Ontology highlight
ABSTRACT: Background
Type 2 diabetes (T2DM) and hypertension (HTN) are key risk factors for retinopathy and often coexist with coronary heart disease (CHD). While AI-based retinal imaging predicts CHD risk, links between CHD lesion complexity and retinopathy, and potential benefits of Sodium-Glucose Cotransporter-2 (SGLT2) inhibitors on retinopathy in CHD patients with T2DM, lack sufficient evidence.Methods
This case-control study (Jan 2024-Mar 2025) enrolled 642 subjects from Beijing Tongren Hospital (affiliated with Capital Medical University). Retinal imaging data were analyzed. Propensity score matching (PSM) created baseline and optimized datasets. Univariate/multivariate logistic regression assessed if CHD increases retinopathy risk in patients with T2DM, HTN, or both. Pearson
SUBMITTER: Zhang Q
PROVIDER: S-EPMC12745156 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature