Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study
Identifieur interne : 001E24 ( Istex/Corpus ); précédent : 001E23; suivant : 001E25Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study
Auteurs : Nico J. Diederich ; Vannina Pieri ; Géraldine Hipp ; Olivier Rufra ; Sara Blyth ; Michel VaillantSource :
- Movement Disorders [ 0885-3185 ] ; 2010-05-15.
English descriptors
Abstract
The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society
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DOI: 10.1002/mds.22963
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ISTEX:0C03FFD2C797BFC0C592272E2B4DC5F45873C636Le document en format XML
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Diederich</name><affiliation><mods:affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation><affiliation><mods:affiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation></author><author><name sortKey="Pieri, Vannina" sort="Pieri, Vannina" uniqKey="Pieri V" first="Vannina" last="Pieri">Vannina Pieri</name><affiliation><mods:affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation></author><author><name sortKey="Hipp, Geraldine" sort="Hipp, Geraldine" uniqKey="Hipp G" first="Géraldine" last="Hipp">Géraldine Hipp</name><affiliation><mods:affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation></author><author><name sortKey="Rufra, Olivier" sort="Rufra, Olivier" uniqKey="Rufra O" first="Olivier" last="Rufra">Olivier Rufra</name><affiliation><mods:affiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation></author><author><name sortKey="Blyth, Sara" sort="Blyth, Sara" uniqKey="Blyth S" first="Sara" last="Blyth">Sara Blyth</name><affiliation><mods:affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation></author><author><name sortKey="Vaillant, Michel" sort="Vaillant, Michel" uniqKey="Vaillant M" first="Michel" last="Vaillant">Michel Vaillant</name><affiliation><mods:affiliation>Centre of Health Studies, Clinical Epidemiology, CRP Santé, Luxembourg‐City, Luxembourg</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:0C03FFD2C797BFC0C592272E2B4DC5F45873C636</idno><date when="2010" year="2010">2010</date><idno type="doi">10.1002/mds.22963</idno><idno type="url">https://api.istex.fr/document/0C03FFD2C797BFC0C592272E2B4DC5F45873C636/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001E24</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Discriminative power of different nonmotor signs in early Parkinson's disease. 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Disord.</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2010-05-15">2010-05-15</date><biblScope unit="vol">25</biblScope><biblScope unit="issue">7</biblScope><biblScope unit="page" from="882">882</biblScope><biblScope unit="page" to="887">887</biblScope></imprint><idno type="ISSN">0885-3185</idno></series><idno type="istex">0C03FFD2C797BFC0C592272E2B4DC5F45873C636</idno><idno type="DOI">10.1002/mds.22963</idno><idno type="ArticleID">MDS22963</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Parkinson's disease</term><term>REM sleep atonia</term><term>hyposmia</term><term>nonmotor signs</term><term>visual deficits</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Nico J. Diederich MD</name><affiliations><json:string>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</json:string><json:string>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</json:string></affiliations></json:item><json:item><name>Vannina Pieri PhD</name><affiliations><json:string>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</json:string></affiliations></json:item><json:item><name>Géraldine Hipp PhD</name><affiliations><json:string>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</json:string></affiliations></json:item><json:item><name>Olivier Rufra RN</name><affiliations><json:string>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</json:string></affiliations></json:item><json:item><name>Sara Blyth</name><affiliations><json:string>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</json:string></affiliations></json:item><json:item><name>Michel Vaillant MPH</name><affiliations><json:string>Centre of Health Studies, Clinical Epidemiology, CRP Santé, Luxembourg‐City, Luxembourg</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Parkinson's disease</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>nonmotor signs</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>visual deficits</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>REM sleep atonia</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>hyposmia</value></json:item></subject><language><json:string>eng</json:string></language><abstract>The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society</abstract><qualityIndicators><score>5.5</score><pdfVersion>1.3</pdfVersion><pdfPageSize>612 x 810 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1393</abstractCharCount><pdfWordCount>3028</pdfWordCount><pdfCharCount>19631</pdfCharCount><pdfPageCount>6</pdfPageCount><abstractWordCount>206</abstractWordCount></qualityIndicators><title>Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study</title><genre><json:string>Serial article</json:string></genre><host><volume>25</volume><pages><total>6</total><last>887</last><first>882</first></pages><issn><json:string>0885-3185</json:string></issn><issue>7</issue><subject><json:item><value>Research Article</value></json:item></subject><genre></genre><language><json:string>unknown</json:string></language><title>Movement Disorders</title><doi><json:string>10.1002/(ISSN)1531-8257</json:string></doi></host><publicationDate>2010</publicationDate><copyrightDate>2010</copyrightDate><doi><json:string>10.1002/mds.22963</json:string></doi><id>0C03FFD2C797BFC0C592272E2B4DC5F45873C636</id><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/0C03FFD2C797BFC0C592272E2B4DC5F45873C636/fulltext/pdf</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/0C03FFD2C797BFC0C592272E2B4DC5F45873C636/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/0C03FFD2C797BFC0C592272E2B4DC5F45873C636/fulltext/tei"><teiHeader type="text"><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><availability><p>Wiley Subscription Services, Inc., A Wiley Company</p></availability><date>2010</date></publicationStmt><notesStmt><note>Supplemental matter.