May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Quality-of-Vision Index: A New Method to Measure Visual Function in Age-Related Macular Degeneration
Author Affiliations & Notes
  • S. Piermarocchi
    Institute of Ophthalmology, University of Padova, Padova, Italy
  • M. Sartore
    Institute of Ophthalmology, University of Padova, Padova, Italy
  • M. Varano
    IRCSS, Fondazione Bietti, Rome, Italy
  • G. Virgili
    Department of Ophthalmology, University of Florence, Florence, Italy
  • F. Bandello
    Department of Ophthalmology, University of Udine, Udine, Italy
  • U. Menchini
    Department of Ophthalmology, University of Florence, Florence, Italy
  • Quality-of-Vision Study Group
    Institute of Ophthalmology, University of Padova, Padova, Italy
  • Footnotes
    Commercial Relationships S. Piermarocchi, None; M. Sartore, None; M. Varano, None; G. Virgili, None; F. Bandello, None; U. Menchini, None.
  • Footnotes
    Support None.
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 5106. doi:
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      S. Piermarocchi, M. Sartore, M. Varano, G. Virgili, F. Bandello, U. Menchini, Quality-of-Vision Study Group; Quality-of-Vision Index: A New Method to Measure Visual Function in Age-Related Macular Degeneration. Invest. Ophthalmol. Vis. Sci. 2007;48(13):5106.

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

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Abstract

Purpose:: To generate an algorithm capable to integrate different psycophysical tests in order to have a measure better correlated to the subjective perception of visual function.

Methods:: Two-hundred-ninety-four patients with bilateral advanced age-related macular degeneration, coming from 12 national centers, had been visited. Measurements regarding a) ETDRS visual acuity (VA), score b) Pelli-Robson Contrast Sensitivity (CS) score and c) MN-Read visual acuity for near vision (NV-VA), were collected and compared to the 25-item Visual Function Questionnaire (VFQ25) score. Multiple linear regression analysis among different variables was applied to obtain correlation coefficients. These were implemented in an algorithm model able to adjust ETDRS VA score in order to achieve best-fitted correlation to VFQ25 score.

Results:: Mean VA score was 49.63+14.32, mean CS score was 22.84+6.88, mean NV-VA logMAR 0.51+046. Correlation coefficients with VFQ25 score were 0.51, 0.49 and 0.36, respectively. After adjustment with a specific algorithm (Adjusted VA score = i + e (VA score) + c (SC score) + k (NV-VA logMAR) + k² (NV-VA logMAR)²), correlation coefficients showed a mean 20% improvement.

Conclusions:: A new algorithm has been proposed to adjust the ETDRS VA scores, by using Pelli-Robson CS score and MN-Read NV-VA. The adjusted ETDRS scores are better correlated to vision-related quality of life. This may represent a new tool capable to improve quality analysis of cost-effectiveness of new therapies for age-related macular degeneration.

Keywords: age-related macular degeneration • visual acuity • quality of life 
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