What Is the Amount of Visual Field Loss Associated With Disability in Glaucoma?

Published

Journal Article

PURPOSE: To propose a new methodology for classifying patient-reported outcomes in glaucoma and for quantifying the amount of visual field damage associated with disability in the disease. DESIGN: Cross-sectional study. METHODS: A total of 263 patients with glaucoma were included. Vision-related disability was assessed by the National Eye Institute Visual Function Questionnaire (NEI VFQ-25). A latent class analysis (LCA) model was applied to analyze NEI VFQ-25 data and patients were divided into mutually exclusive classes according to their responses to the questionnaires. Differences in standard automated perimetry (SAP) mean deviation (MD) and integrated binocular mean sensitivity (MS) values between classes were investigated. The optimal number of classes was defined based on goodness-of-fit criteria, interpretability, and clinical utility. RESULTS: The model with 2 classes, disabled and nondisabled, had the best fit with an entropy of 0.965, indicating excellent separation of classes. The disabled group had 48 (18%) patients, whereas 215 (82%) patients were classified as nondisabled. The average MD of the better eye in the disabled group was -5.98 dB vs -2.51 dB in the nondisabled group (P < .001). For the worse eye, corresponding values were -13.36 dB and -6.05 dB, respectively (P < .001). CONCLUSION: Application of an LCA model allowed categorization of patient-reported outcomes and quantification of visual field levels associated with disability in glaucoma. A damage of approximately -6 dB for SAP MD, indicating relatively early visual field loss, may already be associated with significant disability if occurring in the better eye.

Full Text

Duke Authors

Cited Authors

  • Jammal, AA; Ogata, NG; Daga, FB; Abe, RY; Costa, VP; Medeiros, FA

Published Date

  • January 2019

Published In

Volume / Issue

  • 197 /

Start / End Page

  • 45 - 52

PubMed ID

  • 30236774

Pubmed Central ID

  • 30236774

Electronic International Standard Serial Number (EISSN)

  • 1879-1891

Digital Object Identifier (DOI)

  • 10.1016/j.ajo.2018.09.002

Language

  • eng

Conference Location

  • United States