha, Mayank, Tyagi, Kuldeep, Bansal, Kalyan, Varma, Anurag, Mishra, Rajdeep, Singh, Rohit, Bhardwaj, Abhishek, Mittal, Sabarirajan, Ponnusamy, Gyan Ranjan Singh, Isha, Tuli, Pramod, Bhor, Sanjay, Dhar, Sachin, Kale, Manisha, Aggarwal, Himani, Gupta, Gurleen, Kaur, Ajinkya, Deshpande, Anup, Gadekar, Tanmay, Jaysingani, Taufiq, Panjwani, Rakesh, Patil, Narendra, Vaidya, Sunil Kumar Vishwakarma, Utkarsha, Wayal, Debnarayan, Dutta, Rajnish, Arora, Mohit, Dhingra, Pankaj Kumar Garg, Farhanul, Huda, Pankaj, Kandwal, Ravi, Kant, Rajkumar Kottayasamy Seenivasagam, Navin, Kumar, Shashank, Kumar, Lokavarapu Manoj Joshua, Radheyshyam, Mittal, Dharma Ram Poonia, Deepak, Rajput, Saravanan, Sadhasivam, Sudhir, Singh, Vivek, Singh, Kshitija, Chandanwale, Melissa, Philip, Vaibhav, Thorat, Yousuf, Choudhury, Devishmita, Das, Mautushi, Das, Subhadra, Goala, Farhana Yasmin Laskar, Parbin, Laskar, Kapil, Malik, Poulome, Mukherjee, Abhishek, Sarkar, S Thoibisana Singha, M Nongalei Singha, Damayanti, Singha, Gowtham, Srungavarapu, Ritesh, Tapkire, Siempui, Tling, Syed Muzamil Ishaq Andrabi, Gowhar Aziz Bhat, Nisar, Chowdri, Robindera, Kour, Fazl, Parray, Raahil, Shah, Zamir Ahmad Shah, Rauf, Wani, Soujanya, Adamala, Ravikanth, Gowder, Siddhi, Hegde, S Mashitha, M, Shreya, Sreeram, Sushil, Ankadavar, Darshan, Bafna, Bharat, Dhanani, Nikhil, Ingle, Piyush, Jadhao, Sinu, Joseph, Swapnil, Kapote, Shirin, Karkada, Parag, Lad, Rajan, Lohia, Suyog, Madje, Venkateshwaran, Narasiman, Meer, Chisthi, Gejoe, George, Harihara, Jothi, Dilber, Pareed, Godwin David, C Mathew, Livingston, Abel, Mansi, Agrawal, Rabindranath, B, Manish, Baldia, Ravi Kishore Barla, Manisha, Beck, Santosh, Benjamin, Jeremy, Bliss, Lisa, Cherian, Sreekar, Devarakonda, Geley, Ete, Arun Jacob Philip George, Amish, Gohil, Deeptiman, James, Mark Ranjan Jesudason, Lallu, Joseph, Treasa, Joseph, Kathir, Joyson, Gomathi, Karnan, Albert, Kota, Pushplata, Kumari, Anitha, Loganathan, Vasanth Mark Samuel, John, Mathew, Senthil, K Nathan, Joby Elizabeth Ninan, Ajay, Philip, R Priyadarshini Priyadarshini, Suganya, S, Habie, Samuel, Gilbert, Samuel, Daniel, Selvaraj, Srujan, Sharma, Suraj, Surendran, D Hariharan, T, Santhosh Kumar Thangaraj, Vinotha, Thomas, Varghese, Thomas, John, K Thomas, S Harish, Y, Manobhiram, Boggavarapu, Murali Krishna Voonna, Marilaeta Cindryani Lolobali, Christopher, Ryalino, Tjokorda Gde Agung Senapathi, Mahadewa, Tjokorda, I Made Gede Widnyana, Dita, Aditianingsih, Aino, Auerkari, Susilo, Chandra, Fachreza Aryo Damara, Mohammad Adya Firmansha Dilmy, Achmad Kemal Harzif, Sidharta Kusuma Manggala, Dedy, Pratama, Affan, Priyambodo, Andi Ade Ramlan, Ratna Farida Soenarto, Adhrie, Sugiarto, Ilham Utama Surya, Tamara, Tango, Aida Rosita Tantri, Raihanita, Zahra, Dedy, Fachrian, Andi, Hasyim, Ade, Susanti, Teddy, Saputra, Erwin, Syarifuddin, Andi Asadul Islam, Hendra, Pajan, Ahmad Hannan Amrullah, Khoirul, Anam, Thirza, Hadipranata, Julius Albert Sugianto, Aidyl, Fitrisyah, Mayang Indah Lestari, Nur Rachmat Lubis, Rizal, Zainal, Zulkifli, Zulkifli, Erick Gamaliel Amba, Warren, Lie, Andika Adiputra Thehumury, Tedy, Apriawan, Yunus Kuntawi Aji, Roidah Taqiyya Zahra Wathoni, Sumadi Lukman Anwar, Teguh, Aryandono, Wirsma Arif Harahap, Juni, Kurniawaty, Djayanti, Sari, Artanto, Wahyono, Yunita, Widyastuti, Akhmad Yun Jufan, Parisa, Arjmand, Mohammad, Etezadpour, Babak, Ganjeifar, Masoumeh, Hosseinpoor, Hassan, Mehrad-Majd, Mohsen, Rajati, Reza, Assadi, Ehsan, Noori, Parisa, Rajaei, Samira, Hajisadeghi, Mohammad, Mehdizadeh, Mina, Soltani, Narges, Alizadeh, Gholamreza Azarnia Azar Nia, Hamid, Heidari, Seyedmohamad Hosseini Zavareh Hosseini Zavareh, Ali Moazami Pour Moazami Pour, Farokh, Savaddar, Mostafa, Vahedian, Hoora, Amouzegar, Mojdeh, Bahadorzadeh, Seyedeh Homa Hemmasi, Ahmad, Kachoie, Ali Karimi Karimi, Sepideh, Miraj, Monireh, Mirzaie, Hossein Mokarami Mokarami, Amrollah, Salimi, Roghayyeh, Ahangari, Ali, Ahmadvand, Ali, Bashiri, Morteza, Borhani, Mohammad, Haidari, Mohammad Taghi Imani Khosroshahi, Shahrokh Jahan Bini, Mohsen, Koosha, Mohammad Kazem Moslemi, Ali, Naghibi, Shahrzad, Tehrani, Zahra, Yazdi, Seyyed Hassan Adeli, Majid, Alborzi, Hamed, Bagheri, Mohsen, Eshraghi, Hassan Fatemi Manesh, Mohammad, Ghomeisi, Seyed Fakhreddin Hejazi, Saeed, Madani, Nima Najafian Motahaver, Samieh, Norouzi, Mahdi Pezeshki Modarres, Ali, Shafiee, Jamshid, Vafaeimanesh, Hossein, Yusefi, Elahe, Hosseini, Pourya, Medhati, 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Marshall, Darya, Musa, Zeeshan, Ahmad, Emmet, Andrews, Bruno Chan Chin, Mark, Corrigan, Amy Edwards Murphy, Niamh, Foley, Padraig, Gardiner, Daniel, Hechtl, Michelle, Hsiao, Mohd Yasser Kayyal, Shane, Killeen, Maria, Lyons, Cathy, Burke, Matt, Hewitt, Marwa, Mohamed, Syeda Farah Nazir, Mei Yee Ng, Nor Azlia Abdul Wahab, Cathy, Monteith, Oladayo, Oduola, Lylas, Aljohmani, Timothy, Nugent, Paula, Corr, Lauren, Crone, Johnathon, Harris, Arnold, Hill, David, Kearney, Robert Anthony Keenan, Deirdre, Nolan, James, Ryan, Mark Philip Hehir, Carmen, Regan, Michael, Geary, Fergal, Malone, Claire, Mccarthy, Donal, B O'Connor, Shane, Considine, Emma, Donohoe, Caroline, Herron, John, Larkin, Thomas Hugh Lynch, Barry, Maguire, Rustom, Manecksha, Andrea Mc Carthy, Katharina, Nagassima, Erica, O'Sullivan, Pat, Rohan, Ryan, Roopnarinesingh, Salloum, Salloum, Thomas, Aherne, Mary, Barry, Gareth John Bowen, Ellen, Boyle, Joseph, Dowdall, Ann, Hanly, Ahmed, Hassanin, Helen, Heneghan, Conor, Hurson, Orlaith, Kelly, Rory, Kennelly, Aoife, Kiernan, Sean, T Martin, Nawar, Masarani, Damian, Mccartan, Enda, W McDermott, Ben, Murphy, Kin Cheung Ng, Nwabundo, Njeze, Aine, O'Neill, Ruth, S Prichard, Ned, Quirke, Ian Sean Reynolds, Des, Winter, Rowan, Casey, Mutaz, Elamin, Amy, Gillis, Dara, Kavanagh, Michael, Kelly, Áine, Mcnamee, Paul, Neary, Patrick, Owens, Akshaya, Ravi, Paul, Ridgway, Paul, Carroll, Chris, Collins, Amenah, Dhannoon, Amy, Fowler, Aisling, Hogan, Aoife, Lowery, Peter, Mcanena, Charlie, Timon, Stewart, Walsh, Wisam, Al-Ramli, Imran, Azeem, Muhammad Usaama Bahadoor, Zsolt, Bodnar, Hassan, Elmusharaf, Faisal Saeed Hassan, Adam, Hingum, Huilun, Huan, Seamus, Jennings, Mohamed Hamed Khalid, Mariya, Kuteva, Syed Nadeem Mujtaba, Shanell, Peeriyah, Hina, Rehman, Muhammad Assam Sarwar, Tony, Shaju, Ian, Stephens, Michael, Sugrue, Joseph, Thomas, Manvydas, Varzgalis, Saqib, Zeeshan, Alisha, Jaffer, Larne, Jones-Whiting, Colin, Peirce, Sean, Johnston, Seantee, Lim, Alwaleed, 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Massimiliano, Gennaro, Lorenzo, Giannini, Marcello, Guaglio, Marco, Guzzo, Andrea, Leva, Alberto, Macchi, Elena, Manzo, Fabio, Martinelli, Ilaria, Mattavelli, Vincenzo Maria Mazzaferro, Francesco, Raspagliesi, Luigi, Rolli, Laura, Sala, Roberto, Salvioni, Mario, Santinami, Silvia, Segattini, Luca, Sorrentino, Carlotta, Zaborra, Alexandre, Anesi, Gianmaria Casoni Pattacini, Mattia Di Bartolomeo, Francesca, Pecchini, Arrigo, Pellacani, Micaela, Piccoli, Federico, Fusini, Andrea, Gattolin, Marco, Migliore, Roberto, Rimonda, Diego, Sasia, Elisabetta, Travaglio, Federica, Brunetti, Marco, Cereda, Marco, Ceresoli, Luca, Cigagna, Cristina, Dell'Oro, Alessandro, Fogliati, Robert, Fruscio, Tommaso, Grassi, Maini Marzia Isabella, Luca Carlo Nespoli, Massimo, Oldani, Sara, Ornaghi, Nicolò, Tamini, Carmine, Antropoli, Antonio, Castaldi, Alessio, Palumbo, Gaia, Altieri, Umberto, Bracale, Francesco, Corcione, Marcello De