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Demographic and motor features associated with the occurrence of neuropsychiatric and sleep complications of Parkinson's disease

Identifieur interne : 002222 ( Main/Corpus ); précédent : 002221; suivant : 002223

Demographic and motor features associated with the occurrence of neuropsychiatric and sleep complications of Parkinson's disease

Auteurs : Renato Puppi Munhoz ; Hélio A. Teive ; Hariklia Eleftherohorinou ; Lachlan J. Coin ; Andrew J. Lees ; Laura Silveira-Moriyama

Source :

RBID : ISTEX:AA6673435D5D050C24ADEBE4E5189ACE4C110471

Abstract

Objective To determine whether four key neuropsychiatric and sleep related features associated with Parkinson's disease (PD) are associated with the motor handicap and demographic data. Background The growing number of recognised non-motor features of PD makes routine screening of all these symptoms impractical. Here, we investigated the hypothesis that standard demographic data and the routine assessment of motor signs is associated with the presence of dementia, psychosis, clinically probable rapid eye movement (REM) sleep behavior disorder (cpRBD) and restless legs syndrome (RLS). Methods 775 patients with PD underwent standardised assessment of motor features and the presence of dementia, psychosis, cpRBD and RLS. A stepwise feature elimination procedure with fitted logistic regression models was applied to identify which/if any combination of demographic and motor factors is associated with each of the four studied non-motor features. A within-study out-of-sample estimate of the power of the predicted values of the models was calculated using standard evaluation procedures. Results Age and Hoehn&Yahr (H&Y) stage were strongly associated with the presence of dementia (p value<0.001 for both factors in the final selected model) while a combination of age, disease duration, H&Y stage, dopamine agonists and catechol-O-methyltransferase (COMT) inhibitors was associated with the presence of psychosis. Disease duration and H&Y stage were the significant indicators of cpRBD, and the lack of significant motor asymmetry was the only significant feature associated with RLS-type symptoms but the evidence of association was weak. Conclusions Demographic and motor features routinely collected in patients with PD can estimate the occurrence of neuropsychiatric and sleep-related features of PD.

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DOI: 10.1136/jnnp-2012-304440

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ISTEX:AA6673435D5D050C24ADEBE4E5189ACE4C110471

