Ophthalmology Department, Torrecárdenas University Hospital, Almería, Spain.
University of Almería, Almería, Spain.
Sci Rep. 2020 Nov 9;10(1):19335. doi: 10.1038/s41598-020-76489-1.
This paper aims to calculate a relevance model of visual limitation (V.L.) in keratoconus patients based on refractive and topographic parameters. A cross-sectional study was carried out in Torrecárdenas Hospital, Almería, Spain, between February 2018 and July 2019. It included 250 keratoconus patients. Two groups were created according to a grading system of V.L. based on RETICS (Red Temática de Investigación Cooperativa en Salud) classification: keratoconus patients with no V.L. (best spectacle-corrected visual acuity (BSCVA) ≤ 0.05 logMAR) and keratoconus patients with V.L. (BSCVA > 0.05 logMAR). Correlations and a binary logistic regression were established. V.L. was correlated with maximum curvature (r = 0.649, p < 0.001) and root mean square higher-order aberrations (HOARMS) (r = 0.625, p < 0.001). Binary logistic regression included V.L. as the dependent variable and spherical equivalent, HOARMS, spherical aberration and interaction between the anterior and posterior vertical coma as independent variables. The model was a good fit. Area under the curve (A.U.C.) of receiver operating characteristic (R.O.C.) curve was 0.924, sensitivity 91.90%, specificity 83.60%, accuracy 88.94%; and precision 91.17%. Binary logistic regression model of V.L. is a good fit model to predict the early loss of visual acuity in keratoconus patients.
本文旨在基于屈光和地形参数，计算圆锥角膜患者视觉限制（VL）的相关性模型。本研究为西班牙阿尔梅里亚省托雷卡德纳纳斯医院的一项横断面研究，于 2018 年 2 月至 2019 年 7 月进行。共纳入 250 名圆锥角膜患者。根据基于 RETICS（Red Temática de Investigación Cooperativa en Salud）分类的 VL 分级系统，将患者分为两组：无 VL 组（最佳矫正视力（BCVA）≤0.05 logMAR）和有 VL 组（BCVA＞0.05 logMAR）。建立相关性和二元逻辑回归。VL 与最大曲率（r=0.649，p＜0.001）和均方根高阶像差（HOARMS）（r=0.625，p＜0.001）相关。二元逻辑回归将 VL 作为因变量，球镜等效、HOARMS、球差和前、后垂直彗差相互作用作为自变量。模型拟合度较好。ROC 曲线下面积（AUC）为 0.924，灵敏度为 91.90%，特异性为 83.60%，准确性为 88.94%；精确性为 91.17%。VL 的二元逻辑回归模型是预测圆锥角膜患者早期视力丧失的一个较好拟合模型。