Luca, Giovanni Domenico De Palma, Maria Michela Di Nuzzo, Ruggero, Lionetti, 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Matteo, Filardo, Marika Sharmayne Milani, Franco, Ragni, Andrea de Manzoni Garberini, Edoardo, Baldini, Diana, Carpaneto, Michele, Cauteruccio, Corrado, Ciatti, Luigi, Conti, Serena, Gattoni, Pietro, Maniscalco, Gerardo, Palmieri, Calogero Puma Pagliarello, Giuseppe, Caristo, Raffaele, Galleano, Michele, Malerba, Marcello, Calabrò, Francesca, Farnesi, Elia Giuseppe Lunghi, Andrea, Muratore, Nicoletta Sveva Pipitone Federico, Joel Reuben Abel, Lorenzo, Andreani, Darienzo, Antonio, Vittorio, Aprile, Riccardo, Balestri, Giacomo, Benettini, Stefano, Berrettini, Luca, Bruschini, Massimo, Chiarugi, Federico, Coccolini, Simone, Colangeli, Camilla, Cremonini, Lodovica Cristofani Mencacci, Iacopo, Dallan, Silvia De Santi, Gregorio Di Franco, Lorena Di Girolami, Giacomo, Fiacchini, Niccolò, Furbetta, Stylianos, Korasidis, Marco, Lucchi, Andrea, Morandi, Luca, Morelli, Serena, Musetti, Carlo Maria Neri, Matteo, Palmeri, Miriana, Picariello, Francesco, Porcelli, Marco, Puccini, Nicolo, Roffi, Erica, Statuti, Dario, Tartaglia, Alberto, Tonelli, Matteo, Vianini, Gianluca, Baronio, Mauro, Montuori, Enrico, Pinotti, Stefano Maria Massimiliano Basso, Federica, Maffeis, Paolo, Ubiali, Lorenzo, Aguzzoli, Saverio, Coiro, Giuseppe, Falco, Vincenzo Dario Mandato, Valentina, Mastrofilippo, Simone, Mele, Caterina, Baldi, Carlo, Corbellini, Gianluca Matteo Sampietro, Massimo, Dugo, Mauro, Garino, Chiara, Marafante, Antonio, Masciandaro, Elisabetta, Moggia, Alessandra, Murgese, Felice Eugenio Agro, Gabriella Teresa Capolupo, Filippo, Carannante, Marco, Caricato, Vincenzo, Denaro, Erica, Mazzotta, Rocco, Papalia, Giuseppe, Pascarella, Alessandro, Strumia, Biagio, Zampogna, Matteo, Cinquepalmi, Marco, Colasanti, Celeste Del Basso, Federica, Falaschi, Nicola, Guglielmo, Roberto Luca Meniconi, Alessandra, Pecoraro, Sofia, Usai, Giacomo, Crescentini, Antonella, Larcinese, Emanuele, Picone, Giovanni, Sinibaldi, Annamaria, Agnes, Salvatore, Agnes, Sergio, Alfieri, Francesco, Belia, Valentina, Bianchi, Giuseppe, Bianco, Alberto, Biondi, Paola, Campennì, Valerio, Cozza, Sabatino, D'Archi, Domenico, D'Ugo, Veronica De Simone, Marta Di Grezia, Sofia Di Lorenzo, Federica, Ferracci, Valeria, Fico, Gianluca, Franceschini, Pietro, Fransvea, Giulio, Gasparini, Luca, Gordini, Antonio La Greca, Francesco, Litta, Celestino Pio Lombardi, Angelo Alessandro Marra, Angelo, Parello, Marco Maria Pascale, Romeo, Patini, Gilda, Pepe, Roberto, Persiani, Caterina, Puccioni, Carlo, Ratto, Fausto, Rosa, Gianmarco, Saponaro, Lorenzo, Scardina, Tedesco, Silvia, Giuseppe, Tropeano, Maria, Benevolo, Daniele, Bugada, Flaminia, Campo, Maria Gabriella Dona, Valentina, Manciocco, Paolo, Marchesi, Riccardo, Mastroianni, Francesco, Mazzola, Silvia, Moretto, Raul, Pellini, Gerardo, Petruzzi, Barbara, Pichi, Giuseppe, Simone, Gabriele, Tuderti, Jacopo, Zocchi, Luigi Marino Cosentino, Andrea, Sagnotta, Roberta, Angelico, Vittoria, Bellato, Michela, Campanelli, Marzia, Franceschilli, Michele, Grande, Giorgio, Lisi, Tommaso Maria Manzia, Lorenzo, Petagna, Bruno, Sensi, Giuseppe, Sica, Leandro, Siragusa, Giuseppe, Tisone, Marco, Assenza, Barbara, Binda, Massimo, Biondi, Gioia, Brachini, Placido, Bruzzaniti, Mauro, Casagrande, Flavia, Ciccarone, Pierfranco Maria Cicerchia, Bruno, Cirillo, Daniele, Crocetti, Giancarlo, D'Ambrosio, Vito, D'Andrea, Francesca De Felice, Giorgio De Toma, Carlo Della Rocca, Giulia, Duranti, Pietro, Familiari, Enrico, Fiori, Giovanni Battista Fonsi, Alessandro, Frati, Stefania La Rocca, Filippo La Torre, Pierfrancesco, Lapolla, Giovanni, Marruzzo, Simona, Meneghini, Andrea, Mingoli, Andrea, Picchetto, Antonella, Polimeni, Diego, Ribuffo, Maurizio, Salvati, Antonio, Santoro, Paolo, Sapienza, Luigi, Simonelli, Valentino, Valentini, Martina, Zambon, Giuseppa, Zancana, Emma, Zuppi, Simone, D'Annunzio, Cosimo De Nunzio, Silvia, Fiorelli, Mohsen, Ibrahim, Chiara, Loffredo, Domenico, Massullo, Cecilia, Menna, Rocco, Monica, Massimiliano, Pelli, Erino Angelo Rendina, Leonardo, Teodonio, Andrea, Tubaro, Giulio, Argenio, Giulio, Accarino, Accarino, Giancarlo, Antonio Nicola Giordano, Luca, Cardinali, Elisa, Sebastiani, Grazia, Travaglini, Erika, Andreatta, Emanuele Luigi Giuseppe Asti, Daniele, Bernardi, Luigi, Bonavina, Caterina, Froiio, Andrea, Lovece, Chiara, Copelli, Alfonso, Manfuso, Pasquale Di Maio, Marco, Giudice, Oreste, Iocca, Rosario, Cennamo, Tommaso, Cornali, Francesco Di Marzo, Cristian, Altana, Francesco, Bussu, Giampiero, Capobianco, Anna Giacomina Carta, Sandro, Ciccarello, Maria Laura Cossu, Pietrina, Cottu, Giacomo De Riu, Salvatore, Dessole, Francesco, Dessole, Salvatora, Dettori, Carlo, Doria, Alessandro, Fancellu, Claudio, F Feo, Giorgio Carlo Ginesu, Giuliana, Giuliani, Marco Giuseppe Iannuccelli, Massimo, Madonia, Roberto, Mancino, Olindo, Massarelli, Gianfranco, Meloni, Fabio, Milia, Andrea, Mulliri, Teresa, Perra, Marco, Petrillo, Antonio, Piras, Franco, Piredda, Francesco, Pisanu, Alberto, Porcu, Davide, Rizzo, Angelino, Sanna, Antonio Mario Scanu, Fabrizio, Scognamillo, Damiano, Soma, Anna Rita Tanca, Alessandro, Tedde, Matteo, Tedde, Luigi Angelo Vaira, Andrea Bartalini Cinughi de Pazzi, Osvaldo Carpineto Samorani, Daniele, Fusario, Luigi, Marano, Gaia, Oldrà, Anna Lisa Pesce, Stefania Angela Piccioni, Luca, Resca, Vincenzo, Ricchiuti, Franco, Roviello, Vinno, Savelli, Alberto, Abrate, Pierpaolo, Bordoni, Lorenzo, Bosio, Guglielmo, Clarizia, Francesco, Fleres, Marco, Franzini, Antonio, Fratto, Pierluigi, Giumelli, Alessandro, Grechi, Alessandro, Longhini, Fabrizio, Lorusso, Elisa, Scarnecchia, Federica, Scolari, Alessandro, Spolini, Vincenzo, Maiuri, Matteo, Papandrea, Arturo, Roncone, Lorenzo, Conti, Andrea, Rizzi, Marco, Rovagnati, Alberto, Brolese, Tommaso, Cai, Francesco Antonio Ciarleglio, Francesca, Dalprà, Gianni, Malossini, Liliana, Mereu, Irene, Tamanini, Saverio, Tateo, Giovanni, Viel, Enrico, Battistella, Paolo Boscolo Rizzo, Cristoforo, Fabbris, Marco, Massani, Giacomo, Spinato, Roberta, Tutino, Ugo, Grossi, Alessandro, Iacomino, Simone, Novello, Maurizio, Romano, Serena, Rossi, Giulio, Santoro, Giacomo, Zanus, Sokol, Trungu, Giada, Aizza, Gabriele, Bellio, Selene, Bogoni, Marina, Bortul, Biagio, Casagranda, Sara, Cortinovis, Nicolò de Manzini, Davide, Drigo, Paola, Germani, Manuela, Mastronardi, Lucia, Paiano, Silvia, Palmisano, Pier Luigi Filosso, Francesco, Guerrera, Matteo, Marro, Mauro, Rinaldi, Enrico, Ruffini, Stefano, Salizzoni, Laura, Bardelli, Mattia, Berselli, Giacomo, Borroni, Eugenio, Cocozza, Matteo, Desio, Bottazzoli, Elisa, Giuseppe, Ietto, Valentina, Iori, Domenico, Iovino, Lorenzo, Livraghi, Valentina, Marchionini, Stefano, Megna, Emma Amal Nahal, Mara, Palumbo, Valeria, Quintodei, Alessandra, Zullo, Lucrezia, D'Alimonte, Giovanni, Pirozzolo, Chiara, Vignotto, Tommaso, Campagnaro, Andrea, Caravati, Simone, Conci, Carlotta De Cristofaro, Gabriele, Gecchele, Tommaso, Giuliani, Jacopo, Graziosi, Alfredo, Guglielmi, Salvatore, Paiella, Corrado, 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Rakotoarisoa, Maharo, Ramifehiarivo, Solonirina Harinarindra Ranaivoson, Hajamihamina Marina Parfaite Randriantsoa, Narindra Njarasoa Mihaja Razafimanjato, Jeannie Ba Razafindrahita, Solofoarimanana, Solofoarimanana, Guillaume Odilon Tsiambanizafy, Rakotonaivo Mamisoa Judicaël, Corinne Eulalie Solo, Tojomamy