</note><note type="content">*Potential conflict of interest: Nothing to report.</note><note>Fonds National de Recherche - No. BIOSAN/PROVIE/06/04/05;</note><note>Luxembourg Parkinson Association</note><note>Foundation Think, Luxembourg</note><note>FAAN Rush University Medical Center, Chicago (USA)</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study</title><author><persName><forename type="first">Nico J.</forename><surname>Diederich</surname><roleName type="degree">MD</roleName></persName><note type="correspondence"><p>Correspondence: Department of Neurosciences, Centre Hospitalier de Luxembourg, 4, rue Barblé, Luxembourg‐City, Luxembourg L‐1210</p></note><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><affiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation></author><author><persName><forename type="first">Vannina</forename><surname>Pieri</surname><roleName type="degree">PhD</roleName></persName><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation></author><author><persName><forename type="first">Géraldine</forename><surname>Hipp</surname><roleName type="degree">PhD</roleName></persName><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation></author><author><persName><forename type="first">Olivier</forename><surname>Rufra</surname><roleName type="degree">RN</roleName></persName><affiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation></author><author><persName><forename type="first">Sara</forename><surname>Blyth</surname></persName><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation></author><author><persName><forename type="first">Michel</forename><surname>Vaillant</surname><roleName type="degree">MPH</roleName></persName><affiliation>Centre of Health Studies, Clinical Epidemiology, CRP Santé, Luxembourg‐City, Luxembourg</affiliation></author></analytic><monogr><title level="j">Movement Disorders</title><title level="j" type="abbrev">Mov. Disord.</title><idno type="pISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><idno type="DOI">10.1002/(ISSN)1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2010-05-15"></date><biblScope unit="vol">25</biblScope><biblScope unit="issue">7</biblScope><biblScope unit="page" from="882">882</biblScope><biblScope unit="page" to="887">887</biblScope></imprint></monogr><idno type="istex">0C03FFD2C797BFC0C592272E2B4DC5F45873C636</idno><idno type="DOI">10.1002/mds.22963</idno><idno type="ArticleID">MDS22963</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2010</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Parkinson's disease</term></item><item><term>nonmotor signs</term></item><item><term>visual deficits</term></item><item><term>REM sleep atonia</term></item><item><term>hyposmia</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>Article category</head><item><term>Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2009-09-02">Received</change><change when="2009-11-17">Registration</change><change when="2010-05-15">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/0C03FFD2C797BFC0C592272E2B4DC5F45873C636/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Wiley Subscription Services, Inc., A Wiley Company</publisherName><publisherLoc>Hoboken</publisherLoc></publisherInfo><doi registered="yes">10.1002/(ISSN)1531-8257</doi><issn type="print">0885-3185</issn><issn type="electronic">1531-8257</issn><idGroup><id type="product" value="MDS"></id></idGroup><titleGroup><title type="main" xml:lang="en" sort="MOVEMENT DISORDERS">Movement Disorders</title><title type="short">Mov. 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A case–control study<link href="#fn1"></link></title><title type="short" xml:lang="en">Nonmotor Signs in Early Parkinson's Disease</title></titleGroup><creators><creator xml:id="au1" creatorRole="author" affiliationRef="#af1 #af2" corresponding="yes"><personName><givenNames>Nico J.</givenNames><familyName>Diederich</familyName><degrees>MD</degrees></personName><contactDetails><email>diederdn@pt.lu</email><email>diederich.nico@chl.lu</email></contactDetails></creator><creator xml:id="au2" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Vannina</givenNames><familyName>Pieri</familyName><degrees>PhD</degrees></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Géraldine</givenNames><familyName>Hipp</familyName><degrees>PhD</degrees></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Olivier</givenNames><familyName>Rufra</familyName><degrees>RN</degrees></personName></creator><creator xml:id="au5" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Sara</givenNames><familyName>Blyth</familyName></personName></creator><creator