Calculate Framingham Risk Score
Understanding the Framingham Risk Score
The Framingham Risk Score is a validated tool for estimating an individual's 10-year risk of developing cardiovascular disease (CVD). This evidence-based assessment incorporates multiple risk factors to provide a comprehensive cardiovascular risk evaluation.
Risk Categories
Low Risk (<10%), Intermediate Risk (10-20%), High Risk (>20%) for 10-year cardiovascular event probability.
Clinical Significance
Guides preventive strategies and treatment intensity for cardiovascular disease management.
Clinical Applications of Framingham Risk Score
Primary Prevention
Identifies individuals who may benefit from preventive interventions
Treatment Planning
Guides intensity of risk factor modification and preventive therapy
Risk Stratification
Helps categorize patients for appropriate preventive strategies
Latest Research on Framingham Risk Assessment
Validation Studies
Recent studies confirm the score's reliability across diverse populations with appropriate calibration.
Modern Applications
Integration with electronic health records has improved risk assessment workflow and patient care.
Population Impact
Implementation has led to improved cardiovascular outcomes through targeted interventions.
Risk Factors in Framingham Score
Demographics
Age and gender significantly influence cardiovascular risk assessment
Blood Pressure
Systolic blood pressure and treatment status are key determinants
Lipid Profile
Total and HDL cholesterol levels reflect atherosclerotic risk
Smoking Status
Current smoking significantly increases cardiovascular risk
Risk Categories and Recommendations
Low Risk (<10%)
Lifestyle modification and risk factor monitoring
Intermediate Risk (10-20%)
Consider preventive therapy and intensive lifestyle changes
High Risk (>20%)
Aggressive risk factor modification and preventive therapy
The Framingham Risk Score calculator is designed for healthcare professionals. Results should be interpreted alongside clinical judgment and other relevant patient factors. This tool may not be suitable for all populations and should be calibrated accordingly.