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Probability of stroke: a risk profile from the Framingham Study
P A Wolf1, R B D'Agostino, A J Belanger
1Department of Neurology, School of Medicine, Boston University, Mass.
Insights
A new stroke risk assessment tool uses Framingham Study data to predict stroke probability based on common health factors. This can help identify high-risk individuals and encourage lifestyle changes to reduce stroke incidence.
Area of Science:
- Cardiovascular Epidemiology
- Preventive Cardiology
- Biostatistics
Background:
- Stroke remains a leading cause of disability and death worldwide.
- Accurate risk prediction is crucial for implementing preventive strategies.
- Existing risk models may not capture the full spectrum of risk factors.
Purpose of the Study:
- To develop and validate a health risk appraisal function for stroke prediction.
- To identify key risk factors contributing to stroke incidence.
- To provide a tool for estimating individual stroke risk.
Main Methods:
- Utilized the Framingham Study cohort for analysis.
- Included risk factors such as age, blood pressure, diabetes, smoking, cardiovascular disease history, atrial fibrillation, and left ventricular hypertrophy.
- Employed the Cox proportional hazards model to compute stroke probabilities.
- Developed a point system for risk stratification based on sex.
Main Results:
- A comprehensive stroke risk profile was developed incorporating multiple established risk factors.
- Stroke probabilities were calculated for individuals based on their risk factor levels.
- The model demonstrated the ability to estimate stroke risk using readily available clinical data.
Conclusions:
- The developed health risk appraisal function provides a practical method for estimating stroke risk.
- Identifying individuals with elevated stroke risk can motivate risk factor modification.
- This tool can aid in the early detection of individuals at increased risk, including those with borderline risk factors, facilitating timely interventions.
Abstract:
A health risk appraisal function has been developed for the prediction of stroke using the Framingham Study cohort. The stroke risk factors included in the profile are age, systolic blood pressure, the use of antihypertensive therapy, diabetes mellitus, cigarette smoking, prior cardiovascular disease (coronary heart disease, cardiac failure, or intermittent claudication), atrial fibrillation, and left ventricular hypertrophy by electrocardiogram. Based on 472 stroke events occurring during 10 years' follow-up from biennial examinations 9 and 14, stroke probabilities were computed using the Cox proportional hazards model for each sex based on a point system. On the basis of the risk factors in the profile, which can be readily determined on routine physical examination in a physician's office, stroke risk can be estimated. An individual's risk can be related to the average risk of stroke for persons of the same age and sex. The information that one's risk of stroke is several times higher than average may provide the impetus for risk factor modification. It may also help to identify persons at substantially increased stroke risk resulting from borderline levels of multiple risk factors such as those with mild or borderline hypertension and facilitate multifactorial risk factor modification.