Application of biological age for cardiovascular risk prediction in a community-based Chinese cohort
A simple biological-age test could improve heart disease predictions for women, correcting outdated estimates that may have led to missed prevention opportunities.
This analysis of 226,406 Chinese adults followed a median of 7.4 years found that a larger gap between biological age and chronological age independently predicted higher CVD and all-cause mortality risk after full adjustment. Substituting biological age into the WHO non-laboratory CVD risk model did not improve discrimination but significantly improved calibration, especially for women who were previously over-estimated by 20.5%.
What the study was
- Study design
- Retrospective cohort study
- Population
- Chinese community adults aged 40-79 without baseline CVD (CHERRY cohort)
- Sample size
- 226406
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Beijing Da Xue Xue Bao Yi Xue Ban (Journal of Peking University Health Sciences)
Why it surfaced
Large well-powered cohort (n=226K) with long follow-up demonstrates that biological age integration into standard CVD risk tools improves model calibration, particularly correcting systematic overestimation in women. Practical implications for population-level cardiovascular screening.
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