Introduction: The 2019 novel coronavirus disease (COVID-19) is a current pandemic. Cardiovascular manifestations of COVID-19 have been described in many studies; however, no studies have examined the prevalence and characterizations of cardiac arrhythmias among patients with COVID-19 infection. The aim of this meta-analysis was to examine the prevalence of cardiac arrhythmias among patients with COVID-19 infection.
Method: PubMed, Google Scholar, and ResearchGate databases were searched for relevant articles from inception until June 14, 2020. Inclusion criteria were: 1) Cohort studies or case series studies; 2) Study population included individuals with confirmed COVID-19 infection; 3) Arrhythmic events were reported in the study. All other studies were excluded. MedCalc software was used to analyze the pooled data. The random-effect model was utilized to obtain the prevalence of arrhythmia among the included patients and its 95% confidence interval. Cohran's Q and I2 index were used for heterogeneity measurements. The main planned outcome was the prevalence of arrhythmia among patients with COVID-19 infection.
Results: Thirteen studies with a total of 2861 patients met our inclusion criteria. The prevalence of arrhythmia among patients with COVID-19 infection was 8.1% (95% CI [6.10, 10.37]). 82.8% of the patients who had arrhythmia has severe illness (95% CI [70.916, 92.124]).
Conclusion: The prevalence of arrhythmias among patients with COVID-19 infection is 8.1%, which is much higher than in the general population (2.35%).