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JACC Heart Fail ; 8(5): 401-411, 2020 05.
Article in English | MEDLINE | ID: mdl-32171759

ABSTRACT

OBJECTIVES: The aims of this study were to characterize the association of high-sensitivity cardiac troponin I (hs-cTnI) with heart failure (HF), to determine its predictive value beyond classical cardiovascular risk factors (CVRFs) and N-terminal pro-B-type natriuretic peptide, and to derive a relevant cutoff for potential clinical application. BACKGROUND: HF is an important contributor to the overall burden of cardiovascular disease. Early identification of individuals at risk could be beneficial for preventive therapies. METHODS: Based on the Biomarker for Cardiovascular Risk Assessment in Europe consortium, we analyzed individual-level data from 4 prospective population-based cohort studies including 48,455 individuals. Participants with myocardial infarction, HF, and stroke at baseline were excluded. We investigated the value of adding hs-cTnI to CVRFs and N-terminal pro-B-type natriuretic peptide using Cox proportional hazards survival models and for prediction by calculating C-statistics and Brier score. RESULTS: The median age of the study population was 51 years, and the median follow-up time for occurrence of HF was 6.61 years. Cox regression models adjusted for age, sex, and CVRFs revealed a significant association of hs-cTnI with incident HF (hazard ratio: 1.42 per log [ng/l] unit change [95% confidence interval: 1.31 to 1.53]). The best predictive value was achieved in the model with CVRFs (base model) and both biomarkers (C-index = 0.862; 95% confidence interval: 0.841 to 0.882). Optimal hs-cTnI cutoff values of 2.6 ng/l for women and 4.2 ng/l for men were derived for selecting individuals at risk. CONCLUSIONS: In this large dataset from the general population, hs-cTnI could show its independence for the prognosis of HF.


Subject(s)
Heart Failure/blood , Risk Assessment/methods , Troponin I/blood , Adult , Biomarkers/blood , Europe/epidemiology , Female , Follow-Up Studies , Heart Failure/mortality , Humans , Male , Middle Aged , Prospective Studies , Survival Rate/trends , Time Factors
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