Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time Article Swipe
Linard Filli
,
Tabea Sutter
,
Chris Awai Easthope
,
Tim Killeen
,
Christian Meyer
,
Katja Reuter
,
Lilla Lőrincz
,
Marc Bolliger
,
Michael Weller
,
Armin Curt
,
Dominik Straumann
,
Michael Linnebank
,
Björn Zörner
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-018-22676-0
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-018-22676-0
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-018-22676-0
- https://www.nature.com/articles/s41598-018-22676-0.pdf
- OA Status
- gold
- Cited By
- 128
- References
- 96
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2789894786
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2789894786Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-018-22676-0Digital Object Identifier
- Title
-
Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over timeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-03-15Full publication date if available
- Authors
-
Linard Filli, Tabea Sutter, Chris Awai Easthope, Tim Killeen, Christian Meyer, Katja Reuter, Lilla Lőrincz, Marc Bolliger, Michael Weller, Armin Curt, Dominik Straumann, Michael Linnebank, Björn ZörnerList of authors in order
- Landing page
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https://doi.org/10.1038/s41598-018-22676-0Publisher landing page
- PDF URL
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https://www.nature.com/articles/s41598-018-22676-0.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.nature.com/articles/s41598-018-22676-0.pdfDirect OA link when available
- Concepts
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Gait, Physical medicine and rehabilitation, Medicine, Ankle, Gait analysis, Physical therapy, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
128Total citation count in OpenAlex
- Citations by year (recent)
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2025: 24, 2024: 12, 2023: 12, 2022: 27, 2021: 22Per-year citation counts (last 5 years)
- References (count)
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96Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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