Diagnostics (Jan 2023)

Long COVID Syndrome and Cardiovascular Manifestations: A Systematic Review and Meta-Analysis

  • Abhigan Babu Shrestha,
  • Aashna Mehta,
  • Pashupati Pokharel,
  • Aakash Mishra,
  • Lukash Adhikari,
  • Sajina Shrestha,
  • Randhir Sagar Yadav,
  • Surakshya Khanal,
  • Ranjit Sah,
  • Behdin Nowrouzi-Kia,
  • Bijaya Kumar Padhi,
  • Vijay Kumar Chattu

DOI
https://doi.org/10.3390/diagnostics13030491
Journal volume & issue
Vol. 13, no. 3
p. 491

Abstract

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(1) Background: Long COVID syndrome is a significant cause of morbidity in COVID-19 patients who remain symptomatic with varied clinical presentations beyond three weeks. Furthermore, the relevance of considering cardiovascular outcomes in post-COVID-19 syndrome is important in the current COVID-19 pandemic; (2) Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for this systematic review and meta-analysis. Systematic searches were conducted from multiple databases without language restrictions until October 8, 2022, to find studies evaluating cardiovascular outcomes such as arrhythmias, myocardium and pericardium diseases, coronary vessel disease, and thromboembolic disorders in post-COVID cases. The pooled odds ratio (OR), and standard mean difference (SMD) with their corresponding 95% confidence intervals (CI) were computed to find the association; (3) Results: Altogether, seven studies with a total of 8,126,462 (cases: 1,321,305; controls: 6,805,157) participants were included in the meta-analysis. Pooled odds ratios of cardiovascular outcomes were significantly higher in post-COVID cases (OR > 1, p p = 0.13), and heart rate variability (SMD: −0.06, p = 0.91) between cases and controls were not statistically significant; (4) Conclusions: Significant cardiovascular sequelae in long COVID syndrome highlight the importance of careful cardiac monitoring of COVID-19 patients in the post-COVID phase to address cardiovascular complications as soon as possible; larger-scale prospective studies are required for accurate estimation.

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