Prediction of Coronary Heart Disease Risk in a General, Pre-Diabetic, and Diabetic Population During 10 Years of Follow-up: Accuracy of the Framingham, SCORE, and UKPDS Risk Functions

Reproducibility of results Blood Glucose Male Time Factors Receiver operating characteristic Coronary Disease Coronary risk 0302 clinical medicine Diabetes complications Risk Factors Multicenter Studies as Topic Multicenter studies as topic Middle aged Accuracy Risk assessment Original Research Coronary disease Fatality Middle Aged 3. Good health Massachusetts Calibration Female Human Adult Ischemic heart disease 610 Major clinical study Follow-up studies Rating scale Article Diabetes Complications Prediabetic State 03 medical and health sciences Population based case control study 616 Blood glucose Humans Great britain Aged Diabetic angiopathies Time factors Reproducibility of Results Diabetes mellitus, type 2 Follow up United Kingdom Outcome assessment Glucose tolerance test Risk factors Diabetes Mellitus, Type 2 Hyperglycemia Prediabetic state Non insulin dependent diabetes mellitus Controlled study Diabetic Angiopathies Follow-Up Studies
DOI: 10.2337/dc09-0745 Publication Date: 2009-10-29T16:49:49Z
ABSTRACT
To test the validity of Framingham, Systematic Coronary Risk Evaluation (SCORE), and UK Prospective Diabetes Study (UKPDS) risk function in prediction coronary heart disease (CHD) populations with normal glucose tolerance (NGT), intermediate hyperglycemia, type 2 diabetes.Calibration discrimination three models were tested using prospective data for 1,482 Caucasian men women, 50-75 years age, who participated Hoorn Study. All analyses stratified by status.During 10 follow-up, a total 197 CHD events, which 43 fatal, observed this population, highest percentage first events diabetic group. The Framingham UKPDS overestimated event all groups. Overall, had low to moderate discriminatory capacity. SCORE was best predictor fatal group NGT (area under receiver operating characteristic curve 0.79 [95% CI 0.70-0.87]), whereas performed better hyperglycemia (0.84 [0.74-0.94]) estimation risk. After exclusion known patients, higher ability diabetes.The use is likely overestimate an individual's absolute In prevention, application functions might be useful absence more valid tool.
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