Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy

The Motor Function Measure is a standardized scoring system to evaluate motor function and monitor disease progression in neuromuscular diseases such as Duchenne muscular dystrophy. There are no available reference percentile curves for this measure. The aim of this analysis was to generate Motor Fu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European journal of paediatric neurology 2022-01, Vol.36, p.78-83
Hauptverfasser: Hafner, Patricia, Schmidt, Simone, Schädelin, Sabine, Rippert, Pascal, Hamroun, Dalil, Fabien, Solenn, Henzi, Bettina, Putananickal, Niveditha, Rubino-Nacht, Daniela, Vuillerot, Carole, Fischer, Dirk, Fontaine-Carbonnel, Stéphanie, De Montferrand, Camille, Ragot-Mandry, Sylvie, Chabrier, Stéphane, Mehouas, Manuella Fournier, Rauscent, Hélène, Cances, Claude, Rivier, François, Urtizberea, Jon Andoni, Peudenier, Sylviane, Brochard, Sylvain, Lagrue, Emmanuelle
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 83
container_issue
container_start_page 78
container_title European journal of paediatric neurology
container_volume 36
creator Hafner, Patricia
Schmidt, Simone
Schädelin, Sabine
Rippert, Pascal
Hamroun, Dalil
Fabien, Solenn
Henzi, Bettina
Putananickal, Niveditha
Rubino-Nacht, Daniela
Vuillerot, Carole
Fischer, Dirk
Fontaine-Carbonnel, Stéphanie
De Montferrand, Camille
Ragot-Mandry, Sylvie
Chabrier, Stéphane
Mehouas, Manuella Fournier
Rauscent, Hélène
Cances, Claude
Rivier, François
Urtizberea, Jon Andoni
Peudenier, Sylviane
Brochard, Sylvain
Lagrue, Emmanuelle
description The Motor Function Measure is a standardized scoring system to evaluate motor function and monitor disease progression in neuromuscular diseases such as Duchenne muscular dystrophy. There are no available reference percentile curves for this measure. The aim of this analysis was to generate Motor Function Measure percentile curves for ambulant and non-ambulant patients affected by Duchenne Muscular Dystrophy, providing the opportunity to better evaluate the status and progression of an individual patient compared to other patients in the same age group. Data of patients aged between 6 and 15 years (819 measurements) was obtained from the international Motor Function Measure database. Age-dependent percentile curves were estimated using a “Generalized additive model for location, scale and shape” as suggested by the World Health Organisation Multicentre Growth Reference Study Group. Percentile curves for the Motor Function Measure total score and its sub-scores for patients with and without treatment with glucocorticoids are presented. Mean scores decline with age. Patients treated with glucocorticoids have higher mean values compared to glucocorticoid-naïve patients at the same age. The percentile curves with the online tool extend the clinical utility of the Motor Function Measure by facilitating the interpretation of individual standing and disease progression. •MFM percentile curves are useful to evaluate individual disease progression.•Clinical research will be facilitated by choosing patients with similar curses.•Treatment effects can be visualised.•Smaller trials will be informative by increased effect sizes.
