3.8 Article

Cardiac Troponin-I and COVID-19: A Prognostic Tool for In-Hospital Mortality

Journal

CARDIOLOGY RESEARCH
Volume 11, Issue 6, Pages 398-404

Publisher

ELMER PRESS INC
DOI: 10.14740/cr1159

Keywords

SARS-CoV-2; COVID-19; Mortality; Troponin-I; Myocardial injury; Cardiovascular medicine

Funding

  1. HCA Healthcare

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Background: The number of fatalities due to coronavirus disease 2019 (COVID-19) is escalating with more than 800,000 deaths globally. The scientific community remains in urgent need of prognostic tools to determine the probability of survival in patients with COVID-19 and to determine the need for hospitalization. Methods: This is a retrospective cohort study of patients with a diagnosis of COVID-19 admitted to a tertiary center between March 2020 and July 2020. Patients age 18 years and older were stratified into two groups based on their troponin-I level in the first 24 h of admission (groups: elevated vs. normal). The aim of the study is to explore the utility of cardiac troponin-I level for early prognostication of patients with COVID-19. Results: This cohort of 257 patients included 122/257 (47%) women with a mean age of 63 +/- 17 years. Patients with an elevated troponin-I level were more likely to be older (77 +/- 13 vs. 58 +/- 16 years, P < 0.0001), have a history of hypertension (P < 0.0001), diabetes mellitus (P = 0.0019), atrial fibrillation or flutter (P = 0.0009), coronary artery disease (P < 0.0001), and chronic heart failure (P = 0.0011). Patients with an elevated troponin-I level in the first 24 h of admission were more likely to have higher in-hospital mortality (52% vs. 10%, P < 0.0001). Troponin-I level in the first 24 h of admission had a negative predictive value of 89.7% and a positive predictive value of 51.9% for all-cause in-hospital mortality. Conclusions: Troponin-I elevation is commonly seen in patients with COVID-19 and is significantly associated with fatal outcomes. How-ever, a normal troponin-I level in the first 24 h of admission had a high negative predictive value for all-cause in-hospital mortality, thereby predicting favorable survival at the time of discharge.

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