Herinjaka Ralaizafindraibe, Fanonjomahasoa Safiry Andofenohasina, Hanta, Rasataharifetra, Vanona Barijaona Razafindraibe, Angelin Sablon Herinirina, Andre, Das, Thanga, Ganapathy, Yohesuwary, Gunarasa, Kalyani, Mariapan, Maathichsudhaar, Muniandy, Mohd Firdauss Osman, Mohd Azem Fathi Mohammad Azmi, Jien Yen Soh, Wan Zainira Wan Zain, Andee Dzulkarnaen Zakaria, Zaidi, Zakaria, Kheng Hooi Chan, Firdaus, Hayati, Syamim, Johan, Jin Jiun Mah, Ratha Krishnan Sriram, Sentilnathan, Subramaniam, Nur Shahirah Binti Muhammad Shahimi, Khairul Hazim Hamdan, Mohd Razali Ibrahim, Guhan, Muthkumaran, Ju Ann Tan, Mohana Raj Thanapal, Dayang Anita Abdul Aziz, Mae-Lynn, Bastion, Mohd Hairul Nizam Harun, Farrah-Hani, Imran, Norshamsiah Md Din, Ayesha Mohd Zain, Mushawiahti, Mustapha, Syed, Nabil, Ainal Adlin Naffi, Abd Jabar Nazimi, Roszalina, Ramli, Bee Hong Soon, Pavin, Bal, Joo Qing Cheng, Mohd Rusdi Draman, Ahmad Nazran Fadzli, Sakina, Ghauth, Weipin, Hung, Suniza, Jamaris, Peng Soon Koh, Sivakumar, Krishnasamy, Yeong Sing Lee, Yew Toong Liew, Jeffery Zk Lim, Raymond Chung Siang Lim, Hiong Chin Lim, Siti Farhan Moh Pauzi, Shireen Anne Nah, Ashvin Krishna Nair, Doris Sin Wen Ng, Yuki Julius Ng We Yong, Kamarajan, Ramayah, Rahmah, Saaid, Anand, Sanmugam, Mee Hoong See, Kanesh Kumaran Seevalingam, Neha, Sethi, Srihari, Singaravel, Syeda Nureena Syed Jafer Hussain Zaidi, Chu Yik Tang, Li Ying Teoh, Kian Boon Wong, Ruben, Xavier, Ahmad Shuib Yahaya, Norhafiza, Ab, Rahman, Islah Munjih Ab, Rashid, Mohd Fahmi Abd Aziz, Mohd Norhisham Azmi Abdul Rahman, Nasser Muhammad Amjad, Shahidah Che Alhadi, Faisal, Elagili, Mohd Nazli Kamarulzaman, Azmi Md Nor, Ahmad Faidzal Othman, Mohd Yusof Sainal, Mat Salleh Sarif, Richelle, Chua, Aini Fahriza Ibrahim, Abdul Rauf Bin Ahmad, Yii Ling Lau, Ka Yee Liew, Kandasami, Palayan, Hui Yu Wong, Jasiah, Zakaria, Nor Azimah Abd Aziz, Norazila Abdul Rahim, Noorneza Abdul Rahman, Bahiyah, Abdullah, Mohamed Faizal Bin Sikkandar, Fatin, Firman, Nik Mohd Hazleigh, Intan Kartika Kamarudin, Shahril, Khalid, Mohd Fairudz Mohd Miswan, Akmal Zulayla Mohd Zahid, Norasyikin, Mustafa, Kadhim, Obaid, Mohd Yusoff Bin Yahaya Yahaya, Ahmad Ramzi Yusoff, Predrag, Andrejevic, Jeremy Borg Myatt, Svetlana, Brincat, Clifford, Caruana, Kurt Lee Chircop, Francesca, Chircop, Daniel Mario Chircop, Charles, Cini, Viktoria, Czok, Melanie, Farrugia, Gabriella, Grima, Fatimah Mj Hassan Almukhariq, Esther, Muscat, Darryl, Pisani, Mohsin Hassan Khan Roshan, Nicholas, Schembri, Mohamed, Shoukry, Neville, Spiteri, Gilbert, Tanti, Ziad Aboharp Hasan, Alberto Bazan Soto, Cedillo Rodrìguez Jonathan Rubén, Gustavo Esteban Lugo Zamudio, David Gerardo Miranda Gómez, José Alfredo Pérez Meave, Victor Pinto Angulo, Antonio Rojas Aguilar, Erik Efrain Sosa Duran, Alejandro Vàzquez Perez, Diego, Arroyo, Jose, Corona-Cruz, Hector, Martinez-Said, Heriberto, Medina-Franco, Manuel, Mendez, Teresa Moreno, Y Suárez Ma, Dolores Orta Díaz, Martha Patricia Pérez de León Vázquez, Angélica Azucena Soto Carvajal, Fidel Soto Hernández, Juan Ignacio Stenner, Adriana Valenzuela López, Mauricio Rene Hernandez, Rey Jesus Romero, Aldo Bernal Hernandez, Ana Olivia Cortes-Flores, Carlos Jose Zuloaga Fernandez Del Valle, Carlos Andres Colunga Tinajero, Jaime, Orozco-Perez, Laura Gabriela Peña Balboa, Guillermo, Yanowsky-Reyes, Víctor Hugo Alcalá Torres, Francisco José Barbosa Camacho, Irma Valeria Brancaccio Perez, Miguel Angel Calderon-Llamas, Aldo Camacho Gomez, Edgar-Joaquin, Cortes-Torres, Esteban, Cueva-Martinez, Oscar Durán Anguiano, Isaac Esparza Estrada, Roberto, Fierro-Rizo, Paola Flores Becerril, Clotilde Fuentes Orozco, Miguel García Castillo, Alejandro Gonzalez Ojeda, Ana Sofia Gonzalez Rubio, Erick Alonso González-García de Rojas, Luis Humberto Govea-Camacho, Jose Aldo Guzman Barba, Juan Carlos Ibarrola Peña, César Íñiguez Martínez, Francisco Javier Llamas-Macias, Ruben Eduardo Morán Galaviz, Cesar, Nuño-Escobar, Oscar-Everardo, Olvera-Flores, Jaqueline, Osuna-Rubio, Jose Victor Pérez-Navarro, Rodrigo, Prieto-Aldape, Luis Ricardo Ramirez Gonzalez, Marco Vinicio Ramírez Sánchez, Emilio, Reyes, Olaya Moramay Romero-Limón, Carlos Beas Ruiz-Velasco, José Antonio Sánchez Martínez, Guillermo, Sanchez-Villaseñor, Ismael, Sedano-Portillo, Gabriela Ambriz Gonzalez, Pedro Berrones Moreno Berrones Moreno, Ana Beatriz Calderon Alvarado, José de Jesús Cárdenas Barón, Araceli, Hernández, Francisco Javier León Frutos, Edgard Efren Lozada Hernandez, Eduardo Morales Valencia, Karla Daniela Pérez, Francina, Bolanos-Morales, Julio, Herrera-Zamora, Patricio, Santillan-Doherty, David Omar Arriaga Zavala, Salvador Francisco Campos Campos, Lizette, Carmona, 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Alexander, Borgstein, Suzanne, Gisbertz, Sarah, Mikdad, Mark van Berge Henegouwen, Roel, Bakx, Marc, Besselink, Daniel Hl Lemmers, Anne-Jasmin, Roelofs, Paul van Amstel, Claire van Helsdingen, Ludi, Smeele, Niels, Harlaar, Frederik, Jonker, Sjirk van der Burg, Justin, Y van Oostendorp, Saranda, Ombashi, Tim van der Voort, Martijn van Geldorp, Lisanne, Posma-Bouman, Hans Donald de Boer, Annette, Olieman, Henriette, Smid-Nanninga, Jean-Paul P, M De Vries, Rianne, Hogenbirk, Tyche, Derksen, Josephine, Franken, Steven, Oosterling, Peter, Nolte, Jelle van der List, Ian, Alwayn, Okker, Bijlstra, Andries, Braat, Ruth, Bulder, Michèle de Kok, Robin, Faber, Ben, Goudsmit, Jaap, Hamming, Sven, Mieog, Alexander, Vahrmeijer, Fenna E, M van de Leemkolk, Joost van der Vorst, Jan van Schaik, Merel, Verhagen, Kim, Albers, Larsa, Gawria, Harry Van Goor, Michiel, Warle, Tessa, M van Ginhoven, Charlotte, Viëtor, Evert-Jan, Boerma, Lara, Lallitsch, Donald, Schweitzer, Wouter, Leclercq, Julie, Sijmons, 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Asensio, Luis Asensio Gomez, Diego, Carrion, Nuria, Chavarrias, Alvaro de Arriba, Jose Antonio Gazo Martínez Gazo, Alberto Gegúndez Simón, Juan Gómez Rivas, Natalia Gonzalez Alcolea, Carolina, Gonzalez-Gomez, Sara Gortázar de Las Casas, María Alexandra Heras Garceau, Alicia Hernández Gutierrez, Luis, Lassaletta, Fuad Samir Lopez Fernández, Marta, Mancheño, Blanca, Mateos-Serrano, Isabel Pascual Miguelañez, Maria Fernanda Pedrero Escalas, Julio, Peñarrocha, Yolanda, Perez, Maria Isabel Prieto-Nieto, Teresa Rivera Schmitz, Laura, Rodrigáñez, Ines, Rubio-Perez, Isabel Sanchez Cuadrado, José Ignacio Sánchez Méndez, Jorge Fernando Tone, Carlos Toribio Vazquez, Aitor, Urbieta, Diego Córdova García, Francisca Garcia-Moreno Nisa, Laura, Jiménez, Inmaculada, Lasa, Belen, Matías-García, Fernando, Mendoza-Moreno, Marina Pérez González, Ana Sánchez Gollarte, Alejandro Sanchez Pellejero, Cristina Vera Mansilla, Rafael, Barberá, Lourdes, Montes-Jovellar, Sara Fra Fernández, Nicolas Moreno Mata, Barbara, Algar-Yañez, Gutiérrez, Bérénice, Olga De La Varga-Martínez, Paula, Fernandez-Valdes-Bango, Sandra Maria Gadin-Lopez, José María Martínez-Gómiz, Elena, Nieto-Moreno, Ana, Nieto-Moreno, Montserrat Ocampos Hernandez, Maria Laura Pelegrina-Lopez, Alicia Ruiz Escobar, Elena, Sáez-Ruiz, Beatriz, Vazquez-Rivero, Antonio, Lara, Belén Vielva Del Campo, Fernando Alcaide Matas, Simbad, Costas-Ochoa, José María García Pérez, Elizabeth, Marmol, Paula Troncoso Pereira, Maria Del Pilar Concejo Cutoli, Juan Ramón Gómez López, Juan Carlos Martín Del Olmo, Paloma Guillamot Ruano, Javier Páramo Zunzunegui, Antonio Albarracín Marín Blázquez, Alfonso, Aliaga-Sanchez, Marta María Arroyo