Literature DB >> 29635922

Driving with Parkinson's disease: Cut points for clinical predictors of on-road outcomes: La conduite automobile et la maladie de Parkinson : Points de découpage pour les prédicteurs clinique des résultats des épreuves sur route.

Liliana Alvarez, Sherrilene Classen.   

Abstract

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder that impacts a person's fitness to drive. Practitioners require a sensitive and predictive battery of clinical tests to identify at-risk drivers.
PURPOSE: This study aimed to identify clinical predictors and their optimal cut points, sensitivity, specificity, and predictive values of on-road outcomes in drivers with PD.
METHOD: Participants ( N = 101) underwent a comprehensive driving evaluation. We identified predictors of pass/fail outcomes through logistic regression and computed optimal cut points through receiver operating characteristic curves and corresponding Youden indexes.
FINDINGS: The Trail Making Test Part B (Trails B; sensitivity = .89, specificity = .74; positive predictive value [PPV] = .71; negative predictive value [NPV] = .91) and contrast sensitivity (sensitivity = .82, specificity = .63; PPV = .61; NPV = .84) emerged as significant predictors. The optimal cut point for the Trails B was 108 s (area under the curve = .86). IMPLICATIONS: Occupational therapists can benefit from implementing Trails B and contrast sensitivity screening as part of in-office screening of potentially at-risk drivers with PD.

Entities:  

Keywords:  Aptitude à conduire; Assessment; Automobile driving; Conduite automobile; Consumer participation; Fitness to drive; Neurodegenerative disorders; Participation des consommateurs; Troubles neurodégénératifs; Évaluation

Mesh:

Year:  2018        PMID: 29635922     DOI: 10.1177/0008417418755458

Source DB:  PubMed          Journal:  Can J Occup Ther        ISSN: 0008-4174            Impact factor:   1.614


  3 in total

1.  Predicting Autonomous Shuttle Acceptance in Older Drivers Based on Technology Readiness/Use/Barriers, Life Space, Driving Habits, and Cognition.

Authors:  Sherrilene Classen; Justin R Mason; Seung Woo Hwangbo; Virginia Sisiopiku
Journal:  Front Neurol       Date:  2021-12-02       Impact factor: 4.003

2.  Association of Photopic and Mesopic Contrast Sensitivity in older drivers with risk of motor vehicle collision using naturalistic driving data.

Authors:  Cynthia Owsley; Thomas Swain; Rong Liu; Gerald McGwin; Mi Young Kwon
Journal:  BMC Ophthalmol       Date:  2020-02-04       Impact factor: 2.209

Review 3.  Management of Visual Dysfunction in Patients with Parkinson's Disease.

Authors:  Joseph Savitt; Rachid Aouchiche
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

  3 in total

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