articleTop 1% cited
Prediction of Coronary Heart Disease Using Risk Factor Categories
Circulation · 1998 · Vol. 97(18) · pp. 1837–1847
Peter W.F. Wilson✉(Boston University)Ralph B. D’Agostino(Boston University)Daniel Levy(Boston University)Albert M. Belanger(Boston University)Halit Silbershatz(Boston University)William B. Kannel(Boston University)
Abstract
Recommended guidelines of blood pressure, total cholesterol, and LDL cholesterol effectively predict CHD risk in a middle-aged white population sample. A simple coronary disease prediction algorithm was developed using categorical variables, which allows physicians to predict multivariate CHD risk in patients without overt CHD.
Diabetes, Cardiovascular Risks, and LipoproteinsLipoproteins and Cardiovascular HealthGenetic Associations and EpidemiologyMedicineBlood pressureCholesterolInternal medicineDiabetes mellitusRisk factorCohortPopulationCardiologyCoronary heart disease
MeSH terms
AdultAgedAlgorithmsBlood PressureCholesterolCoronary DiseaseDiabetes MellitusFemaleFollow-Up StudiesHumansLipidsCholesterol, LDLMaleMiddle AgedNational Health Programs
Funding
- National Institutes of Health
- National Heart, Lung, and Blood Institute
Citations
9,571
FWCI
58.59
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References
67
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