Domingo, Miriam Artés Artés, Ana Isabel Avellaneda Camarena, Aida, Blaya, Emny Rochell Bobadilla Romero, Pedro Vicente Fernández-Fernández, Lorena Galindo Iñiguez, Víctor Javier García Porcel, Clara Giménez Francés, Antonio Javier Gomez Poveda, Rebeca Gonzalez Celdran, Francisco Miguel González Valverde, Laura Guillamon Vivancos, Elena, Gurrea-Almela, Alejandra Jara Maquilón, Jose David Jimenez Parra, Abd Al Aziz Lanagrán Torres, Raquel Lax Perez, Carmen Maria Lopez Lopez, Francisco, Machado, Alfonso Marco Garrido, Florencio Manuel Marin Martinez, Victoria Martínez Muñoz, Esther, Medina, Olimpia, Molina, José Manuel Muñoz Camarena, Julian, Onate, Pedro Antonio Parra Baños, Emilio Peña Ros, Enrique, Rubio, Marina Sánchez Robles, Carlos Sanchez Rodriguez, María Valero Soriano, María Teresa Yepes García, Felipe, Alconchel, Andrés Balaguer Román, Valentín, Cayuela, Ana, Conesa, Ana Delegido García, Pedro José Gil Vázquez, Paula Gómez Valles, Francisco, Gómez-Bosch, Vicente, J León-Muñoz, Francisco, Martínez, Alvaro, Navarro-Barrios, Tatiana, Nicolás-López, Pablo Ramirez Romero, Emiliano, Cano-Trigueros, María Concepcion Alonso González, Leticia Gómez Viana, Ana Pastor Zapata, Elisa Contreras Saiz, Tamara Díaz Vico, Maria, Fernandez-Hevia, Luis Joaquín García Flórez, Raquel, Rodríguez-Uria, Sandra, Sanz, Lorena, Solar-Garcia, Aida Suárez Sánchez, Jaume, Gelonch, Dietmar, Reinaldo, Miriam Abdulkarim Polo, Asier, Aguirre, Marta Alomar Bofill, Santiago, Baena, Ashish, Bartakke, Carmen Cabeza Oliver, Marta Castro Suárez, José Andrés Cifuentes Rodenas, Olga Claramonte Bellmunt, Ant Onia Crespí Mir, Anabel De La Llave Serralvo, Mar, Escales, Isabel Rosa Fernández Burgos, Pablo Gandia Gonzalez, Juan Lliteras Jorge, María Cristina Martínez Canto, Javier, Mata, Andreu, Morell, Naila, Pagès, Sara Pérez Palao, Cristian Plaza Valiente, Catalina Ramon Barcelo, Carmen Reyero Fernández, Albert Reyes Claret, Leticia Rodriguez Vaquero, Maialen Saez de Vicuña Salinas, Pilar Santos Cidon, Concepcion, Segura, Aina, Serra, Maria Serra Guivernau, Maria Soler Pedrola, Marta, Tasende, Marta Torrent Lluch, María Inmaculada Valldeperas Hernández, Rosa-Maria, Yañez-Lpez, Andrea, Craus-Miguel, Laura Fernández Vega, Natalia Pujol Cano, Juan José Segura-Sampedro, Laura Colet Oliver, Ivan Dot Pascuet, Mireia, Duart, Isabel Tello Galindo, Eduardo Arrea Salto, Jaume Cámara Cabrera, Marta Camats Terré, Juan Gabriel Castro Ríos, Marta de la Rosa-Estadella, Anna, Fernandez-Colorado, Anna, Gasulla-Rodriguez, Antonio, Gimenez-Gaibar, Elena, Gonzalez, Yeray Maldonado Sotoca, Matilde, Molina-Corbacho, Montserrat Monfort Mira, Josep, Rodoreda, Marta Santos Espí, Arnau Verdaguer Figuerola, Elisa Angela Diego-Alonso, Jaime, López-Sánchez, Luis, Muñoz-Bellvis, Jacobo, Trebol, Borja, Aguinagalde, Cristina Gabriela Alzate Arsuaga, Ainhoa Andres Imaz, Iñigo, Arana, Coro Aranzabal Urrutia, Mikel, Armendariz, Lorena, Arrabal, Iñigo, Augusto, Adolfo, Beguiristain, Laura, Busto, Ainhoa, Cuevas, Itziar De Ariño, Alejandro, Elúa, Leticia, Fernandez, Arantza, Fernandez-Monge, Lander, Gallego, Alba, Garcia, Amaia Garcia Dominguez, Gregorio, Garmendia, Carmen, Grañén, Pelayo Hevia Rodríguez, Maria, Iraola, José Miguel Izquierdo, Aintzane, Lizarazu, Jon Ander Lizarbe, Claudia Cristina Lopes Moreira, Iker, López, Ruth Marquina González, Tania, Pastor, Adrián Recio Ayesa, Ana Paula Riverola Aso, Carballo, Rodríguez, Araceli, Rodrìguez, Maria Inmaculada Ruiz Montesinos, Patricia, Torres, Jose, Undabeitia, Ainara, Villafruela, Maria Barrionuevo Ramos, David, Blanco, Marta, Calderón, Eva Corral Rubio, Angel, Cuadrado-García, Daniela, Cubek, Ignacio, Fariña, Maria Fernandez LLorente, Natalia Flores Amador, Mariana García Virosta, Luis Garcia-Sancho Tellez, Adelina Gonzalez Martinez, María, Hernandez, Rubén Herreros Ruiz-Valdepeñas, Carmen Jimenez Sanchez, Eduardo Llamazares Cobo, María, López, Javier, López-Martin, Teresa Martínez Marivela, Luis Miguel Martinez Parra, Paloma Maté Mate, Paloma, Medrano, Manuel Moriche Carretero, Sara Núñez O'Sullivan, Manuel Ortega Oria de Rueda, María Begoña Pastor Nieto, Clara, Pérez, Antonio, L Picardo, Remedios Revilla Amores, Carmen Rodríguez Haro, Jose Alberto Rojo López, Fatima Sanchez Cabezudo Noguera, Cristina, Sanz, Daniel Serralta de Colsa, Cristina Valor Garcia, Marta Velasco Martinez, Iván Andújar Lara, Aranzazu, Calero-Lillo, Enrique, López-Ruiz, Alberto Díaz García, Alejandro Menéndez Moreno, Luis Eduardo Pérez-Sánchez, Ángela, Pascual, Miguel Adeba García, Marta Alonso Fernández, Javier Alvarez Gama, Roberto, Ballestero, Loreto Berjon De La Vega, Paola Calleja Hermosa, Mariana, Carrillo-Rivas, Alfonso, Casado, Andrea, Cerveró, Bonifacio Cimadevilla Calvo, Patricia Corriols Noval, Paloma de la Dehesa Cueto-Felgueroso, Miren Jasone Diez Zapirain, José Estevez Tesouro, José Antonio Fernández-Dívar Sánchez, Lucia Garcia Alcalde, Juan García Cardo, Tito García Moreno, Daniel, García-López, Belen Garcia-Montesinos Perea, Miren Gonzalez Benito, Rocio, Gonzalez-Aguado, Miguel Ángel Gordo Vega Gordo-Vega, Jose, Gutierrez-Banos, Jaime Jimeno Fraile, Yolanda Jubete Castañeda, Patricia Lopez Gomez, Antonia Jesús López López, David Mato Mañas, Carmelo, Morales-Angulo, Dieter, Morales-Garcia, Sara, Naranjo, Jose Luis Rabago, Jose Manuel Rabanal, Rocio Revuelta Zorrilla, Adriana Reyes Echeverría, Juan Carlos Rodríguez-Sanjuán, Juan Ramón Sanz, Isabel Simal Badiola, Guillermo, Tejón, Enrique Toledo Martínez, Raquel Varea Malo, Begoña, Fadrique, Tania, Funes, Elena González Revilla, Isaias, Alarcón, Daniel Aparicio Sánchez, Pablo Beltran Miranda, Carmen, Cepeda-Franco, María Josefa Cuevas López, Sandra, Dios-Barbeito, Virginia María Durán Muñoz-Cruzado, Carlos Gonzalez De Pedro, Rosa, M Jimenez-Rodriguez, Francisco, Manresa-Manresa, Gabriel, Marin, Cristobalina, Martin-Garcia, Sara, Martínez-Núñez, Juan Manuel Martos Martinez, Lucas, Mengíbar, Felipe Pareja Ciuro, Eduardo Perea Del Pozo, Veronica Pino Diaz, José, Pintor-Tortolero, Claudia, Quintero-Pérez, Maria Luisa Reyes Diaz, Mercedes Rubio Manzanares Dorado, Alejandro Sanchez Arteaga, Ana, Senent-Boza, Luis, Tallon-Aguilar, Jose, Tinoco-Gonzalez, Luis-Cristobal, Capitan-Morales, Juan Cintas Catena, Javier, Valdes-Hernandez, María Del Campo Lavilla, Alina López De Fernández, Miriam Abellan Lucas, Alba Diaz Padillo, Maria Gómez Romero, Linda Grace Puerto Tamayo, El Mostafa El Yaqine Er Raoudi, Melody García Domínguez, María Ángeles Gascón Domínguez, Marta González Pérez, Alba Hernáez Arzoz, Joana San Anton, Cristian, Ruminot, Hander Guillermo Acosta Diaz, Daniella, Laguado, Kristina, Aghababyan, Alba, Jr, Enrique, Artigues, Rocío, Belda, Miguel, Beltran, Jose Ignacio Blanes, Elena Campos Carot, Miriam, Cantos, Laura, Costa, Carolina Ferrer Gomez, José María Gallego Sánchez, Oscar, Gil-Albarova, Juan, Gilabert-Estellés, Emilio Lopez Alcina, Isabel López Sánchez, Severiano Marin Bertolin, Carolina, Martinez-Perez, Antonio Melero Abellán, Claudia Mulas Fernández, Beatriz, Novoa, Ruth, Nuñez, Pablo Renovell Ferrer, Guijarro-Jorge, Ricardo, Carolina Soledad Romero Garcia, Miguel Sanfeliu Giner, Silvia, M West, Enrique, Zapater, Ignacio, Miranda, Ana, Monís, Alejandro Roselló Añón, María José Sangüesa, Jorge Sanz Romera, Marcos, Adrianzén, Maria Barrios Carvajal, Mireia, Bauzá, Ana Benítez Riesco, Jose Antonio Carbonell Lopez, María-Carmen, Fernández-Moreno, Ricardo Gadea Mateo, Francisco, Garcia, Maris