As previously stated, individuals with type 2 diabetes are at increased CHD risk compared to the general population (24-26). It has been suggested that diabetic individuals with no CHD history have a similar risk of developing an acute myocardial infarction (MI) as nondiabetic individuals who have had a previous MI (27). Unfortunately, CHD prediction models such as Framingham risk equations (3) were not specifically designed for type 2 diabetic patients. These algorithms tend to underestimate CHD risk in individuals with type 2 diabetes (28). Moreover, these models do not consider diabetes-specific risk factors such as glycemic control and duration of diabetes. Accordingly, the UKPDS (6, 29) developed an equation for estimating the risk of new CHD events in men and women with type 2 diabetes. Unlike previous risk equations, the UKPDS risk model is diabetes-specific and incorporates glycemia.
The UKPDS cohort was composed of 4,540 patients with newly diagnosed type 2 diabetes. The inclusion criteria also encompassed fasting plasma glucose greater than 6 mmol/l and no previous history of MI, angina, or heart failure. The patients were recruited between 1977 and 1991 and underwent a follow-up of 10.7 years (median). In the model, CHD was defined as the incidence of fatal or non-fatal MI or sudden death. Baseline risk factors were age at diagnosis of diabetes, sex, ethnic group (Afro-Caribbean, Caucasian, or Asian-Indian), smoking status, HBA1c, systolic blood pressure, total cholesterol/HDL cholesterol ratio, and time since diagnosis of diabetes. For some variables, such as HBA1c, systolic blood pressure, and cholesterol/HDL cholesterol levels, year 1 and 2 measurements were averaged to improve model stability.

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