Myocardial injury in hospitalized patients with COVID-19 infection - Risk factors and outcomes

Orly Efros, Noam Barda, Eshcar Meisel, Avshalom Leibowitz, Alexander Fardman, Galia Rahav, Robert Klempfner, Ehud Grossman

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Myocardial injury in hospitalized patients is associated with poor prognosis. This study aimed to evaluate risk factors for myocardial injury in hospitalized patients with coronavirus disease 2019 (COVID-19) and its prognostic value. We retrieved all consecutive patients who were hospitalized in internal medicine departments in a tertiary medical center from February 9th, 2020 to August 28th with a diagnosis of COVID-19. A total of 559 adult patients were hospitalized in the Sheba Medical Center with a diagnosis of COVID-19, 320 (57.24%) of whom were tested for troponin levels within 24-hours of admission, and 91 (28.44%) had elevated levels. Predictors for elevated troponin levels were age (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.01-1.06), female sex (OR, 3.03; 95% CI 1.54-6.25), low systolic blood pressure (OR, 5.91; 95% CI 2.42-14.44) and increased creatinine level (OR, 2.88; 95% CI 1.44-5.73). The risk for death (hazard ratio [HR] 4.32, 95% CI 2.08-8.99) and a composite outcome of invasive ventilation support and death (HR 1.96, 95% CI 1.15-3.37) was significantly higher among patients who had elevated troponin levels. In conclusion, in hospitalized patients with COVID-19, elevated troponin levels are associated with poor prognosis. Hence, troponin levels may be used as an additional tool for risk stratification and a decision guide in patients hospitalized with COVID-19.

Original languageEnglish
Article numbere0247800
JournalPLoS ONE
Volume16
Issue number2 February
DOIs
StatePublished - Feb 2021
Externally publishedYes

Fingerprint

Dive into the research topics of 'Myocardial injury in hospitalized patients with COVID-19 infection - Risk factors and outcomes'. Together they form a unique fingerprint.

Cite this