September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Predicting Driving Performance under Simulated Fog Conditions in Glaucoma
Author Affiliations & Notes
  • Tung-Mei Kuang
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California, San Diego, La Jolla, California, United States
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan
  • Erwin R Boer
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California, San Diego, La Jolla, California, United States
  • Alberto Diniz-Filho
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California, San Diego, La Jolla, California, United States
  • Ahmed Elhosseiny
    Laboratory of Performance and Visual Function, Department of Ophthalmology, University of California, San Diego, La Jolla, California, United States
  • Masaki Nakanishi
    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   Tung-Mei Kuang, None; Erwin Boer, None; Alberto Diniz-Filho, None; Ahmed Elhosseiny, None; Masaki Nakanishi, None; Felipe Medeiros, Alcon Laboratories Inc (R), Alcon Laboratories Inc (F), 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), Reichert Inc (F), Sensimed (F), Topcon Inc (F)
  • Footnotes
    Support  National Institutes of Health/National Eye Institute grant EY021818 (F.A.M.), core grant P30EY022589; fellowship from Brazilian National Council for Scientific and Technological Development (CNPq) 233829/2014-8 (A.D.F.)
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 1965. doi:
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      Tung-Mei Kuang, Erwin R Boer, Alberto Diniz-Filho, Ahmed Elhosseiny, Masaki Nakanishi, Felipe A Medeiros; Predicting Driving Performance under Simulated Fog Conditions in Glaucoma. Invest. Ophthalmol. Vis. Sci. 2016;57(12):1965.

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

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Abstract

Purpose : Previous studies have shown glaucoma patients to be at higher risk for motor vehicle crashes. Driving under challenging conditions with decreased contrast such as under fog may be associated with increased risk. The purpose of this study was to investigate the driving performance of glaucoma patients under simulated fog conditions and the ability of a newly developed portable test of visual performance to predict driving performance in this situation.

Methods :

All subjects underwent high-fidelity driving simulation using a full-size Ford Fusion cab equipped with realistic force feedback steering and motion platform. The tests consisted of a curve negotiation task with and without fog preview at 30 meters of distance. Time to line crossing (TLC) was used as a metric of driving performance, defined as the distance between the center of the vehicle and the point at which the vehicle’s heading vector intersects one of the two lane edges. This metric quantifies a safety margin measuring the time available to the driver before the car would leave the lane. Subjects also had functional assessment with standard automated perimetry (SAP) and with the Performance-Centered Portable Test (PERCEPT). The PERCEPT is a dual visual performance task performed in low contrast, where the subject had to identify the orientation of the central target and the location of the peripheral target, which were presented simultaneously at the same time. Linear regression models were used to evaluate the association between results from SAP and PERCEPT and driving performance under fog conditions.

Results : The study included 15 patients with glaucomatous visual field and 16 control subjects. Mean age was not significantly different in the two groups (67.8 ± 12.5 years vs. 66.6 ± 11.0 years, respectively; P=0.580). PERCEPT processing speed was significantly higher in glaucoma patients than controls 730.7 ± 179.7 ms vs. 175.0 ± 90.3 ms, respectively; P=0.044). Longer PERCEPT processing speed was significantly associated with worse driving performance under fog in slow (P=0.047) and fast (P=0.015) velocities.

Conclusions : PERCEPT results were significantly associated with worse driving performance under simulated fog conditions 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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