Rozema Jos J, Khan Adnan, Atchison David A
Visual Optics Lab Antwerp (VOLANTIS), Faculty of Medicine and Health Sciences, Antwerp University, Wilrijk, Belgium.
Department of Ophthalmology, Antwerp University Hospital, Edegem, Belgium.
Adv Ophthalmol Pract Res. 2022 Apr 12;2(2):100048. doi: 10.1016/j.aopr.2022.100048. eCollection 2022 Aug-Sep.
To develop a paraxial eye model based on a previously collected cohort of adults with well-controlled type 1 diabetes mellitus () and a limited range of refractive errors.
The study used the previously published biometric data of participants (Age: years) with . Measurements included objective refraction, anterior and posterior corneal radii of curvatures, and internal distances. Moreover, phakometry was used to determine the lens radii of curvature and lens equivalent indices, from which the lens powers were calculated. A multivariate linear regression was performed for each biometric parameter with respect to current age (), the time since the onset of diabetes (), and current levels of glycated hemoglobin (). The vitreous chamber depth was determined from other distances, and lens equivalent index was chosen to balance the models. These were compared with an existing model for non-diabetic eyes.
Some dependent parameters were not affected by the independent variables (spherical equivalent, anterior corneal radius of curvature, central corneal thickness), some were affected by time since onset (the lens radii of curvatures, anterior chamber depth) and others were affected by both age and time since onset (posterior corneal radius of curvature, lens thickness, axial length). None of the dependent parameters were affected by current levels of .
The proposed model accurately describes the age-related changes in the eyes of people with . In this description the age of diabetes onset plays an important role, especially if the diabetes onset occurred during childhood.
基于先前收集的一组1型糖尿病（T1DM）控制良好且屈光不正范围有限的成年人队列，建立一个近轴眼模型。
该研究使用了先前发表的146名参与者（年龄：25.5±4.3岁）的生物测量数据，这些参与者患有T1DM。测量包括客观验光、角膜前后曲率半径和眼内距离。此外，使用晶状体测量法确定晶状体曲率半径和晶状体等效指数，并据此计算晶状体屈光力。对每个生物测量参数进行多元线性回归分析，分析对象包括当前年龄（A）、糖尿病发病时间（D）和糖化血红蛋白（HbA1c）的当前水平。根据其他距离确定玻璃体腔深度，并选择晶状体等效指数来平衡模型。将这些结果与现有的非糖尿病眼模型进行比较。
一些因变量不受自变量影响（球镜等效度、角膜前曲率半径、中央角膜厚度），一些受发病时间影响（晶状体曲率半径、前房深度），另一些受年龄和发病时间两者影响（角膜后曲率半径、晶状体厚度、眼轴长度）。所有因变量均不受HbA1c当前水平的影响。
所提出的模型准确描述了T1DM患者眼睛中与年龄相关的变化。在这种描述中，糖尿病发病年龄起着重要作用，尤其是在儿童期发病时。