Luisa García-Pérez, Luisa Paola Garzon, Ana, Izquierdo, Maria Lapeña Rodríguez, Carlos, León-Espinoza, Fernando, Lopez, Rosa Martí Fernández, Sara Martínez Castro, Berta Monleón López, Isabel Mora Oliver, David, Moro-Valdezate, Ernesto Muñoz Sornosa, Sara Palomares Casasús, Leticia Pérez Santiago, Mara Albert Fort, Reyes, Balanzá, Lorena Bermell Marco, Carla Carratalá Pérez, Claudia Pilar Clemente Tomas, Marta, Córcoles, Jose Ángel Diez Ares, Carlos Domingo Del Pozo, Nuria Estellés Vidagany, Gonzalo, Garrigos, Mar Gimeno Gimeno Vicente, Blanca Alastrue Giner, Segundo, Gomez-Abril, Paloma, Gonzalez, Paula Gonzálvez Guardiola, Guillermo Sebastian Martínez Fernández, Charo Martínez García, Lucía, Martínez-Costa, Luz María Moratalla Charcos, Sergio Navarro Martínez, Carmen, Payá-Llorente, Álvaro Pérez Rubio, Nuria, Peris, Eduardo Picazo Pineda, Jordi Planelles Gómez, Francisco Ripoll Vidal, Andrea, Roca, Enrique, Salmerón-González, Raquel Segura Roselló, Ramon Trullenque Juan, Cristina Verdejo Gimeno, Jose Miguel Zaragozá García, Gema Zomeño Bravo, Marcos Bruna Esteban, Hanna, Cholewa, Milton de Jesus, Matteo, Frasson, Luis Oliver García, Héctor, J Aguado, Antonio Jose Alonso Villalba, Francisco, Ardura, Carmen Elena Badillo Bercebal, María Bedate Núnez, Alvarez-Ramos Begoña Aranzazu, Juan Beltrán de Heredia, Hugo, Bermejo, Juan Berrocal Cuadrado, Maria Bragado González, Juan, Bustamante-Munguira, Raul Calvo Gonzalez, Yolanda, Carrascal, Ana Belén Casas Marcos, María Carmen Cervera, Sergio Chávez Valladares, Ángel Cilleruelo Ramos, Susana, Cortes, Jesús, Crespo-Sanjuán, María, Cuaresma, Luis Antonio Cuellar Martin, Carlos Ferreras García, Alvaro, Fuentes-Martín, Abel, Ganso, Elena García García, Luis, Garcia-Florez, Virginia, Garcia-Virto, Juan, Gatón, Julio Alberto Gobernado Tejedor, Tania Gómez Sanz, Jose Ignacio González Martín, María Begoña Gregorio Crespo, Ana Herranz Arriero, Jose, Herreros, Marta Ibáñez Nieto, César, Infante, Carlos, Jezieniecki, Moises, Juarez, Gregorio de Jesus Labrador Hernandez, Ana Patricia Legido Morán, Ricardo León Fernández, Alejandro, Leon-Andrino, Almudena, Llorente, Maria Lopez Pais, Mauricio Loucel Bellino, Sergio, Martin, Miguel Angel Martin-Ferrero, Gonzalo Martinez Municio, Elvira Mateos Alvarez, José María Matilla, Luis María Merino Peñacoba, Mario, Montes-Manrique, Fernando Natal Álvarez, David, C Noriega, Henar Nuñez Del Barrio, Francisco Javier Ortiz de Solórzano Aurusa, Lucía, Pañeda, Victoria Pascual Escudero, Miguel Pascual Samaniego, Adela, Pereda, Marta Pérez Febles, Laura, Pesquera, Maria, Plata, Emma Puertas Ruiz, Mario, Rodriguez-Lopez, Alejandro Romero de Diego, Ana, Ruano, María Ruiz Soriano, Cristina Sánchez Torralvo, Silvia Santiago Maniega, Bárbara, Segura-Méndez, Clarisa Simon Perez, José, Soro-García, Paula Suárez Mansilla Suárez-Mansilla, Jeancarlos Trujillo Díaz, Mª Esther Valsero Herguedas, Andrea Vazquez Fernandez, Eduardo Velasco García, Ana, Zabalza, Álvaro Zamora Horcajada, Fernando Acebes García, Enrique Asensio Díaz, Martín, Bailón, Alejandro David Bueno Cañones, Alvaro Centeno Velasco, Ekta Choolani Bhojwani, Fernando Labarga Rodríguez, Sara, Mambrilla, Pablo, Marcos-Santos, Toledano, Miguel, David Pacheco Sánchez, Baltasar, Pérez-Saborido, Pilar, Pinto, Katherine, Plua, Javier Sanchez Gonzalez, Vicente, Simo, Rosalía Velasco López, Sandra Veleda Belanche, Fabiola Eugenia Michel Campos, Iciar Muñoz Lindez, Maria, Balluerca, Maite, Camuera, Pablo, Helguera, Imanol, Herrero, Patricia Paunero Vazquez, María, Sánchez-Rubio, Isami, Soeda, María Dolores Arribas Del Amo, Vicente Manuel Borrego Estella, Estefania, Casas, Néstor Castán Villanueva, Daniel Delfau Lafuente, Elena Delgado Blanco, María, Domingo, Ismael Gil Romea, Azucena, Gonzalo, Emilio Lagunas Lostao, Noelia Lete Aguirre, Yaiza Martinez Lahoz, Jesús Víctor Pérez-Tierra Ruiz, Maria Del Mar Soriano, Isabel Valero Lázaro, Esmeralda Carnicer Escusol, Guillermo Pola Bandres, Juan Luis Blas Laina, Beatriz, Cros, Patricio Andrés Freile Pazmiño, David, Garcia-Aguilera, Ana Mejía Casado, Ana, Nogués, Issa Talal El-Abur, Carlos, Yánez, Isabel Gascon Ferrer, Carlos, Gracia-Roche, Ursula María Jariod Ferrer, María Victoria Simón Sanz, Tomas, Uson, Waseem, Ahamed, Sumudu, Jayasinghe, Eranda, Karunadasa, Prathibha, Nelihela, Sujeewa Priyantha Bandara Thalgaspitiya, Dickson, Wickramarathna, Nagenthiram, Harivallavan, Pirashanthan, Nagarasa, Eranga, Perera, Kanapathipillai, Piratheep, Vithranage Srimantha Dewsiri Rodrigo, Meera, Thayalan, Rajendram, Thayaparren, Arulprashanth, Arulanantham, Kanishka De Silva, Gagana, Ganga, Anuja Nadeeshan Kumarasinghe, Mahanada, Udukala, Koculen, Vimaleswaran, Prashanthan, Yogarajah, Ravindri, Jayasinghe, Probhodana, Ranaweera, Mohamed, Rishard, Dharmabandhu, N Samarasekera, Sanjeewa, Seneviratne, Sivasuriya, Sivaganesh, Chamal, Fernando, Nishantha, Mendis, Balasingam, Balagobi, Balasupramaniam, Sathesan, Lanka, Dasanayake, Malitha, Patabendige, Wickramasooriya, Dj, Kugarajh, Ganeshapillai, Sathyamoorthy, Prasanna, Dileepa, Ediriweera, Sumudu, Kumarage, Asanka, Jayawardane, Athula, Kaluarachchi, Pituwala Liyanage Adithya Sirisena, Abubakr, Abubakr, Hozifa, Mohamed, Ismail, Mustafa, Mogahid, Sharfeldein, Samir, Ismail, Reem, Musa, Monira, Sarih, Mussab, Abaker, Eman Adam Abdalla, Mohamad, Abdelbagi, Alsafe, Adlan, Ahmed, Alnaeem, Safa, Atyah, Yasir, Awad, Rsheeda, Dawelbait, Mohamed El Hag, Ibrahim, Elbashir, Sami, Eldirdiri, Samwal, Eldirdiri, Mohammed Eltahier Abdalla Omer, Lana Abdalgadir Ahmed Mohamed, Hiba Hassan Rehmtallah Ahmed, Mohammed Balla Yousif Balla, Abdulmoiz, Aljafari, Abdulmalek, Aljafari, Elsagad, Mohamed, Abdulkader, Mohammad, Abdulkader, Shaar, Mohamed Nafea Shaar, Maab Hussein Yousif Elhafiz, Mohammed Husien Yosif Elhafiz, Abubakr Ali Mohammed Alhassan Humidan, Almigdad, Ali, Hisham, Eljack, Mohamedyasin, Elrashid, Manhal, Ahmed, Albrra, Alhag, Douaa, Ali, Mohammed Ahmed Babikir, Imad, Bakheit, Hytham K, S Hamid, Sami, Mohamed, Walid, Shaban, Nidhal, Siddig, Mohamed, Suliman, Rihab Yasir Abdelmagid, Abubaker, Yassin, Omer, Abbas, Eltahir, Abdelrahim, Muhammed, Ahmed, Mohamed, Elobaid, Adil, Hashim, Ali, Mohamed, Omer, Mohamed, Khalid, Osman, Abdallah, Yousif, Safaa, Abdulaal, Marwa, Elsadig, Mohammed, Hussain, Malaz Amir Ataalmanan, Doha Amir AtaAlmanan, Tebyan Amir AtaAlmanan, Alaa, Elgaili, Maria, Mohamed, Usra, Omara, Alkhansa, Osman, Amna, Osman, Safaa, Saad, Abdelkareem, Ahmed, Ali Adil Ali Karar, Aya, Alhassan, Mohanad, Alsidig, Mohamed, Eljack, Mohammed Ibrahim Mohammed Ali, Awad Kamal Awad Osman, Liena, Mohamed, Samah Ibrahim Omer Mohamed Osman Mohamed Osman, Altayeb, Mohammed, Ayman, Mohammed, Khadija, Muhmmed, Eltahir, Musa, Egbal Sahal Abdelmajed, Khalid Z M, Y Hamid, Omnia M, M Yousif, Mahmoud, Saleh, Osman, Bashir, Yassein, Elhussein, Omar, Madani, Eva, Angenete, Jennifer, Park, Lars, Gillberg, Monir, Jawad, Linas, Pieteris, Yousif, Saeed, Sergej, Safonov, Martin, Spångfors, Henrik, Andersson, Hans, Bahlmann, Karin Björnström Karlsson, Michelle, Chew, Lara, Daham, Lina De Geer, Helen, Didriksson, Gunilla, Gagnö, Carina, Jonsson, Anna, Oscarsson, Pamela, Buchwald, Mathilde, Delorme, Marie-Louise, Lydrup, Shahin, Mohseni, Arvid, Pourlotfi, Souheil, Reda, Kajsa, Anderin, Nina, Blomme, Josefin, Segelman, Malin, Simlund, Anders, Thorell, Fredrik, Wogensen, Daniel, Danielsson, Peter, Elbe, Rebecka, Hultgren, Boel, Hynning, Fredrik, Klevebro, Karin, Lind, Ebba, K