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Abstract
The cardiovascular disease (CVD) risk prediction model has been developed based on information on CVD-free subjects, including age, hypertension, diabetes, cholesterol, and smoking status. A methodological review on whether the CVD risk prediction model is appropriate for diabetes patients is necessary. In general, the prediction model consists of three components-relative risk (RR), mean of risk factors, and survival rate. The prediction model would be useable if no differences in those components are found between the general population and diabetes patients. However, in our results, differences were found in the mean of risk factors and survival rate of CVD between the general population and diabetes patients, while no difference was found in RR. In other words, diabetes patients had a significantly increased mean of risk factors and decreased survival rates for CVD. Since the existing CVD risk prediction model for the general population is not applicable to diabetes patients, it is critical to develop a new model for them.
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