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目的 探讨 2型糖尿病患者 TG/ HDL- C比值与大血管病变的关系及其临床意义。方法 应用病例 -对照研究方法 ,将初次确诊 1 4 8例 2型糖尿病患者按有无大血管病变分为大血管病变组和无大血管病变组 ,测定两组患者血糖、血脂、血压、 2 4小时尿微白蛋白排泄率 (UAER)及血胰岛素等水平 ,计算 TG/ HDL - C比值 ,并进行比较 ,分析它们与大血管病变的相关性。结果 大血管病变组患者年龄、病程、体重指数、血压、UAER、TG及 TG/HDL- C比值水平明显高于无大血管病变组患者 (P分别为 <0 .0 0 1、 0 .0 1、 <0 .0 0 1、 <0 .0 0 1、 0 .0 1、 <0 .0 0 1、 <0 .0 0 1 )。随着 TG/ HDL - C比值水平的逐步升高 ,大血管病变的患病率也随之逐渐增加。进一步 L ogistic回归分析显示 ,TG/ HDL - C比值与大血管病变密切相关 (回归系数 B=2 .6 2 0 ,P<0 .0 0 1 ) ,这种相关性独立于血糖、血压、胰岛素抵抗及其他脂代谢指标而存在。结论 TG/ HDL- C比值水平与 2型糖尿病患者大血管病变存在密切的独立相关性 ,TG/ HDL- C比值水平可作为临床预测 2型糖尿病患者大血管病变的一项参考指标
Objective To investigate the relationship between TG / HDL-C ratio and macroangiopathy in type 2 diabetic patients and its clinical significance. Methods A case-control study was conducted. Among the 148 patients with type 2 diabetes mellitus who were initially diagnosed with type 2 diabetes mellitus, those with macrovascular disease were divided into two groups: macrovascular disease group and non-macrovascular disease group. Blood glucose, blood lipid, blood pressure, Hour urine microalbumin excretion rate (UAER) and blood insulin levels were calculated TG / HDL - C ratio, and compared to analyze their correlation with macrovascular disease. Results The age, course of disease, body mass index, blood pressure, UAER, TG and TG / HDL-C in patients with macrovascular disease were significantly higher than those without macrovascular disease (P <0.01, 0.01 , <0 .0 0 1, <0 .0 0 1, 0 .0 1, <0 .0 0 1, <0 .0 0 1). With the gradual increase of TG / HDL - C ratio, the prevalence of macrovascular disease also increased gradually. Further L ogistic regression analysis showed that the ratio of TG / HDL - C was closely related to macroangiopathy (regression coefficient B = 2.62, P <0.001). The correlation was independent of blood glucose, blood pressure, insulin Resistance and other lipid metabolism indicators exist. Conclusions TG / HDL-C ratio is closely related to macroangiopathy in patients with type 2 diabetes. The level of TG / HDL-C can be used as a reference index for predicting macrovascular disease in patients with type 2 diabetes