Predictors of driving assessment outcome in Parkinson's disease
Identifieur interne : 001757 ( Istex/Corpus ); précédent : 001756; suivant : 001758Predictors of driving assessment outcome in Parkinson's disease
Auteurs : Charles J. Worringham ; Joanne M. Wood ; Graham K. Kerr ; Peter A. SilburnSource :
- Movement Disorders [ 0885-3185 ] ; 2006-02.
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- KwdEn :
Abstract
This study evaluated selected clinical and functional tests as predictors of driving safety outcomes in Parkinson's disease (PD) patients. A total of 25 PD patients and 21 age‐matched controls, all regular drivers, underwent neurological evaluation and assessment of cognitive, visual, and motor function and a standardized, on‐road driving assessment. The capacity of the tests to predict pass/fail driving outcomes was determined by selecting a subset with the highest predictive value from each domain and then subjecting these subsets to discriminant function analysis. Accuracy, sensitivity, specificity, and positive and negative predictive values were determined. Three relatively simple tests from the larger battery predicted passes with relatively high sensitivity (PD, 72.7%; controls, 93.8%; both combined, 85.2%); and moderate specificity (PD, 64.3%; controls, 60.0%; both combined. 63.2%). These tests assessed motor performance (Purdue Pegboard test), contrast sensitivity (Pelli–Robson test), and cognitive function (verbal version of Symbol Digit Modalities test). Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. These simple tests confer more objectivity and predictive power to clinical recommendations for driving, they reflect distinct functions that are necessary for safe driving, and they may be especially useful when on‐road assessments are not feasible. © 2005 Movement Disorder Society
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DOI: 10.1002/mds.20709
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ISTEX:AE613A062AEF01977732877E839C756420F5509ELe document en format XML
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Silburn</name><affiliation><mods:affiliation>School of Human Movement Studies, Queensland University of Technology, Queensland, Australia</mods:affiliation></affiliation><affiliation><mods:affiliation>Neurology Department, Princess Alexandra Hospital, Brisbane, Australia</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Movement Disorders</title><title level="j" type="abbrev">Mov. 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A total of 25 PD patients and 21 age‐matched controls, all regular drivers, underwent neurological evaluation and assessment of cognitive, visual, and motor function and a standardized, on‐road driving assessment. The capacity of the tests to predict pass/fail driving outcomes was determined by selecting a subset with the highest predictive value from each domain and then subjecting these subsets to discriminant function analysis. Accuracy, sensitivity, specificity, and positive and negative predictive values were determined. Three relatively simple tests from the larger battery predicted passes with relatively high sensitivity (PD, 72.7%; controls, 93.8%; both combined, 85.2%); and moderate specificity (PD, 64.3%; controls, 60.0%; both combined. 63.2%). These tests assessed motor performance (Purdue Pegboard test), contrast sensitivity (Pelli–Robson test), and cognitive function (verbal version of Symbol Digit Modalities test). Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. These simple tests confer more objectivity and predictive power to clinical recommendations for driving, they reflect distinct functions that are necessary for safe driving, and they may be especially useful when on‐road assessments are not feasible. © 2005 Movement Disorder Society</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Charles J. Worringham MA, PhD</name><affiliations><json:string>School of Human Movement Studies, Queensland University of Technology, Queensland, Australia</json:string></affiliations></json:item><json:item><name>Joanne M. Wood BSc, PhD</name><affiliations><json:string>School of Optometry, Queensland University of Technology, Queensland, Australia</json:string></affiliations></json:item><json:item><name>Graham K. 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Silburn PhD, FRACP</name><affiliations><json:string>School of Human Movement Studies, Queensland University of Technology, Queensland, Australia</json:string><json:string>Neurology Department, Princess Alexandra Hospital, Brisbane, Australia</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>vision</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>psychomotor performance</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>driving</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>prediction</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>risk factors</value></json:item></subject><language><json:string>eng</json:string></language><abstract>This study evaluated selected clinical and functional tests as predictors of driving safety outcomes in Parkinson's disease (PD) patients. A total of 25 PD patients and 21 age‐matched controls, all regular drivers, underwent neurological evaluation and assessment of cognitive, visual, and motor function and a standardized, on‐road driving assessment. The capacity of the tests to predict pass/fail driving outcomes was determined by selecting a subset with the highest predictive value from each domain and then subjecting these subsets to discriminant function analysis. Accuracy, sensitivity, specificity, and positive and negative predictive values were determined. Three relatively simple tests from the larger battery predicted passes with relatively high sensitivity (PD, 72.7%; controls, 93.8%; both combined, 85.2%); and moderate specificity (PD, 64.3%; controls, 60.0%; both combined. 63.2%). These tests assessed motor performance (Purdue Pegboard test), contrast sensitivity (Pelli–Robson test), and cognitive function (verbal version of Symbol Digit Modalities test). Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. 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Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. 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Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. 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A total of 25 PD patients and 21 age‐matched controls, all regular drivers, underwent neurological evaluation and assessment of cognitive, visual, and motor function and a standardized, on‐road driving assessment. The capacity of the tests to predict pass/fail driving outcomes was determined by selecting a subset with the highest predictive value from each domain and then subjecting these subsets to discriminant function analysis. Accuracy, sensitivity, specificity, and positive and negative predictive values were determined. Three relatively simple tests from the larger battery predicted passes with relatively high sensitivity (PD, 72.7%; controls, 93.8%; both combined, 85.2%); and moderate specificity (PD, 64.3%; controls, 60.0%; both combined. 63.2%). These tests assessed motor performance (Purdue Pegboard test), contrast sensitivity (Pelli–Robson test), and cognitive function (verbal version of Symbol Digit Modalities test). Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. These simple tests confer more objectivity and predictive power to clinical recommendations for driving, they reflect distinct functions that are necessary for safe driving, and they may be especially useful when on‐road assessments are not feasible. © 2005 Movement Disorder Society</abstract><note type="funding">Centre for Accident and Road Safety Research‐Queensland - No. CARRS‐Q 99039; </note><subject lang="en"><genre>Keywords</genre><topic>vision</topic><topic>psychomotor performance</topic><topic>driving</topic><topic>prediction</topic><topic>risk factors</topic></subject><relatedItem type="host"><titleInfo><title>Movement Disorders</title></titleInfo><titleInfo type="abbreviated"><title>Mov. 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