Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data.
Identifieur interne : 000A64 ( Main/Exploration ); précédent : 000A63; suivant : 000A65Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data.
Auteurs : Hua Cao [France] ; Laurent Peyrodie ; Samuel Boudet ; Fabrice Cavillon ; Olivier Agnani ; Patrick Hautecoeur ; Cécile DonzéSource :
- Gait & posture [ 1879-2219 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- physiologie : Équilibre postural.
- physiopathologie : Sclérose en plaques.
- Adulte, Adulte d'âge moyen, Analyse de régression, Analyse de variance, Femelle, Humains, Mâle, Pression, Évaluation de l'invalidité.
English descriptors
- KwdEn :
- MESH :
- physiology : Postural Balance.
- physiopathology : Multiple Sclerosis.
- Adult, Analysis of Variance, Disability Evaluation, Female, Humans, Male, Middle Aged, Pressure, Regression Analysis.
Abstract
Expanded Disability Status Scale (EDSS) is the most widely used clinical scale to evaluate levels of multiple sclerosis (MS). As MS can lead to disruptions in the regulation of balance and the disability can be evaluated by force platform posturography, we have developed in this study a new strategy to estimate EDSS from posturographic data. 118 volunteers with EDSS ranging from 0 to 4.5 participated in this study, with eyes closed. By using second-order polynomial regression models, EDSS was estimated from two postural sway parameters, respectively, the length and the surface and four recurrence quantification analysis (RQA) parameters: percentage of recurrence (%Rec), Shannon entropy (Ent), mean diagonal line length (LL) and trapping time (TT). In addition, all four RQA parameters were calculated for position, instantaneous velocity and acceleration of the center of pressure. In order to select the most accurate method for estimating EDSS, four statistical indices (percentage of agreement, underestimation and overestimation, as well as Mean error) were calculated comparing clinical and estimated EDSS scores. The results demonstrate that estimations of EDSS from surface, %Rec and LL of position, best agreed with clinical scores. This study emphasizes the possibility of distinguishing EDSS scores using postural sway and RQA parameters.
DOI: 10.1016/j.gaitpost.2012.07.011
PubMed: 22885161
Affiliations:
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Boudet</name></author><author><name sortKey="Cavillon, Fabrice" sort="Cavillon, Fabrice" uniqKey="Cavillon F" first="Fabrice" last="Cavillon">Fabrice Cavillon</name></author><author><name sortKey="Agnani, Olivier" sort="Agnani, Olivier" uniqKey="Agnani O" first="Olivier" last="Agnani">Olivier Agnani</name></author><author><name sortKey="Hautecoeur, Patrick" sort="Hautecoeur, Patrick" uniqKey="Hautecoeur P" first="Patrick" last="Hautecoeur">Patrick Hautecoeur</name></author><author><name sortKey="Donze, Cecile" sort="Donze, Cecile" uniqKey="Donze C" first="Cécile" last="Donzé">Cécile Donzé</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:22885161</idno><idno type="pmid">22885161</idno><idno type="doi">10.1016/j.gaitpost.2012.07.011</idno><idno type="wicri:Area/Main/Corpus">000B24</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000B24</idno><idno 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first="Laurent" last="Peyrodie">Laurent Peyrodie</name></author><author><name sortKey="Boudet, Samuel" sort="Boudet, Samuel" uniqKey="Boudet S" first="Samuel" last="Boudet">Samuel Boudet</name></author><author><name sortKey="Cavillon, Fabrice" sort="Cavillon, Fabrice" uniqKey="Cavillon F" first="Fabrice" last="Cavillon">Fabrice Cavillon</name></author><author><name sortKey="Agnani, Olivier" sort="Agnani, Olivier" uniqKey="Agnani O" first="Olivier" last="Agnani">Olivier Agnani</name></author><author><name sortKey="Hautecoeur, Patrick" sort="Hautecoeur, Patrick" uniqKey="Hautecoeur P" first="Patrick" last="Hautecoeur">Patrick Hautecoeur</name></author><author><name sortKey="Donze, Cecile" sort="Donze, Cecile" uniqKey="Donze C" first="Cécile" last="Donzé">Cécile Donzé</name></author></analytic><series><title level="j">Gait & posture</title><idno type="eISSN">1879-2219</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Analysis of Variance (MeSH)</term><term>Disability Evaluation (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Multiple Sclerosis (physiopathology)</term><term>Postural Balance (physiology)</term><term>Pressure (MeSH)</term><term>Regression Analysis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Analyse de régression (MeSH)</term><term>Analyse de variance (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Mâle (MeSH)</term><term>Pression (MeSH)</term><term>Sclérose en plaques (physiopathologie)</term><term>Équilibre postural (physiologie)</term><term>Évaluation de l'invalidité (MeSH)</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Équilibre postural</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Postural Balance</term></keywords><keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Sclérose en plaques</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Multiple Sclerosis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Analysis of Variance</term><term>Disability Evaluation</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pressure</term><term>Regression Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de régression</term><term>Analyse de variance</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Pression</term><term>Évaluation de l'invalidité</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Expanded Disability Status Scale (EDSS) is the most widely used clinical scale to evaluate levels of multiple sclerosis (MS). As MS can lead to disruptions in the regulation of balance and the disability can be evaluated by force platform posturography, we have developed in this study a new strategy to estimate EDSS from posturographic data. 118 volunteers with EDSS ranging from 0 to 4.5 participated in this study, with eyes closed. By using second-order polynomial regression models, EDSS was estimated from two postural sway parameters, respectively, the length and the surface and four recurrence quantification analysis (RQA) parameters: percentage of recurrence (%Rec), Shannon entropy (Ent), mean diagonal line length (LL) and trapping time (TT). In addition, all four RQA parameters were calculated for position, instantaneous velocity and acceleration of the center of pressure. In order to select the most accurate method for estimating EDSS, four statistical indices (percentage of agreement, underestimation and overestimation, as well as Mean error) were calculated comparing clinical and estimated EDSS scores. The results demonstrate that estimations of EDSS from surface, %Rec and LL of position, best agreed with clinical scores. This study emphasizes the possibility of distinguishing EDSS scores using postural sway and RQA parameters.