Lindqvist, Carl, Montan, Ernesto, Sparrelid, Clara Svenberg Lind, Jeremy, Wales, Andreas, Älgå, Martin, Nordberg, Emil, Pieniowski, Ioannis, Gkekas, Niklas, Löfgren, Karolina, Niska, Robert, Zürner, Silvio, Däster, Otto, Kollmar, Savas, Soysal, Stephanie, Taha-Mehlitz, Athanasios, Tampakis, Dominik Valentin Flury, Marie, Heyne-Pietschmann, Gregor Jan Kocher, Ana, M Calinescu, Barbara, Wildhaber, Markus, Gass, Jürg, Metzger, Andreas, Scheiwiller, Lukas, Briner, Oliver, Dwidar, Steven, Grandjean, Pietro, Ricciardi, Alexandra, Calmels, Christodoulou, Michel, Morena, Antonilli, Dimitrios, Christoforidis, Alessandra, Cristaudi, Jacopo, Galafassi, Maria Luisa Gasparri, Francesco, Mongelli, Martino, Munini, Andrea, Papadia, Sotirios Georgios Popeskou, Alex, Alfieri, Thomas, Bächler, Matteo, Giardini, Christian, Gingert, Laura, Guglielmetti, Inna, Meyer, Tobias, Müller, Daniel, Schöni, Folco, Solimene, Frank, Weidner, Marco, Bueter, Daniel, Gero, Amelie, Müller, Carmen, Portenkirchner, Andreas, Thalheimer, Jeannette, Widmer, Ahmad, Hmaideh, Alaa, Kour, Saleem, Swaes, Omar, Alannaz, Ramez, Aljasem, Ezeddin, Dabbagh, M Wafa Hamoud Alhussein, Amr, Hamza, Mazen, Mohammad, Abd El-Fattah Mouhandes, Mohamad, Shareeda, Mohammad Nour Shashaa, Mousa, Sifat, Sheraa, Tahhan, Rahaf, Toutounji, Mohamed, Abdulrahman, Albaraa, Abdulsalam, Ziad Al Jarad, Hala, Alayyoubi, Dina, Alfarra, Ahmad, Alhamid, Mahmoud, Alnasser, Mulham, Gharib, Ruwaid, Gharib, Obaida, Kabel, Osama, Kherallah, Abdulqader, Klaho, Mohamed Shukri Najjar, Ahmad, Razouk, Joud, Shiekhoni, Wael, Alkhaleel, Amira, Almosa, Mohammad, Aloulou, Maen, Alzaeem, Khaled, Arnaout, Muhamad Zakaria Brimo Alsaman, Mohamad, Estanbouli, Hanadi, Hawa, Ahmad Nbrass Kabawi, Ghina, Maarawi, Yehia, Mashhadany, Sana Shaikh Torab, Waleed, Abd, Tayma Abd Alghafour, Hani, Abdalnour, Nazeeh Al Aktaa, Marwan Al Aliwy, M Maher Al Arje, Tasneem Al Najjar, Ahmad, Al-Mouakeh, Ahmad, Aldakhil, Aos, Alhamid, Hasan, Alhasan, Mohamad Shadi Alkarrash, Jumaa, Alkhamis, Sara, Alshekh, Ahmad Yamen Arnaout, Oula, Azizeh, Mohammed, Dalaleh, Aghyad, Danial, Zain, Douba, Raghad, Ghadri, Mohammad Maen Ghannam, Anas, Ghawi, Luma Haj Kassem, M Yasser Halwani, Shahed, Hamadieh, Mohammad, Hanino, Ala Aldeen Hasan, Haya, Jawish, Nasr Ullah Kabbani, Saadullah, Kabbany, Mohamad, Kadi, Lama, Kadoura, Ahmad Amir Kayali, Ammar, Kayyali, Aya, Kelzia, Amana, Kezze, Abdullah, Khalaf, Maymona, Khayata, Mohammad Nour Kitaz, Mohammad, Kour, Raghad, Makki, Ruqaya, Masri, Joseph, Masri, Noor, Masri, Muhammad, Mazketly, Shiar, Mustafa, Ezzeldin, Nashed, Yaman Qoudra Danial, Hasan, Raslan, Rima, Salem, Mohammed Asaad Salem, Thabet Sayed Bakir, Manaf, Sharabaji, Majd Sheikh Alganameh, Duaa Sheikh Kadro, Joudy, Shurbatji, Mohammad Noor Sultan, Dana, Sultan, Hala, Swied, Bakri Tarras Jarkas, Tayf, Toutounji, Fadi, Ward, Rama, Zazo, Aya, Zazo, Zainab, Zeino, Mohamed, Alaktaa, Wael, Alsado, Hala, Fares, Nouran, Hawa, Hamza, Ibrahim, Abdulmonem, Kawas, Mourad, Niazi, Bayan, Toutounji, Mohammad, Abdow, Mohamad, Ahmad, Tareq, Ahmad, Rawan Al Azhar, Hiba Al Hage Diab, Rahaf Al Mulke, Mohammad, Al-Jadaan, Ahmad, Alhussein, Zahra, Alnajem, Omar, Alneser, Bayan, Alsaid, Elias, Azar, Lubna, Bakr, Ammar, Hamza, Yara, Houdifa, Sami, Jomaa, Samer, Kefo, Hiba, Mardini, Alaa, Mohammad, Fadi, Rayya, Fatima, Razzouk, Mohannad, Saleh, Anwar, Shamandi, Ammar Youzkatli Alkhatib, Omar Abdul Salam, Dany, Ajami, Mohammad, Alhamid, Ahmad, Alkhaledi, Danny, Hadidi, Massa, Jabra, Mamdouh, Kallas, Antoine, Laktine, Joelle, Naem, Naya, Naoum, Ghena Mohammed Fawaz Ashour, Ahmad, Alhouri, Deema, Fallouh, Ahmad, N Mohammad, Ahmad, Rmman, Ali, Slitin, Christine, Tanos, Ibrahim, Wakim, Hanaa, Zahrawi, Majd, Abouassi, Layth, Abouassi, Ayham, Aboutrab, Basel, Ahmad, Ahmad Mustafa Ahmad, Aya, Ahmad, Afaf, Ahmad, Mohamad, Alabras, Mohammad, Albasheer, Ola, Alkasser, Mhd Khaled Alkasser, Ali, Alkhdor, Marah, Azkoul, Mohammad Karam Chaaban, Haya, Deeb, Basel, Jazieh, Basel, Kouz, Youssef, Kozah, Raied, Mohamad, Ammar, Mohammad, Mhd Zied Nasri, Mohammed Mouaz Shebani, Mohammed, Shwin, Alaa, Sommaq, Amal, Youssef, Tala Al Asadi, Suhad, Alkhateb, Rasha Khalil Alsayyad, Roula, Altom, Mhd Amin Alzabibi, Batoul, Bakkar, Hlma, Ismail, Salma Khadem Alsrouji, Sara, Melhem, Mohamad, Sankari, Mosa, Shibani, Noura, Shujaa, Ibrahim, 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Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Nepogodiev, D, Rosati, R, Surgery, Medicine and Pharmacy academic/administration, Basic (bio-) Medical Sciences, Surgical clinical sciences, Faculty of Medicine and Pharmacy, Gastroenterology, Medical Oncology, Clinical sciences, Breda, João, ARD - Amsterdam Reproduction and Development, Paediatric Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, AGEM - Endocrinology, metabolism and nutrition, Graduate School, Tytgat Institute for Liver and Intestinal Research, Laura Alberici, Filippo Antonacci, Alessandro Arena, Angela Belvedere, Fabio Bernagozzi, Paolo Bernante, Pietro Bertoglio, Lorenzo Bianchi, Maria Bisulli, Barbara Bonfanti, Safia Boussedra, Jury Brandolini, Crescenzo Cacciapuoti, Stefano Cardelli, Riccardo Casadei, Matteo Cescon, Alessandro Cipolli, Riccardo Cipriani, Alfredo Conti, Luca Contu, Francesco Costa, Niccolo’ Daddi, Eugenia De Crescenzo, Pierandrea De Iaco, Alessandra De Palma, Massimo Del Gaudio, Anna Nunzia Della Gatta, Giampiero Dolci, Giulia Dondi, Matteo Droghetti, Sergio Nicola Forti Parri, Elena Garelli, Chiara Gelati, Giuliana Germinario, Federico A. Giorgini, Carlo Ingaldi, Elio Jovine, Kenji Kawamukai, Antonio Lanci Lanci, Raffaele Lombardi, Maria Elisa Lozano Miralles, Claudio Marchetti, Michele Masetti, Francesco Minni, Daniele Morezzi, Daniele Parlanti, Alice Pellegrini, Anna Myriam Perrone, Anna paola Pezzuto, Marco Pignatti, Gianluigi Pilu, Valentina Pinto, Gilberto Poggioli, Silvana Bernadetta Puglisi, Diego Raimondo, Matteo Ravaioli, Claudio Ricci, Sara Ricciardi, Francesco Ricotta, Roberta Rizzo, Angela Romano, Matteo Rottoli, Riccardo Schiavina, Renato Seracchioli, Matteo Serenari, Margherita Serra, Piergiorgio Solli, Gioia Sorbi, Mario Taffurelli, Marta Tanzanu, Achille Tarsitano, Marco Tesei, Gabriele Vago, Tommaso Violante, Simone Zanotti, Tommaso Frisoni, leonardo solaini, giorgio ercolani, Fruscio, R, Ornaghi, S, Collaborative, Covidsurg, Collaborative, Globalsurg, Palmisano, Silvia, de Manzini, Nicolo', Žundienė, Laura, Dulskas, Audrius, Kuliavas, Justas, Čekauskas, Albertas, Kielaitė-Gulla, Aistė, Poškus, Tomas, Strupas, Kęstutis, Želvys, Arūnas, COVIDSurg Collaborative, GlobalSurg Collaborative, Department of Surgery, HUS Abdominal Center, Simoes, Jff, Li, E, Picciochi, M, Glasbey, Jc, Baiocchi, G, Blanco-Colino, R, Chaudhry, D, Alameer, E, El-Boghdadly, K, Wuraola, F, Ghosh, D, Gujjuri, Rr, Harrison, Em, Lule, H, Kaafarani, H, Khosravi, M, Kronberger, I, Leventoglu, S, Mann, H, Mclean, Ka, Mengistu, Gm, Modolo, Mm, Ntirenganya, F, Norman, L, Outani, O, Pius, R, Pockney, P, Qureshi, Au, Roslani, Ac, Satoi, S, Shaw, C, Bhangu, A, Omar, Om, Ahmed, Wur, Argus, L, Ball, A, Bywater, Ep, Brar, A, Dawson, Be, Duran, I, Elhadi, M, Jones, C, Kamarajah, Sk, Keatley, Jm, Lawday, S, Marson, Ej, Ots, R, Santos, I, Taylor, Eh, Trout, Im, Varghese, C, Venn, Ml, Xu, W, Dajti, I, Gjata, A, Kacimi, Seo, Boccalatte, L, Cox, D, Townend, P, Aigner, F, Kronberger, Ie, Samadov, E, Alderazi, A, Hossain, K, Padmore, G, van Ramshorst, G, Lawani, I, Cerovac, A, Delibegovic, S, Gomes, Gma, Buarque, Il, Gohar, M, Slavchev, M, Nwegbu, C, Agarwal, A, Martin, J, Ng-Kamstra, J, Olivos, M, Lou, Wh, Ren, Dl, Calvache, Ja, Rivera, Cjp, Hadzibegovic, Ad, Kopjar, T, Mihanovic, J, Jimenez, Pma, Gouvas, N, Klat, J, Novysedlak, R, Amisi, N, Christensen, P, El-Hussuna, A, Batista, S, Lincango-Naranjo, E, Emile, S, Sandoval, Daa, Dhufera, H, Hailu, S, Mengesha, Mg, Kauppila, Jh, Arnaud, Ap, Demetrashvili, Z, Albertsmeier, M, Lederhuber, H, Loffler, Mw, Acquah, Dk, Ofori, B, Tabiri, S, Metallidis, S, Tsoulfas, G, Aguilera-Arevalo, Ml, Recinos, G, Mersich, T, Wettstein, D, Kembuan, G, Milan, Pb, Khosravi, Mh, Mozafari, M, Hilmi, A, Mohan, H, Zmora, O, Gallo, G, Pata, F, Pellino, G, Fujimoto, Y, Kuroda, N, Abou Chaar, Mk, Ayasra, F, Fakhradiyev, I, Hamdun, Ih, Jin-Young, J, Jamal, M, Karout, L, Gulla, A, Rasoaherinomenjanahary, F, Samison, Lh, Sanchez, Iid, Gonzalez, D, Martinez, L, Martinez, Mj, Nayen, A, and Ramos-De la Medina, A
