Meta-analysis of Cardiovascular Events and Related Biomarkers Comparing Survivors Versus Non-survivors in Patients With COVID-19

Shoar et al., 2020 | Am J Cardiol | Meta Analysis

Citation

Shoar Saeed, Hosseini Fatemeh, ... Mehta Jawahar L. Meta-analysis of Cardiovascular Events and Related Biomarkers Comparing Survivors Versus Non-survivors in Patients With COVID-19. Am J Cardiol. 2020-Nov-15;135:50-61. doi:10.1016/j.amjcard.2020.08.044

Abstract

Since the emergence of the coronavirus disease 19 (COVID-19), a number of studies have reported the presence of cardiovascular diseases in affected patients and linked them with a higher risk of mortality. We conducted an online search in Medline/PubMed to identify original cohorts comparing data between survivors and non-survivors from COVID-19. The presence of cardiovascular events and related biomarkers were compared between the 2 groups. Data on 1,845 hospitalized patients with COVID-19 were pooled from 12 comparative studies. The overall mortality rate in relation to COVID-19 was 17.6%. Men aged > 50 years old were more likely to die from COVID-19. Significant co-morbidities contributing to mortality were hypertension, diabetes mellitus, smoking, a previous history of cardiovascular disease including chronic heart failure, and cerebrovascular accidents. A significant relationship was observed between mortality and patient presentation with dyspnea, fatigue, tachycardia, and hypoxemia. Cardiovascular disease-related laboratory biomarkers related to mortality were elevated serum level of lactate dehydrogenase, creatine kinase, brain natriuretic peptide, and cardiac troponin I. Adverse cardiovascular disease-related clinical events preceding death were shock, arrhythmias, and acute myocardial injury. In conclusion, severe clinical presentation and elevated biomarkers in COVID-19 patients with established risk factors can predict mortality from cardiovascular causes.

Key Findings

In conclusion, severe clinical presentation and elevated biomarkers in COVID-19 patients with established risk factors can predict mortality from cardiovascular causes.

Outcomes Measured

  • Requires manual extraction

Population

Field Value
Population covid
Sample Size 19
Age Range See abstract
Condition hypertension

MeSH Terms

  • Age Factors
  • Aged
  • Biomarkers
  • COVID-19
  • Cardiovascular Diseases
  • Cause of Death
  • China
  • Comorbidity
  • Coronavirus Infections
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pandemics
  • Pneumonia, Viral
  • Sex Factors
  • Survival Analysis
  • Survivors
  • Troponin I

Evidence Classification

  • Level: Meta Analysis
  • Publication Types: Comparative Study, Journal Article, Meta-Analysis, Systematic Review
  • Vertical: creatine

Provenance


Source extracted via PubMed E-utilities API on 2026-04-09