Impact of cardiovascular disease and cardiac injury on in-hospital mortality in patients with COVID-19: A systematic review and meta-analysis

Xintao Li, Bo Guan, Tong Su, Wei Liu, Mengyao Chen, Khalid Bin Waleed, Xumin Guan, Tse Gary, Zhenyan Zhu

Research output: Contribution to journalArticlepeer-review

126 Citations (Scopus)

Abstract

Background Coronavirus disease 2019 (COVID-19) has produced a significant health burden worldwide, especially in patients with cardiovascular comorbidities. The aim of this systematic review and meta-analysis was to assess the impact of underlying cardiovascular comorbidities and acute cardiac injury on in-hospital mortality risk. Methods PubMed, Embase and Web of Science were searched for publications that reported the relationship of underlying cardiovascular disease (CVD), hypertension and myocardial injury with in-hospital fatal outcomes in patients with COVID-19. The ORs were extracted and pooled. Subgroup and sensitivity analyses were performed to explore the potential sources of heterogeneity. Results A total of 10 studies were enrolled in this meta-analysis, including eight studies for CVD, seven for hypertension and eight for acute cardiac injury. The presence of CVD and hypertension was associated with higher odds of in-hospital mortality (unadjusted OR 4.85, 95% CI 3.07 to 7.70; I 2 =29%; unadjusted OR 3.67, 95% CI 2.31 to 5.83; I 2 =57%, respectively). Acute cardiac injury was also associated with a higher unadjusted odds of 21.15 (95% CI 10.19 to 43.94; I 2 =71%). Conclusion COVID-19 patients with underlying cardiovascular comorbidities, including CVD and hypertension, may face a greater risk of fatal outcomes. Acute cardiac injury may act as a marker of mortality risk. Given the unadjusted results of our meta-analysis, future research are warranted.

Original languageEnglish
Pages (from-to)1142-1147
Number of pages6
JournalHeart
Volume106
Issue number15
DOIs
Publication statusPublished - 1 Aug 2020
Externally publishedYes

Keywords

  • cardiac risk factors and prevention
  • epidemiology
  • global health
  • meta-analysis

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