Jelani K. Grant MD, MHS , Sui Zhang MS , Sadiya S. Khan MD, MSc , Bige Ozkan MD, ScM , Vanessa Blumer MD , Vijay Nambi MD , Justin B. Echouffo-Tcheugui MD, PhD , Ambarish Pandey MD , Roger S. Blumenthal MD , Christie M. Ballantyne MD , Elizabeth Selvin PhD, MPH , Kunihiro Matsushita MD, PhD , Amil Shah MD, MPH , Josef Coresh MD, PhD , Chiadi E. Ndumele MD, PhD
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Ndumele MD, PhD","doi":"10.1016/j.jchf.2025.102659","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The association of PREVENT-HF (Predicting Risk of Cardiovascular Events–Heart Failure) risk estimates with preclinical heart failure (HF) and whether preclinical HF measures add to the predictive utility of PREVENT-HF remain undefined.</div></div><div><h3>Objectives</h3><div>The aims of this study were to evaluate the association between PREVENT-HF risk estimates and preclinical HF, to examine how preclinical HF measures correspond to absolute HF risk within PREVENT-HF categories, and to determine whether they provide predictive value beyond the PREVENT-HF score.</div></div><div><h3>Methods</h3><div>The authors performed a prospective analysis of 2,714 ARIC (Atherosclerosis Risk In Communities) Visit 5 participants <80 years of age, without baseline cardiovascular disease. Preclinical HF was defined by elevated cardiac biomarkers (N-terminal of pro-b-type natriuretic peptide ≥125 pg/mL or high-sensitivity cardiac troponin T ≥22 ng/L/≥14 ng/L in men/women) and/or abnormal echocardiographic findings. Within PREVENT-HF 10-year risk categories (<7.5%, ≥7.5% to <10%, ≥10% to <15%, ≥15% to <20%, and ≥20%), we assessed preclinical HF prevalence and compared 10-year HF incidence rates for those with and without preclinical HF. We assessed changes in predictive utility by adding preclinical HF measures to PREVENT-HF.</div></div><div><h3>Results</h3><div>The mean age was 74 years, with 63% women, and 22% Black adults. Higher PREVENT-HF risk was associated with higher preclinical HF prevalence, with the highest prevalence of combined elevated biomarkers plus abnormal echocardiograms (37%) in those with PREVENT-HF ≥20%. Over a median follow-up of 9.9 years, 262 HF events occurred. Within PREVENT-HF categories, preclinical HF measures were strongly associated with absolute HF risk: among those with PREVENT-HF ≥20%, HF incidence rates (per 1,000 person-years) were 9.5 with no preclinical HF and 51.5 with elevated biomarkers plus abnormal echocardiography. Adding cardiac biomarkers to PREVENT-HF improved risk discrimination (C statistic change 0.69 to 0.75; <em>P <</em> 0.001) and reclassification (categorical Net Reclassification Index: 0.17; 95% CI: 0.09-0.26), with modest further improvement from adding echocardiographic measures.</div></div><div><h3>Conclusions</h3><div>Preclinical HF measures indicate higher absolute HF risk within PREVENT-HF categories and enhance HF risk prediction.</div></div>","PeriodicalId":14687,"journal":{"name":"JACC. 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Preclinical HF was defined by elevated cardiac biomarkers (N-terminal of pro-b-type natriuretic peptide ≥125 pg/mL or high-sensitivity cardiac troponin T ≥22 ng/L/≥14 ng/L in men/women) and/or abnormal echocardiographic findings. Within PREVENT-HF 10-year risk categories (<7.5%, ≥7.5% to <10%, ≥10% to <15%, ≥15% to <20%, and ≥20%), we assessed preclinical HF prevalence and compared 10-year HF incidence rates for those with and without preclinical HF. We assessed changes in predictive utility by adding preclinical HF measures to PREVENT-HF.