Baseline Fourier-Domain Optical Coherence Tomography Structural Risk Factors for Visual Field Progression in the Advanced Imaging for Glaucoma Study

Xinbo Zhang, Anna Dastiridou, Brian A. Francis, Ou Tan, Rohit Varma, David S. Greenfield, Joel S. Schuman, Mitra Sehi, Vikas Chopra, David Huang

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

Purpose To identify baseline structural parameters that predict the progression of visual field (VF) loss in patients with open-angle glaucoma. Design Multicenter cohort study. Methods Participants from the Advanced Imaging for Glaucoma (AIG) study were enrolled and followed up. VF progression is defined as either a confirmed progression event on Humphrey Progression Analysis or a significant (P < .05) negative slope for VF index (VFI). Fourier-domain optical coherence tomography (FDOCT) was used to measure optic disc, peripapillary retinal nerve fiber layer (NFL), and macular ganglion cell complex (GCC) thickness parameters. Results A total of 277 eyes of 188 participants were followed up for 3.7 ± 2.1 years. VF progression was observed in 83 eyes (30%). Several baseline NFL and GCC parameters, but not disc parameters, were found to be significant predictors of progression on univariate Cox regression analysis. The most accurate single predictors were the GCC focal loss volume (FLV), followed closely by NFL-FLV. An abnormal GCC-FLV at baseline increased risk of progression by a hazard ratio of 3.1. Multivariate Cox analysis showed that combining age and central corneal thickness with GCC-FLV in a composite index called “Glaucoma Composite Progression Index” (GCPI) further improved the accuracy of progression prediction. GCC-FLV and GCPI were both found to be significantly correlated with the annual rate of change in VFI. Conclusion Focal GCC and NFL loss as measured by FDOCT are the strongest predictors for VF progression among the measurements considered. Older age and thinner central corneal thickness can enhance the predictive power using the composite risk model.

Original languageEnglish (US)
Pages (from-to)94-103
Number of pages10
JournalAmerican journal of ophthalmology
Volume172
DOIs
StatePublished - Dec 1 2016

ASJC Scopus subject areas

  • Ophthalmology

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