Key result
NT-proBNP and hs-cTnT improved cardiovascular risk prediction beyond traditional factors, with hs-cTnT increasing the c-statistic for CHD in women by 0.029 (95% CI 0.011-0.047).
Why the study?
The study was conducted to evaluate the sex-specific predictive value of NT-proBNP, hs-cTnT, and CK-MB for 10-year risk prediction of CHD, stroke, HF, and composite outcomes.
Do cardiac biomarkers (NT-proBNP, hs-cTnT, CK-MB) improve 10-year cardiovascular risk prediction beyond traditional risk factors in a sex-specific manner?
Cohort (n=5,430)
Do cardiac biomarkers (NT-proBNP, hs-cTnT, CK-MB) improve 10-year cardiovascular risk prediction beyond traditional risk factors in a sex-specific manner?
NT-proBNP and hs-cTnT provide sex-specific added predictive value for various cardiovascular outcomes above traditional risk factors.
Answers are grounded in this paper and cite their sources.
May enhance CV risk models in older adults; leaves open whether sex-specific use improves outcomes or warrants guideline changes.
AIMS: To evaluate the sex-specific predictive value of N-terminal pro B-type natriuretic peptide (NT-proBNP), high sensitivity cardiac troponin T (hs-cTnT) and creatine kinase myocardial band (CK-MB) for 10-year risk prediction of coronary heart disease (CHD), stroke, heart failure (HF) and composite outcomes. METHODS: Five-thousand four-hundred thirty individuals (mean age 68.6 years, 59.9% women) from the Rotterdam Study, with biomarker measurements between 1997 and 2001, were included. Participants were followed until 2015. We fitted 'basic' models using traditional cardiovascular risk factors. Improvements in c-statistics and net reclassification improvement (NRI) for events and non-events were calculated. RESULTS: During a median follow-up of 14 years, 747 (13.8%), 563 (10.4%), and 664 (12.2%) participants were diagnosed with CHD, stroke, and HF, respectively. NT-proBNP improved the discriminative performance of the 'basic' model for all endpoints (c-statistic improvements ranging from 0.007 to 0.050) and provided significant event-NRI for HF (14.3% in women; 10.7% in men) and for stroke in men (9.3%). The addition of hs-cTnT increased c-statistic for CHD in women by 0.029 (95% CI, 0.011-0.047) and for HF in men by 0.034 (95% CI, 0.014-0.053), and provided significant event-NRI for CHD (10.3%) and HF (7.8%) in women, and for stroke (8.4%) in men. The added predictive value of CK-MB was limited. CONCLUSION: NT-proBNP and hs-cTnT provided added predictive value for various cardiovascular outcomes above traditional risk factors. Sex differences were observed in the predictive performance of these biomarkers.
No takes yet. Share an insight, caveat, or question.
Zhu et al. (2022) conducted a cohort in Cardiovascular risk prediction (n=5,430). NT-proBNP, hs-cTnT, and CK-MB vs. Traditional cardiovascular risk factors ('basic' models) was evaluated on 10-year risk prediction of coronary heart disease (CHD), stroke, heart failure (HF) and composite outcomes (c-statistic increase 0.029, 95% CI 0.011-0.047). NT-proBNP and hs-cTnT improved cardiovascular risk prediction beyond traditional factors, with hs-cTnT increasing the c-statistic for CHD in women by 0.029 (95% CI 0.011-0.047).
Synapse has enriched 10 related papers. Consider them for comparative context: