troponin is a useful marker in clinical decision making in hospitalized patients with covid-19 infections

Background: covid-19 was introduced by the world health organization (who) as a global pandemic. the disease manifestations ranges from a mild common cold to severe disease and death. it has a higher mortality rate in people with a history of comorbidities, including cardiovascular disease (cvd) and can also contribute to cardiac injury. this study was conducted to evaluate the relationship between troponin levels as a cardiac marker and adverse outcomes in this disease. methods: the study sample included 438 patients hospitalized with covid-19; however, the troponin data of 6 patients were not available. the need to be admitted to the intensive care unit (icu), and death were considered the adverse outcome in patients with covid-19. troponin levels were checked in all patients on day 1 and day 3 of hospitalization. multiple logistic regression analysis was performed to determine whether there was an independent association between the adverse outcomes and troponin enzyme in hospitalized patients with covid-19. results: the mean age of patients was 61.29 ± 15.84 years. among the 432 patients tested on day 1 of hospitalization, 24 patients (5.6%) tested positive (troponin 1), and among the 303 patients tested on day 3, 13 patients (4.3%) tested positive (troponin 2). based on our results, troponin 1 showed an independent association with both death (3.008 [95%ci = 1.091-8.290]; p = 0.033) and need for icu admission (8.499 [95%ci = 3.316-21.788]; p < 0.001) in multiple logistic regression analysis. moreover, the status of troponin 2 had an independent significant association with both death (4.159 [95%ci = 1.156-14.961]; p = 0.029) and icu admission (7.796 [95%ci = 1.954-31.097]; p = 0.004). conclusion: troponin showed a significant association with adverse outcomes in people who were hospitalized with covid-19. the periodical assessment of this enzyme from the time of hospitalization may improve the clinical decision making of clinicians.