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Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy

As cerebral palsy (CP) is a complex disorder, classification of gait pathologies is difficult. It is assumed that unclassified patients show less functional impairment and less gait deviation. The aim of this study was to assess the different subgroups and the unclassified patients with unilateral C...

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Autores principales: Tsitlakidis, Stefanos, Schwarze, Martin, Westhauser, Fabian, Heubisch, Korbinian, Horsch, Axel, Hagmann, Sébastien, Wolf, Sebastian I., Götze, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760302/
https://www.ncbi.nlm.nih.gov/pubmed/33265919
http://dx.doi.org/10.3390/jcm9123888
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author Tsitlakidis, Stefanos
Schwarze, Martin
Westhauser, Fabian
Heubisch, Korbinian
Horsch, Axel
Hagmann, Sébastien
Wolf, Sebastian I.
Götze, Marco
author_facet Tsitlakidis, Stefanos
Schwarze, Martin
Westhauser, Fabian
Heubisch, Korbinian
Horsch, Axel
Hagmann, Sébastien
Wolf, Sebastian I.
Götze, Marco
author_sort Tsitlakidis, Stefanos
collection PubMed
description As cerebral palsy (CP) is a complex disorder, classification of gait pathologies is difficult. It is assumed that unclassified patients show less functional impairment and less gait deviation. The aim of this study was to assess the different subgroups and the unclassified patients with unilateral CP using different gait indices. The Gillette Gait Index (GGI), Gait Deviation Index (GDI), Gait Profile Score (GPS) and spatiotemporal parameters derived from instrumented 3D-Gait Analysis (IGA) were assessed. Subgroups were defined using morphological and functional classification systems. Regarding the different gait indices, a ranking of the different gait patterns is evident. Significant differences were found between GMFCS level I and II, Winters et al. (Winters, Gage, Hicks; WGH) type IV and type I and the WGH-unclassified. Concerning the spatiotemporal parameters significant differences were found between GMFCS level I and II concerning velocity. The unclassified patients showed mean values for the different gait indices that were comparable to those of established subgroups. Established gait patterns cause different degrees of gait deviation and functional impairment. The unclassified patients do not differ from established gait patterns but from the unimpaired gait. Further evaluation using 3D-IGA is necessary to identify the underlying gait pathologies of the unclassified patients.
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spelling pubmed-77603022020-12-26 Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy Tsitlakidis, Stefanos Schwarze, Martin Westhauser, Fabian Heubisch, Korbinian Horsch, Axel Hagmann, Sébastien Wolf, Sebastian I. Götze, Marco J Clin Med Article As cerebral palsy (CP) is a complex disorder, classification of gait pathologies is difficult. It is assumed that unclassified patients show less functional impairment and less gait deviation. The aim of this study was to assess the different subgroups and the unclassified patients with unilateral CP using different gait indices. The Gillette Gait Index (GGI), Gait Deviation Index (GDI), Gait Profile Score (GPS) and spatiotemporal parameters derived from instrumented 3D-Gait Analysis (IGA) were assessed. Subgroups were defined using morphological and functional classification systems. Regarding the different gait indices, a ranking of the different gait patterns is evident. Significant differences were found between GMFCS level I and II, Winters et al. (Winters, Gage, Hicks; WGH) type IV and type I and the WGH-unclassified. Concerning the spatiotemporal parameters significant differences were found between GMFCS level I and II concerning velocity. The unclassified patients showed mean values for the different gait indices that were comparable to those of established subgroups. Established gait patterns cause different degrees of gait deviation and functional impairment. The unclassified patients do not differ from established gait patterns but from the unimpaired gait. Further evaluation using 3D-IGA is necessary to identify the underlying gait pathologies of the unclassified patients. MDPI 2020-11-30 /pmc/articles/PMC7760302/ /pubmed/33265919 http://dx.doi.org/10.3390/jcm9123888 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tsitlakidis, Stefanos
Schwarze, Martin
Westhauser, Fabian
Heubisch, Korbinian
Horsch, Axel
Hagmann, Sébastien
Wolf, Sebastian I.
Götze, Marco
Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy
title Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy
title_full Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy
title_fullStr Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy
title_full_unstemmed Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy
title_short Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy
title_sort gait indices for characterization of patients with unilateral cerebral palsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760302/
https://www.ncbi.nlm.nih.gov/pubmed/33265919
http://dx.doi.org/10.3390/jcm9123888
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