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Updating the assessment of cardiac risk: beyond Framingham
William B Borden1, Michael H Davidson
1Division of Cardiology, Department of Medicine, Weill Medical College of Cornell University, New York, NY, USA.
Insights
The Framingham Heart Study identified key cardiovascular disease risk factors, leading to reduced mortality. Newer predictors enhance risk assessment, enabling better prevention strategies for cardiovascular disease.
Area of Science:
- Cardiology and Public Health
- Epidemiology of Cardiovascular Diseases
Background:
- Established cardiovascular risk factors from the Framingham Heart Study have significantly reduced cardiovascular morbidity and mortality.
- The Framingham risk score is a cornerstone of current clinical risk assessment for coronary heart disease.
- Emerging risk predictors offer potential for improved patient risk identification and stratification.
Purpose of the Study:
- To review novel cardiovascular risk predictors beyond traditional Framingham factors.
- To discuss the integration of new predictors into existing cardiovascular risk assessment frameworks.
- To highlight the development of population-specific risk-scoring systems.
Main Methods:
- Review of established and novel cardiovascular risk factors.
- Analysis of emerging predictors such as lipoprotein profiles, inflammatory markers (lipoprotein-associated phospholipase A2, C-reactive protein), glycemic control, liver function, and central obesity.
- Examination of vascular imaging techniques for risk assessment.
- Discussion of international risk-scoring systems derived from the Framingham model.
Main Results:
- Novel risk predictors, including advanced lipoprotein analysis, inflammatory markers, and metabolic assessments, can refine cardiovascular risk stratification.
- Vascular imaging provides additional valuable information for risk assessment.
- International adaptations of risk-scoring systems improve population-specific accuracy.
Conclusions:
- Newer risk predictors complement the Framingham framework, enhancing the ability to identify individuals at higher cardiovascular risk.
- Integration of these predictors allows for more precise risk definition and personalized prevention strategies.
- Optimized cardiovascular risk assessment using updated predictors can lead to effective minimization or avoidance of cardiovascular disease burden.
Abstract:
Identification of the widely accepted cardiovascular risk factors of age, sex, hypertension, hyperlipidemia, smoking, obesity, diabetes, and physical inactivity from the Framingham Heart Study have led to dramatic reductions in cardiovascular morbidity and mortality. The Framingham estimation of coronary heart disease remains the mainstay of clinical risk assessment. However, novel risk predictors present opportunities to identify more patients at risk and to more accurately define that risk. Such predictors include lipoprotein analysis, measurement of lipoprotein-associated phospholipase A(2) and C-reactive protein, and assessment of hyperglycemia, liver function, and central obesity. Vascular imaging can also provide useful risk information. Using Framingham as a basis, several international groups have developed risks-coring systems that more closely reflect their individual populations and the clinical practicalities of their countries. When used accordingly, the newer risk predictors build upon the Framingham framework to allow physicians and their patients to effectively minimize, or even avoid, the burden of cardiovascular disease.
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