Li Y, Wang Q, Chen X, Xi Y, Yang J, Liu X, Wang Y, Zhang L, Cai G, Chen X, Dong Z
Senior Department of Ophthalmology, Third Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2023 Sep 20;43(9):1585-1590. doi: 10.12122/j.issn.1673-4254.2023.09.16.
To validate and compare the efficacy of two noninvasive diagnostic models for diabetic nephropathy (DN) based on diabetic retinopathy (DR).
A total of 565 patients with type 2 diabetes undergoing kidney biopsy in the Department of Nephrology, PLA General Hospital from January, 1993 to December, 2014 were studied. The patients were divided into DN group and non-diabetic nephropathy (NDRD) group according to renal pathological diagnosis. The data from the 22-year period were divided into 3 stages based on chronological order: early stage (from 1993 to 2003), middle stage (from 2004 to April, 2012), and late stage (from May, 2012 to December, 2014). The changes in clinical features and pathological diagnosis of the patients with renal biopsy over the 22 years were analyzed. The published DNT model and JDB model, both based on DR, were validated and compared for diagnostic effectiveness of DN, and the characteristics of the misdiagnosed cases were analyzed.
The incidences of hypertension and DR and levels of glycosylated hemoglobin (HbA1c), creatinine and 24-h urinary protein were all significantly higher, while hemoglobin and triglyceride levels were lower in DN group than in NDRD group (<0.05). The proportion of NDRD cases increased gradually over time, with IgA nephropathy and membranous nephropathy as the main pathological types. The AUC of JDB model was 0.946, similar to that of NDT model (0.925; =0.198). The disease course of diabetes, hematuria and incidence of DR were important clinical features affecting the diagnostic accuracy of the models.
The clinical features and pathological diagnosis of DR change over time. The non-invasive diagnostic models based on DR have good diagnostic efficacy for DN.
验证并比较两种基于糖尿病视网膜病变(DR)的糖尿病肾病(DN)无创诊断模型的疗效。
对1993年1月至2014年12月在解放军总医院肾内科接受肾活检的565例2型糖尿病患者进行研究。根据肾脏病理诊断将患者分为DN组和非糖尿病肾病(NDRD)组。将22年的数据按时间顺序分为3个阶段:早期(1993年至2003年)、中期(2004年至2012年4月)和晚期(2012年5月至2014年12月)。分析22年间肾活检患者的临床特征和病理诊断变化。对已发表的基于DR的DNT模型和JDB模型进行验证,并比较其对DN的诊断有效性,分析误诊病例的特征。
DN组的高血压、DR发生率以及糖化血红蛋白(HbA1c)、肌酐和24小时尿蛋白水平均显著高于NDRD组,而血红蛋白和甘油三酯水平低于NDRD组(<0.05)。NDRD病例比例随时间逐渐增加,主要病理类型为IgA肾病和膜性肾病。JDB模型的AUC为0.946,与NDT模型(0.925;P=0.198)相似。糖尿病病程、血尿和DR发生率是影响模型诊断准确性的重要临床特征。
DR的临床特征和病理诊断随时间变化。基于DR的无创诊断模型对DN具有良好的诊断效能。