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Three-Point Correction Factor Improves Accuracy of Framingham Risk Score in Breast Cancer Survivors
Julia N Rickard1, Rebecca A G Christensen1, Jennifer S Williams2
1Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada.
The Canadian Journal of Cardiology
|April 10, 2026
Summary
Breast cancer survivors face a higher risk of cardiovascular disease (CVD). A simple 3-point correction factor added to the Framingham Risk Score significantly improves CVD event prediction in these women.
Area of Science:
- Cardiology
- Oncology
- Epidemiology
Background:
- Women with a history of breast cancer (BC) have a 2-6 times higher risk of death from cardiovascular disease (CVD) compared to those without BC.
- The Framingham Risk Score (FRS) estimates CVD risk but does not account for a prior cancer diagnosis.
Purpose of the Study:
- To assess if a BC history impacts the predictive accuracy of the FRS for CVD events.
- To determine if a modified FRS, using a correction factor, can improve CVD risk prediction in BC survivors.
Main Methods:
- Utilized the UK Biobank prospective cohort, including BC survivors and controls without BC history.
- Excluded participants with pre-existing CVD events before enrollment.
- Tracked composite CVD events over 10 years using primary care, hospital records, and death data with CVD ICD-10 codes.
Main Results:
- Included 4,808 BC survivors and 171,427 controls; BC survivors showed a >50% increased risk of CVD events (aHR=1.51).
- FRS predicted CVD in both groups, but less accurately in BC survivors (aHR 1.03 vs 1.06).
- A 3-point correction factor improved FRS predictive accuracy for BC survivors, adjusting the observed/expected ratio from 1.41 to 0.93.
Conclusions:
- The FRS significantly underestimates CVD risk in breast cancer survivors.
- A simple +3-point correction factor substantially enhances the predictive ability of the FRS for CVD events in BC survivors.
- This correction factor offers a practical tool for clinicians to better manage cardiovascular risk in this population.
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