September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Predicting Patient-Reported Disability in Glaucoma from Results of Standard Automated Perimetry
Author Affiliations & Notes
  • Ricardo Yuji Abe
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California San Diego, La Jolla, California, United States
    Department of Ophthalmology, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil
  • Alberto Diniz-Filho
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California San Diego, La Jolla, California, United States
  • Carolina Pelegrini Gracitelli
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California San Diego, La Jolla, California, United States
  • Felipe A Medeiros
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California San Diego, La Jolla, California, United States
  • Footnotes
    Commercial Relationships   Ricardo Abe, None; Alberto Diniz-Filho, None; Carolina Gracitelli, None; Felipe Medeiros, Alcon Laboratories Inc (F), Alcon Laboratories Inc (R), Allergan Inc (F), Allergan Inc (R), Allergan Inc (C), Bausch & Lomb (F), Carl Zeiss Meditec Inc (F), Carl Zeiss Meditec Inc (R), Carl Zeiss Meditec Inc (C), Heidelberg Engineering Inc (F), Merck Inc (F), National Eye Institute (F), Novartis (C), Reichert Inc (R), Sensimed (F), Topcon Inc (F)
  • Footnotes
    Support  NIH grants EY021818 and EY025056, NIH core grant P30EY022589
Investigative Ophthalmology & Visual Science September 2016, Vol.57, No Pagination Specified. doi:
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      Ricardo Yuji Abe, Alberto Diniz-Filho, Carolina Pelegrini Gracitelli, Felipe A Medeiros; Predicting Patient-Reported Disability in Glaucoma from Results of Standard Automated Perimetry. Invest. Ophthalmol. Vis. Sci. 201657(12):.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To determine factors associated with development of visual disability in glaucoma, as assessed by patient-reported quality of life outcomes.

Methods : The study included 236 glaucoma patients followed for an average of 4.3 ± 1.5 years. Patient-reported quality of life was assessed by the National Eye Institute Visual Function Questionnaire (NEI VFQ-25) at baseline and at the end of follow-up. Patients were classified into two distinct classes according to presence of visual disability (yes/no) from responses to the NEI VFQ-25 at each time point (baseline and last follow-up). Latent transition analysis was used to investigate the probability of changing classes during follow-up and a survival model was used to evaluate factors associated with transitioning from non-disability to disability. Subjects also had an average of 9.0 ± 4.3 visual field tests with standard automated perimetry (24-2) during follow-up. Rates of visual field loss were estimated by linear regression.

Results : At baseline, 67 of 236 (28%) of glaucoma patients were classified with visual disability, whereas 169 (72%) were classified as non-disabled, based on NEI VFQ-25 results. Glaucoma subjects classified as non-disabled had 86% chance of remaining in this classification and 14% chance of transitioning to disability during follow-up. Baseline disease severity and the magnitude of visual field loss during follow-up in the better eye were associated with risk of developing visual disability. Each 1dB greater loss of MD in the better eye was associated with 18% increased risk of developing visual disability (P=0.013). A multivariable model had survival-adjusted R2 of 51% for predicting visual disability.

Conclusions : Baseline disease severity and the magnitude of visual field loss over time are predictive of disability, as assessed by patient-reported quality of life outcomes in glaucoma.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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