Primary and subsequent coronary risk appraisal: New results from The Framingham Study

Citation
Rb. D'Agostino et al., Primary and subsequent coronary risk appraisal: New results from The Framingham Study, AM HEART J, 139(2), 2000, pp. 272-281
Citations number
27
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
Journal title
AMERICAN HEART JOURNAL
ISSN journal
00028703 → ACNP
Volume
139
Issue
2
Year of publication
2000
Part
1
Pages
272 - 281
Database
ISI
SICI code
0002-8703(200002)139:2<272:PASCRA>2.0.ZU;2-J
Abstract
Background Coronary heart disease continues to be one of the most common ch ronic illnesses in the United States and most of the developed world. Clini cians and health authorities have interest in identifying individuals at in creased risk of CHD. The Framingham Heart Study has over the years produced mathematical "health risk appraisal models" that relate risk factors to th e 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 cardi ovascular disease and contain risk factors such as triglyceride levels, alc ohol use, and menopausal status, risk factors nor included in previously pu blished 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, systo lic blood pressure and cigarette smoking are significant predictors of subs equent 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 individu als 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, t he importance of blood lipid levels, diabetes, and, in women, systolic bloo d pressure and cigarette smoking as independent predictors of risk is once again underscored.