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Primary and subsequent coronary risk appraisal: new results from the Framingham study
R B D'Agostino1, M W Russell, D M Huse
1Department of Mathematics, College of Arts and Sciences, Boston University, MA 02215, USA. ralph@math.bu.edu
Insights
New Framingham Heart Study models identify coronary heart disease (CHD) risk factors for primary and secondary prevention. These updated cardiovascular disease risk assessments incorporate novel factors like alcohol use and menopausal status.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Coronary heart disease (CHD) is a leading cause of mortality globally.
- Accurate risk assessment is crucial for identifying individuals susceptible to CHD.
- The Framingham Heart Study has developed predictive models for CHD risk.
Purpose of the Study:
- To introduce novel sex-specific models for assessing coronary heart disease risk.
- To update cardiovascular disease risk appraisal with new predictive factors.
- To provide tools for both primary and secondary CHD prevention.
Main Methods:
- Development of sex-specific models for primary and subsequent coronary heart disease.
- Inclusion of risk factors such as triglyceride levels, alcohol use, and menopausal status in primary models.
- Identification of significant predictors including age, blood lipids, diabetes, systolic blood pressure, and smoking for subsequent CHD.
Main Results:
- New Framingham Heart Study models for primary and secondary CHD risk stratification have been developed.
- Primary CHD models incorporate triglyceride levels, alcohol use, and menopausal status.
- Subsequent CHD models identify age, blood lipids, diabetes, systolic blood pressure, and smoking as key predictors, particularly in women.
Conclusions:
- The new models enhance understanding of CHD risk factors in individuals with and without prior cardiovascular events.
- Blood lipid levels, diabetes, systolic blood pressure, and smoking are confirmed as critical independent predictors of CHD risk.
- These updated models offer improved tools for personalized cardiovascular disease risk management.
Background:
Coronary heart disease continues to be one of the most common chronic illnesses in the United States and most of the developed world. Clinicians and health authorities have interest in identifying individuals at increased risk of CHD. The Framingham Heart Study has over the years produced mathematical "health risk appraisal models" that relate risk factors to the probability of developing CHD.
Methods And Results:
New sex-specific models from The Framingham Heart Study for primary and secondary (subsequent) CHD have been produced. The primary CHD models are appropriate for assessing CHD risk in persons free of cardiovascular disease and contain risk factors such as triglyceride levels, alcohol use, and menopausal status, risk factors not included in previously published models. The subsequent CHD models are applicable for persons with a history of CHD or ischemic stroke who have survived the acute period after the event. Age, blood lipid levels (total cholesterol and HDL cholesterol), and diabetes status are significant for men and women. In addition, systolic blood pressure and cigarette smoking are significant predictors of subsequent CHD in women.
Conclusions:
These new models are useful tools for better understanding the relation between risk factors and the occurrences of CHD events in individuals who are free of cardiovascular disease as well as persons who have had a prior CHD event or stroke. With the development of these latter models, the importance of blood lipid levels, diabetes, and, in women, systolic blood pressure and cigarette smoking as independent predictors of risk is once again underscored.