Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
Muhammad M Abdelghaffar, Dalia Omran, Ahmed Elgebaly, Eshak I Bahbah, Shimaa Afify, Mohamed Alsoda, Mohamed El-Shiekh, Enass S Elsayed, Soha S Shaaban, Samah Abdelhafez, Khaled Elkelany, Ayman A Eltayar, Omnia S Ali, Lamiaa Kamal, Ahmed M Heiba, Ahmad El Askary, Hend Ibrahim Shousha
PLOS ONE, doi:10.1371/journal.pone.0262348
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 COVID-19 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 had chronic renal insufficiency (9%). Non-survived patients were less likely to receive azithromycin (p <0.001), anticoagulants (p <0.001), and steroids (p <0.001). We found that age � 60 years old (OR = 2.82, 95% CI 2.05-3.86; p <0.0001), diabetes mellitus (
Supporting information S1
References
Boettler, Marjot, Newsome, Mondelli, Maticic et al., Impact of COVID-19 on the care of patients with liver disease: EASL-ESCMID position paper after 6 months of the pandemic, JHEP Rep,
doi:10.1016/j.jhepr.2020.100169
Cao, Li, Feng, Wan, Huang et al., Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARS-CoV-2) receptor ACE2 in different populations, Cell Discov,
doi:10.1038/s41421-020-0147-1
Chen, Klein, Garibaldi, Li, Wu et al., Aging in COVID-19: Vulnerability, immunity and intervention, Ageing Res Rev,
doi:10.1016/j.arr.2020.101205
Chen, Wu, Chen, Yang, Chen, Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study, BMJ,
doi:10.1136/bmj.m1091
Coperchini, Chiovato, Croce, Magri, Rotondi, The cytokine storm in COVID-19: An overview of the involvement of the chemokine/chemokine-receptor system, Cytokine Growth Factor Rev,
doi:10.1016/j.cytogfr.2020.05.003
Cuker, Peyvandi, Coronavirus disease 2019 (COVID-19): Hypercoagulability
Docherty, Harrison, Green, Hardwick, Pius et al., Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study, BMJ,
doi:10.1136/bmj.m1985
Fung, Yuen, Ye, Chan, Jin, A tug-of-war between severe acute respiratory syndrome coronavirus 2 and host antiviral defence: lessons from other pathogenic viruses, Emerg. Microbes Infect,
doi:10.1080/22221751.2020.1736644
Gebhard, Regitz-Zagrosek, Neuhauser, Morgan, Klein, Impact of sex and gender on COVID-19 outcomes in Europe, Biol Sex Differ,
doi:10.1186/s13293-020-00304-9
Griesbeck, Ziegler, Laffont, Smith, Chauveau et al., Sex differences in plasmacytoid dendritic cell levels of Irf5 drive higher Ifn-alpha production in women, J Immunol,
doi:10.4049/jimmunol.1501684
Guan, Ni, Hu, Liang, Ou et al., Clinical Characteristics of Coronavirus Disease 2019 in China, N Engl J Med,
doi:10.1056/NEJMoa2002032
Harrison, Fazio-Eynullayeva, Lane, Underhill, Lip, Comorbidities associated with mortality in 31,461 adults with COVID-19 in the United States: A federated electronic medical record analysis, PLoS Med,
doi:10.1371/journal.pmed.1003321
Hoffmann, Kleine-Weber, Schroeder, Kru ¨ger, Herrler et al., SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor, Cell,
doi:10.1016/j.cell.2020.02.052
Inciardi, Lupi, Zaccone, Italia, Raffo et al., Cardiac Involvement in a Patient With Coronavirus Disease 2019 (COVID-19), JAMA Cardiol,
doi:10.1001/jamacardio.2020.1096
Klein, Pekosz, Park, Ursin, Shapiro et al., Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population, J Clin Invest,
doi:10.1172/JCI142004
