Why the study?
The applicability of the AHA PREVENT equations to the Chinese population, particularly within specific age cohorts, remained unevaluated.
Does the AHA PREVENT equation accurately predict CVD risk in a middle-aged and elderly Chinese population?
Population
10,068 participants aged ≥ 45 years in China
Comparison
PREVENT equations vs China-PAR
Design
Retrospective cohort study
Key result
The PREVENT equations exhibited poor discrimination for predicting cardiovascular disease in a Chinese population, with an AUC of 0.61 in males and 0.62 in females, despite higher scores being significantly associated with increased CVD risk.
Authors
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Supports PREVENT evaluation for CVD risk stratification; hypothesis-generating and requires prospective validation before practice change.
Cohort (n=10,068)
Yes
Does the AHA PREVENT equation accurately predict CVD risk in a middle-aged and elderly Chinese population?
Odds Ratio: 1.05 (95% CI 1.04–1.07)
The AHA PREVENT equations exhibit reduced discrimination for CVD prediction in middle-aged and elderly Chinese individuals compared to US populations, suggesting the need for statistical recalibration before clinical application.
Fan et al. (2026) conducted a cohort in Cardiovascular disease (n=10,068). PREVENT equations was evaluated on Cardiovascular disease (CVD) events, including heart disease and stroke (OR 1.05, 95% CI 1.04-1.07). The PREVENT equations exhibited poor discrimination for predicting cardiovascular disease in a Chinese population, with an AUC of 0.61 in males and 0.62 in females, despite higher scores being significantly associated with increased CVD risk.