Background: The Pooled Cohort Equations (PCE) and Prediction for Atherosclerotic Cardiovascular Disease (ASCVD) Risk in China (China-PAR) models tend to overestimate risk, whereas the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations may underestimate risk in many contemporary cohorts.
Objectives: This study aimed to validate and determine if recalibration of these risk scores using contemporary population-level data improves risk stratification for primary prevention in China.
Methods: These risk scores were first validated and then recalibrated in the Kailuan study. Participants aged 40 to 79 years without ASCVD at baseline were included. Original and recalibrated models were assessed for discrimination and calibration.
Results: Of 79,497 participants, 4425 ASCVD events occurred over a median (IQR) follow-up of 10 (10-10) years. All three original models showed good discrimination in women (Harrell’s C-index: PCE 0.735 [95% CI: 0.712-0.757], China-PAR 0.738 [0.715-0.760], PREVENT 0.737 [0.713-0.759]) and moderate discrimination in men (PCE 0.675 [0.667-0.683], China-PAR 0.685 [0.677-0.693], PREVENT 0.685 [0.677-0.693]). Original models showed differential mean calibration in 10-year ASCVD risk estimation: PCE overestimated by 34.9% (men [95% CI: 32.8%-36.9%]) and 15.1% (women [6.8%-22.7%]); China-PAR by 17.7% (men [15.1%-20.2%]) and 48.2% (women [43.1%-52.8%]); PREVENT underestimated by 29.4% (men [25.4%-33.5%]) and 2.7% (women [-6.5%-12.8%]). After recalibrating to the local population, observed versus predicted risks exhibited improved alignment for the recalibrated models.
Conclusions: In this Chinese cohort, the original PCE and China-PAR overestimated 10-year ASCVD risk, whereas PREVENT underestimated it. Recalibration mitigated such misestimation in the local population, potentially enhancing risk stratification in primary cardiovascular prevention in China.
JACC: Asia Editor-in-Chief
Jian’an Wang, MD, PhD, FACC
CME Editor
Kenneth A. Ellenbogen, MD
Author
Ahmad M. Slim, MD, FACC
Important Dates
Date of Release: May 5, 2026
Term of Approval/Date of CME/MOC Expiration: May 4, 2027