Key result
Adding cardiac troponin T and NT-proBNP to the ARIC HF model improved AUCs by 0.040 in women and 0.057 in men, enhancing heart failure risk prediction.
Why the study?
Does the addition of cTnT and NT-proBNP improve incident heart failure risk prediction in individuals without prevalent heart failure?
Population
9,868 participants without prevalent heart failure from the Atherosclerosis Risk in Communities (ARIC) study
Comparison
Addition of high-sensitivity cardiac troponin T… vs Standard risk prediction models
Design
Cohort
Follow-up
mean 10.4 years
Authors
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Supports integration of cTnT/NT-proBNP into HF risk models; extends observational associations but should not yet change practice.
Does the addition of cTnT and NT-proBNP improve incident heart failure risk prediction in individuals without prevalent heart failure?
The addition of high-sensitivity cTnT and NT-proBNP to basic demographic data provides an excellent and easily implementable model for predicting incident heart failure risk.
Nambi et al. (2013) studied this question. Adding cardiac troponin T and NT-proBNP to the ARIC HF model improved AUCs by 0.040 in women and 0.057 in men, enhancing heart failure risk prediction.
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