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The Assessment of Framingham Risk Score and 10 Year CHD Risk according to Application of LDL Cholesterol or Total Cholesterol

LDL Cholesterol 또는 Total Cholesterol의 적용에 따른 Framingham Risk Score와 10년 내 심혈관질환 발생 위험도 평가

  • Kwon, Se Young (Department of Biomedical Laboratory Science, Daegu Health College) ;
  • Na, Young Ak (Department of Biomedical Laboratory Science, Daegu Health College)
  • 권세영 (대구보건대학교 임상병리과) ;
  • 나영악 (대구보건대학교 임상병리과)
  • Received : 2016.02.12
  • Accepted : 2016.03.21
  • Published : 2016.06.30

Abstract

Studies on assessment tools for predicting cardiovascular disease risk (CDR), along with the studies to prevent CDR have been consistently reported. The validity of the Framingham risk score (FRS), a commonly known tool, has been verified through the precedent studies. In this study, we examined the differences of FRS according to the application of categories of LDL cholesterol (LDL-C) or Total cholesterol (TC), and attempted to evaluate the agreement of 10 yr CHD risk judgment based on the above-mentioned application. Excluding those diagnosed as cardiovascular diseases, data on subjects (755 men and 775 women) from the 2011 Korean National Health and Nutrition Examination Survey were used. We found differences of FRS and 10 yr CHD risk depending on the application of categories of LDL cholesterol (LDL-C) or Total cholesterol (TC). FRS of TC points were higher than those of LDL-C in both men and women. In classification of low risk (<10%), intermediate risk (10~19%), and high risk (${\geq}20%$), there were disagreements for 106 men and 26 women. Women showed almost perfect agreement from Coefficient of Cohen's Kappa (0.718 in men, and 0.884 in women). In assessment of 10 yr CHD risk, R-squared value from regression including TC was higher than that of LDC-C in both men and women (0.972 vs 0.885). From this result, we can draw a conclusion that correlation coefficients of FRS and CHD risk including TC were higher than those of LDC-C, and women showed a greater degree of agreement than men.

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