Calculate Framingham Risk Score

Patient Demographics

Clinical Parameters

Risk Factors

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.