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糖尿病肾病相关因素分析
引用本文:刘雯,刘会贞,陈全振,靳拥军,刘栋,孙同文.糖尿病肾病相关因素分析[J].中华糖尿病杂志,2011,19(6):426-429.
作者姓名:刘雯  刘会贞  陈全振  靳拥军  刘栋  孙同文
作者单位:刘雯,刘会贞,陈全振,靳拥军(禹州市人民医院肾内科,河南,461670);刘栋,孙同文(郑州大学第一附属医院肾内科)
摘    要:目的探讨糖尿病肾病(DN)的相关因素,为DN的一级预防提供理论依据。方法选择2型糖尿病(T2DM)患者267例,其中DN患者102例(DN组),单纯糖尿病无。肾病165例(NDN组),采集血糖等临床资料,进行t检验、x2检验和Logistic回归分析。结果组间比较显示,DN组与NDN组的年龄、糖尿病(DM)病程、BMI、吸烟、高脂饮食、合并高血压、FPG、2hPG、0.5hPG、HbA1c、TC、TG、LDL-C和纤维蛋白原(Fib)差异有统计学意义(P〈0.05或P〈0.01)。多元Logistic回归分析中,DN的发生与DM病程、TG、HbA-C、FPG、2hPG和合并高血压有关(P〈0.05或P〈0.01)。结论TG、DM病程、HbA1C、FPG、2hPG和合并高血压是DN发生的独立相关因素。

关 键 词:糖尿病肾病  相关因素  Logistic回归

Analysis of relative factors of diabetic nephropathy
Institution:LIU Wen, LIU Hui-zhen, CHEN Quan-zhen, et al. Department of Nephrology , Yuzhou People's Hospital , Yuzhou 461670 ,China
Abstract:Objective To investigate the relative factors of diabetic nephropathy. Methods In the enrolled 267 patients with type 2 diabetes mellitus, 102 had diabetic nephropathy (DN group) and 165 did not have (NDN group). The clinical and laboratory data were collected. The statistical analysis including t- test, Chi-square test and logistic regression analysis were completed. Results There were the statistical inter-group differences in age, course of diabetes, body mass index, smoking, high fat diet, hypertension, fasting plasma glucose, 2 hours' postprandial plasma glucose, 0. 5 hours' postprandial plasma glucose, glycosylated hemoglobin A1C, total cholesterol, triglycerides, low density lipoprotein cholesterol and fibrinogen between two groups of T2DM with versus without diabetic nephropathy (P〈0. 05 or P〈0.01) . Multivariate logistic regression analysis showed diabetic nephropathy were related with course of diabetes, triglycerides, fasting plasma glucose,2-h postprandial plasma glucose and hypertension(P〈0.05 or 〈0. 01). Conclusion Course of diabetes, triglycerides, glycosylated hemoglobin A1C, fasting plasma glucose,2-h postprandial plasma glucose and hypertension are the independent relative factors of diabetic nephropathy.
Keywords:Diabetic nephropathy  Relative factors  Logistic regression
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