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Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time
Gait dysfunction is a common and relevant symptom in multiple sclerosis (MS). This study aimed to profile gait pathology in gait-impaired patients with MS using comprehensive 3D gait analysis and clinical walking tests. Thirty-seven patients with MS walked on the treadmill at their individual, susta...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862880/ https://www.ncbi.nlm.nih.gov/pubmed/29563533 http://dx.doi.org/10.1038/s41598-018-22676-0 |
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author | Filli, Linard Sutter, Tabea Easthope, Christopher S. Killeen, Tim Meyer, Christian Reuter, Katja Lörincz, Lilla Bolliger, Marc Weller, Michael Curt, Armin Straumann, Dominik Linnebank, Michael Zörner, Björn |
author_facet | Filli, Linard Sutter, Tabea Easthope, Christopher S. Killeen, Tim Meyer, Christian Reuter, Katja Lörincz, Lilla Bolliger, Marc Weller, Michael Curt, Armin Straumann, Dominik Linnebank, Michael Zörner, Björn |
author_sort | Filli, Linard |
collection | PubMed |
description | Gait dysfunction is a common and relevant symptom in multiple sclerosis (MS). This study aimed to profile gait pathology in gait-impaired patients with MS using comprehensive 3D gait analysis and clinical walking tests. Thirty-seven patients with MS walked on the treadmill at their individual, sustainable speed while 20 healthy control subjects walked at all the different patient’s paces, allowing for comparisons independent of walking velocity. Kinematic analysis revealed pronounced restrictions in knee and ankle joint excursion, increased gait variability and asymmetry along with impaired dynamic stability in patients. The most discriminative single gait parameter, differentiating patients from controls with an accuracy of 83.3% (χ(2) test; p = 0.0001), was reduced knee range of motion. Based on hierarchical cluster and principal component analysis, three principal pathological gait patterns were identified: a spastic-paretic, an ataxia-like, and an unstable gait. Follow-up assessments after 1 year indicated deterioration of walking function, particularly in patients with spastic-paretic gait patterns. Our findings suggest that impaired knee/ankle control is common in patients with MS. Personalised gait profiles and clustering algorithms may be promising tools for stratifying patients and to inform patient-tailored exercise programs. Responsive, objective outcome measures are important for monitoring disease progression and treatment effects in MS trials. |
format | Online Article Text |
id | pubmed-5862880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58628802018-03-27 Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time Filli, Linard Sutter, Tabea Easthope, Christopher S. Killeen, Tim Meyer, Christian Reuter, Katja Lörincz, Lilla Bolliger, Marc Weller, Michael Curt, Armin Straumann, Dominik Linnebank, Michael Zörner, Björn Sci Rep Article Gait dysfunction is a common and relevant symptom in multiple sclerosis (MS). This study aimed to profile gait pathology in gait-impaired patients with MS using comprehensive 3D gait analysis and clinical walking tests. Thirty-seven patients with MS walked on the treadmill at their individual, sustainable speed while 20 healthy control subjects walked at all the different patient’s paces, allowing for comparisons independent of walking velocity. Kinematic analysis revealed pronounced restrictions in knee and ankle joint excursion, increased gait variability and asymmetry along with impaired dynamic stability in patients. The most discriminative single gait parameter, differentiating patients from controls with an accuracy of 83.3% (χ(2) test; p = 0.0001), was reduced knee range of motion. Based on hierarchical cluster and principal component analysis, three principal pathological gait patterns were identified: a spastic-paretic, an ataxia-like, and an unstable gait. Follow-up assessments after 1 year indicated deterioration of walking function, particularly in patients with spastic-paretic gait patterns. Our findings suggest that impaired knee/ankle control is common in patients with MS. Personalised gait profiles and clustering algorithms may be promising tools for stratifying patients and to inform patient-tailored exercise programs. Responsive, objective outcome measures are important for monitoring disease progression and treatment effects in MS trials. Nature Publishing Group UK 2018-03-21 /pmc/articles/PMC5862880/ /pubmed/29563533 http://dx.doi.org/10.1038/s41598-018-22676-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Filli, Linard Sutter, Tabea Easthope, Christopher S. Killeen, Tim Meyer, Christian Reuter, Katja Lörincz, Lilla Bolliger, Marc Weller, Michael Curt, Armin Straumann, Dominik Linnebank, Michael Zörner, Björn Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
title | Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
title_full | Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
title_fullStr | Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
title_full_unstemmed | Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
title_short | Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
title_sort | profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862880/ https://www.ncbi.nlm.nih.gov/pubmed/29563533 http://dx.doi.org/10.1038/s41598-018-22676-0 |
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