The Temporal Relation Between Rates of Retinal Nerve Fiber Layer and Minimum Rim Width Changes in Glaucoma.
Summary
MRW and RNFLT exhibit concurrent changes over time in patients with glaucoma, with no clinically significant time lag determined.
Abstract
PURPOSE
This study aims to determine whether OCT-derived rates of change in minimum rim width (MRW) are associated with and can potentially predict corresponding alterations in retinal nerve fiber layer thickness (RNFLT) in people with glaucoma.
METHODS
The rates of change between six-monthly visits were taken from 568 eyes of 278 participants in the P3 Study. Structural equation models (SEM) assessed whether one parameter was predicted by the concurrent or previous rate of the other parameter, after adjusting for its own rate in the previous time interval. Root mean square error of approximation (RMSEA, with 90% confidence intervals [CI]), Tucker Lewis index (TLI) and the comparative fit index (CFI) assessed goodness of fit.
RESULTS
Models without a time lag provided a better fit for the data (RMSEA = 0.101 [CI, 0.089, 0.113]), compared to a model featuring a time lag in RNFLT (RMSEA = 0.114 [CI, 0.102, 0.126]) or MRW (RMSEA = 0.114 [CI, 0.102, 0.127]). The SEMs indicated that rates for both MRW and RNFLT were predicted by their own rate in the previous time interval and by the other measure's change in the concurrent time interval (P > 0.001 for all). No evidence of a clinically significant time lag for either parameter was determined.
CONCLUSIONS
MRW and RNFLT exhibit concurrent changes over time in patients with glaucoma, with no clinically significant time lag determined.
TRANSLATIONAL RELEVANCE
RNFLT may be more useful than MRW in early glaucoma assessment because of its previously reported lower variability and reduced sensitivity to intraocular pressure changes.
More by Bethany E Higgins
View full profile →AI for glaucoma, Are we reporting well? a systematic literature review of DECIDE-AI checklist adherence.
Quality of Reporting Electronic Health Record Data in Glaucoma: A Systematic Literature Review.
Assessment of Time Lag Between Blood Flow, Retinal Nerve Fiber Layer Thickness and Visual Field Sensitivity Changes in Glaucoma.
Top Research in Optic Nerve & Disc
Browse all →Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.
Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma.
Inflammation in Glaucoma: From the back to the front of the eye, and beyond.
In the Knowledge Library
Discussion
Comments and discussion will appear here in a future update.