Abstract 4145433: The Association of PREVENT-HF Risk Estimates with Subclinical (Stage B) HF and Clinical Implications for HF Risk: The Atherosclerosis Risk in Communities (ARIC) Study

Background: PREVENT-HF is a risk prediction tool recently developed by the AHA to estimate heart failure (HF) risk. The association of PREVENT-HF with measures of subclinical HF (stage B HF), and the clinical implications of subclinical HF measures within PREVENT-HF categories are undefined. Methods: We performed a prospective analysis of 2,716 ARIC participants <80 years of age without prevalent HF or atherosclerotic cardiovascular disease who attended Visit 5 (2011-2013). We grouped participants into PREVENT-HF 10-year risk categories (<7.5%; ≥ 7.5 to < 10%; ≥ 10 to < 15%; ≥ 15 to < 20%; and ≥ 20%). We identified stage B HF based on elevated cardiac biomarkers (N-terminal pro B-type natriuretic peptide ≥125 pg/mL or high sensitivity troponin T ≥22 ng/L for men and ≥14 ng/L for women) and/or abnormal cardiac function or structure on echocardiography (echo). We assessed the prevalence of subclinical HF within each PREVENT-HF category. We calculated HF incidence rates (IRs) within each PREVENT-HF category and assessed HF IRs for those with elevated cardiac biomarkers alone, abnormal echo alone, both abnormal or neither. Results: The mean age was 74 years, with 63% women and 22% Black adults and with 16%, 18%, 33%, 19% and 13% in PREVENT-HF 10-year risk categories of <7.5%; ≥ 7.5 to < 10%; ≥ 10 to < 15%; ≥ 15 to < 20%; and ≥ 20%, respectively. Higher PREVENT-HF estimated risk was associated with subclinical HF with the highest frequency of combination of both abnormal biomarkers + abnormal echo in 37% with PREVENT-HF ≥ 20%. Higher PREVENT-HF score was associated with a stepwise increase in HF IRs (Figure). Individuals with PREVENT-HF <10% had relatively low IRs for HF even in the presence of abnormal biomarkers + echo. In participants with higher PREVENT-HF scores, the presence of abnormal biomarkers + echo identified a subgroup at very high HF risk (IRs of 37 and 51 per 1000 person-years in those with PREVENT-HF ≥15 to < 20% and ≥20%, respectively), while the absence of abnormal biomarkers or echo identified a lower risk group. Conclusion: Stage B HF improves HF risk stratification in those with higher PREVENT-HF estimates but provides limited utility for absolute HF risk stratification in those with PREVENT-HF <10%.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4145433
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4145433: The Association of PREVENT-HF Risk Estimates with Subclinical (Stage B) HF and Clinical Implications for HF Risk: The Atherosclerosis Risk in Communities (ARIC) Study

Chiadi E. Ndumele, Elizabeth Selvin, Bige Özkan, Christie Mitchell Ballantyne et al.
1 links
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4145433: The Association of PREVENT-HF Risk Estimates with Subclinical (Stage B) HF and Clinical Implications for HF Risk: The Atherosclerosis Risk in Communities (ARIC) Study

Chiadi E. Ndumele, Elizabeth Selvin, Bige Özkan, Christie Mitchell Ballantyne, Jelani Grant, Vijay Nambi, Sadiya S. Khan, Roger S. Blumenthal, Sui Zhang, Amil Shah, Kuni Matsushita, Ambarish Pandey, Joe Coresh
article en

Abstract

Background: PREVENT-HF is a risk prediction tool recently developed by the AHA to estimate heart failure (HF) risk. The association of PREVENT-HF with measures of subclinical HF (stage B HF), and the clinical implications of subclinical HF measures within PREVENT-HF categories are undefined. Methods: We performed a prospective analysis of 2,716 ARIC participants <80 years of age without prevalent HF or atherosclerotic cardiovascular disease who attended Visit 5 (2011-2013). We grouped participants into PREVENT-HF 10-year risk categories (<7.5%; ≥ 7.5 to < 10%; ≥ 10 to < 15%; ≥ 15 to < 20%; and ≥ 20%). We identified stage B HF based on elevated cardiac biomarkers (N-terminal pro B-type natriuretic peptide ≥125 pg/mL or high sensitivity troponin T ≥22 ng/L for men and ≥14 ng/L for women) and/or abnormal cardiac function or structure on echocardiography (echo). We assessed the prevalence of subclinical HF within each PREVENT-HF category. We calculated HF incidence rates (IRs) within each PREVENT-HF category and assessed HF IRs for those with elevated cardiac biomarkers alone, abnormal echo alone, both abnormal or neither. Results: The mean age was 74 years, with 63% women and 22% Black adults and with 16%, 18%, 33%, 19% and 13% in PREVENT-HF 10-year risk categories of <7.5%; ≥ 7.5 to < 10%; ≥ 10 to < 15%; ≥ 15 to < 20%; and ≥ 20%, respectively. Higher PREVENT-HF estimated risk was associated with subclinical HF with the highest frequency of combination of both abnormal biomarkers + abnormal echo in 37% with PREVENT-HF ≥ 20%. Higher PREVENT-HF score was associated with a stepwise increase in HF IRs (Figure). Individuals with PREVENT-HF <10% had relatively low IRs for HF even in the presence of abnormal biomarkers + echo. In participants with higher PREVENT-HF scores, the presence of abnormal biomarkers + echo identified a subgroup at very high HF risk (IRs of 37 and 51 per 1000 person-years in those with PREVENT-HF ≥15 to < 20% and ≥20%, respectively), while the absence of abnormal biomarkers or echo identified a lower risk group. Conclusion: Stage B HF improves HF risk stratification in those with higher PREVENT-HF estimates but provides limited utility for absolute HF risk stratification in those with PREVENT-HF <10%.

CirculationVol. 150(Suppl_1)
Northwestern University (US), Johns Hopkins University (US), Baylor College of Medicine (US), Southwestern Medical Center (US), Johns Hopkins Hospital (US), New York University Langone Orthopedic Hospital (US), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US)
Good health and well-being
Openalex Percentile: Top 61%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.