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Determinants of mortality of patients with COVID-19 in Wuhan, China: a case-control study

Jian Li1, Luyu Yang2, Qian Zeng3

  • 1Clinical Research Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Annals of Palliative Medicine
|April 25, 2021
PubMed

Insights

Older age, cerebrovascular disease, elevated white blood cell count, low platelet count, and abnormal liver enzymes (AST, CK-MB) are key predictors of COVID-19 mortality. These factors aid in early risk identification for optimal treatment strategies.

Area of Science:

  • Medical Research
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Coronavirus disease 2019 (COVID-19) presented a significant global healthcare challenge.
  • Understanding mortality predictors is crucial for managing the pandemic.

Purpose of the Study:

  • To identify independent predictors of mortality in COVID-19 patients.
  • To develop a nomogram for predicting COVID-19 patient mortality risk.

Main Methods:

  • A case-control study involving 96 deceased and 230 discharged COVID-19 patients.
  • Collection of demographic, epidemiological, clinical, and laboratory data upon admission.
  • Application of univariate and multivariate logistic regression analysis.

Main Results:

  • Independent predictors of mortality included age 60+ years, cerebrovascular disease, elevated white blood cell (WBC) count, low platelet count, elevated aspartate aminotransferase (AST), elevated cystatin C, elevated C-reactive protein (CRP), elevated creatine kinase isoenzymes (CK-MB), and elevated D-dimer.
  • A predictive nomogram demonstrated high discriminatory accuracy with a C-index of 0.903.

Conclusions:

  • Identified determinants can help stratify COVID-19 patients by mortality risk early in their disease course.
  • These findings can guide timely and optimal treatment decisions for high-risk individuals.
Abstract

Keywords:
Coronavirus disease 2019 (COVID-19)case control studydeterminantmortality

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