The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: A systematic review and meta-analysis

Kunihiro Matsushita, Ning Ding, Minghao Kou, Xiao Hu, Mengkun Chen, Yumin Gao, Yasuyuki Honda, Di Zhao, David Dowdy, Yejin Mok, Junichi Ishigami, Lawrence J. Appel

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Whether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex. Methods: We performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses. Results: Of the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >~5 in >60-65 versus <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR = 1.73, [95% CI 1.50-2.01]), hypertension (8 studies; 2.87 [2.09-3.93]), diabetes (9 studies; 3.20 [2.26-4.53]), and CVD (10 studies; 4.97 [3.76-6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ~2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19. Conclusions: Despite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be informative for predicting the risk of severe COVID-19.

Original languageEnglish (US)
Article number64
JournalGlobal Heart
Volume15
Issue number1
DOIs
StatePublished - 2020

Keywords

  • COVID-19
  • Cardiovascular disease
  • Meta-analysis
  • Risk factors

ASJC Scopus subject areas

  • Epidemiology
  • Community and Home Care
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: A systematic review and meta-analysis'. Together they form a unique fingerprint.

Cite this