Hirneiß Christoph, Reznicek Lukas, Vogel Michaela, Pesudovs Konrad
Ludwig-Maximilians University, Department of Ophthalmology, Klinikum der Universität Muenchen, Campus Innenstadt, Munich, Germany.
PLoS One. 2013 Dec 3;8(12):e80757. doi: 10.1371/journal.pone.0080757. eCollection 2013.
To evaluate the impact of structural changes of the retinal nerve fiber layer (RNFL), and visual field loss, on functional impairment assessed by patient-reported visual functioning in glaucoma.
Patients with glaucomatous optic nerve damage were enrolled in this cross-sectional study. Peripapillary RNFL thickness was obtained with spectral-domain optical coherence tomography (SD-OCT). Function was assessed by patient-reported visual functioning using the Rasch-calibrated Glaucoma Activity Limitation 9 (GAL-9) questionnaire and standard automated perimetry. The impact of peripapillary RNFL loss on functional impairment was analyzed with correlation and linear regression analyses.
A total of 176 eyes from 88 glaucoma patients were included. The SD-OCT assessed temporal-superior and temporal-inferior RNFL sector of the worse eye revealed significant correlation with the GAL-9 scores (r=-0.298, p=0.011 and r=-0.251, p=0.033, respectively). In mutivariate regression analysis, the best predictors for patient-reported visual functioning were visual acuity of the better eye and mean defect of the worse eye (R(2)=0.334), while structural parameters could not enhance the prediction of GAL-9 scores.
Self-reported visual functioning of patients with glaucoma is better predicted by visual performance data than structural parameters. However, some structural changes of the worse eye are significantly correlated with patient-reported visual functioning.
评估视网膜神经纤维层(RNFL)结构变化和视野缺损对青光眼患者报告的视觉功能评估的功能损害的影响。
青光眼性视神经损伤患者纳入本横断面研究。采用光谱域光学相干断层扫描(SD-OCT)测量视乳头周围RNFL厚度。使用经过Rasch校准的青光眼活动受限9(GAL-9)问卷和标准自动视野检查法,通过患者报告的视觉功能评估功能。采用相关性分析和线性回归分析,分析视乳头周围RNFL丢失对功能损害的影响。
共纳入88例青光眼患者的176只眼。SD-OCT评估较差眼的颞上和颞下RNFL扇区与GAL-9评分显著相关(分别为r=-0.298,p=0.011和r=-0.251,p=0.033)。在多变量回归分析中,患者报告的视觉功能的最佳预测指标是较好眼的视力和较差眼的平均缺损(R(2)=0.334),而结构参数不能增强对GAL-9评分的预测。
与结构参数相比,视觉性能数据能更好地预测青光眼患者自我报告的视觉功能。然而,较差眼的一些结构变化与患者报告的视觉功能显著相关。