</div></div><div><h3>Results</h3><div>The mean age was 74 years, with 63% women, and 22% Black adults. Higher PREVENT-HF risk was associated with higher preclinical HF prevalence, with the highest prevalence of combined elevated biomarkers plus abnormal echocardiograms (37%) in those with PREVENT-HF ≥20%. Over a median follow-up of 9.9 years, 262 HF events occurred. Within PREVENT-HF categories, preclinical HF measures were strongly associated with absolute HF risk: among those with PREVENT-HF ≥20%, HF incidence rates (per 1,000 person-years) were 9.5 with no preclinical HF and 51.5 with elevated biomarkers plus abnormal echocardiography. Adding cardiac biomarkers to PREVENT-HF improved risk discrimination (C statistic change 0.69 to 0.75; <em>P <</em> 0.001) and reclassification (categorical Net Reclassification Index: 0.17; 95% CI: 0.09-0.26), with modest further improvement from adding echocardiographic measures.</div></div><div><h3>Conclusions</h3><div>Preclinical HF measures indicate higher absolute HF risk within PREVENT-HF categories and enhance HF risk prediction.</div></div>\",\"PeriodicalId\":14687,\"journal\":{\"name\":\"JACC. 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Predicted Risk, Preclinical Heart Failure Measures, and Incident Heart Failure
Background
The association of PREVENT-HF (Predicting Risk of Cardiovascular Events–Heart Failure) risk estimates with preclinical heart failure (HF) and whether preclinical HF measures add to the predictive utility of PREVENT-HF remain undefined.
Objectives
The aims of this study were to evaluate the association between PREVENT-HF risk estimates and preclinical HF, to examine how preclinical HF measures correspond to absolute HF risk within PREVENT-HF categories, and to determine whether they provide predictive value beyond the PREVENT-HF score.
Methods
The authors performed a prospective analysis of 2,714 ARIC (Atherosclerosis Risk In Communities) Visit 5 participants <80 years of age, without baseline cardiovascular disease. Preclinical HF was defined by elevated cardiac biomarkers (N-terminal of pro-b-type natriuretic peptide ≥125 pg/mL or high-sensitivity cardiac troponin T ≥22 ng/L/≥14 ng/L in men/women) and/or abnormal echocardiographic findings. Within PREVENT-HF 10-year risk categories (<7.5%, ≥7.5% to <10%, ≥10% to <15%, ≥15% to <20%, and ≥20%), we assessed preclinical HF prevalence and compared 10-year HF incidence rates for those with and without preclinical HF. We assessed changes in predictive utility by adding preclinical HF measures to PREVENT-HF.
Results
The mean age was 74 years, with 63% women, and 22% Black adults. Higher PREVENT-HF risk was associated with higher preclinical HF prevalence, with the highest prevalence of combined elevated biomarkers plus abnormal echocardiograms (37%) in those with PREVENT-HF ≥20%. Over a median follow-up of 9.9 years, 262 HF events occurred. Within PREVENT-HF categories, preclinical HF measures were strongly associated with absolute HF risk: among those with PREVENT-HF ≥20%, HF incidence rates (per 1,000 person-years) were 9.5 with no preclinical HF and 51.5 with elevated biomarkers plus abnormal echocardiography. Adding cardiac biomarkers to PREVENT-HF improved risk discrimination (C statistic change 0.69 to 0.75; P < 0.001) and reclassification (categorical Net Reclassification Index: 0.17; 95% CI: 0.09-0.26), with modest further improvement from adding echocardiographic measures.
Conclusions
Preclinical HF measures indicate higher absolute HF risk within PREVENT-HF categories and enhance HF risk prediction.
期刊介绍:
JACC: Heart Failure publishes crucial findings on the pathophysiology, diagnosis, treatment, and care of heart failure patients. The goal is to enhance understanding through timely scientific communication on disease, clinical trials, outcomes, and therapeutic advances. The Journal fosters interdisciplinary connections with neuroscience, pulmonary medicine, nephrology, electrophysiology, and surgery related to heart failure. It also covers articles on pharmacogenetics, biomarkers, and metabolomics.