医学
糖尿病
糖尿病性视网膜病变
视网膜
蛋白尿
肾功能
眼科
肌酐
视网膜病变
肾脏疾病
视网膜
光学相干层析成像
吉
内科学
内分泌学
广义估计方程
统计
物理
数学
光学
作者
Dan Cao,Qianhui Yang,Yueheng Hong,Rose Tan,Farah Ibrahim,Cynthia Ciwei Lim,Jason Choo,Charumathi Sabanayagam,Thomas M. Coffman,Tien Yin Wong,Gavin Siew Wei Tan
摘要
ABSTRACT Background Diabetic kidney disease (DKD) and diabetic retinopathy (DR) share common microvascular pathophysiology, yet the relationship between retinal neuronal alterations and kidney dysfunction remains unclear. This cross‐sectional study examines the association between individual retinal layer thickness and kidney indicators to identify novel optical coherence tomography (OCT) biomarkers for DKD. Methods A total of 410 type 2 diabetes (T2D) patients (815 eyes) were recruited from the outpatient clinics of a tertiary eye centre in Singapore. Retinal layer thickness was measured using OCT with automated segmentation software (Orion). The association between the thickness of individual retinal layers and estimated glomerular filtration rate (eGFR) as well as urine albumin‐to‐creatinine ratio (UACR) categories was analysed using a Generalised Estimating Equation (GEE) approach. Results GEE analysis identified a significant association between outer plexiform layer (OPL) thickness and both eGFR and UACR category, with perifoveal OPL thickness showing the strongest inverse association with eGFR (adjusted p = 0.0007) and positive association with the category of UACR (adjusted p = 0.005). After stratifying by retinal thickness, this association remained robust in eyes without macular oedema (foveal total retinal thickness < 320 μm). No significant associations were found for other retinal layers. Conclusions OPL thickening serves as a potential indicator for DKD, and OCT imaging offers a noninvasive tool for investigating retinal–renal interactions. Further longitudinal studies are needed to evaluate its utility in monitoring DKD progression.
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