doi_str_mv 10.1016/j.ejpn.2021.11.004
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_03494418v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1090379821001975</els_id><sourcerecordid>2612393333</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3494-90a6776e22d581ee6d3909ef288eaf85ac2dbc07f308283990dace4e278b30fe3</originalsourceid><addsrcrecordid>eNp9kU9v1DAQxS0Eou3CF-CAfIRDwtjOJrHEpWrpH2krOMDZ8joT1qvEDna80t746Djdtkd8sK3R772x5xHygUHJgNVf9iXuJ1dy4KxkrASoXpFztha84EzA63wHCYVoZHtGLmLcA4CseP2WnIlKclmz9Tn5ez9OA47oZj1b76jv6YOffaA3yZnHygPqmALSaHzeJwwmw3ZAalI4YKQF_RGwsxl2v-n4qO2ftYOPkVpHr5PZoXNIxxRNGnSg3THOwU-74zvyptdDxPdP54r8uvn28-qu2Hy_vb-63BQmP7YqJOi6aWrkvFu3DLHuhASJPW9b1H271oZ3WwNNL6DlrZASOm2wQt60WwE9ihX5fPLd6UFNwY46HJXXVt1dbtRSg6VPxdoDy-ynEzsF_ydhnNVoo8Fh0A59iorXjAsplrUi_ISakP8asH_xZqCWlNReLSmpJSXFmMopZdHHJ_-0HbF7kTzHkoGvJwDzRA4Wg4rGojN5zgHNrDpv_-f_D35TpQo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2612393333</pqid></control><display><type>article</type><title>Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Hafner, Patricia ; Schmidt, Simone ; Schädelin, Sabine ; Rippert, Pascal ; Hamroun, Dalil ; Fabien, Solenn ; Henzi, Bettina ; Putananickal, Niveditha ; Rubino-Nacht, Daniela ; Vuillerot, Carole ; Fischer, Dirk ; Fontaine-Carbonnel, Stéphanie ; De Montferrand, Camille ; Ragot-Mandry, Sylvie ; Chabrier, Stéphane ; Mehouas, Manuella Fournier ; Rauscent, Hélène ; Cances, Claude ; Rivier, François ; Urtizberea, Jon Andoni ; Peudenier, Sylviane ; Brochard, Sylvain ; Lagrue, Emmanuelle</creator><creatorcontrib>Hafner, Patricia ; Schmidt, Simone ; Schädelin, Sabine ; Rippert, Pascal ; Hamroun, Dalil ; Fabien, Solenn ; Henzi, Bettina ; Putananickal, Niveditha ; Rubino-Nacht, Daniela ; Vuillerot, Carole ; Fischer, Dirk ; Fontaine-Carbonnel, Stéphanie ; De Montferrand, Camille ; Ragot-Mandry, Sylvie ; Chabrier, Stéphane ; Mehouas, Manuella Fournier ; Rauscent, Hélène ; Cances, Claude ; Rivier, François ; Urtizberea, Jon Andoni ; Peudenier, Sylviane ; Brochard, Sylvain ; Lagrue, Emmanuelle ; MFM registry Study Group</creatorcontrib><description>The Motor Function Measure is a standardized scoring system to evaluate motor function and monitor disease progression in neuromuscular diseases such as Duchenne muscular dystrophy. There are no available reference percentile curves for this measure. The aim of this analysis was to generate Motor Function Measure percentile curves for ambulant and non-ambulant patients affected by Duchenne Muscular Dystrophy, providing the opportunity to better evaluate the status and progression of an individual patient compared to other patients in the same age group. Data of patients aged between 6 and 15 years (819 measurements) was obtained from the international Motor Function Measure database. Age-dependent percentile curves were estimated using a “Generalized additive model for location, scale and shape” as suggested by the World Health Organisation Multicentre Growth Reference Study Group. Percentile curves for the Motor Function Measure total score and its sub-scores for patients with and without treatment with glucocorticoids are presented. Mean scores decline with age. Patients treated with glucocorticoids have higher mean values compared to glucocorticoid-naïve patients at the same age. The percentile curves with the online tool extend the clinical utility of the Motor Function Measure by facilitating the interpretation of individual standing and disease progression. •MFM percentile curves are useful to evaluate individual disease progression.•Clinical research will be facilitated by choosing patients with similar curses.•Treatment effects can be visualised.•Smaller trials will be informative by increased effect sizes.