Long-term predictive value of cardiac biomarkers in patients with COVID-19 infection

OBJECTIVE: Several studies have investigated the association between cardiac biomarkers and short-term prognosis in the COVID-19 infection. However, the data on the pre-dictive value of cardiac biomarkers to predict long-term prognosis in COVID-19 infection are limited. We aimed at determining the relationship between N-terminal brain-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin I (hs-TnI) as cardiac biomarkers and in-hospital/ long-term outcomes in COVID-19 infection.PATIENTS AND METHODS: The study included a total of 916 patients with confirmed COVID-19 infection. The primary outcome was in-hospital and 1-year mortality. The secondary outcome was intensive care need at admission or the need to be transferred to the intensive care unit later on.RESULTS: The study included 498 (54.4%) males and 418 (45.6%) females with a mean age of 55.1 & PLUSMN;18.5 years. The patients with known heart failure (HF), COVID-19-related HF, acute renal failure (ARF), chronic kidney disease (CKD), diabetes mellitus, hypertension, coronary artery dis-ease (CAD), chronic obstructive pulmonary dis-ease (COPD)/asthma, high CO-RADS score (& GE; 4), lower EF, higher hs-TnI, and NT-proBNP levels had increased in-hospital and 1-year mortality. After multivariate analysis, NT-proBNP, hs-TnI, CKD, ARF, diabetes mellitus, and CAD were independent predictors of in-hospital and 1-year mortali-ty. After ROC analysis, NT-proBNP cut-off levels of 1022.50 (sensitivity 87.5%, specificity 87.1%) and 1008 (sensitivity 88.6%, specificity 88.0%) were found to predict in-hospital and 1-year mortality, respectively. Hs-TnI cut-off levels of 49.6 (sensitivity 88.6%, specificity 88.9%) and 34.10 (sensitivity 83.8%, specificity 84.1%) were found to predict in-hospital and 1-year mortality, respectively.CONCLUSIONS: The current study suggests that NT-proBNP and hs-TnI can be used as valuable cardiac biomarkers to predict short-term and long-term parameters in COVID-19 infection.