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

Department of Clinical Research, ScientificWriting Corporation, Houston, TX. Department of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. Department of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Department of Medicine (Cardiology), Central Arkansas Veterans Healthcare System, University of Arkansas for Medical Sciences, Little Rock, AR. Electronic address: arheartdoc@gmail.com.

The American journal of cardiology. 2020;:50-61

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.

Methodological quality

Publication Type : Comparative Study ; Meta-Analysis

Metadata

MeSH terms : Survivors ; Troponin I