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<div type="abstract">Objective To determine whether four key neuropsychiatric and sleep related features associated with Parkinson's disease (PD) are associated with the motor handicap and demographic data. Background The growing number of recognised non-motor features of PD makes routine screening of all these symptoms impractical. Here, we investigated the hypothesis that standard demographic data and the routine assessment of motor signs is associated with the presence of dementia, psychosis, clinically probable rapid eye movement (REM) sleep behavior disorder (cpRBD) and restless legs syndrome (RLS). Methods 775 patients with PD underwent standardised assessment of motor features and the presence of dementia, psychosis, cpRBD and RLS. A stepwise feature elimination procedure with fitted logistic regression models was applied to identify which/if any combination of demographic and motor factors is associated with each of the four studied non-motor features. A within-study out-of-sample estimate of the power of the predicted values of the models was calculated using standard evaluation procedures. Results Age and Hoehn&Yahr (H&Y) stage were strongly associated with the presence of dementia (p value<0.001 for both factors in the final selected model) while a combination of age, disease duration, H&Y stage, dopamine agonists and catechol-O-methyltransferase (COMT) inhibitors was associated with the presence of psychosis. Disease duration and H&Y stage were the significant indicators of cpRBD, and the lack of significant motor asymmetry was the only significant feature associated with RLS-type symptoms but the evidence of association was weak. Conclusions Demographic and motor features routinely collected in patients with PD can estimate the occurrence of neuropsychiatric and sleep-related features of PD.</div>
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<xref ref-type="aff" rid="af4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Silveira-Moriyama</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="af4">4</xref>
<xref ref-type="aff" rid="af5">5</xref>
</contrib>
</contrib-group>
<aff id="af1">
<label>1</label>
<addr-line>Department of Neurology</addr-line>
,
<institution>Hospital de Clínicas, Federal University of Paraná</institution>
,
<addr-line>Curitiba</addr-line>
,
<country>Brazil</country>
</aff>
<aff id="af2">
<label>2</label>
<institution>Associacao Paranaense dos Portadores de Parkinsonismo</institution>
,
<addr-line>Curitiba</addr-line>
,
<country>Brazil</country>
</aff>
<aff id="af3">
<label>3</label>
<addr-line>Department of Epidemiology and Public Health</addr-line>
,
<institution>Centre for Biostatistics, Imperial College St Mary's Campus</institution>
,
<addr-line>London</addr-line>
,
<country>UK</country>
</aff>
<aff id="af4">
<label>4</label>
<institution>Reta Lila Weston Institute, UCL Institute of Neurology</institution>
,
<addr-line>London</addr-line>
,
<country>UK</country>
</aff>
<aff id="af5">
<label>5</label>
<addr-line>Department of Neurology</addr-line>
,
<institution>FCM, University of Campinas, Campinas, UNICAMP</institution>
,
<country>Brazil</country>
</aff>
<author-notes>
<corresp>
<label>Correspondence to</label>
Dr Laura Silveira-Moriyama, Reta Lila Weston Institute of Neurological Studies, UCL Institute of Neurology, London WC1N 1PJ, UK;
<email>laura.moriyama@ucl.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>8</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub-original">
<day>5</day>
<month>3</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>5</day>
<month>3</month>
<year>2013</year>
</pub-date>
<volume>84</volume>
<volume-id pub-id-type="other">84</volume-id>
<volume-id pub-id-type="other">84</volume-id>
<issue>8</issue>
<issue-id pub-id-type="other">jnnp;84/8</issue-id>
<issue-id pub-id-type="other">8</issue-id>
<issue-id pub-id-type="other">84/8</issue-id>
<fpage>883</fpage>
<history>
<date date-type="received">
<day>25</day>
<month>10</month>
<year>2012</year>
</date>
<date date-type="rev-recd">
<day>7</day>
<month>2</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>2</month>
<year>2013</year>
</date>
</history>
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<copyright-statement>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</copyright-statement>
<copyright-year>2013</copyright-year>
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<abstract>
<sec>
<title>Objective</title>
<p>To determine whether four key neuropsychiatric and sleep related features associated with Parkinson's disease (PD) are associated with the motor handicap and demographic data.</p>
</sec>
<sec>
<title>Background</title>
<p>The growing number of recognised non-motor features of PD makes routine screening of all these symptoms impractical. Here, we investigated the hypothesis that standard demographic data and the routine assessment of motor signs is associated with the presence of dementia, psychosis, clinically probable rapid eye movement (REM) sleep behavior disorder (cpRBD) and restless legs syndrome (RLS).</p>
</sec>
<sec>
<title>Methods</title>
<p>775 patients with PD underwent standardised assessment of motor features and the presence of dementia, psychosis, cpRBD and RLS. A stepwise feature elimination procedure with fitted logistic regression models was applied to identify which/if any combination of demographic and motor factors is associated with each of the four studied non-motor features. A within-study out-of-sample estimate of the power of the predicted values of the models was calculated using standard evaluation procedures.</p>
</sec>
<sec>
<title>Results</title>
<p>Age and Hoehn&Yahr (H&Y) stage were strongly associated with the presence of dementia (p value<0.001 for both factors in the final selected model) while a combination of age, disease duration, H&Y stage, dopamine agonists and catechol-O-methyltransferase (COMT) inhibitors was associated with the presence of psychosis. Disease duration and H&Y stage were the significant indicators of cpRBD, and the lack of significant motor asymmetry was the only significant feature associated with RLS-type symptoms but the evidence of association was weak.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Demographic and motor features routinely collected in patients with PD can estimate the occurrence of neuropsychiatric and sleep-related features of PD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>PARKINSON'S DISEASE</kwd>
<kwd>CLINICAL NEUROLOGY</kwd>
<kwd>MOVEMENT DISORDERS</kwd>
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<title>Demographic and motor features associated with the occurrence of neuropsychiatric and sleep complications of Parkinson's disease</title>
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<title>Demographic and motor features associated with the occurrence of neuropsychiatric and sleep complications of Parkinson's disease</title>
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<name type="personal">
<namePart type="given">Renato Puppi</namePart>
<namePart type="family">Munhoz</namePart>
<affiliation>Department of Neurology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil</affiliation>
<affiliation>Associacao Paranaense dos Portadores de Parkinsonismo, Curitiba, Brazil</affiliation>
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<name type="personal">
<namePart type="given">Hélio A</namePart>
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<affiliation>Department of Neurology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hariklia</namePart>
<namePart type="family">Eleftherohorinou</namePart>
<affiliation>Department of Epidemiology and Public Health, Centre for Biostatistics, Imperial College St Mary's Campus, London, UK</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Lachlan J</namePart>
<namePart type="family">Coin</namePart>
<affiliation>Department of Epidemiology and Public Health, Centre for Biostatistics, Imperial College St Mary's Campus, London, UK</affiliation>
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<roleTerm type="text">author</roleTerm>
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<name type="personal">
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<affiliation>Reta Lila Weston Institute, UCL Institute of Neurology, London, UK</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
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<name type="personal">
<namePart type="given">Laura</namePart>
<namePart type="family">Silveira-Moriyama</namePart>
<affiliation>Reta Lila Weston Institute, UCL Institute of Neurology, London, UK</affiliation>
<affiliation>Department of Neurology, FCM, University of Campinas, Campinas, UNICAMP, Brazil</affiliation>
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<abstract>Objective To determine whether four key neuropsychiatric and sleep related features associated with Parkinson's disease (PD) are associated with the motor handicap and demographic data. Background The growing number of recognised non-motor features of PD makes routine screening of all these symptoms impractical. Here, we investigated the hypothesis that standard demographic data and the routine assessment of motor signs is associated with the presence of dementia, psychosis, clinically probable rapid eye movement (REM) sleep behavior disorder (cpRBD) and restless legs syndrome (RLS). Methods 775 patients with PD underwent standardised assessment of motor features and the presence of dementia, psychosis, cpRBD and RLS. A stepwise feature elimination procedure with fitted logistic regression models was applied to identify which/if any combination of demographic and motor factors is associated with each of the four studied non-motor features. A within-study out-of-sample estimate of the power of the predicted values of the models was calculated using standard evaluation procedures. Results Age and Hoehn&Yahr (H&Y) stage were strongly associated with the presence of dementia (p value<0.001 for both factors in the final selected model) while a combination of age, disease duration, H&Y stage, dopamine agonists and catechol-O-methyltransferase (COMT) inhibitors was associated with the presence of psychosis. Disease duration and H&Y stage were the significant indicators of cpRBD, and the lack of significant motor asymmetry was the only significant feature associated with RLS-type symptoms but the evidence of association was weak. Conclusions Demographic and motor features routinely collected in patients with PD can estimate the occurrence of neuropsychiatric and sleep-related features of PD.</abstract>
<subject>
<genre>Keywords</genre>
<topic>PARKINSON'S DISEASE</topic>
<topic>CLINICAL NEUROLOGY</topic>
<topic>MOVEMENT DISORDERS</topic>
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<title>J Neurol Neurosurg Psychiatry</title>
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<identifier type="ISSN">0022-3050</identifier>
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