Comparison of Online Visual Acuity Testing with Dynamic Dyop and Static LogMAR Optotypes in Healthy Non-Presbyopic and Presbyopic Individuals.

Clinical ophthalmology (Auckland, N.Z.) Pub Date : 2025-04-13 eCollection Date: 2025-01-01 DOI:10.2147/OPTH.S519947
Reut Ifrah, Dinah Paritzky
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引用次数: 0

Abstract

Introduction: Visual acuity (VA) is typically measured using stationary optotypes, though real-world visual experiences involve dynamic targets. The Dyop (dynamic optotype) VA test is a computerized motion perception assessment designed to simulate daily visual experiences. With the rise of telemedicine, this study examined the feasibility and agreement between virtual online VA testing using Dyop compared to standard LogMAR optotypes in non-presbyopic and presbyopic participants.

Methods: After an initial online Zoom® meeting verifying inclusion criteria and technical feasibility, participants accessed the examiner's computer using the "Anydesk" application enabling them to view the "Chart 2020" program. Monocular right eye VA was measured three consecutive times using Dyop and LogMAR optotypes in a counter-balanced design. Participants aged 18-39 yrs were considered non-presbyopic, and those 40-60 yrs were considered presbyopic. VA measurements were analyzed using the Mann-Whitney U-test, Spearman correlation coefficients, intraclass correlation coefficients (ICC), and non-parametric Bland-Altman analysis, which examined median differences and limits of agreement (LoA).

Results: Of the 110 participants, (70% females, mean age: 32.5 ± 13.0, range: 18-60), 73 (66%) were considered non-presbyopic (mean age: 24.1 ± 4.9, range: 18-39), and 37 (34%) were presbyopic (mean age: 49.0 ± 6.4, range: 40-60). The mean VA measured with the Dyop and LogMAR charts for the entire cohort (0.09 and 0.08), for the non-presbyopic (0.09 and 0.07) and the presbyopic (0.10 and 0.09) sub-groups was significantly positively correlated (r = 0.80, p < 0.001, r = 0.82, p < 0.001 and r = 0.72, p < 0.001, respectively), with a small mean difference (-0.01 ± 0.08, -0.02 ± 0.08, -0.01 ± 0.09 log units), for the entire cohort, the non-presbyopic, and the presbyopic, respectively. There were no significant differences between the two tests for the whole cohort (p = 0.80), for group 1 (p = 0.98) and for group 2 (p = 0.62).

Conclusion: This study demonstrated the feasibility of online VA measurements and that online VA measurements using Dyop and LogMAR optotypes are interchangeable in healthy non-presbyopic and presbyopic participants.

健康非老花眼和老花眼动态Dyop和静态LogMAR视敏度在线测试的比较
简介:视敏度(VA)通常是用静止视型测量的,尽管现实世界的视觉体验涉及动态目标。Dyop(动态视型)VA测试是一种计算机化的运动感知评估,旨在模拟日常视觉体验。随着远程医疗的兴起,本研究考察了在非老花眼和老花眼参与者中使用Dyop进行虚拟在线VA测试与标准LogMAR视型测试之间的可行性和一致性。方法:在首次在线Zoom®会议验证纳入标准和技术可行性后,参与者使用“Anydesk”应用程序访问审查员的计算机,使他们能够查看“Chart 2020”程序。使用Dyop和LogMAR视型在平衡设计中连续三次测量单眼右眼VA。18-39岁的参与者被认为是非老花眼,40-60岁的参与者被认为是老花眼。VA测量结果采用Mann-Whitney u检验、Spearman相关系数、类内相关系数(ICC)和非参数Bland-Altman分析进行分析,其中检验了中位数差异和一致限(LoA)。结果:在110名参与者中,(70%为女性,平均年龄:32.5±13.0,范围:18-60),73名(66%)为非老花眼(平均年龄:24.1±4.9,范围:18-39),37名(34%)为老花眼(平均年龄:49.0±6.4,范围:40-60)。均值与Dyop VA测量和LogMAR图表为整个队列(0.09和0.08),为non-presbyopic(0.09和0.07)和老花眼(0.10和0.09)群体呈显著正相关(r = 0.80, p < 0.001, r = 0.82, p < 0.001, r = 0.72, p < 0.001),与一个小平均差(-0.01±0.08,-0.02±0.08,-0.01±0.09日志单位),为整个群体,non-presbyopic,老花眼,分别。在整个队列(p = 0.80)、组1 (p = 0.98)和组2 (p = 0.62)中,两项测试之间无显著差异。结论:本研究证明了在线视差测量的可行性,并且使用Dyop和LogMAR视型的在线视差测量在健康的非老花眼和老花眼参与者中是可互换的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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