Literature DB >> 20156050

The characterisation of gait patterns of people with multiple sclerosis.

Kevin John Kelleher1, William Spence, Stephan Solomonidis, Dimitrios Apatsidis.   

Abstract

BACKGROUND: There are relatively few reports describing gait patterns in multiple sclerosis (MS) and most are confined to the analysis of temporal distance parameters with some assessment of joint range of motion. The aim of this study was to perform a biomechanical characterisation of gait patterns among people with MS across a wide range of severity of ambulatory impairment.
METHODS: Sixteen patients with MS were recruited for this study. Initially, the spasticity of lower limb muscle groups was measured and ambulatory ability was graded. Patients were then placed in two groups based on the level of severity of ambulatory ability. Kinematic, kinetic and EMG gait data from both MS groups were then compared to a control group of 10 healthy subjects.
RESULTS: Patients with MS in both groups were found to walk with reduced gait speed, reduced maximum hip and knee extension, ankle plantarflexion angle and propulsive force compared to the control group. In general, the same gait impairments were found in both MS groups compared to the control group, and were greater for the more severely affected MS patient group.
INTERPRETATION: This study highlights typical gait patterns of people with MS and provides an indication of common pathways in the degeneration of ambulatory ability as a consequence of disease progression. This information should enable improved clinical treatment of ambulation, as well as the prescription, or even design, of appropriate assistive devices.

Entities:  

Mesh:

Year:  2010        PMID: 20156050     DOI: 10.3109/09638280903464497

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  29 in total

1.  Assessment of gait parameters and fatigue in MS patients during inpatient rehabilitation: a pilot trial.

Authors:  Rosaria Sacco; Rita Bussman; Peter Oesch; Jürg Kesselring; Serafin Beer
Journal:  J Neurol       Date:  2010-11-15       Impact factor: 4.849

2.  Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed.

Authors:  R I Spain; R J St George; A Salarian; M Mancini; J M Wagner; F B Horak; D Bourdette
Journal:  Gait Posture       Date:  2012-01-25       Impact factor: 2.840

3.  Objective assessment of motor fatigue in multiple sclerosis: the Fatigue index Kliniken Schmieder (FKS).

Authors:  Aida Sehle; Manfred Vieten; Simon Sailer; Annegret Mündermann; Christian Dettmers
Journal:  J Neurol       Date:  2014-06-22       Impact factor: 4.849

4.  Step-length variability in minimally disabled women with multiple sclerosis or clinically isolated syndrome.

Authors:  Melanie Flegel; Katherine Knox; Darren Nickel
Journal:  Int J MS Care       Date:  2012

5.  The impact of dynamic balance measures on walking performance in multiple sclerosis.

Authors:  Nora E Fritz; Rhul Evans R Marasigan; Peter A Calabresi; Scott D Newsome; Kathleen M Zackowski
Journal:  Neurorehabil Neural Repair       Date:  2014-05-01       Impact factor: 3.919

Review 6.  Comfortable walking speed and energy cost of locomotion in patients with multiple sclerosis.

Authors:  Alex Buoite Stella; Maria Elisa Morelli; Fabiola Giudici; Arianna Sartori; Paolo Manganotti; Pietro Enrico di Prampero
Journal:  Eur J Appl Physiol       Date:  2020-01-09       Impact factor: 3.078

7.  Why patients with multiple sclerosis perceive improvement of gait during treatment with natalizumab?

Authors:  Klara Novotna; Jan Rusz; Eva Kubala Havrdova; Jana Lizrova Preiningerova
Journal:  J Neural Transm (Vienna)       Date:  2019-05-16       Impact factor: 3.575

8.  A reduced somatosensory gating response in individuals with multiple sclerosis is related to walking impairment.

Authors:  David J Arpin; James E Gehringer; Tony W Wilson; Max J Kurz
Journal:  J Neurophysiol       Date:  2017-07-19       Impact factor: 2.714

9.  Is there an association between multiple sclerosis and osteoarthritis in Germany? A retrospective cohort study of 8,600 patients from Germany.

Authors:  Louis Jacob; Lee Smith; Ai Koyanagi; Josep Maria Haro; Marcel Konrad; Christian Tanislav; Karel Kostev
Journal:  Mult Scler J Exp Transl Clin       Date:  2021-06-28

10.  The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis.

Authors:  Andrew S Monaghan; Jessie M Huisinga; Daniel S Peterson
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.996

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