Mohammad Haji Aghajani; Roxana Sadeghi; Reza Miri; Mohammad Parsa Mahjoob; Fatemeh Omidi; Fatemeh Nasiri-Afrapoli; Asma Pourhosseingoli; Niloufar Taherpour; Amirmohammad Toloui; Mohammad Sistanizad
Volume 10, Issue 1 , January 2022, , Pages 9-15
Abstract
Objective: To describe the levels of troponin I in COVID-19 patients and its role in the prediction of their inhospital mortality as a cardiac biomarker. Methods: The current retrospective cohort study was performed on the clinical records of 649 COVID-19-related hospitalized cases with at leat ...
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Objective: To describe the levels of troponin I in COVID-19 patients and its role in the prediction of their inhospital mortality as a cardiac biomarker. Methods: The current retrospective cohort study was performed on the clinical records of 649 COVID-19-related hospitalized cases with at leat one positive polymerase chain reaction (PCR) test in Tehran, Iran from February 2020 to early June 2020. The on admission troponin I level divided into two groups of ≤0.03ng/mL (normal) and >0.03ng/mL (abnormal). The adjusted COX-regression model was used to determine the relationship between the studied variables and patient’s in-hospital mortality. Results: In this study, the median age of subjects was 65 years (54.8% men) and 29.53% of them had abnormal troponin I levels. Besides, the in-hospital mortality rate among patients with abnormal troponin I levels was found to be 51.56%; whereas, patients with normal levels exhibited 18.82% mortality. Also, the multivariable analysis indicated that the risk of death among hospitalized COVID-19 patients displaying abnormal troponin I levels was 67% higher than those with normal troponin I levels (Hazard ratio=1.67, 95% confidence interval=1.08-2.56, p=0.019). Conclusion: It seems that troponin I is one of the important factors related to in-hospital mortality of COVID-19 patients. Next, due to the high prevalence of cardiac complications in these patients, it is highly suggested to monitor and control cardiac biomarkers along with other clinical factors upon the patient’s arrival at the hospital.
