Prognostic value of Cardiac Biomarkers in COVID-19 Infection: A Meta-analysis

Autor:	Desiree Dawson, Paari Dominic, Aakash Sheth, Malak Modi
Rok vydání:	2020
Předmět:	medicine.medical_specialty Coronavirus disease 2019 (COVID-19) biology business.industry Cardiac biomarkers Respiratory infection Odds ratio Troponin Article Confidence interval Disease severity Internal medicine Meta-analysis medicine biology.protein business
Zdroj:	Research Square article-version (status) pre article-version (number) 1
Popis:	BackgroundMultiple Biomarkers have recently been shown to be elevated in COVID-19, a respiratory infection with multi-organ dysfunction; however, information regarding the prognostic value of cardiac biomarkers as it relates to disease severity and cardiac injury are inconsistent.Research QuestionThe goal of this meta-analysis was to summarize the evidence regarding the prognostic relevance of cardiac biomarkers from data available in published reports.Study Design and MethodsPubMed was searched from inception through April 2020 for studies comparing median values of cardiac biomarkers in critically ill versus non-critically ill COVID-19 patients, or patients who died versus those who survived. The weighted mean differences (WMD) and 95% confidence interval (CI) between the groups were calculated for each study and combined using a random effects meta-analysis model. The odds ratio (OR) for mortality based on cardiac injury was combined from studies reporting it.ResultsTroponin levels were significantly higher in COVID-19 patients who died or were critically ill versus those who were alive or not critically ill (WMD 0.58, 95% CI 0.42-0.71, pInterpretationCardiac biomarkers add prognostic value to the determination of the severity of COVID-19 and can predict mortality.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dfd1eeb7593007912fca5f26acfafd7 https://doi.org/10.21203/rs.3.rs-34729/v1 Zobrazit plný text záznamu