Predicting Visual Disability in Glaucoma With Combinations of Vision Measures

Area of Science:

• Ophthalmology
• Vision Science
• Gerontology

Background:

• Glaucoma is a leading cause of irreversible blindness.
• Understanding the dimensionality of vision in glaucoma is crucial for assessing disease impact.
• Existing visual measures may not fully capture the functional limitations experienced by patients.

Purpose of the Study:

• To determine the dimensionality of vision in glaucoma patients.
• To identify the optimal number and types of visual measures for modeling activity limitations.
• To assess the association between visual measures and quality of life in glaucoma.

Main Methods:

• Cross-sectional analysis of data from 150 older adults with glaucoma.
• Collected seven visual measures: integrated visual field (VF) sensitivity, visual acuity, contrast sensitivity (CS), area under the log CS function, color vision, stereoacuity, and visual acuity with noise.
• Employed principal component analysis for dimensionality and multivariable regression to model Glaucoma Quality of Life-15 (GQL-15) scores.

Main Results:

• All seven vision measures loaded onto a single principal component, explaining 56.9% of variance, indicating a multidimensional construct.
• Models using one, two, or three vision tests showed marginal increases in explained variance (adjusted R-squared up to 0.301).
• Contrast sensitivity (CS) was included in the best-performing models, suggesting its importance.

Conclusions:

• Vision in glaucoma is multidimensional, described by several correlated measures.
• Using more than two visual tests does not significantly enhance models of activity limitation.
• Visual field (VF) and contrast sensitivity (CS) are key measures for describing disability in glaucoma.