2型糖尿病患者的血脂指标与糖尿病肾病的相关性研究

目的:分析2型糖尿病患者血脂指标与糖尿病肾病的相关性。方法:选择2011年6月—2013年7月收治的2型糖尿病患者240例,其中合并糖尿病肾病的患者100例,无并发症的患者140例。比较2组患者的性别、年龄、糖尿病病程、血压、基线空腹血糖、糖化血红蛋白以及各项血脂指标,采用Logistic回归模型分析各因素与糖尿病肾病关联的比值比(odds ratio,OR)及95%可信区间(confidence interval,CI)。结果:2组患者的年龄、病程、收缩压差异均有统计学意义(P0.01)。Logistic回归模型显示,年龄70岁(OR=2.92,95%CI:1.31~6.51)、病程10年(OR=3.33,95%CI:1.79~6.16)、舒张压90mmHg(OR=2.23,95%CI:1.06~4.69)、低密度脂蛋白3.64 mmol/L(OR=2.85,95%CI:1.16~7.03)为2型糖尿病合并糖尿病肾病的独立危险因素(P0.05)。结论:低密度脂蛋白有可能作为2型糖尿病合并糖尿病肾病的预测指标和防治靶点。

Research on Correlation between Serum Lipid Levels and Diabetic Nephropathy in Patients with Type 2Diabetes Mellitus

Objective：To analyze the correlation between serum lipid levels and diabetic nephropathy in patients with type 2 diabetic mellitus.Methods：A total of 240 patients with type 2 diabetic mellitus from Jun 2011 to Jul 2013 were enrolled.There were 100 patients with diabetic nephropathy and 140 patients without any complication.Gender,age,duration of diabetes,baseline fasting glucose,glycosylated hemoglobin and serum lipid were compared between the two groups.The odds ratio（OR）and 95% confidence interval（CI）of correlation between these factors and diabetic nephropathy were calculated and analyzed with Logistic regression model.Results：The differences of age,duration of diabetes,systolic pressure between the two groups were statistically significant（P〈0.01）.Adjusted Logistic regression model showed that age〉70（OR=2.92,95%CI：1.31-6.51）,duration of diabetes〉10 years（OR=3.33,95%CI：1.79-6.16）,diastolic pressure〉90 mmHg（OR=2.23,95%CI：1.06-4.69）,and low density lipoprotein〉3.64 mmol/L（OR=2.85,95%CI：1.16-7.03）were independent risk factors for type 2 Diabetic Mellitus complicated by diabetic nephropathy（P〈0.01 and 0.05）.Conclusions：Low density lipoprotein has the potential to be a predictive,prophylactic and therapeutic target for diabetic nephropathy.