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Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation

BACKGROUND: Multiple sclerosis (MS) is a disease of the central nervous system probably based on the autoimmune mechanism against myelin and the action of lymphocyte T. In the last 50 years, more than 150 descriptive studies regarding MS have focused on the etiopathogeny, treatment, diagnosis and pr...

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Autores principales: Rusu, Ligia, Neamtu, Marius Cristian, Rosulescu, Eugenia, Cosma, Germina, Dragomir, Mihai, Marin, Mihnea Ion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301622/
https://www.ncbi.nlm.nih.gov/pubmed/25539821
http://dx.doi.org/10.1186/s40001-014-0073-5
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author Rusu, Ligia
Neamtu, Marius Cristian
Rosulescu, Eugenia
Cosma, Germina
Dragomir, Mihai
Marin, Mihnea Ion
author_facet Rusu, Ligia
Neamtu, Marius Cristian
Rosulescu, Eugenia
Cosma, Germina
Dragomir, Mihai
Marin, Mihnea Ion
author_sort Rusu, Ligia
collection PubMed
description BACKGROUND: Multiple sclerosis (MS) is a disease of the central nervous system probably based on the autoimmune mechanism against myelin and the action of lymphocyte T. In the last 50 years, more than 150 descriptive studies regarding MS have focused on the etiopathogeny, treatment, diagnosis and prevention of the progressive evolution of MS. Most recently, studies in the field of rehabilitation and diagnosis have tried to present the postural aspects of control/foot and ankle control and gait pattern in MS. The aim of this study is focused on biomechanical foot analyses of MS patients. METHODS: Our clinical research and functional assessment was based on a scale like the EDSS/Kurtzke score: biomechanical foot assessment used the RSscan force plate to assess the foot loading, impulse and foot-ankle angle (subtalar angle), and pressure distribution methods for statistical analyses. The study included MS patients at the Neurologic Rehabilitation Unit, Craiova, we studied 48 patients (46.04 ± 10.99 years) diagnosed with MS. RESULTS: This study shows that the major lesion is to the pyramidal system and the average value for functionality index (EDSS score) is 3.03 ± 0.13, where 3 means easy paraparesis or hemiparesis. In considering postural strategies, we observed an instability left to right to be more evident in the swing phase and it influences the under the foot impulse for the next step and postural control. From the analysis of the data and pressure centre position, we can see that the high pressure is on metatarsian II to III and more or less at the heel. This means the development of an ankle strategy necessary to restore balance, stability and motor control cannot be assessed other than by clinical evaluation. Even if many physicians and physical therapists do use the functional scale in their daily assessment, it does not help us achieve a complex assessment of gait and lower limb behaviour during gait, nor does it provide information about the impact of gait on daily activities and on quality of life. CONCLUSIONS: Biomechanical assessment can help the clinician predict the functional evolution of MS patients without visible clinical gait disorders and allows the development of a strategy for rehabilitation to prevent an incorrect ankle/ankle and foot position, resulting in a lack of motor control.
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spelling pubmed-43016222015-02-03 Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation Rusu, Ligia Neamtu, Marius Cristian Rosulescu, Eugenia Cosma, Germina Dragomir, Mihai Marin, Mihnea Ion Eur J Med Res Research BACKGROUND: Multiple sclerosis (MS) is a disease of the central nervous system probably based on the autoimmune mechanism against myelin and the action of lymphocyte T. In the last 50 years, more than 150 descriptive studies regarding MS have focused on the etiopathogeny, treatment, diagnosis and prevention of the progressive evolution of MS. Most recently, studies in the field of rehabilitation and diagnosis have tried to present the postural aspects of control/foot and ankle control and gait pattern in MS. The aim of this study is focused on biomechanical foot analyses of MS patients. METHODS: Our clinical research and functional assessment was based on a scale like the EDSS/Kurtzke score: biomechanical foot assessment used the RSscan force plate to assess the foot loading, impulse and foot-ankle angle (subtalar angle), and pressure distribution methods for statistical analyses. The study included MS patients at the Neurologic Rehabilitation Unit, Craiova, we studied 48 patients (46.04 ± 10.99 years) diagnosed with MS. RESULTS: This study shows that the major lesion is to the pyramidal system and the average value for functionality index (EDSS score) is 3.03 ± 0.13, where 3 means easy paraparesis or hemiparesis. In considering postural strategies, we observed an instability left to right to be more evident in the swing phase and it influences the under the foot impulse for the next step and postural control. From the analysis of the data and pressure centre position, we can see that the high pressure is on metatarsian II to III and more or less at the heel. This means the development of an ankle strategy necessary to restore balance, stability and motor control cannot be assessed other than by clinical evaluation. Even if many physicians and physical therapists do use the functional scale in their daily assessment, it does not help us achieve a complex assessment of gait and lower limb behaviour during gait, nor does it provide information about the impact of gait on daily activities and on quality of life. CONCLUSIONS: Biomechanical assessment can help the clinician predict the functional evolution of MS patients without visible clinical gait disorders and allows the development of a strategy for rehabilitation to prevent an incorrect ankle/ankle and foot position, resulting in a lack of motor control. BioMed Central 2014-12-24 /pmc/articles/PMC4301622/ /pubmed/25539821 http://dx.doi.org/10.1186/s40001-014-0073-5 Text en © Rusu et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Rusu, Ligia
Neamtu, Marius Cristian
Rosulescu, Eugenia
Cosma, Germina
Dragomir, Mihai
Marin, Mihnea Ion
Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
title Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
title_full Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
title_fullStr Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
title_full_unstemmed Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
title_short Analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
title_sort analysis of foot and ankle disorders and prediction of gait in multiple sclerosis rehabilitation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301622/
https://www.ncbi.nlm.nih.gov/pubmed/25539821
http://dx.doi.org/10.1186/s40001-014-0073-5
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