Validation and Recalibration of PCE, China-PAR, and PREVENT Models for Estimating ASCVD Risk in China

Key Result

In a Chinese cohort, PCE and China-PAR overestimated 10-year ASCVD risk, PREVENT underestimated it, but recalibration improved risk estimation accuracy.

Key Points

• This research aims to assess the accuracy of PCE, China-PAR, and PREVENT models in estimating ASCVD risk for a Chinese cohort.
• Analyzed a Chinese cohort's risk estimates using PCE, China-PAR, and PREVENT models.
• Recalibrated the models to improve their accuracy for local population risk estimation.
• Compared the 10-year ASCVD risk predictions from the models with actual data.
• PCE and China-PAR models overestimated the ASCVD risk by a significant margin.
• PREVENT model underestimated the ASCVD risk.
• Recalibration of the models improved their accuracy, leading to better risk stratification.