Arrhythmia in patients with severe coronavirus disease (COVID-19): a meta-analysis

W Wen1, H Zhang, M Zhou

  • 1Affiliated Hospital of Hangzhou Normal University, Hangzhou, China. wmw990556@163.com.

Insights

Patients with severe COVID-19 have a significantly higher risk of developing arrhythmia compared to those with non-severe illness. This meta-analysis highlights COVID-19 as a potential risk factor for arrhythmia, with incidence increasing with disease severity.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Epidemiology

Background:

  • Arrhythmia has been frequently associated with coronavirus disease (COVID-19).
  • However, a comprehensive meta-analysis investigating the link between arrhythmia and COVID-19 severity is lacking.

Purpose of the Study:

  • To evaluate the association between arrhythmia and COVID-19 severity.
  • To determine the pooled prevalence of arrhythmia in COVID-19 patients.

Main Methods:

  • A systematic literature search was conducted on PubMed, Embase, Web of Science, and the Cochrane Library for case-control studies published between January 1 and July 25, 2020.
  • A random effects model was employed to calculate the pooled odds ratio for arrhythmia in severe versus non-severe COVID-19 cases.
  • Publication bias and heterogeneity were assessed using subgroup analyses, meta-regression, and the trim and fill method.

Main Results:

  • The meta-analysis included 5 studies with a total of 1553 COVID-19 patients (22.47% severe, 77.53% non-severe).
  • The incidence of arrhythmia was significantly higher in severely ill patients (30.09%) compared to non-severely ill patients (2.82%).
  • Arrhythmia was strongly associated with severe COVID-19, with a pooled odds ratio of 17.97 (95% CI: 11.30-28.55, p<0.00001).

Conclusions:

  • The incidence of arrhythmia is significantly greater in patients with severe COVID-19 than in those with non-severe COVID-19.
  • COVID-19 may act as a risk factor for arrhythmia, with increased incidence correlating with disease progression.
  • This meta-analysis provides reliable evidence for further research into COVID-19-associated arrhythmia.
Abstract

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