Kragholm, Andersen, Gerds, Butt, Østergaard et al., Association between male sex and outcomes of Coronavirus Disease 2019 (Covid-19)-a Danish nationwide, register-based study, Clin Infect Dis,
doi:10.1093/cid/ciaa924
Lim, Bae, Kwon, Nauck, COVID-19 and diabetes mellitus: from pathophysiology to clinical management, Nat Rev Endocrinol,
doi:10.1038/s41574-020-00435-4
Mcbane Rd 2nd, Roldan, Niven, Pruthi, Franco et al., Anticoagulation in COVID-19: A Systematic Review, Meta-analysis, and Rapid Guidance From Mayo Clinic, Mayo Clin Proc,
doi:10.1016/j.mayocp.2020.08.030
Middleton, Practical use of the Glasgow Coma Scale; a comprehensive narrative review of GCS methodology, Australas Emerg Nurs J,
doi:10.1016/j.aenj.2012.06.002
Nasiri, Haddadi, Tahvildari, Farsi, Arbabi et al., COVID-19 Clinical Characteristics, and Sex-Specific Risk of Mortality: Systematic Review and Meta-Analysis, Front Med,
doi:10.3389/fmed.2020.00459
O'driscoll, Dos Santos, Wang, Cummings, Azman et al., Age-specific mortality and immunity patterns of SARS-CoV-2, Nature,
doi:10.1038/s41586-020-2918-0
Onder, Rezza, Brusaferro, Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy, JAMA,
doi:10.1001/jama.2020.4683
Peckham, De Gruijter, Raine, Radziszewska, Ciurtin et al., Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission, Nat Commun,
doi:10.1038/s41467-020-19741-6
Petrilli, Jones, Yang, Rajagopalan, Donnell et al., Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study, BMJ,
doi:10.1136/bmj.m1966
Richardson, Hirsch, Narasimhan, Crawford, Mcginn et al., Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area, JAMA,
doi:10.1001/jama.2020.6775
Singh, Khan, Liver Disease in United States: A Multi-Center Research Network Study
Tiwari, Khatib, Dixit, Rathore, Melinkeri et al., Anticoagulation in COVID-19: An Update, J Crit Care Med (,
doi:10.2478/jccm-2020-0033
Verity, Okell, Dorigatti, Winskill, Whittaker et al., Estimates of the severity of coronavirus disease 2019: a model-based analysis, Lancet Infect Dis,
doi:10.1016/S1473-3099%2820%2930243-7
Von Elm, Altman, Egger, Pocock, Gøtzsche et al., The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies, Int J Surg,
doi:10.1016/j.ijsu.2014.07.013
Walker, Grint, Strongman, Eggo, Peppa et al., UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records, BMC Public Health,
doi:10.1186/s12889-021-10427-2
Williams, Mancia, Spiering, Rosei, Azizi et al., ESC Scientific Document Group. 2018 ESC/ESH Guidelines for the management of arterial hypertension, Eur Heart J,
doi:10.1093/eurheartj/ehy339
Worldometers, None
Wu, Mcgoogan, Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention, JAMA,
doi:10.1001/jama.2020.2648
Xie, Ma, Tang, Liu, Severe COVID-19: A Review of Recent Progress with a Look toward the future, Front Public Health,
doi:10.3389/fpubh.2020.00189
Yang, Zheng, Gou, Pu, Chen et al., Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis, Int J Infect Dis,
doi:10.1016/j.ijid.2020.03.017
Zhang, Wu, Li, Zhao, Wang, Cytokine release syndrome in severe COVID-19: interleukin-6 receptor antagonist tocilizumab may be the key to reduce mortality, Int J Antimicrob Agents,
doi:10.1016/j.ijantimicag.2020.105954
Zhang, Zhou, Zhu, Song, Feng et al., Immune phenotyping based on the neutrophil-tolymphocyte ratio and igg level predicts disease severity and outcome for patients with COVID-19, Front. Mol. Biosci,
doi:10.3389/fmolb.2020.00157