Journal article
A Method to Measure the Rate of Glaucomatous Visual Field Change
Translational vision science & technology, Vol.7(6), pp.14-14
11/2018
DOI: 10.1167/tvst.7.6.14
PMCID: PMC6269135
PMID: 30519499
Abstract
To develop a method to measure the rate of glaucomatous visual field (VF) deterioration and to identify fast progressors.
Retrospective, longitudinal, observational study of 8486 eyes of 4610 glaucomatous patients with ≥6 VFs and ≥3 years of follow-up. A Glaucoma Rate Index (GRI) was calculated. VF locations were partitioned into exponential decay or exponential improvement models. A pointwise rate of change (PRC) was estimated with an exponential fit and expressed as the percent/year change of the age- and location-matched normal perimetric range, presented as a spatially conserved VF map. PRCs were summed and normalized with boundary rates set by simulated decaying and improving VF series on a scale of -100 to +100, respectively.
A total of 89,704 VF examinations with 425,039 test location series was used. Median follow-up and number of VFs/eye were 9.7 years and 9 VFs, respectively. Initial and final mean deviations (±SD) were -4.2 (±5.2) and -5.7 (±6.4) dB. The proportions of test locations designated as decayed, improved, and unchanged were 13%, 4%, and 83%, respectively. Mean PRCs for decay, improvement, and no change were -3.7 (±4.7)%/y, 2.5 (±2.6)%/y, and -0.5 (±2.1)%/y, respectively. The number of eyes with negative and positive GRIs was 5802 (68%) and 2390 eyes (28%), respectively. The proportion of eyes defined as fast progressors was 6.8%.
GRI provides a robust measure of glaucomatous VF change, operates without discontinuity over the entire perimetric range, and can be used to identify fast progressors.
This study describes a novel method that can help the clinician to determine VF progression.
Details
- Title: Subtitle
- A Method to Measure the Rate of Glaucomatous Visual Field Change
- Creators
- Joseph Caprioli - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USALilian Mohamed - Department of Ophthalmology, Cairo University Faculty of Medicine, Cairo, EgyptEsteban Morales - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USAAlessandro Rabiolo - Department of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, ItalyNathaniel Sears - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USAHirunpatravong Pradtana - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USAReza Alizadeh - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USAFei Yu - Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USAAbdelmonem A Afifi - Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USAAnne L Coleman - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USAKouros Nouri-Mahdavi - Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Resource Type
- Journal article
- Publication Details
- Translational vision science & technology, Vol.7(6), pp.14-14
- DOI
- 10.1167/tvst.7.6.14
- PMID
- 30519499
- PMCID
- PMC6269135
- NLM abbreviation
- Transl Vis Sci Technol
- ISSN
- 2164-2591
- eISSN
- 2164-2591
- Language
- English
- Date published
- 11/2018
- Academic Unit
- Ophthalmology and Visual Sciences
- Record Identifier
- 9984111206402771
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