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
Abstract Body (Do not enter title and authors here): 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%.
Grant, Jelani
(
Johns Hopkins Hospital
, Parkville , Maryland , United States )
Zhang, Sui
(
Johns Hopkins University
, Baltimore , Maryland , United States )
Khan, Sadiya
(
Northwestern University
, Oak Park , Illinois , United States )
Ozkan, Bige
(
Johns Hopkins University
, Baltimore , Maryland , United States )
Nambi, Vijay
(
BAYLOR COLLEGE MEDICINE
, Houston , Texas , United States )
Pandey, Ambarish
(
UTSW MEDICAL CENTER
, Dallas , Texas , United States )
Blumenthal, Roger
(
Roger Blumenthal
, Baltimore , Maryland , United States )
Ballantyne, Christie
(
BAYLOR COLLEGE MEDICINE
, Houston , Texas , United States )
Selvin, Elizabeth
(
JOHNS HOPKINS UNIVERSITY
, Baltimore , Maryland , United States )
Matsushita, Kuni
(
JOHNS HOPKINS UNIVERSITY
, Baltimore , Maryland , United States )
Shah, Amil
(
UT Southwestern Medical Center
, Dallas , Texas , United States )
Coresh, Joe
(
NYU Langone Hospital
, New York , New York , United States )
Ndumele, Chiadi
(
JOHNS HOPKINS HOSPITAL
, Baltimore , Maryland , United States )
Author Disclosures:
Jelani Grant:DO NOT have relevant financial relationships
| Kunihiro Matsushita:DO have relevant financial relationships
;
Consultant:RhythmX AI:Past (completed)
; Other (please indicate in the box next to the company name):Fukuda Denshi:Past (completed)
| Amil Shah:DO have relevant financial relationships
;
Advisor:Philips Ultrasound:Past (completed)
; Advisor:Janssen:Past (completed)
| Joe Coresh:DO have relevant financial relationships
;
Advisor:Somalogic:Active (exists now)
; Individual Stocks/Stock Options:Healthy.io:Active (exists now)
; Advisor:Healthy.io:Active (exists now)
| Chiadi Ndumele:DO NOT have relevant financial relationships
| Sui Zhang:DO NOT have relevant financial relationships
| Sadiya Khan:DO NOT have relevant financial relationships
| Bige Ozkan:DO NOT have relevant financial relationships
| VIJAY NAMBI:DO have relevant financial relationships
;
Researcher:Abbott Labs:Past (completed)
; Individual Stocks/Stock Options:Insera:Active (exists now)
; Researcher:Ionis:Active (exists now)
| Ambarish Pandey:DO have relevant financial relationships
;
Consultant:Tricog:Active (exists now)
; Consultant:Lilly:Active (exists now)
; Consultant:Edwards Lifesciences:Active (exists now)
; Consultant:Semler:Active (exists now)
; Consultant:Science37:Active (exists now)
; Research Funding (PI or named investigator):SCPharma:Active (exists now)
; Advisor:Medtronic:Active (exists now)
; Advisor:Axon:Active (exists now)
; Advisor:Bayer:Active (exists now)
; Research Funding (PI or named investigator):Ultromics:Active (exists now)
; Consultant:Novo Nordisk:Active (exists now)
; Consultant:Roche:Active (exists now)
| Roger Blumenthal:DO NOT have relevant financial relationships
| Christie Ballantyne:DO have relevant financial relationships
;
Independent Contractor:Abbott Diagnostic, Akcea, Amgen, Arrowhead, Ionis, Lilly, Merck, New Amsterdam, Novartis, Novo Nordisk:Active (exists now)
; Consultant:Abbott Diagnostic, Amgen, Arrowhead, Astra Zeneca, Denka Seiken, Eli Lilly, Esperion, Illumina, Ionis, Merck, New Amsterdam, Novartis, Novo Nordisk, Roche Diagnostic, TenSixteen Bio:Active (exists now)
| Elizabeth Selvin:DO NOT have relevant financial relationships