Background: The Pooled Cohort Equation (PCE), a central tool in preventive cardiology, was developed without representation of Hispanic/Latino adults, a diverse and heterogenous group. We leveraged HCHS/SOL, the largest population-based study of Hispanic/Latinos, to evaluate performance of the PCE, stratified by genetic ancestry, self-reported background group and race. Methods: We included 5416 participants aged 44–74 years without prior ASCVD, statin use, diabetes, or LDL-C ≥190 mg/dL. Ten-year atherosclerotic cardiovascular disease (ASCVD) risk (2008–2019) was calculated using race-specific (non-Hispanic Black NHB and non-Hispanic White NHW) PCEs, with ASCVD events (myocardial infarction and stroke) adjudicated using hospital records. Genetic ancestry (European, African, and Amerindian) was estimated using ADMIXTURE. Kaplan-Meier estimates determined observed ASCVD event probabilities. Calibration was assessed using predicted-to-observed (P/O) ratios and C-statistics provided model discrimination. All analyses were weighted and accounted for HCHS/SOL complex survey design. Results: Mean age (SE) was 53.6 (0.2) years, 53.2% were female. Over a 10-year mean follow-up, 1.5% developed ASCVD. Both PCEs overestimated risk (predicted: 6.9% NHB, 6.0% NHW), with P/O >1 across all Hispanic background groups (Table) . Miscalibration was most pronounced in Hispanics of Dominican background (P/O: 6.43 NHB, 5.11 NHW) and participants with greater-than-median Amerindian Ancestry (P/O: 6.89 NHB, 5.89 NHW). Calibration was more accurate among people who reported Black/African American race (P/O: 1.52 NHB, 1.24 NHW), and Puerto Rican background (P/O: 2.96 NHB, 2.49 NHW). Discrimination was moderate overall (C=0.70 NHB, 0.71 NHW), varied by Hispanic background (Table 1), and was highest among individuals with greater-than-median African Ancestry (0.77 NHB, 0.77 NHW) (Table) . Conclusions: While both the NHB and NHW PCEs overestimated ASCVD risk across all Hispanic background groups, calibration was more accurate in Hispanic/Latino individuals self-identified as Black, and discrimination was strongest with the NHW PCE. These findings highlight the need for more inclusive and tailored risk prediction tools in diverse populations.
Yuan et al. (Tue,) studied this question.