Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis

Changcheng Shi1, Limin Wang2, Jian Ye2

  • 1Department of Clinical Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Insights

Identifying COVID-19 mortality predictors is crucial for patient outcomes. Advanced age, male sex, comorbidities, dyspnea, and abnormal lab results are key risk factors for fatal outcomes in coronavirus disease 2019.

Area of Science:

  • Epidemiology
  • Clinical Medicine
  • Public Health

Background:

  • Coronavirus disease 2019 (COVID-19) presents a significant mortality risk, particularly in severe cases.
  • Understanding predictors of mortality is essential for effective clinical management.

Purpose of the Study:

  • To systematically review and meta-analyze potential predictors of mortality in patients diagnosed with COVID-19.

Main Methods:

  • Searched multiple databases (PubMed, EMBASE, Cochrane, Chinese databases) from December 2019 to April 2020.
  • Included 36 observational studies, with 27 selected for meta-analysis.
  • Pooled unadjusted prognostic estimates using random-effects models and analyzed adjusted estimates qualitatively.

Main Results:

  • Identified 106 potential risk factors, confirming advanced age, male sex, smoking, and comorbidities (kidney, respiratory, cardiovascular) as significant predictors.
  • Dyspnea, hospitalization complications, corticosteroid use, and severe condition were associated with increased mortality.
  • Abnormalities in hematologic, hepatorenal, inflammatory, coagulation, and cardiovascular biomarkers also correlated with fatal outcomes.

Conclusions:

  • Key predictors of COVID-19 mortality have been identified.
  • Findings can guide healthcare providers in implementing targeted interventions to improve patient outcomes.
Abstract

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