General Cardiovascular Risk Profile for Use in Primary Care
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Key result
The sex-specific multivariable risk algorithm showed good discrimination for predicting first CVD events with C statistics of 0.763 for men and 0.793 for women.
Population
Adults aged 30 to 74 years free of cardiovascular disease at baseline from the Framingham Heart Study.
Design
Cohort
Follow-up
maximum 12 years
Authors
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Overview
Supports sex-specific general CVD risk prediction with office-based factors; extends event-specific models but leaves open validation in diverse cohorts.
Structured PICO
P
Population
Adults aged 30 to 74 years free of cardiovascular disease at baseline (mean age 49 years, 53% women) from the Framingham Heart Study.
O
Outcome
First cardiovascular disease (CVD) event (composite of coronary heart disease, cerebrovascular events, peripheral artery disease, and heart failure)composite
A single, sex-specific multivariable risk algorithm using traditional office-based risk factors can accurately predict the 10-year absolute risk of developing general cardiovascular disease and its individual components.
Limitations
- Potential limitation of the bootstrap resampling approach for assessing overoptimism
- Additional risk factors may be considered in future studies for inclusion in the models to further improve model discrimination
Cite This Study
D’Agostino et al. (2008) studied this question. The sex-specific multivariable risk algorithm showed good discrimination for predicting first CVD events with C statistics of 0.763 for men and 0.793 for women.
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