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
AUTHORS (5)
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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