State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Department of Pediatric Ophthalmology, Guangzhou Children's Hospital and Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Ophthalmology. 2022 Jul;129(7):803-812. doi: 10.1016/j.ophtha.2022.03.001. Epub 2022 Mar 12.
To develop a classification system of visual field (VF) abnormalities in highly myopic eyes with and without glaucoma.
Secondary analysis of VF data from a longitudinal cohort study.
One thousand eight hundred ninety-three VF tests from 1302 eyes (825 individuals).
All participants underwent VF testing (Humphrey 24-2 Swedish interactive threshold algorithm standard program; Carl Zeiss Meditec) and detailed ophthalmic examination. A comprehensive set of VF defect patterns was defined via observation of the 1893 VF reports, literature review, and consensus meetings. The classification system comprised 4 major types of VF patterns, including normal type, glaucoma-like defects (paracentral defect, nasal step, partial arcuate defect, arcuate defect), high myopia-related defects (enlarged blind spot, vertical step, partial peripheral rim, nonspecific defect), and combined defects (nasal step with enlarged blind spot). A subset (n = 1000) of the VFs was used to evaluate the interobserver and intraobserver agreement and weighted κ values of the classification system by 2 trained readers. The prevalence of various VF patterns and their associated factors were determined.
The classification of VF in highly myopic eyes and its associated risk factors.
We found that normal type, glaucoma-like defects, high myopia-related defects, and combined defects accounted for 74.1%, 10.8%, 15.0%, and 0.1% of all unique VF tests, respectively. The interobserver and intraobserver agreements were > 89%, and the corresponding κ values were 0.86 or more between readers. Both glaucoma-like and high myopia-related VF defects were associated with older age (odds ratios [ORs], 1.07 [95% confidence interval (CI), 1.04-1.10; P < 0.001] and 1.06 [95% CI, 1.04-1.10; P < 0.001]) and longer axial length (ORs, 1.65 [95% CI, 1.32-2.07; P < 0.001] and 1.37 [95% CI, 1.11-1.68; P = 0.003]). Longer axial length showed a stronger effect on the prevalence of glaucoma-like VF defects than on the prevalence of high myopia-related VF defects (P = 0.036).
We propose a new and reproducible classification system of VF abnormalities for nonpathologic high myopia. Applying a comprehensive classification system will facilitate communication and comparison of findings among studies.
为伴有或不伴有青光眼的高度近视眼的视野(VF)异常开发一种分类系统。
对一项纵向队列研究的 VF 数据进行二次分析。
来自 1302 只眼(825 个人)的 1893 次 VF 检查。
所有参与者均接受 VF 检查(Humphrey 24-2 瑞典交互式阈值算法标准程序;卡尔蔡司医学技术公司)和详细的眼科检查。通过观察 1893 份 VF 报告、文献复习和共识会议,定义了一套全面的 VF 缺损模式。该分类系统包括 4 种主要的 VF 模式,包括正常类型、青光眼样缺陷(旁中心缺陷、鼻侧台阶、部分弓形缺陷、弓形缺陷)、高度近视相关缺陷(扩大的盲点、垂直台阶、部分周边边缘、非特异性缺陷)和联合缺陷(伴扩大盲点的鼻侧台阶)。对 1000 个 VF 子集进行评估,两名受过培训的读者评估了分类系统的观察者间和观察者内一致性以及加权 κ 值。确定了各种 VF 模式的患病率及其相关因素。
高度近视眼的 VF 分类及其相关危险因素。
我们发现,正常类型、青光眼样缺陷、高度近视相关缺陷和联合缺陷分别占所有独特 VF 检查的 74.1%、10.8%、15.0%和 0.1%。观察者间和观察者内的一致性均>89%,读者之间对应的 κ 值为 0.86 或更高。青光眼样和高度近视相关的 VF 缺陷均与年龄较大(比值比[ORs],1.07[95%置信区间(CI),1.04-1.10;P<0.001]和 1.06[95%CI,1.04-1.10;P<0.001])和眼轴较长(ORs,1.65[95%CI,1.32-2.07;P<0.001]和 1.37[95%CI,1.11-1.68;P=0.003])有关。眼轴较长对青光眼样 VF 缺陷的患病率影响大于对高度近视相关 VF 缺陷的患病率(P=0.036)。
我们提出了一种用于非病理性高度近视的新的、可重复的 VF 异常分类系统。应用全面的分类系统将有助于研究间的交流和比较。