July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Visual acuity under lighting conditions with suboptimal contrast and glare in diabetic patients without retinopathy
Author Affiliations & Notes
  • Kevin C Chen
    UCSD, San Diego, California, United States
  • Amit Meshi
    UCSD, San Diego, California, United States
  • Alexa Li
    Emory University, Atlanta, Georgia, United States
  • Qisheng You
    UCSD, San Diego, California, United States
  • Luke Saunders
    UCSD, San Diego, California, United States
  • Eric Nudleman
    UCSD, San Diego, California, United States
  • Maria L. Gomez
    UCSD, San Diego, California, United States
  • William R Freeman
    UCSD, San Diego, California, United States
  • Footnotes
    Commercial Relationships   Kevin Chen, None; Amit Meshi, None; Alexa Li, None; Qisheng You, None; Luke Saunders, None; Eric Nudleman, None; Maria Gomez, None; William Freeman, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 1885. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Kevin C Chen, Amit Meshi, Alexa Li, Qisheng You, Luke Saunders, Eric Nudleman, Maria L. Gomez, William R Freeman; Visual acuity under lighting conditions with suboptimal contrast and glare in diabetic patients without retinopathy. Invest. Ophthalmol. Vis. Sci. 2018;59(9):1885.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To measure visual acuity in lighting conditions simulating real-life with glare or low contrast in patients with diabetes prior to retinopathy. This information may help physicians counsel diabetic patients on the importance of optimal lighting even before a diagnosis of diabetic retinopathy is made.

Methods : Observational case-control study of consecutive adult patients with diabetes but without evidence of diabetic retinopathy on funduscopic exam or multimodal imaging compared to controls without diabetes. All patients had best corrected visual acuity (BCVA) testing using the Early Treatment for Diabetic Retinopathy Study (ETDRS) chart and Central Visual Analyzer (CVA). The CVA tests central vision under a variety of surroundings that resemble the varying contrast and luminance of real-life settings. The modules include high contrast situations (M1), reading in a dimly-lit environment (M2), driving at dusk (M3), reading high contrast optotypes with glare (G1), being outside with direct overhead sunlight (G2), and being outside with off-axis sunlight (G3).

Results : Sixty eyes from 32 patients (40.6% female) of mean age 56 years (range 51-61) were included in the study group and 79 eyes from 46 patients (37.0% female) of average age 59 years (range 54-63) were included in the control group. The study group had a mean logMAR BCVA (95% CI) of 0.14 (0.00 to 0.23), 0.40 (0.31 to 0.50), 0.55 (0.47 to 0.63), 0.32 (0.21-0.43), 0.49 (0.42 to 0.56), and 0.60 (0.53 to 0.67) for modules M1, M2, M3, G1, G2, and G3, respectively. The control group had a logMAR BCVA of 0.01 (-0.04 to 0.06), 0.20 (0.14 to 0.38), 0.33 (0.28-0.38), 0.04 (-0.01 to 0.09), 0.33 (0.27 to 0.38), and 0.40 (0.35 to 0.46) for modules M1, M2, M3, G1, G2, and G3, respectively. There was no significant difference in ETDRS BCVA between groups (p=0.49), but diabetics had a significantly decreased BCVA in all six CVA modules with p values ranging between <0.001 and 0.047.

Conclusions : Diabetic patients may have decreased visual acuity under conditions simulating real-life situations with suboptimal contrast and glare that precedes the onset of clinical diabetic retinopathy.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

Central visual analyzer logMAR best corrected visual acuity of diabetic patients without retinopathy and age-matched non-diabetic controls on the 6 modules (M1, M2, M3, G1, G2, G3). Squares represent mean and bars represent 95% confidence interval.

Central visual analyzer logMAR best corrected visual acuity of diabetic patients without retinopathy and age-matched non-diabetic controls on the 6 modules (M1, M2, M3, G1, G2, G3). Squares represent mean and bars represent 95% confidence interval.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×