Literature DB >> 25642648

Binocular visual field impairment in glaucoma and at-fault motor vehicle collisions.

Gerald McGwin1, Carrie Huisingh, Shelly G Jain, Christopher A Girkin, Cynthia Owsley.   

Abstract

PURPOSE: To evaluate the association between the binocular visual field defects in drivers with glaucoma and the risk of motor vehicle collision (MVC) involvement.
METHODS: A retrospective cohort study was conducted on 438 drivers with glaucoma aged 55 years or older using data from 1994 through 2000. Demographic, clinical, and driving characteristics were obtained from chart abstractions and patient survey. Binocular field measures were generated by combining data from the monocular (central 24-degree radius) fields whereby the binocular field measure was defined as the more sensitive point at each monocular field location. Measures included threshold (TH), total deviation (TD), and pattern deviation (PD); severe impairment in these measures was defined as falling into the worst quartile. MVC data were obtained from police records. Rate ratios (RR) and 95% confidence intervals (CI) were calculated.
RESULTS: Drivers with severely impaired PD measures were twice as likely to have an at-fault MVC compared with those not severely impaired (RR, 2.13; 95% CI, 1.21-3.75); those with severely impaired TH (RR, 1.49; 95% CI, 0.81-2.74) and TD (RR, 1.50; 95% CI, 0.82-2.74) also had an increased rate of at-fault MVCs, although these were not significant. When the binocular central visual field was stratified into 9 regions, drivers with impaired TH, TD, or PD had similarly elevated MVC rates in all regions compared with those not severely impaired, though not all reached statistical significance.
CONCLUSIONS: On the basis of clinical measures of visual field routinely used in the management of glaucoma, drivers with glaucoma with severe PD field defects in the binocular field have a higher rate of at-fault MVC compared with those with less impaired or unimpaired binocular visual fields.

Entities:  

Mesh:

Year:  2015        PMID: 25642648      PMCID: PMC4314613          DOI: 10.1097/IJG.0b013e3182a0761c

Source DB:  PubMed          Journal:  J Glaucoma        ISSN: 1057-0829            Impact factor:   2.503


  26 in total

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3.  The association between primary open-angle glaucoma and motor vehicle collisions.

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Journal:  Arch Ophthalmol       Date:  1997-06

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Journal:  Br J Ophthalmol       Date:  1999-05       Impact factor: 4.638

6.  Is glaucoma associated with motor vehicle collision involvement and driving avoidance?

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Authors:  Tanja R M Coeckelbergh; Frans W Cornelissen; Wiebo H Brouwer; Aart C Kooijman
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9.  Racial differences in the cause-specific prevalence of blindness in east Baltimore.

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10.  Incidence of visual field loss in 20,000 eyes and its relationship to driving performance.

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  16 in total

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Authors:  Carrie Huisingh; Gerald McGwin; Joanne Wood; Cynthia Owsley
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2.  Stage of visual field loss and age at diagnosis in 1988 patients with different glaucomas: implications for glaucoma screening and driving ability.

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3.  Medical review licensing outcomes in drivers with visual field loss in Victoria, Australia.

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4.  Glaucoma and driving: Are we documenting driving status and advising patients with glaucoma appropriately about their driving?

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5.  Use of Virtual Reality Simulation to Identify Vision-Related Disability in Patients With Glaucoma.

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6.  Association between Glaucoma and At-fault Motor Vehicle Collision Involvement among Older Drivers: A Population-based Study.

Authors:  MiYoung Kwon; Carrie Huisingh; Lindsay A Rhodes; Gerald McGwin; Joanne M Wood; Cynthia Owsley
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7.  Risk Factors for Motor Vehicle Collisions in Patients with Primary Open-Angle Glaucoma: A Multicenter Prospective Cohort Study.

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8.  Glaucoma and Driving Risk under Simulated Fog Conditions.

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10.  Effect of glaucoma on eye movement patterns and laboratory-based hazard detection ability.

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