Abstract 47: Calibration and Discrimination of PREVENT vs PCE in Hispanics/Latinos across Disaggregated Background Groups, Self-Reported Race, and Genetic Ancestry: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

P Priscilla Duran Luciano (Albert Einstein College of Medicine, Bronx, New York, United States) A Alejandro Araujo (Albert Einstein College of Medicine, Bronx, New York, United States) K Karen Flores Rosario (DUKE UNIVERSITY HOSPITAL, Durham, North Carolina, United States) Y Yawen Yuan M Maria Santos (Tulane University, New Orleans, Louisiana, United States) T Tamar Sofer P Pedro Engel Gonzalez (UT Southwestern Medical Center, Dallas, Texas, United States) D Daniela Sotres-Alvarez G Gregory Talavera (San Diego State University, Chula Vista, California, United States) R Robert Kaplan M Martha Daviglus L Linda Gallo (San Diego State University, San Diego, California, United States) A Amber Pirzada P Parag Joshi A Anurag Mehta A Amit Khera T Tali Elfassy C Carlos Rodriguez

Abstract

Background: Unlike the race-specific pooled cohort equations (PCE) for atherosclerotic cardiovascular disease (ASCVD) risk prediction, PREVENT is a race-neutral tool but Hispanics/Latinos were underrepresented in its derivation. We evaluated calibration/discrimination of PREVENT vs PCE in HCHS/SOL, a large and diverse population-based cohort of US Hispanics/Latinos. Methods: A total of 10,927 HCHS/SOL participants met PREVENT-ASCVD and 5,416 met PCE criteria, Figure 1 . Ten-year ASCVD risk (2008–2019) was estimated with base PREVENT-ASCVD and non-Hispanic Black (NHB), non-Hispanic White (NHW) PCEs. ASCVD (incident myocardial infarction and stroke) were adjudicated from medical records. Mean time to first ASCVD event was 9.6 years (177 events). Hispanic/Latino background groups and race were self-reported. Genetic ancestry proportions (European, African, Amerindian) were estimated using ADMIXTURE for 6,802 PREVENT and 3,329 PCE eligible participants, Figure 1 , and dichotomized by median. Observed ASCVD risk was estimated using Kaplan–Meier analysis. Calibration was evaluated by predicted-to-observed (P/O) ratios, and discrimination by Harrell’s C-statistics. All analyses accounted for complex survey design. Results: Among baseline ASCVD-free adults (mean age 47.4, 52.7% female), the observed 10-year ASCVD event rate was 1.6%. PREVENT predicted event rate was 3.4% (P/O 2.1). PCE had higher predicted event rate than PREVENT, regardless of race-specific equation used ( Figure 2, Table 1 ) . The PREVENT calibrated most closely among adults of Cuban and Dominican descent, while PCE-NHW showed slightly better calibration among Puerto Ricans. PREVENT outperformed PCE across all self-reported race categories except among self-reported Black participants where calibration was paradoxically closer with NHW PCE. Across genetic ancestry, PREVENT performed best with lower African ancestry, whereas NHB and NHW PCEs performed best with lower European ancestry. PREVENT and PCE had higher overestimation among Hispanics/Latino adults with greater Amerindian ancestry. PREVENT discrimination was moderate-to-high overall (C-statistic 0.78–0.89), Table 1. Conclusions: PREVENT improved ASCVD risk prediction vs PCE across Hispanic/Latino backgrounds and most race categories, except self-reported Black participants. Both equations overestimated risk among Hispanics/Latinos with higher Amerindian ancestry. ASCVD risk prediction equations may not apply uniformly across Hispanic/Latino populations.

Article Details

Journal Circulation
Volume / Issue Vol. 153, Issue Suppl_1
Published March 24, 2026
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (18)

P

Priscilla Duran Luciano

Albert Einstein College of Medicine, Bronx, New York, United States

A

Alejandro Araujo

Albert Einstein College of Medicine, Bronx, New York, United States

K

Karen Flores Rosario

DUKE UNIVERSITY HOSPITAL, Durham, North Carolina, United States

Y

Yawen Yuan

M

Maria Santos

Tulane University, New Orleans, Louisiana, United States

T

Tamar Sofer

P

Pedro Engel Gonzalez

UT Southwestern Medical Center, Dallas, Texas, United States

D

Daniela Sotres-Alvarez

G

Gregory Talavera

San Diego State University, Chula Vista, California, United States

R

Robert Kaplan

M

Martha Daviglus

L

Linda Gallo

San Diego State University, San Diego, California, United States

A

Amber Pirzada

P

Parag Joshi

A

Anurag Mehta

A

Amit Khera

T

Tali Elfassy

C

Carlos Rodriguez