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Meta-Analysis
. 2020 Oct;92(10):1875-1883.
doi: 10.1002/jmv.26050. Epub 2020 Jul 11.

Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis

Wenjie Tian et al. J Med Virol. 2020 Oct.

Abstract

Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein, we performed a systematic review of published articles, from 1 January to 24 April 2020, to evaluate the risk factors associated with mortality in COVID-19. Two investigators independently searched the articles and collected the data, in accordance with PRISMA guidelines. We looked for associations between mortality and patient characteristics, comorbidities, and laboratory abnormalities. A total of 14 studies documenting the outcomes of 4659 patients were included. The presence of comorbidities such as hypertension (odds ratio [OR], 2.5; 95% confidence interval [CI], 2.1-3.1; P < .00001), coronary heart disease (OR, 3.8; 95% CI, 2.1-6.9; P < .00001), and diabetes (OR, 2.0; 95% CI, 1.7-2.3; P < .00001) were associated with significantly higher risk of death amongst patients with COVID-19. Those who died, compared with those who survived, differed on multiple biomarkers on admission including elevated levels of cardiac troponin (+44.2 ng/L, 95% CI, 19.0-69.4; P = .0006); C-reactive protein (+66.3 µg/mL, 95% CI, 46.7-85.9; P < .00001); interleukin-6 (+4.6 ng/mL, 95% CI, 3.6-5.6; P < .00001); D-dimer (+4.6 µg/mL, 95% CI, 2.8-6.4; P < .00001); creatinine (+15.3 µmol/L, 95% CI, 6.2-24.3; P = .001); and alanine transaminase (+5.7 U/L, 95% CI, 2.6-8.8; P = .0003); as well as decreased levels of albumin (-3.7 g/L, 95% CI, -5.3 to -2.1; P < .00001). Individuals with underlying cardiometabolic disease and that present with evidence for acute inflammation and end-organ damage are at higher risk of mortality due to COVID-19 infection and should be managed with greater intensity.

Keywords: COVID-19; cardiovascular disease; diabetes; meta-analysis.

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Conflict of interest statement

The authors confirm that there are no financial conflicts of interest.

Figures

Figure 1
Figure 1
Search and selection process according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) checklist
Figure 2
Figure 2
Key factors associated with an increased risk of COVID‐19 mortality. Forest plots demonstrating the association between COVID‐19 mortality and the presence of hypertension (A), and levels of troponin I (B), C‐reactive protein (C), and D‐dimer (D). Sizes of data markers indicate weight of studies. CI, confidence intervals; COVID‐19, coronavirus disease‐2019; df, degrees of freedom; IV, inverse variance

References

    1. Emami A, Javanmardi F, Pirbonyeh N, Akbari A. Prevalence of underlying diseases in hospitalized patients with COVID‐19: a systematic review and meta‐analysis. Arch Acad Emerg Med. 2020;8(1):e35. - PMC - PubMed
    1. Wang X, Fang X, Cai Z. Comorbid chronic diseases and acute organ injuries are strongly correlated with disease severity and mortality among COVID‐19 patients: a systemic review and meta‐analysis. Research (Wash D C). 2020;2020:2402961. 10.34133/2020/2402961 - DOI - PMC - PubMed
    1. Fu L, Wang B, Yuan T, et al. Clinical characteristics of coronavirus disease 2019 (COVID‐19) in China: a systematic review and meta‐analysis. J Infect. 2020;80(6):656‐665. - PMC - PubMed
    1. Hu Y, Sun J, Dai Z, et al. Prevalence and severity of corona virus disease 2019 (COVID‐19): a systematic review and meta‐analysis. J Clin Virol. 2020;127:104371. - PMC - PubMed
    1. Rodriguez‐Morales AJ, Cardona‐Ospina JA, Gutierrez‐Ocampo E, et al. Clinical, laboratory and imaging features of COVID‐19: a systematic review and meta‐analysis. Travel Med Infect Dis. 2020;34:101623. 10.1016/j.tmaid.2020.101623 - DOI - PMC - PubMed

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