xml:id="au6" creatorRole="author" affiliationRef="#af3"><personName><givenNames>Michel</givenNames><familyName>Vaillant</familyName><degrees>MPH</degrees></personName></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="LU" type="organization"><unparsedAffiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="LU" type="organization"><unparsedAffiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</unparsedAffiliation></affiliation><affiliation xml:id="af3" countryCode="LU" type="organization"><unparsedAffiliation>Centre of Health Studies, Clinical Epidemiology, CRP Santé, Luxembourg‐City, Luxembourg</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en" type="author"><keyword xml:id="kwd1">Parkinson's disease</keyword><keyword xml:id="kwd2">nonmotor signs</keyword><keyword xml:id="kwd3">visual deficits</keyword><keyword xml:id="kwd4">REM sleep atonia</keyword><keyword xml:id="kwd5">hyposmia</keyword></keywordGroup><fundingInfo><fundingAgency>Fonds National de Recherche</fundingAgency><fundingNumber>BIOSAN/PROVIE/06/04/05</fundingNumber></fundingInfo><fundingInfo><fundingAgency>Luxembourg Parkinson Association</fundingAgency></fundingInfo><fundingInfo><fundingAgency>Foundation Think, Luxembourg</fundingAgency></fundingInfo><fundingInfo><fundingAgency>FAAN Rush University Medical Center, Chicago (USA)</fundingAgency></fundingInfo><supportingInformation><supportingInfoItem><mediaResource alt="supporting information" href="urn-x:wiley:08853185:media:mds22963:22963suppmat"></mediaResource><caption>Supplemental matter.</caption></supportingInfoItem></supportingInformation><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><p>Potential conflict of interest: Nothing to report.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><!--Version 0.6 générée le 3-12-2015--><mods version="3.6"><titleInfo lang="en"><title>Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Nonmotor Signs in Early Parkinson's Disease</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study</title></titleInfo><name type="personal"><namePart type="given">Nico J.</namePart><namePart type="family">Diederich</namePart><namePart type="termsOfAddress">MD</namePart><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><affiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><description>Correspondence: Department of Neurosciences, Centre Hospitalier de Luxembourg, 4, rue Barblé, Luxembourg‐City, Luxembourg L‐1210</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Vannina</namePart><namePart type="family">Pieri</namePart><namePart type="termsOfAddress">PhD</namePart><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Géraldine</namePart><namePart type="family">Hipp</namePart><namePart type="termsOfAddress">PhD</namePart><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Olivier</namePart><namePart type="family">Rufra</namePart><namePart type="termsOfAddress">RN</namePart><affiliation>Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sara</namePart><namePart type="family">Blyth</namePart><affiliation>Department of Neurosciences, Centre Hospitalier de Luxembourg, Luxembourg‐City, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Michel</namePart><namePart type="family">Vaillant</namePart><namePart type="termsOfAddress">MPH</namePart><affiliation>Centre of Health Studies, Clinical Epidemiology, CRP Santé, Luxembourg‐City, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre authority="originalCategForm">article</genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2010-05-15</dateIssued><dateCaptured encoding="w3cdtf">2009-09-02</dateCaptured><dateValid encoding="w3cdtf">2009-11-17</dateValid><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">2</extent><extent unit="tables">3</extent><extent unit="references">29</extent><extent unit="words">3951</extent></physicalDescription><abstract lang="en">The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society</abstract><note type="additional physical form">Supplemental matter.</note><note type="content">*Potential conflict of interest: Nothing to report.</note><note type="funding">Fonds National de Recherche - No. BIOSAN/PROVIE/06/04/05; </note><note type="funding">Luxembourg Parkinson Association</note><note type="funding">Foundation Think, Luxembourg</note><note type="funding">FAAN Rush University Medical Center, Chicago (USA)</note><subject lang="en"><genre>Keywords</genre><topic>Parkinson's disease</topic><topic>nonmotor signs</topic><topic>visual deficits</topic><topic>REM sleep atonia</topic><topic>hyposmia</topic></subject><relatedItem type="host"><titleInfo><title>Movement Disorders</title></titleInfo><titleInfo type="abbreviated"><title>Mov. Disord.</title></titleInfo><subject><genre>article category</genre><topic>Research Article</topic></subject><identifier type="ISSN">0885-3185</identifier><identifier type="eISSN">1531-8257</identifier><identifier type="DOI">10.1002/(ISSN)1531-8257</identifier><identifier type="PublisherID">MDS</identifier><part><date>2010</date><detail type="volume"><caption>vol.</caption><number>25</number></detail><detail type="issue"><caption>no.</caption><number>7</number></detail><extent unit="pages"><start>882</start><end>887</end><total>6</total></extent></part></relatedItem><identifier type="istex">0C03FFD2C797BFC0C592272E2B4DC5F45873C636</identifier><identifier type="DOI">10.1002/mds.22963</identifier><identifier type="ArticleID">MDS22963</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2010 Movement Disorder Society</accessCondition><recordInfo><recordOrigin>Wiley Subscription Services, Inc., A Wiley Company</recordOrigin><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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