Gao Jiaojiao, Wu Kang, Wang Xiaonan, Li Zhitao, Liu Xiaolin, Song Jiahui, Liu Yang, Qiu Hua, Wei Feng, Xu Qian, Xiao Shaotan, Zhou Yi, Ruan Xiaonan
Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Front Endocrinol (Lausanne). 2025 Jun 25;16:1571488. doi: 10.3389/fendo.2025.1571488. eCollection 2025.
To describe the prevalence of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) in Pudong New Area, Shanghai, and to explore the association between estimated glucose disposal rate (eGDR) and DR, as well as the possibility of eGDR as a predictive marker.
Field investigation was conducted among sampled patients with T2DM from May to September 2023. Fundus examination was performed by automatic mydriatless fundus camera to evaluate the prevalence of DR. Restricted cubic spline (RCS) function was employed to evaluate the dose-response relationship between eGDR and DR. Logistic regression analysis was performed to examine their association.
A total of 2,327 patients with T2DM completed the survey, with a median age of 69 years. The prevalence of DR in Pudong New Area was 7.39%, and RCS curve demonstrated a significant negative linear relationship between eGDR and DR. After controlling for confounding factors, the results of the logistics regression showed that the risk of DR decreased by 40.4% for every one standard deviation increase in eGDR. The area under the ROC curve for eGDR predicting DR was 0.777 and 0.781, indicating a high predictive value of eGDR for DR.
There is a significant negative linear association between eGDR and the risk of DR, and eGDR is expected to serve as a target for DR prediction and intervention.
描述上海市浦东新区2型糖尿病（T2DM）患者糖尿病视网膜病变（DR）的患病率，探讨估计葡萄糖处置率（eGDR）与DR之间的关联，以及eGDR作为预测标志物的可能性。
于2023年5月至9月对抽样的T2DM患者进行现场调查。采用免散瞳自动眼底照相机进行眼底检查，以评估DR的患病率。采用受限立方样条（RCS）函数评估eGDR与DR之间的剂量反应关系。进行逻辑回归分析以检验它们之间的关联。
共有2327例T2DM患者完成调查，中位年龄为69岁。浦东新区DR的患病率为7.39%，RCS曲线显示eGDR与DR之间存在显著的负线性关系。在控制混杂因素后，逻辑回归结果显示，eGDR每增加一个标准差，DR风险降低40.4%。eGDR预测DR的ROC曲线下面积为0.777和0.781，表明eGDR对DR具有较高的预测价值。
eGDR与DR风险之间存在显著的负线性关联，eGDR有望作为DR预测和干预的靶点。
