key: cord-0989450-e7ntocgf authors: Lu, Lvliang; Zhong, Wenyu; Bian, Ziwei; Li, Zhiming; Zhang, Ke; Liang, Boxuan; Zhong, Yizhou; Hu, Manjiang; Lin, Li; Liu, Jun; Lin, Xi; Huang, Yuji; Jiang, Junying; Yang, Xingfen; Zhang, Xin; Huang, Zhenlie title: A Comparison of Mortality-related Risk Factors of COVID-19, SARS, and MERS: A Systematic Review and Meta-analysis date: 2020-07-04 journal: J Infect DOI: 10.1016/j.jinf.2020.07.002 sha: 3e1fcb792dc3840b48e1d7e4f4920f07653bfde2 doc_id: 989450 cord_uid: e7ntocgf Objective: Coronavirus Disease 2019 (COVID-19) is a pandemic. This systematic review compares mortality risk factors including clinical, demographic and laboratory features of COVID-19, Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). The aim is to provide new strategies for COVID-19 prevention and treatment. Methods: We performed a systematic review with meta-analysis, using five databases to compare the predictors of death for COVID-19, SARS and MERS. A random-effects model meta-analysis calculated odds ratios (OR) and 95% confidence intervals (95% CI). Results: 845 articles up through 11/4/2020 were retrieved, but only 28 studies were included in this meta-analysis. The results showed that males had a higher likelihood of death than females (OR = 1.82, 95% CI 1.56-2.13). Age (OR = 7.86, 95% CI 5.46-11.29), diabetes comorbidity (OR = 3.73, 95% CI 2.35-5.90), chronic lung disease (OR = 3.43, 95% CI 1.80-6.52) and hypertension (OR = 3.38, 95% CI 2.45-4.67) were the mortality risk factors. The laboratory indicators lactic dehydrogenase (OR = 37.52, 95% CI 24.68-57.03), C-reactive protein (OR = 12.11, 95% CI 5.24-27.98), and neutrophils (OR = 17.56, 95% CI 10.67-28.90) had stronger correlations with COVID-19 mortality than with SARS or MERS mortality. Consolidation and ground-glass opacity imaging features were similar among COVID-19, SARS, and MERS patients. Conclusions: COVID-19’s mortality factors are similar to those of SARS and MERS. Age and laboratory indicators could be effective predictors of COVID-19 mortality outcomes. Methods: We performed a systematic review with meta-analysis, using five 35 databases to compare the predictors of death for COVID-19, SARS and MERS. 36 A random-effects model meta-analysis calculated odds ratios (OR) and 95% 37 confidence intervals (95% CI). Results: 845 articles up through 11/4/2020 were retrieved, but only 28 studies 39 were included in this meta-analysis. The results showed that males had a higher 40 likelihood of death than females (OR = 1.82, 95% CI 1.56-2.13). Age (OR = 41 7.86, 95% CI 5.46-11.29), diabetes comorbidity (OR = 3.73, 95% CI 2.35-5.90), 42 chronic lung disease (OR = 3.43, 95% CI 1.80-6.52) and hypertension (OR = The authors declare having no conflict of interest related to this work. Emerging understandings of 2019-nCoV Coronavirus disease 2019 (COVID-19) situation Genomic characterisation and epidemiology of 427 2019 novel coronavirus: implications for virus origins and receptor binding Origin and evolution of pathogenic coronaviruses COVID-19, SARS and MERS Are They Closely Related? Online ahead of print Receptor recognition by the novel 435 coronavirus from Wuhan: an analysis based on decade-long structural 436 studies of SARS coronavirus Cochrane Handbook for Systematic 438 Reviews of Interventions version 6 Available from www.training.cochrane.org/handbook Preferred Reporting Items for 441 Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 442 statement The Newcastle-Ottawa Scale (NOS) for assessing the quality of 444 nonrandomised studies in meta-445 analyses Metan: fixed-and random-448 effects meta-analysis Metaprop: a Stata command to perform 450 meta-analysis of binomial data Bias in meta-analysis 452 detected by a simple, graphical test Trim and fill: A simple funnel-plot-based method of 454 testing and adjusting for publication bias in meta-analysis Clinical course and risk factors for mortality of 457 adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort 458 study Clinical characteristics of 113 deceased 460 patients with coronavirus disease 2019: retrospective study Abnormal coagulation parameters are 463 associated with poor prognosis in patients with novel coronavirus 464 pneumonia Association of radiologic findings with 466 mortality of patients infected with 2019 novel coronavirus in Wuhan Baseline characteristics and 469 outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of 470 the Lombardy region, Italy Clinical features and short-term outcomes of 472 102 patients with corona virus disease Comorbidity and its impact on 1590 475 patients with COVID-19 in China: a nationwide analysis Clinical predictors of mortality due to 478 COVID-19 based on an analysis of data of 150 patients from Wuhan Intensive Care Med Mortality rate of infection with COVID-19 in Korea from the 481 perspective of underlying disease CDC COVID-19 Response Team. Severe outcomes among patients with 484 COVID-19) -United States Plasma glucose levels and diabetes are 487 independent predictors for mortality and morbidity in patients with SARS Prognostication in severe acute respiratory 490 syndrome: a retrospective time-course analysis of 1312 laboratory-491 confirmed patients in Hong Kong Treatment of severe acute respiratory 493 syndrome with glucosteroids: the Guangzhou experience Severe acute respiratory syndrome: 496 prognostic implications of chest radiographic findings in 52 Patients Critically ill patients with severe 499 acute respiratory syndrome Corticosteroid treatment of severe acute 501 respiratory syndrome in Hong Kong Analysis of prognosis-related factors in critical 503 SARS Retrospective case study of death of 19 505 SARS patients Dynamic changes and significance of subsets of 507 blood lymphocyte in 206 patients severe acute respiratory syndrome 508 patients Study of immunological function in severe 510 acute respiratory syndrome Effect of co-existing illness on prognosis of 512 severe acute respiratory syndrome Discussion on clinical signification of 514 cytokine in severe acute respiratory syndrome Critically ill patients with the 517 Middle East respiratory syndrome: a multicenter retrospective cohort study Spatial modelling of contribution of 520 individual level risk factors for mortality from Middle East respiratory 521 syndrome coronavirus in the Arabian Peninsula Treatment outcomes for 524 patients with Middle Eastern Respiratory Syndrome Coronavirus CoV) infection at a coronavirus referral center in the Kingdom of Saudi 526 A comparative study of clinical 528 presentation and risk factors for adverse outcome in patients hospitalised 529 with acute respiratory disease due to MERS coronavirus or other causes Epidemiological, 532 demographic, and clinical characteristics of 47 cases of Middle East 533 respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive 534 study Predictors of mortality 536 in Middle East Respiratory Syndrome (MERS) Vaccine designers take first shots at COVID-19 Exacerbated innate host 541 response to SARS-CoV in aged non-human primates The immunopathogenesis of sepsis in 544 elderly patients Aging promotes neutrophil-546 induced mortality by augmenting IL-17 production during viral infection Association between 549 maturation and aging and pulmonary responses in animal models of lung 550 injury: a systematic review The 2019-new coronavirus 552 epidemic: evidence for virus evolution COVID-19 and diabetes: 554 knowledge in progress Hypertension, the renin-556 angiotensin system, and the risk of lower respiratory tract infections and 557 lung injury: implications for COVID-19 ACE-2 expression in the small airway 560 epithelia of smokers and COPD patients: implications for COVID-19 Targeting Potential Drivers of COVID-563 19: Neutrophil Extracellular Traps Level of IL-6 predicts respiratory 565 failure in hospitalized symptomatic COVID-19 patients The potential role of IL-6 in monitoring 568 severe case of coronavirus disease 2019 Dysregulation of immune response in patients 571 with COVID-19 in Wuhan, China. Clin Infect Dis Characteristics of and important lessons from the 574 COVID-19) outbreak in China: summary of a 575 report of 72314 cases from the Chinese Center for Disease Control and 576 Prevention SARS: clinical features and diagnosis Who Mers-Cov Research Group. State of knowledge and data gaps of 580 Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in humans Chest radiograph scores as potential 583 prognostic indicators in Severe Acute Respiratory Syndrome (SARS) Radiographic-clinical correlation in 586 severe acute respiratory syndrome: study of 1373 patients in Hong Kong Acute Middle East respiratory 589 syndrome coronavirus: temporal lung changes observed on the chest 590 radiographs of 55 patients