Singapore Eye Research Institute, Singapore National Eye Centre, 11 Third Hospital Avenue, 168751, Singapore, Republic of Singapore.
Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong, Special Administrative Region, People's Republic of China.
Diabetologia. 2017 Sep;60(9):1770-1781. doi: 10.1007/s00125-017-4333-0. Epub 2017 Jun 16.
AIMS/HYPOTHESIS: We aimed to examine prospectively the association between a range of retinal vascular geometric variables measured from retinal photographs and the 6 year incidence and progression of diabetic retinopathy.
We conducted a prospective, population-based cohort study of Asian Malay individuals aged 40-80 years at baseline (n = 3280) who returned for a 6 year follow-up. Retinal vascular geometric variables (tortuosity, branching, fractal dimension, calibre) were measured from baseline retinal photographs using a computer-assisted program (Singapore I Vessel Assessment). Diabetic retinopathy was graded from baseline and follow-up photographs using the modified Airlie House classification system. Incidence of diabetic retinopathy was defined as a severity of ≥15 at follow-up among those without diabetic retinopathy at baseline. Incidence of referable diabetic retinopathy was defined as moderate or severe non-proliferative diabetic retinopathy, proliferative diabetic retinopathy or diabetic macular oedema at follow-up in participants who had had no or mild non-proliferative diabetic retinopathy at baseline. Progression of diabetic retinopathy was defined as an increase in severity of ≥2 steps at follow-up. Log-binomial models with an expectation-maximisation algorithm were used to estimate RR adjusting for age, sex, diabetes duration, HbA level, BP, BMI, estimated GFR and total and HDL-cholesterol at baseline.
A total of 427 individuals with diabetes participated in the baseline and 6 year follow-up examinations. Of these, 19.2%, 7.57% and 19.2% developed incidence of diabetic retinopathy, incidence of referable diabetic retinopathy and diabetic retinopathy progression, respectively. After multivariate adjustment, greater arteriolar simple tortuosity (mean RR [95% CI], 1.34 [1.04, 1.74]), larger venular branching angle (RR 1.26 [1.00, 1.59]) and larger venular branching coefficient (RR 1.26 [1.03, 1.56]) were associated with incidence of diabetic retinopathy. Greater arteriolar simple tortuosity (RR 1.82 [1.32, 2.52]), larger venular branching coefficient (RR 1.46 [1.03, 2.07]), higher arteriolar fractal dimension (RR 1.59 [1.08, 2.36]) and larger arteriolar calibre (RR 1.83 [1.15, 2.90]) were associated with incidence of referable diabetic retinopathy. Greater arteriolar simple tortuosity (RR 1.34 [1.12, 1.61]) was associated with diabetic retinopathy progression. Addition of retinal vascular variables improved discrimination (C-statistic 0.796 vs 0.733, p = 0.031) and overall reclassification (net reclassification improvement 18.8%, p = 0.025) of any diabetic retinopathy risk beyond established risk factors.
CONCLUSIONS/INTERPRETATION: Retinal vascular geometry measured from fundus photographs predicted the incidence and progression of diabetic retinopathy in adults with diabetes, beyond established risk factors.
目的/假设:我们旨在前瞻性地研究从眼底照片测量的一系列视网膜血管几何变量与糖尿病视网膜病变 6 年发病率和进展之间的关系。
我们对基线时年龄在 40-80 岁的亚洲马来人进行了一项前瞻性、基于人群的队列研究(n=3280),他们在 6 年后进行了随访。使用计算机辅助程序(新加坡 I 血管评估)从基线眼底照片测量视网膜血管几何变量(扭曲、分支、分形维数、口径)。使用改良的 Airlie House 分类系统从基线和随访照片评估糖尿病视网膜病变。糖尿病视网膜病变的发生率定义为在基线时无糖尿病视网膜病变的人群中随访时≥15 的严重程度。糖尿病视网膜病变进展的定义为在随访时严重程度增加≥2 个等级。使用具有期望最大化算法的对数二项式模型,在调整年龄、性别、糖尿病病程、HbA 水平、血压、BMI、估计肾小球滤过率和基线时总胆固醇和高密度脂蛋白胆固醇后,估计 RR。
共有 427 名患有糖尿病的参与者参加了基线和 6 年随访检查。其中,19.2%、7.57%和 19.2%分别发展为糖尿病视网膜病变的发生率、可治疗的糖尿病视网膜病变的发生率和糖尿病视网膜病变的进展。经过多变量调整,更大的动脉简单扭曲(平均 RR [95%CI],1.34 [1.04,1.74])、更大的静脉分支角度(RR 1.26 [1.00,1.59])和更大的静脉分支系数(RR 1.26 [1.03,1.56])与糖尿病视网膜病变的发病率相关。更大的动脉简单扭曲(RR 1.82 [1.32,2.52])、更大的静脉分支系数(RR 1.46 [1.03,2.07])、更高的动脉分形维数(RR 1.59 [1.08,2.36])和更大的动脉口径(RR 1.83 [1.15,2.90])与可治疗的糖尿病视网膜病变的发生率相关。更大的动脉简单扭曲(RR 1.34 [1.12,1.61])与糖尿病视网膜病变的进展相关。视网膜血管变量的加入改善了(C 统计量 0.796 与 0.733,p=0.031)和整体重新分类(净重新分类改善 18.8%,p=0.025),从而超越了既定的危险因素,预测了糖尿病患者的任何糖尿病视网膜病变风险。
结论/解释:从眼底照片测量的视网膜血管几何形状预测了成年人糖尿病视网膜病变的发病率和进展,超越了既定的危险因素。