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0 0.5 1 1.5 2+ Mortality 100% Improvement Relative Risk AbdelGhaffar et al. HCQ for COVID-19 LATE TREATMENT Favors HCQ Favors control
Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
AbdelGhaffar et al., PLOS ONE, doi:10.1371/journal.pone.0262348
AbdelGhaffar et al., Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter.., PLOS ONE, doi:10.1371/journal.pone.0262348
Jan 2022   Source   PDF  
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Retrospective 3,712 hospitalized patients in Egypt, showing lower mortality with HCQ treatment in unadjusted results. According to the official treatment protocol, HCQ was recommended with higher risk and/or more serious cases.
risk of death, 99.9% lower, RR 0.001, p < 0.001, treatment 0 of 238 (0.0%), control 900 of 3,474 (25.9%), NNT 3.9, relative risk is not 0 because of continuity correction due to zero events (with reciprocal of the contrasting arm).
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
AbdelGhaffar et al., 11 Jan 2022, retrospective, Egypt, peer-reviewed, 17 authors, study period April 2020 - July 2020.
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Abstract: PLOS ONE RESEARCH ARTICLE Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease2019: A multicenter retrospective study Muhammad M. AbdelGhaffar1,2, Dalia Omran ID2,3, Ahmed Elgebaly4, Eshak I. Bahbah4, Shimaa Afify5, Mohamed AlSoda2, Mohamed El-Shiekh6, Enass S. ElSayed7, Soha S. Shaaban8, Samah AbdelHafez1, Khaled Elkelany9, Ayman A. Eltayar10, Omnia S. Ali11, Lamiaa Kamal12, Ahmed M. Heiba1,13, Ahmad El Askary14, Hend Ibrahim Shousha ID3* a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 OPEN ACCESS Citation: AbdelGhaffar MM, Omran D, Elgebaly A, Bahbah EI, Afify S, AlSoda M, et al. (2022) Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study. PLoS ONE 17(1): e0262348. pone.0262348 Editor: Prasenjit Mitra, Post Graduate Institute of Medical Education and Research, INDIA Received: March 11, 2021 Accepted: December 22, 2021 Published: January 11, 2022 Copyright: © 2022 AbdelGhaffar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper. Funding: The authors acknowledge the support of Taif University Researchers Supporting Project number (TURSP-2020/82), Taif University, Taif, Saudi Arabia. 1 Gastroenterology & Infectious Diseases Department, Ahmed Maher Teaching Hospital, Cairo, Egypt, 2 General Organization for Teaching Hospitals and Institutes (GOTHI), Cairo, Egypt, 3 Endemic medicine department, Faculty of Medicine, Cairo University, Cairo, Egypt, 4 Faculty of Medicine, Al-Azhar University, Cairo, Egypt, 5 Gastroenterology Department, National Hepatology and Tropical medicine Research Institute, Cairo, Egypt, 6 Chest unit, Matareya Teaching Hospital, Cairo, Egypt, 7 Nephrology Department, Ahmed Maher Teaching Hospital, Cairo, Egypt, 8 Rheumatology department, El Matareya Educational Hospital, Cairo, Egypt, 9 Pediatric departement, Shebin Elkom Teaching Hospital, Shebin Elkom, Egypt, 10 Intensive care Department, Damanhour Teaching Hospital, Damanhour, Egypt, 11 Clinical and chemical pathology department, Ahmed Maher Teaching Hospital, Cairo, Egypt, 12 Clinical and chemical pathology department, Sahel General Hospital, Cairo, Egypt, 13 Internal Medicine Department, National Research Centre, Cairo, Egypt, 14 Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia * Abstract We aimed to assess the epidemiological, clinical, and laboratory characteristics associated with mortality among hospitalized Egyptian patients with COVID-19. A multicenter, retrospective study was conducted on all polymerase chain reaction (PCR)-confirmed COVID19 cases admitted through the period from April to July 2020. A generalized linear model was reconstructed with covariates based on predictor’s statistical significance and clinically relevance. The odds ratio (OR) was calculated by using stepwise logistic regression modeling. A total of 3712 hospitalized patients were included; of them, 900 deaths were recorded (24.2%). Compared to survived patients, non-survived patients were more likely to be older than 60 years (65.7%), males (53.6%) diabetic (37.6%), hypertensive (37.2%), and..
Late treatment
is less effective
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