High-sensitivity troponin in the prognosis of patients hospitalized in intensive care for COVID-19: a Latin American longitudinal cohort study.

Abstract

Objective: The current study assessed the prevalence of troponin elevation and its capacity to predict 60day mortality in COVID-19 patients in intensive care.

Methods: A longitudinal prospective single-center study was performed on a cohort of patients in intensive care due to a COVID-19 diagnosis confirmed using real-time test polymerase chain reaction from May to December 2020. A Receiver Operating Characteristic curve was constructed to predict death according to troponin level by calculating the area under the curve and its confidence intervals. A Cox proportional hazards model was generated to report the hazard ratios with confidence intervals of 95% and the p value for its association with 60day mortality.

Results: A total of 296 patients were included with a 51% 60-day mortality rate. Troponin was positive in 39.9% (29.6% versus 49.7% in survivors and non-survivors, respectively). An area under the curve of 0.65 was found (95%CI: 0.59 - 0.71) to predict mortality. The Cox univariate model demonstrated a hazard ratio of 1.94 (95%CI: 1.41 - 2.67) and p < 0.001, but this relationship did not remain in the multivariate model, in which the hazard ratio was 1.387 (95%CI: 0.21 - 1.56) and the p value was 0.12.

Conclusion: Troponin elevation is frequently found in patients in intensive care for COVID-19. Although its levels are higher in patients who die, no relationship was found in a multivariate model, which indicates that troponin should not be used as an only prognostic marker for mortality in this population.