The CHA2DS2-VASc score and in-hospital mortality in patients with COVID-19: A multicenter retrospective cohort study

Turk Kardiyol Dern Ars. 2020 Oct;48(7):656-663. doi: 10.5543/tkda.2020.03488.

Abstract

Objective: Coronavirus disease 2019 (COVID-19) is an infectious disease that was first reported in December 2019 in Wuhan, China, and has since spread rapidly around the world, resulting in the ongoing COVID-19 pandemic. The CHA2DS2-VASc score is a well-validated risk stratification tool for predicting stroke in atrial fibrillation (AFib), as well as morbidity and mortality in several entities. The aim of this study was to evaluate the relationship between the CHA2DS2-VASc score and in-hospital mortality in patients with COVID-19, regardless of AFib.

Methods: This multicenter, retrospective study included a total of 349 patients with COVID-19 who were hospitalized between March 15 and April 15, 2020. The CHA2DS2-VASc score of each patient was calculated. Mortality outcomes were followed up until April 25, 2020.

Results: The CHA2DS2-VASc score was significantly higher in non-survivor COVID-19 patients than in survivor COVID-19 patients (p<0.001). Forward stepwise logistic regression analysis demonstrated that a CHA2DS2-VASc score of ≥3 (odds ratio [OR]: 12.613, 95% confidence interval [CI]: 3.092-51.451; p<0.001), and the leukocyte count (OR: 1.327, 95% CI: 1.145-1.538; p<0.001), C-reactive protein level (OR: 1.010, 95% CI: 1.002-1.018; p=0.012), and ferritin level (OR: 1.005, 95% CI: 1.003-1.007; p<0.001) on admission were independent predictors of in-hospital mortality of COVID-19 patients.

Conclusion: The CHA2DS2-VASc score predicted in-hospital mortality in patients with COVID-19, regardless of AFib.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • Atrial Fibrillation / epidemiology
  • Betacoronavirus
  • COVID-19
  • Coronavirus Infections / mortality*
  • Female
  • Hospitalization
  • Humans
  • Male
  • Middle Aged
  • Pandemics
  • Pneumonia, Viral / mortality*
  • Retrospective Studies
  • Risk Assessment
  • SARS-CoV-2
  • Stroke / epidemiology*