</description><identifier>ISSN: 1090-3798</identifier><identifier>EISSN: 1532-2130</identifier><identifier>DOI: 10.1016/j.ejpn.2021.11.004</identifier><identifier>PMID: 34929615</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adolescent ; Child ; Disease progression ; Duchenne ; Glucocorticoids ; Humans ; Life Sciences ; Motor skills disorder ; Muscular dystrophy ; Muscular Dystrophy, Duchenne - diagnosis ; Neuromuscular diseases ; Reference values</subject><ispartof>European journal of paediatric neurology, 2022-01, Vol.36, p.78-83</ispartof><rights>2021 The Authors</rights><rights>Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3494-90a6776e22d581ee6d3909ef288eaf85ac2dbc07f308283990dace4e278b30fe3</citedby><cites>FETCH-LOGICAL-c3494-90a6776e22d581ee6d3909ef288eaf85ac2dbc07f308283990dace4e278b30fe3</cites><orcidid>0000-0003-1381-0216 ; 0000-0002-4853-8227 ; 0000-0003-0185-0659 ; 0000-0003-4995-0202</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1090379821001975$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34929615$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03494418$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Hafner, Patricia</creatorcontrib><creatorcontrib>Schmidt, Simone</creatorcontrib><creatorcontrib>Schädelin, Sabine</creatorcontrib><creatorcontrib>Rippert, Pascal</creatorcontrib><creatorcontrib>Hamroun, Dalil</creatorcontrib><creatorcontrib>Fabien, Solenn</creatorcontrib><creatorcontrib>Henzi, Bettina</creatorcontrib><creatorcontrib>Putananickal, Niveditha</creatorcontrib><creatorcontrib>Rubino-Nacht, Daniela</creatorcontrib><creatorcontrib>Vuillerot, Carole</creatorcontrib><creatorcontrib>Fischer, Dirk</creatorcontrib><creatorcontrib>Fontaine-Carbonnel, Stéphanie</creatorcontrib><creatorcontrib>De Montferrand, Camille</creatorcontrib><creatorcontrib>Ragot-Mandry, Sylvie</creatorcontrib><creatorcontrib>Chabrier, Stéphane</creatorcontrib><creatorcontrib>Mehouas, Manuella Fournier</creatorcontrib><creatorcontrib>Rauscent, Hélène</creatorcontrib><creatorcontrib>Cances, Claude</creatorcontrib><creatorcontrib>Rivier, François</creatorcontrib><creatorcontrib>Urtizberea, Jon Andoni</creatorcontrib><creatorcontrib>Peudenier, Sylviane</creatorcontrib><creatorcontrib>Brochard, Sylvain</creatorcontrib><creatorcontrib>Lagrue, Emmanuelle</creatorcontrib><creatorcontrib>MFM registry Study Group</creatorcontrib><title>Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy</title><title>European journal of paediatric neurology</title><addtitle>Eur J Paediatr Neurol</addtitle><description>The Motor Function Measure is a standardized scoring system to evaluate motor function and monitor disease progression in neuromuscular diseases such as Duchenne muscular dystrophy. There are no available reference percentile curves for this measure. The aim of this analysis was to generate Motor Function Measure percentile curves for ambulant and non-ambulant patients affected by Duchenne Muscular Dystrophy, providing the opportunity to better evaluate the status and progression of an individual patient compared to other patients in the same age group. Data of patients aged between 6 and 15 years (819 measurements) was obtained from the international Motor Function Measure database. Age-dependent percentile curves were estimated using a “Generalized additive model for location, scale and shape” as suggested by the World Health Organisation Multicentre Growth Reference Study Group. Percentile curves for the Motor Function Measure total score and its sub-scores for patients with and without treatment with glucocorticoids are presented. Mean scores decline with age. Patients treated with glucocorticoids have higher mean values compared to glucocorticoid-naïve patients at the same age. The percentile curves with the online tool extend the clinical utility of the Motor Function Measure by facilitating the interpretation of individual standing and disease progression. •MFM percentile curves are useful to evaluate individual disease progression.•Clinical research will be facilitated by choosing patients with similar curses.•Treatment effects can be visualised.•Smaller trials will be informative by increased effect sizes.