Correlation between retinal vascular geometric parameters and pathologically diagnosed type 2 diabetic nephropathy

作者：Fang Liu, Xiaoniao Chen, Qian Wang, Wenwen Lin, Ying Li, Ruimin Zhang, Huang Hui, Shuangshuang Jiang, Yue Niu, Weicen Liu, Liqiang Wang, Weiguang Zhang, Ying Zheng, Xueying Cao, Yong Wang, Jie Wu, Li Zhang, Li Yoong Tang, Jianhui Zhou, Pu Chen, Guangyan Cai, Zheyi Dong · 发表于：Clinical Kidney Journal · 年份：2024 · DOI：10.1093/ckj/sfae204 · 被引用次数：7 · 研究领域：Retinal Imaging and Analysis、Retinal Diseases and Treatments、Retinopathy of Prematurity Studies

ABSTRACT Background Diabetic nephropathy (DN) and diabetic retinopathy (DR) are common microvascular complications of diabetes. The purpose of this study was to investigate the correlation between retinal vascular geometric parameters and pathologically diagnosed type 2 DN and to determine the capacity of retinal vascular geometric parameters in differentiating DN from non-diabetic renal disease (NDRD). Methods The study participants were adult patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease who underwent a renal biopsy. Univariate and multivariable regression analyses were performed to evaluate associations between retinal vessel geometry parameters and pathologically diagnosed DN. Multivariate binary logistic regression analyses were performed to establish a differential diagnostic model for DN. Results In total, 403 patients were examined in this cross-sectional study, including 152 (37.7%) with DN, 157 (39.0%) with NDRD and 94 (23.3%) with DN combined with NDRD. After univariate logistic regression, total vessel fractal dimension, arteriolar fractal dimension and venular fractal dimension were all found to be associated with DN. In multivariate analyses adjusting for age, sex, blood pressure, diabetes, DR and other factors, smaller retinal vascular fractal dimensions were significantly associated with DN (P < .05). We developed a differential diagnostic model for DN combining traditional clinical indicators and retinal vascular geometric pa...