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당뇨병 환자에서 심장병 예측 모형 개발의 필요성에 대한 고찰

Other Titles
 Review on Cardiovascular Disease Prediction Model in Diabetes Patients 
 정금지  ;  지선하 
 Journal of Korean Diabetes, Vol.16(1) : 6-10, 2015 
Journal Title
 Journal of Korean Diabetes 
Issue Date
Cardiovascular disease ; Diabetes mellitus ; Forecasting ; Cardiovascular disease ; Diabetes mellitus ; Forecasting
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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4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Jung, Keum Ji(정금지) ORCID logo https://orcid.org/0000-0003-4993-0666
Jee, Sun Ha(지선하) ORCID logo https://orcid.org/0000-0001-9519-3068
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