Subjects: Male, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], MULTICENTER, infectious diseases, 0302 clinical medicine, 030202 anesthesiology, Anesthesiology, Cirugía, 80 and over, Prospective Studies, Young adult, Child, Lung, Aged, 80 and over, COVID-19, delay, SARS-CoV-2, surgery, timing, SARS‐CoV‐2 infection, Operative, Child, Preschool, Pneumonia & Influenza, Infection, Cohort study, Human, medicine.medical_specialty, Clinical Sciences, Sars-cov-2, GlobalSurg Collaborative, Settore MED/28 - MALATTIE ODONTOSTOMATOLOGICHE, 03 medical and health sciences, Clinical Research, Biodefense, Correspondence, Humans, PULMONARY COMPLICATIONS, CRIANÇAS EM IDADE PRÉ-ESCOLAR, Aged, Science & Technology, Cirurgia, Prevention, Infant, Odds ratio, Pneumonia, Prospective Studie, Clinical research, Surgery, Human medicine, 610 Medizin und Gesundheit, 1109 Neurosciences, Internationality, Settore MED/29 - CHIRURGIA MAXILLOFACCIALE, Settore MED/18 - CHIRURGIA GENERALE, Adolescent, Adult, Cohort Studies, Female, Middle Aged, Surgical Procedures, Operative, Time, Young Adult, Practice Guidelines as Topic, gastroenterology, Medicine and Health Sciences, 030212 general & internal medicine, Prospective cohort study, Mortality rate, Covid19, Infectious Diseases, Patient Safety, medicine.symptom, 6.4 Surgery, Life Sciences & Biomedicine, 610 Medicine & health, COVID-19, SARS-CoV-2, delay, surgery, timing, Asymptomatic, NO, COVIDSurg Collaborative, Vaccine Related, All institutes and research themes of the Radboud University Medical Center, medicine, Mortalitat, ddc:610, Mortality, Preschool, LS7_4, Surgical Procedures, business.industry, Neurosciences, Evaluation of treatments and therapeutic interventions, 1103 Clinical Sciences, 3126 Surgery, anesthesiology, intensive care, radiology, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Anesthesiology and Pain Medicine, Emerging Infectious Diseases, Good Health and Well Being, Mortalidad, Cohort Studie, business
Abstract: Peri-operative SARS-CoV-2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS-CoV-2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre-operative SARS-CoV-2 infection were compared with those without previous SARS-CoV-2 infection. The primary outcome measure was 30-day postoperative mortality. Logistic regression models were used to calculate adjusted 30-day mortality rates stratified by time from diagnosis of SARS-CoV-2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre-operative SARS-CoV-2 diagnosis. Adjusted 30-day mortality in patients without SARS-CoV-2 infection was 1.5% (95%CI 1.4-1.5). In patients with a pre-operative SARS-CoV-2 diagnosis, mortality was increased in patients having surgery within 0-2 weeks, 3-4 weeks and 5-6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3-4.8), 3.9 (2.6-5.1) and 3.6 (2.0-5.2), respectively). Surgery performed ≥ 7 weeks after SARS-CoV-2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9-2.1)). After a ≥ 7 week delay in undertaking surgery following SARS-CoV-2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2-8.7) vs. 2.4% (95%CI 1.4-3.4) vs. 1.3% (95%CI 0.6-2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS-CoV-2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay. ispartof: ANAESTHESIA vol:76 issue:6 pages:748-758 ispartof: location:England status: published
Published: 2021

45. Rhabdomyolysis in Severe COVID-19: Male Sex, High Body Mass Index, and Prone Positioning Confer High Risk

Author: Ava Mokhtari, George C. Velmahos, Kimberly Langeveld, Haytham M.A. Kaafarani, Osaid Alser, Carolijn Kapoen, Lydia R. Maurer, Mathias A. Christensen, Apostolos Gaitanidis, Mohamad El Moheb, Leon Naar, and Kerry Breen
Subjects: Male, medicine.medical_specialty, Organ Dysfunction Scores, medicine.medical_treatment, Critical Illness, Comorbidity, Risk Assessment, Article, Rhabdomyolysis, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Sex Factors, Risk Factors, Internal medicine, Extracorporeal membrane oxygenation, medicine, Prone Position, Humans, Renal replacement therapy, Hospital Mortality, Prospective Studies, Prospective cohort study, Creatine Kinase, Aged, biology, business.industry, SARS-CoV-2, Incidence, Critical-Illness, COVID-19, Length of Stay, Middle Aged, medicine.disease, Obesity, Morbid, Prone position, Intensive Care Units, 030220 oncology & carcinogenesis, biology.protein, 030211 gastroenterology & hepatology, Surgery, SOFA score, Creatine kinase, Female, business, Body mass index
Abstract: Background: Bedside experience and studies of critically ill patients with coronavirus disease 2019 (COVID-19) indicate COVID-19 to be a devastating multisystem disease. We aim to describe the incidence, associated variables, and outcomes of rhabdomyolysis in critically ill COVID-19 patients. Materials and Methods: Data for all critically ill adult patients (≥18 years old) admitted to the ICU at a large academic medical center with confirmed COVID-19 between March 13, 2020 and April 18, 2020 were prospectively collected. Patients with serum creatine kinase (CK) concentrations greater than 1000 U/L were diagnosed with rhabdomyolysis. Patients were further stratified as having moderate (serum CK concentration 1000-4999 U/L) or severe (serum CK concentration ≥5000 U/L) rhabdomyolysis. Univariate and multivariate analyses were performed to identify outcomes and variables associated with the development of rhabdomyolysis. Results: Of 235 critically ill COVID-19 patients, 114 (48.5%) met diagnostic criteria for rhabdomyolysis. Patients with rhabdomyolysis more often required mechanical ventilation (p-value
Published: 2020

46. Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients

Author: Lydia R. Maurer, Daisy Zhuo, Mohamad El Moheb, Jack Dunn, Jordan Levine, Majed El Hechi, Haytham M.A. Kaafarani, Dimitris Bertsimas, and George C. Velmahos
Subjects: Adult, Male, medicine.medical_specialty, Databases, Factual, medicine.medical_treatment, Population, MEDLINE, Subgroup analysis, 030230 surgery, Risk Assessment, law.invention, 03 medical and health sciences, 0302 clinical medicine, Postoperative Complications, law, Artificial Intelligence, Risk Factors, Laparotomy, medicine, Humans, Hospital Mortality, education, Emergency Treatment, Aged, Mechanical ventilation, education.field_of_study, business.industry, Septic shock, General surgery, Decision Trees, Middle Aged, medicine.disease, Benchmarking, Calculator, Respiratory failure, 030220 oncology & carcinogenesis, Feasibility Studies, Surgery, Female, Artificial intelligence, business, Emergency Service, Hospital