</description><subject>Adolescent</subject><subject>Child</subject><subject>Disease progression</subject><subject>Duchenne</subject><subject>Glucocorticoids</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Motor skills disorder</subject><subject>Muscular dystrophy</subject><subject>Muscular Dystrophy, Duchenne - diagnosis</subject><subject>Neuromuscular diseases</subject><subject>Reference values</subject><issn>1090-3798</issn><issn>1532-2130</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9v1DAQxS0Eou3CF-CAfIRDwtjOJrHEpWrpH2krOMDZ8joT1qvEDna80t746Djdtkd8sK3R772x5xHygUHJgNVf9iXuJ1dy4KxkrASoXpFztha84EzA63wHCYVoZHtGLmLcA4CseP2WnIlKclmz9Tn5ez9OA47oZj1b76jv6YOffaA3yZnHygPqmALSaHzeJwwmw3ZAalI4YKQF_RGwsxl2v-n4qO2ftYOPkVpHr5PZoXNIxxRNGnSg3THOwU-74zvyptdDxPdP54r8uvn28-qu2Hy_vb-63BQmP7YqJOi6aWrkvFu3DLHuhASJPW9b1H271oZ3WwNNL6DlrZASOm2wQt60WwE9ihX5fPLd6UFNwY46HJXXVt1dbtRSg6VPxdoDy-ynEzsF_ydhnNVoo8Fh0A59iorXjAsplrUi_ISakP8asH_xZqCWlNReLSmpJSXFmMopZdHHJ_-0HbF7kTzHkoGvJwDzRA4Wg4rGojN5zgHNrDpv_-f_D35TpQo</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Hafner, Patricia</creator><creator>Schmidt, Simone</creator><creator>Schädelin, Sabine</creator><creator>Rippert, Pascal</creator><creator>Hamroun, Dalil</creator><creator>Fabien, Solenn</creator><creator>Henzi, Bettina</creator><creator>Putananickal, Niveditha</creator><creator>Rubino-Nacht, Daniela</creator><creator>Vuillerot, Carole</creator><creator>Fischer, Dirk</creator><creator>Fontaine-Carbonnel, Stéphanie</creator><creator>De Montferrand, Camille</creator><creator>Ragot-Mandry, Sylvie</creator><creator>Chabrier, Stéphane</creator><creator>Mehouas, Manuella Fournier</creator><creator>Rauscent, Hélène</creator><creator>Cances, Claude</creator><creator>Rivier, François</creator><creator>Urtizberea, Jon Andoni</creator><creator>Peudenier, Sylviane</creator><creator>Brochard, Sylvain</creator><creator>Lagrue, Emmanuelle</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-1381-0216</orcidid><orcidid>https://orcid.org/0000-0002-4853-8227</orcidid><orcidid>https://orcid.org/0000-0003-0185-0659</orcidid><orcidid>https://orcid.org/0000-0003-4995-0202</orcidid></search><sort><creationdate>202201</creationdate><title>Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy</title><author>Hafner, Patricia ; Schmidt, Simone ; Schädelin, Sabine ; Rippert, Pascal ; Hamroun, Dalil ; Fabien, Solenn ; Henzi, Bettina ; Putananickal, Niveditha ; Rubino-Nacht, Daniela ; Vuillerot, Carole ; Fischer, Dirk ; Fontaine-Carbonnel, Stéphanie ; De Montferrand, Camille ; Ragot-Mandry, Sylvie ; Chabrier, Stéphane ; Mehouas, Manuella Fournier ; Rauscent, Hélène ; Cances, Claude ; Rivier, François ; Urtizberea, Jon Andoni ; Peudenier, Sylviane ; Brochard, Sylvain ; Lagrue, Emmanuelle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3494-90a6776e22d581ee6d3909ef288eaf85ac2dbc07f308283990dace4e278b30fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adolescent</topic><topic>Child</topic><topic>Disease progression</topic><topic>Duchenne</topic><topic>Glucocorticoids</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Motor skills disorder</topic><topic>Muscular dystrophy</topic><topic>Muscular Dystrophy, Duchenne - diagnosis</topic><topic>Neuromuscular diseases</topic><topic>Reference values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hafner, Patricia</creatorcontrib><creatorcontrib>Schmidt, Simone</creatorcontrib><creatorcontrib>Schädelin, Sabine</creatorcontrib><creatorcontrib>Rippert, Pascal</creatorcontrib><creatorcontrib>Hamroun, Dalil</creatorcontrib><creatorcontrib>Fabien, Solenn</creatorcontrib><creatorcontrib>Henzi, Bettina</creatorcontrib><creatorcontrib>Putananickal, Niveditha</creatorcontrib><creatorcontrib>Rubino-Nacht, Daniela</creatorcontrib><creatorcontrib>Vuillerot, Carole</creatorcontrib><creatorcontrib>Fischer, Dirk</creatorcontrib><creatorcontrib>Fontaine-Carbonnel, Stéphanie</creatorcontrib><creatorcontrib>De Montferrand, Camille</creatorcontrib><creatorcontrib>Ragot-Mandry, Sylvie</creatorcontrib><creatorcontrib>Chabrier, Stéphane</creatorcontrib><creatorcontrib>Mehouas, Manuella Fournier</creatorcontrib><creatorcontrib>Rauscent, Hélène</creatorcontrib><creatorcontrib>Cances, Claude</creatorcontrib><creatorcontrib>Rivier, François</creatorcontrib><creatorcontrib>Urtizberea, Jon Andoni</creatorcontrib><creatorcontrib>Peudenier, Sylviane</creatorcontrib><creatorcontrib>Brochard, Sylvain</creatorcontrib><creatorcontrib>Lagrue, Emmanuelle</creatorcontrib><creatorcontrib>MFM registry Study Group</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>European journal of paediatric neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hafner, Patricia</au><au>Schmidt, Simone</au><au>Schädelin, Sabine</au><au>Rippert, Pascal</au><au>Hamroun, Dalil</au><au>Fabien, Solenn</au><au>Henzi, Bettina</au><au>Putananickal, Niveditha</au><au>Rubino-Nacht, Daniela</au><au>Vuillerot, Carole</au><au>Fischer, Dirk</au><au>Fontaine-Carbonnel, Stéphanie</au><au>De Montferrand, Camille</au><au>Ragot-Mandry, Sylvie</au><au>Chabrier, Stéphane</au><au>Mehouas, Manuella Fournier</au><au>Rauscent, Hélène</au><au>Cances, Claude</au><au>Rivier, François</au><au>Urtizberea, Jon Andoni</au><au>Peudenier, Sylviane</au><au>Brochard, Sylvain</au><au>Lagrue, Emmanuelle</au><aucorp>MFM registry Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy</atitle><jtitle>European journal of paediatric neurology</jtitle><addtitle>Eur J Paediatr Neurol</addtitle><date>2022-01</date><risdate>2022</risdate><volume>36</volume><spage>78</spage><epage>83</epage><pages>78-83</pages><issn>1090-3798</issn><eissn>1532-2130</eissn><abstract>The Motor Function Measure is a standardized scoring system to evaluate motor function and monitor disease progression in neuromuscular diseases such as Duchenne muscular dystrophy. There are no available reference percentile curves for this measure. The aim of this analysis was to generate Motor Function Measure percentile curves for ambulant and non-ambulant patients affected by Duchenne Muscular Dystrophy, providing the opportunity to better evaluate the status and progression of an individual patient compared to other patients in the same age group. Data of patients aged between 6 and 15 years (819 measurements) was obtained from the international Motor Function Measure database. Age-dependent percentile curves were estimated using a “Generalized additive model for location, scale and shape” as suggested by the World Health Organisation Multicentre Growth Reference Study Group. Percentile curves for the Motor Function Measure total score and its sub-scores for patients with and without treatment with glucocorticoids are presented. Mean scores decline with age. Patients treated with glucocorticoids have higher mean values compared to glucocorticoid-naïve patients at the same age. The percentile curves with the online tool extend the clinical utility of the Motor Function Measure by facilitating the interpretation of individual standing and disease progression. •MFM percentile curves are useful to evaluate individual disease progression.•Clinical research will be facilitated by choosing patients with similar curses.•Treatment effects can be visualised.•Smaller trials will be informative by increased effect sizes.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>34929615</pmid><doi>10.1016/j.ejpn.2021.11.004</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-1381-0216</orcidid><orcidid>https://orcid.org/0000-0002-4853-8227</orcidid><orcidid>https://orcid.org/0000-0003-0185-0659</orcidid><orcidid>https://orcid.org/0000-0003-4995-0202</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1090-3798
ispartof European journal of paediatric neurology, 2022-01, Vol.36, p.78-83
issn 1090-3798
1532-2130
language eng
recordid cdi_hal_primary_oai_HAL_hal_03494418v1
source MEDLINE; Elsevier ScienceDirect Journals
subjects Adolescent
Child
Disease progression
Duchenne
Glucocorticoids
Humans
Life Sciences
Motor skills disorder
Muscular dystrophy
Muscular Dystrophy, Duchenne - diagnosis
Neuromuscular diseases
Reference values
title Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T22%3A12%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Implementation%20of%20Motor%20Function%20Measure%20score%20percentile%20curves%20-%20Predicting%20motor%20function%20loss%20in%20Duchenne%20muscular%20dystrophy&rft.jtitle=European%20journal%20of%20paediatric%20neurology&rft.au=Hafner,%20Patricia&rft.aucorp=MFM%20registry%20Study%20Group&rft.date=2022-01&rft.volume=36&rft.spage=78&rft.epage=83&rft.pages=78-83&rft.issn=1090-3798&rft.eissn=1532-2130&rft_id=info:doi/10.1016/j.ejpn.2021.11.004&rft_dat=%3Cproquest_hal_p%3E2612393333%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2612393333&rft_id=info:pmid/34929615&rft_els_id=S1090379821001975&rfr_iscdi=true