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Characterization of Visual Function, Interocular Variability and Progression Using Static Perimetry-Derived Metrics
James J L Tee1,2, Yesa Yang1,2, Angelos Kalitzeos1,2
1UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Retinitis pigmentosa GTPase regulator (RPGR) gene mutations show good interocular symmetry in visual function, though individual variation exists. This finding aids in designing RPGR gene mutation clinical trials and offers prognostic insights.
Area of Science:
- Ophthalmology
- Genetics
- Visual Neuroscience
Background:
- Retinitis pigmentosa (RP) is a group of inherited retinal diseases.
- Mutations in the retinitis pigmentosa GTPase regulator (RPGR) gene are a common cause of X-linked RP.
- Understanding visual function, variability, and progression in RPGR-associated RP is crucial for patient management and therapeutic development.
Purpose of the Study:
- To characterize bilateral visual function in subjects with RPGR gene mutations.
- To assess interocular variability and progression using static perimetry-derived metrics.
- To provide prognostic information for patients with RPGR-associated RP.
Main Methods:
- Prospective longitudinal observational study of 47 genetically confirmed subjects.
- Assessment of visual function using ETDRS charts, Pelli-Robson charts, and Octopus 900 static perimetry with a 185-point grid.
- Generation of 3D hill-of-vision models and analysis of volumetric metrics (VTotal, V30, V5) and mean sensitivity; interocular differences assessed using Bland-Altman method.
Main Results:
- Good baseline interocular symmetry observed (1% for VTotal, 8% for V30).
- Subject percentage interocular difference (SPID) varied (16% for VTotal, 17% for V30).
- Interocular symmetry in progression was notable (73% for VTotal, 64% for V30); an overall annual decline of 6% was observed.
Conclusions:
- Generally good interocular symmetry in visual function exists in RPGR-associated RP, with some inter-subject variability.
- Findings support patient selection for clinical trials and provide prognostic guidance for clinicians.
- Volumetric and pointwise metrics from static perimetry are valuable for characterizing disease progression.
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