Çatak Merve, Konuk Şerife Gülhan, Hepsen Sema
Faculty of Medicine, Department of Endocrinology and Metabolism, Tokat Gazıosmanpasa University, Tokat, Turkey.
Faculty of Medicine, Department of Opthalmology, Tokat Gazıosmanpasa University, Tokat, Turkey.
J Diabetes Investig. 2025 Aug;16(8):1487-1494. doi: 10.1111/jdi.70086. Epub 2025 May 28.
To investigate the relationship between four metabolic indices-visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, and cholesterol-HDL-glucose (CHG) index-and the presence of diabetic nephropathy (DN) and diabetic retinopathy (DR) in patients with long-standing type 2 diabetes mellitus (T2DM).
This prospective cross-sectional study included 175 T2DM patients with disease duration >10 years who attended an endocrinology outpatient clinic between July 2021 and January 2022. DR was assessed via fundus photography, and DN was defined using the urinary albumin-to-creatinine ratio and eGFR. VAI, LAP, TyG, and CHG indices were calculated using anthropometric and biochemical parameters. Logistic regression was used to identify independent predictors.
The mean age was 60 ± 10.1 years; 63.4% were female. DR and DN were observed in 50.3% and 38.9% of patients, respectively. VAI, LAP, and TyG were significantly higher in patients with DN but not with DR. CHG was elevated in both DN and DR (P < 0.05), and was the only independent predictor of DN (P = 0.005). Notably, CHG was significantly higher in proliferative vs non-proliferative DR (P = 0.009), unlike the other indices.
While VAI, LAP, and TyG were associated only with nephropathy, CHG was linked to both DN and DR. Its integration of glycemic and lipid parameters may offer greater sensitivity for microvascular risk stratification in T2DM.
探讨四个代谢指标——内脏脂肪指数(VAI)、脂质蓄积产物(LAP)、甘油三酯葡萄糖(TyG)指数和胆固醇-高密度脂蛋白-葡萄糖(CHG)指数——与长期2型糖尿病(T2DM)患者糖尿病肾病(DN)和糖尿病视网膜病变(DR)的存在之间的关系。
这项前瞻性横断面研究纳入了2021年7月至2022年1月期间在一家内分泌门诊就诊的175例病程超过10年的T2DM患者。通过眼底摄影评估DR,并使用尿白蛋白与肌酐比值和估算肾小球滤过率(eGFR)定义DN。使用人体测量和生化参数计算VAI、LAP、TyG和CHG指数。采用逻辑回归分析确定独立预测因素。
平均年龄为60±10.1岁;63.4%为女性。分别有50.3%和38.9%的患者观察到DR和DN。DN患者的VAI、LAP和TyG显著更高,但DR患者并非如此。DN和DR患者的CHG均升高(P<0.05),并且是DN的唯一独立预测因素(P=0.005)。值得注意的是,与其他指标不同,增殖性DR患者的CHG显著高于非增殖性DR患者(P=0.009)。
虽然VAI、LAP和TyG仅与肾病相关,但CHG与DN和DR均相关。其对血糖和血脂参数的整合可能为T2DM患者微血管风险分层提供更高的敏感性。