摘要
目的探讨血清胱抑素C(Cys C)、糖化血清蛋白(GSP)、收缩压(SBP)在2型糖尿病肾病中的水平及预测价值。方法选取2022年6月至2023年12月于安徽中医药大学第一附属医院内分泌科住院的2型糖尿病患者268例,根据尿白蛋白/肌酐比值(UACR)分为单纯糖尿病组(DM)175例、糖尿病肾脏病组(DKD)93例,比较两组一般人口学资料及生化指标。采用Logistic回归分析DKD发生风险的影响因素。采用受试者工作特征(ROC)曲线评价Cys C、GSP、SBP对DKD发生的预测价值。结果两组年龄、病程、SBP、饮酒史、空腹血糖、糖化血红蛋白(HbA1c)、GSP、尿酸(UA)、肌酐(Cr)、UACR、尿素氮(BUN)、尿微量白蛋白、Cys C比较,差异有统计学意义(P<0.05)。Logistic回归分析显示,Cys C、GSP、SBP升高是DKD发生的独立危险因素(P<0.05)。Cys C、GSP、SBP单独及联合检测诊断DKD的曲线下面积(AUC)分别为0.712、0.659、0.593、0.822。结论Cys C、GSP、SBP均与DKD发生风险密切相关,较高的Cys C、GSP、SBP可增加DKD的发病风险,三指标联合检测可以预测2型糖尿病肾病发病的风险。
Objective To investigate the levels and predictive value of cystatin C(CysC),glycosylated serum protein(GSP)and systolic blood pressure(SBP)in type 2 diabetic nephropathy.Methods A total of 268 patients with type 2 diabetes were admitted to the Department of Endocrinology at the First Affiliated Hospital of Anhui University of Chinese Medicine from June 2022 to December 2023.They were selected and divided into two groups:175 patients with simple diabetes mellitus(DM)and 93 patients with diabetic kidney disease(DKD)based on their urinary albumin/creatinine ratio(UACR).The general demographic data and biochemical indexes of the two groups were compared.Factors influencing the risk of DKD were analyzed using logistic regression.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of Cys C,GSP and SBP for DKD risk.Results There were significant differences in age,course of disease,SBP,drinking history,fasting blood glucose,glycosylated hemoglobin(HbA1c),GSP,uric acid(UA),creatinine(Cr),UACR,urea nitrogen(BUN),urinary microalbumin,and CysC between the two groups(P<0.05).Logistic regression analysis showed that Cys C,GSP,and SBP were independent risk factors for DKD(P<0.05).The area under the curve(AUC)of Cys C,GSP,and SBP alone and in combination were 0.712,0.659,0.593,and 0.822.Conclusion Cys C,GSP and SBP are all closely related to the risk of DKD.Higher levels of Cys C,GSP and SBP can increase the risk of DKD.The combined detection of these three indicators can predict the risk of type 2 diabetic nephropathy.
作者
许春芳
方朝晖
程梅
鲍陶陶
李凤仁
XU Chunfang;FANG Zhaohui;CHENG Mei;BAO Taotao;LI Fengren(Department of Endocrinology,the First Affiliated Hospital of Anhui University of Chinese Medicine,Hefei,Anhui,China,230031;Ministry of Education Key Laboratory of Xin'an Medicine(Anhui University of Traditional Chinese Medicine),Hefei,Anhui,China,230031)
出处
《分子诊断与治疗杂志》
2025年第1期26-29,共4页
Journal of Molecular Diagnostics and Therapy
基金
国家自然科学基金项目(82174153,81573944)
安徽省自然科学基金(1708085QH213)
安徽省高校自然科学研究项目(KJ2018ZD029)
安徽省高校协同创新项目(GXXT⁃2020⁃025)。
关键词
2型糖尿病
糖尿病肾脏病
胱抑素C水平
糖化血清蛋白
收缩压
Type 2 diabetes
Diabetic kidney disease
Cystatin C level
Glycosylated serum protein
Systolic blood pressure