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22885161</PMID><DateCompleted><Year>2013</Year><Month>08</Month><Day>21</Day></DateCompleted><DateRevised><Year>2013</Year><Month>01</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-2219</ISSN><JournalIssue CitedMedium="Internet"><Volume>37</Volume><Issue>2</Issue><PubDate><Year>2013</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Gait & posture</Title><ISOAbbreviation>Gait Posture</ISOAbbreviation></Journal><ArticleTitle>Expanded Disability Status Scale (EDSS) estimation in multiple sclerosis from posturographic data.</ArticleTitle><Pagination><MedlinePgn>242-5</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.gaitpost.2012.07.011</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0966-6362(12)00281-0</ELocationID><Abstract><AbstractText>Expanded Disability Status Scale (EDSS) is the most widely used clinical scale to evaluate levels of multiple sclerosis (MS). As MS can lead to disruptions in the regulation of balance and the disability can be evaluated by force platform posturography, we have developed in this study a new strategy to estimate EDSS from posturographic data. 118 volunteers with EDSS ranging from 0 to 4.5 participated in this study, with eyes closed. By using second-order polynomial regression models, EDSS was estimated from two postural sway parameters, respectively, the length and the surface and four recurrence quantification analysis (RQA) parameters: percentage of recurrence (%Rec), Shannon entropy (Ent), mean diagonal line length (LL) and trapping time (TT). In addition, all four RQA parameters were calculated for position, instantaneous velocity and acceleration of the center of pressure. In order to select the most accurate method for estimating EDSS, four statistical indices (percentage of agreement, underestimation and overestimation, as well as Mean error) were calculated comparing clinical and estimated EDSS scores. The results demonstrate that estimations of EDSS from surface, %Rec and LL of position, best agreed with clinical scores. This study emphasizes the possibility of distinguishing EDSS scores using postural sway and RQA parameters.</AbstractText><CopyrightInformation>Copyright © 2012 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cao</LastName><ForeName>Hua</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Université Nord de France, F-59000 Lille, France. hua.cao@hei.fr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Peyrodie</LastName><ForeName>Laurent</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Boudet</LastName><ForeName>Samuel</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Cavillon</LastName><ForeName>Fabrice</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Agnani</LastName><ForeName>Olivier</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Hautecoeur</LastName><ForeName>Patrick</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Donzé</LastName><ForeName>Cécile</ForeName><Initials>C</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>08</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Gait Posture</MedlineTA><NlmUniqueID>9416830</NlmUniqueID><ISSNLinking>0966-6362</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000704" MajorTopicYN="N">Analysis of Variance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004185" MajorTopicYN="Y">Disability Evaluation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009103" MajorTopicYN="N">Multiple Sclerosis</DescriptorName><QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004856" MajorTopicYN="N">Postural Balance</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011312" MajorTopicYN="N">Pressure</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2011</Year><Month>07</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2012</Year><Month>06</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2012</Year><Month>07</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>8</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>8</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2013</Year><Month>8</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22885161</ArticleId><ArticleId IdType="pii">S0966-6362(12)00281-0</ArticleId><ArticleId IdType="doi">10.1016/j.gaitpost.2012.07.011</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Hauts-de-France</li><li>Nord-Pas-de-Calais</li></region><settlement><li>Lille</li></settlement></list><tree><noCountry><name sortKey="Agnani, Olivier" sort="Agnani, Olivier" uniqKey="Agnani O" first="Olivier" last="Agnani">Olivier Agnani</name><name sortKey="Boudet, Samuel" sort="Boudet, Samuel" uniqKey="Boudet S" first="Samuel" last="Boudet">Samuel Boudet</name><name sortKey="Cavillon, Fabrice" sort="Cavillon, Fabrice" uniqKey="Cavillon F" first="Fabrice" last="Cavillon">Fabrice Cavillon</name><name sortKey="Donze, Cecile" sort="Donze, Cecile" uniqKey="Donze C" first="Cécile" last="Donzé">Cécile Donzé</name><name sortKey="Hautecoeur, Patrick" sort="Hautecoeur, Patrick" uniqKey="Hautecoeur P" first="Patrick" last="Hautecoeur">Patrick Hautecoeur</name><name sortKey="Peyrodie, Laurent" sort="Peyrodie, Laurent" uniqKey="Peyrodie L" first="Laurent" last="Peyrodie">Laurent Peyrodie</name></noCountry><country name="France"><region name="Hauts-de-France"><name sortKey="Cao, Hua" sort="Cao, Hua" uniqKey="Cao H" first="Hua" last="Cao">Hua Cao</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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