Department of Blood Transfusion, Zhejiang Hospital, Hangzhou, Zhejiang, China (mainland).
Department of Laboratory Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China (mainland).
Med Sci Monit. 2020 Jul 23;26:e924923. doi: 10.12659/MSM.924923.
BACKGROUND The aim of this study was to explore predictive factors to inform accurate diagnosis of glomerulonephritis (GNs) in patients with diabetes. MATERIAL AND METHODS Clinical characteristics and laboratory data were retrospectively analyzed from 200 patients with diabetes including 115 patients who had undergone a renal biopsy. Eligible patients were categorized into three groups: pure type 2 diabetes mellitus (T2DM), isolated diabetic nephropathy (DN), and GN. Odds ratios (ORs) were calculated to evaluate the contributions of predictive factors for GN. A receiver operating characteristic curve (ROC) was created to obtain cut-off values for predictive factors for GNs and investigate their corresponding predictive accuracy. RESULTS Red cell distribution width (RDW) was significantly higher in the GN group than in the DN group. Multivariate regression analysis revealed that baseline RDW level (OR=1.988, 95% CI=1.237~3.194, P=0.005) was an independent predictive factor for development of GNs. CONCLUSIONS Increased RDW levels are independently associated with a greater risk of GN in patients with diabetes who have albuminuria, and may be an additional valuable and noninvasive predictive tool for differentiating GNs and DN.
本研究旨在探讨有助于准确诊断糖尿病患者肾小球肾炎(GN)的预测因素。
回顾性分析了 200 例糖尿病患者的临床特征和实验室数据,其中 115 例行肾活检。将符合条件的患者分为三组:单纯 2 型糖尿病(T2DM)、单纯糖尿病肾病(DN)和 GN。计算比值比(OR)以评估预测 GN 的因素的贡献。绘制受试者工作特征曲线(ROC)以获得 GN 的预测因素的截断值,并研究其相应的预测准确性。
GN 组的红细胞分布宽度(RDW)显著高于 DN 组。多变量回归分析显示,基线 RDW 水平(OR=1.988,95%CI=1.237~3.194,P=0.005)是发生 GN 的独立预测因素。
在伴有蛋白尿的糖尿病患者中,RDW 水平升高与 GN 风险增加独立相关,可能是区分 GN 和 DN 的另一种有价值的、非侵入性的预测工具。