Department of Ophthalmology, University of Bonn, Bonn, Germany.
PLoS One. 2020 Apr 16;15(4):e0231748. doi: 10.1371/journal.pone.0231748. eCollection 2020.
The purpose of the study was to evaluate the diagnostic accuracy of visual function tests in intermediate age-related macular degeneration (iAMD). A total of 62 subjects (38 patients with iAMD and 24 controls) were included and underwent several functional assessments: Best-corrected visual acuity (BCVA), low luminance visual acuity (LLVA), visual acuity (VA) measured with the Moorfields Vanishing Optotypes Acuity Charts (MAC), contrast sensitivity with the Pelli-Robson test, reading speed using the International Reading Speed texts (IReST) and mesopic and dark-adapted microperimetry (S-MAIA, CenterVue, Padova, Italy). Groups were compared using non-parametric Wilcoxon rank sum tests and ROC analyses. Linear regression was used to control for confounding. Results showed that all visual function test performances except the IReST were significantly reduced in iAMD patients compared to controls (p < 0.05). These effects did not alter after controlling for age and sex. Best discrimination between iAMD and controls yield the combination of LLVA and contrast sensitivity as well as MAC-VA and contrast sensitivity (ROC area under the curve 0.95 and 0.93, respectively). Our results suggest that LLVA, MAC-VA, contrast sensitivity and mesopic and dark-adapted microperimetry can capture visual impairment characteristic for iAMD. Best discrimination against iAMD is achieved with a combination of two tests.
本研究旨在评估视觉功能测试在中间年龄相关性黄斑变性(iAMD)中的诊断准确性。共纳入 62 名受试者(38 名 iAMD 患者和 24 名对照者),并进行了多项功能评估:最佳矫正视力(BCVA)、低亮度视力(LLVA)、Moorfields 消失视标视力图表(MAC)测量的视力(VA)、Pelli-Robson 测试的对比敏感度、使用国际阅读速度文本(IReST)的阅读速度和中间光和暗适应微视野计(S-MAIA,CenterVue,帕多瓦,意大利)。使用非参数 Wilcoxon 秩和检验和 ROC 分析比较组。使用线性回归控制混杂因素。结果表明,与对照组相比,iAMD 患者的所有视觉功能测试表现均显著降低,除 IReST 外(p<0.05)。在控制年龄和性别后,这些影响并未改变。对 iAMD 和对照组的最佳区分产生了 LLVA 和对比敏感度以及 MAC-VA 和对比敏感度的组合(ROC 曲线下面积分别为 0.95 和 0.93)。我们的结果表明,LLVA、MAC-VA、对比敏感度以及中间光和暗适应微视野计可以捕获 iAMD 特有的视觉障碍。通过两项测试的组合可以实现对 iAMD 的最佳区分。