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SCIE SCOPUS
인슐린 비의존형 당뇨병 환자에서 동맥경화증 지수들에 관한 비교연구
The clinical significance and relationship of atherosclerosis indices to macrovascular disease in NIDDM patients
이혁(Hyuck Lee), 백상현(Sang Hyun Baek), 감동호(Dong Ho Kam), 김상곤(Sang Gon Kim), 안원석(Sung Jin Bae), 배성진(Won Suk An), 강도영(Do Young Kang), 김영대(Duk Kyu Kim), 김덕규(Young Dae Kim), 김종성(Jong Seong Kim)
UCI I410-ECN-0102-2009-510-005470867
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Background: T-C/HDL-C has limited value to predict macrovascular complicatians in diabetes because the changes of cholesterol are not signifieant. Hypertriglyceridemia with low HDL-C has been supposed as a risk factor. We found previously that the plasma Lp(a) level was increased in NIDDM patients with the macrovascular disease. Therefore we hypothesized that the diabetic dyslipidemia index {DDI=(LDL-C+triglyceride)/ HDL-C+Lp(a)} may be related to the development of macrovascular complication in NIDDM more than other atherosclerosis indices. The aim of this study is to confirm this hypothesis. Methods: The subjects are 62 NIDDM patients which are classified as two groups. Group DM (n=31) is the NIDDM patients with macrovascular complications. The plasma level of TC,TG,HDL-C, LDL-C,Lp(a) is measured LDL-C/HDL-C, (LDL-C+TG)/HDL-C, Apoprotein B/A poprotein AI(Apo B/AI) and DDI [DDI=(LDL-C+TG)/HDLC+Lp(a)] as atherosclerosis indices are calculated. Results: 1) LDL-C/HDL-C is increased significantly in group DMMCX compared with group DM. 2) (LDL-C+TG)/HDL-C is increased significantly in group DMMCX compared to group DM. 3) Apo B/Al is increased significantly in group DMMCX compared to group DM. 4) DDI is increased significantly in group DMMCX compared to group DM. 5) Through multiple logistic regression analysis, regression coefficients and relative risks are 0.386, 11.9 in DDI (p<0.001), 0.013, 5.22 in LDL-C/HDL-C (p<0.001), 0.071, 5.97 in (LDL-C+TG)/HDL-C (p=0.032), and 0.07, 7.2 in Apo B/Al (p=0.036). 6) Sensitivity and specificity of DDI for macrovascular complications in NIDDM are 80%, 74% respectively. Positive predictive value and negative predictive value are 75%, 80% respectively. Conclusion: Among atherosclerosis indices, diabetic dyslipidemia index is best to discriminate the complication of macrovascular diseases in the NIDDM patients.

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