Abstract: Background The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the performance of POTTER in the emergency general surgery (EGS) population in particular. Methods All patients who underwent EGS in the 2017 American College of Surgeons NSQIP database were included. The performance of POTTER in predicting 30-day postoperative mortality, morbidity, and 18 specific complications was assessed using the c-statistic metric. As a subgroup analysis, the performance of POTTER in predicting the outcomes of patients undergoing emergency laparotomy was assessed. Results A total of 59,955 patients were included. Median age was 50 years and 51.3% were women. POTTER predicted mortality (c-statistic = 0.93) and morbidity (c-statistic = 0.83) extremely well. Among individual complications, POTTER had the highest performance in predicting septic shock (c-statistic = 0.93), respiratory failure requiring mechanical ventilation for 48 hours or longer (c-statistic = 0.92), and acute renal failure (c-statistic = 0.92). Among patients undergoing emergency laparotomy, the c-statistic performances of POTTER in predicting mortality and morbidity were 0.86 and 0.77, respectively. Conclusions POTTER is an interpretable, accurate, and user-friendly predictor of 30-day outcomes in patients undergoing EGS. POTTER could prove useful for bedside counseling of patients and their families and for benchmarking of EGS care.
Published: 2020

47. Response to the Comment on 'Opioids After Surgery in the United States Versus the Rest of the World: The International Patterns of Opioid Prescribing (iPOP) Multicenter Study'

Author: Haytham M.A. Kaafarani and Mohamad El Moheb
Subjects: medicine.medical_specialty, Pain, Postoperative, business.industry, MEDLINE, Opioid prescribing, United States, Analgesics, Opioid, Multicenter study, Emergency medicine, medicine, Humans, Surgery, Drug Overdose, Practice Patterns, Physicians', business, Rest (music)
Published: 2020

48. Sex differences in long-term outcomes after traumatic injury: A mediation analysis

Author: George Kasotakis, Christina Weed, Karen J. Brasel, Mohamad El Moheb, Adil H. Haider, George C. Velmahos, Ali Salim, Deepika Nehra, Juan P. Herrera-Escobar, Haytham M.A. Kaafarani, Molly P. Jarman, and Anju Ranjit
Subjects: Male, medicine.medical_specialty, business.industry, Female sex, General Medicine, Middle Aged, Trauma outcomes, Posttraumatic stress, Traumatic injury, Sex Factors, Risk Factors, Internal medicine, Extremity injury, Female patient, Outcome Assessment, Health Care, medicine, Long term outcomes, Humans, Wounds and Injuries, Surgery, Functional status, Female, Prospective Studies, business, Aged
Abstract: Background We sought to examine the association and potential mediators between sex and long-term trauma outcomes. Methods Moderately-to-severely injured patients admitted to 3 level-1 trauma centers were contacted between 6 and 12-months post-injury to assess for functional limitations, use of pain medications, and posttraumatic stress disorder (PTSD). Multivariable adjusted regression analyses were used to compare long-term outcomes by sex. Potential mediators of the relationship between sex and outcomes was explored using mediation analysis. Results 2607 patients were followed, of which 45% were female. Compared to male, female patients were more likely to have functional limitations (OR: 1.45; 95% CI: 1.31–1.60), take pain medications (OR: 1.17; 95% CI: 1.02–1.38), and screen positive for PTSD (OR: 1.60; 95% CI: 1.46–1.76) post-injury. Age, extremity injury, previous psychiatric illness, and pre-injury unemployment, partially mediated the effect of female sex on long-term outcomes. Conclusions There are significant sex differences in long-term trauma outcomes, which are partially driven by patient and injury-related factors.
Published: 2020

49. Comparison of outcomes in non-head injured trauma patients using pre-injury warfarin or direct oral anticoagulant therapy

Author: Brittany Bankhead-Kendall, Haytham M.A. Kaafarani, Ava Mokhtari, April E. Mendoza, David R. King, Peter J. Fagenholz, Noelle Saillant, George C. Velmahos, Inger B. Schipper, Pieta Krijnen, Jason Fawley, Mohamad El Moheb, Jonathan Parks, and Inge A van Erp
Subjects: Adult, medicine.medical_specialty, Blood transfusion, Traumatic brain injury, medicine.medical_treatment, Population, 03 medical and health sciences, Anticoagulation, 0302 clinical medicine, Trauma Centers, medicine, Humans, Prospective Studies, education, Prospective cohort study, General Environmental Science, Retrospective Studies, 030222 orthopedics, education.field_of_study, business.industry, Trauma center, Warfarin, Anticoagulants, 030208 emergency & critical care medicine, Retrospective cohort study, Trauma patients, medicine.disease, DOACs, Emergency medicine, Oral anticoagulant, General Earth and Planetary Sciences, business, medicine.drug
Abstract: Background: Patients on prehospital anticoagulation with warfarin or direct oral anticoagulants (DOACs) represent a vulnerable subset of the trauma population. While protocolized warfarin reversal is widely available and easily implemented, prehospital anticoagulation with DOAC is cost prohibitive with only a few reversal options. This study aims to compare hospital outcomes of non-head injured trauma patients taking pre-injury DOAC versus warfarin.Methods: A retrospective cohort study at a level 1 trauma center was performed. All adult trauma patients with pre-injury anticoagulation admitted between January 2015 and December 2018, were stratified into DOAC-using and warfarin-using groups. Patients were excluded if they had traumatic brain injury (TBI). Univariate and multivariable analyses were performed. Outcomes measures included inhospital mortality, blood transfusion requirements, ICU length of stay (LOS), hospital LOS and discharge disposition.Results: 374 non-TBI trauma patients on anticoagulation were identified, of which 134 were on DOACs and 240 on warfarin. Patients on DOACs had a higher ISS (9 [IQR, 9-10] vs. 9 [IQR, 5-9]; p
Published: 2020

50. Acute Kidney Injury in Critically-ill Patients With COVID-19: A Single-center Experience of 206 Consecutive Patients

Author: Kerry Breen, Apostolos Gaitanidis, April E. Mendoza, Jason Fawley, Carolijn Kapoen, John O. Hwabejire, Haytham M.A. Kaafarani, Peter J. Fagenholz, Leon Naar, Noelle Saillant, Majed El Hechi, George C. Velmahos, Brittany Bankhead-Kendall, Mathias A. Christensen, Osaid Alser, Jarone Lee, David R. King, Ava Mokhtari, Jonathan Parks, Casey M. Luckhurst, Kimberly Langeveld, Lydia R. Maurer, Hassan Mashbari, and Mohamad El Moheb
Subjects: Male, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Databases, Factual, Critical Illness, Pneumonia, Viral, Renal function, Comorbidity, Single Center, Hospitals, General, Kidney Function Tests, medicine, Prevalence, Humans, Hospital Mortality, Prospective Studies, Prospective cohort study, Pandemics, Aged, Critically ill, business.industry, Acute kidney injury, COVID-19, Acute Kidney Injury, Middle Aged, medicine.disease, Survival Analysis, Hospitalization, Pneumonia, Intensive Care Units, Emergency medicine, Surgery, Female, business, Coronavirus Infections, Boston
Published: 2020

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