Literature DB >> 21076978

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

Rosaria Sacco1, Rita Bussman, Peter Oesch, Jürg Kesselring, Serafin Beer.   

Abstract

Gait impairment and fatigue are common and disabling problems in multiple sclerosis (MS). Characterisation of abnormal gait in MS patients has been done mainly using observational studies and simple walking tests providing only limited quantitative and no qualitative data, or using intricate and time-consuming assessment procedures. In addition, the correlation of gait impairments with fatigue is largely unknown. The aim of this study was to characterise spatio-temporal gait parameters by a simple and easy-to-use gait analysis system (GAITRite®) in MS patients compared with healthy controls, and to analyse changes and correlation with fatigue during inpatient rehabilitation. Twenty-four MS patients (EDSS <6.5) admitted for inpatient rehabilitation and 19 healthy subjects were evaluated using the GAITRite® Functional Ambulation System. Between-group differences and changes of gait parameters during inpatient rehabilitation were analysed, and correlation with fatigue, using the Wurzburg Fatigue Inventory for Multiple Sclerosis (WEIMuS), was determined. Compared to healthy controls MS patients showed significant impairments in different spatio-temporal gait parameters, which showed a significant improvement during inpatient rehabilitation. Different gait parameters were correlated with fatigue physical score, and change of gait parameters was correlated with improvement of fatigue. Spatio-temporal gait analysis is helpful to assess specific walking impairments in MS patients and subtle changes during rehabilitation. Correlation with fatigue may indicate a possible negative impact of fatigue on rehabilitation outcome.

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Mesh:

Year:  2010        PMID: 21076978     DOI: 10.1007/s00415-010-5821-z

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  44 in total

1.  Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters.

Authors:  P Flachenecker; T Kümpfel; B Kallmann; M Gottschalk; O Grauer; P Rieckmann; C Trenkwalder; K V Toyka
Journal:  Mult Scler       Date:  2002-12       Impact factor: 6.312

2.  Concurrent related validity of the GAITRite walkway system for quantification of the spatial and temporal parameters of gait.

Authors:  Belinda Bilney; Meg Morris; Kate Webster
Journal:  Gait Posture       Date:  2003-02       Impact factor: 2.840

3.  Physical activity and multiple sclerosis: a meta-analysis.

Authors:  Robert W Motl; Edward McAuley; Erin M Snook
Journal:  Mult Scler       Date:  2005-08       Impact factor: 6.312

4.  Can aerobic treadmill training reduce the effort of walking and fatigue in people with multiple sclerosis: a pilot study.

Authors:  M A Newman; H Dawes; M van den Berg; D T Wade; J Burridge; H Izadi
Journal:  Mult Scler       Date:  2007-01       Impact factor: 6.312

Review 5.  Physiological basis of fatigue.

Authors:  William J Evans; Charles P Lambert
Journal:  Am J Phys Med Rehabil       Date:  2007-01       Impact factor: 2.159

6.  Locomotor training using body weight support on a treadmill improves mobility in persons with multiple sclerosis: a pilot study.

Authors:  Barbara Giesser; Janell Beres-Jones; Amy Budovitch; Elise Herlihy; Susan Harkema
Journal:  Mult Scler       Date:  2007-03       Impact factor: 6.312

7.  [A study of the quality of life in cases of multiple sclerosis].

Authors:  J M Delgado-Mendilívar; J C Cadenas-Díaz; J M Fernández-Torrico; G Navarro-Mascarell; G Izquierdo
Journal:  Rev Neurol       Date:  2005 Sep 1-15       Impact factor: 0.870

8.  The validity of the GaitRite and the Functional Ambulation Performance scoring system in the analysis of Parkinson gait.

Authors:  Arthur J Nelson; Dalia Zwick; Susan Brody; Christine Doran; Lori Pulver; Gitty Rooz; Marla Sadownick; Roger Nelson; Jeffrey Rothman
Journal:  NeuroRehabilitation       Date:  2002       Impact factor: 2.138

9.  Treadmill training for individuals with multiple sclerosis: a pilot randomised trial.

Authors:  M van den Berg; H Dawes; D T Wade; M Newman; J Burridge; H Izadi; C M Sackley
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-04       Impact factor: 10.154

Review 10.  Fatigue associated with multiple sclerosis: diagnosis, impact and management.

Authors:  Rohit Bakshi
Journal:  Mult Scler       Date:  2003-06       Impact factor: 6.312

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  12 in total

1.  Progress in multiple sclerosis research in the last year.

Authors:  Daniela Galimberti; Elio Scarpini
Journal:  J Neurol       Date:  2012-06-22       Impact factor: 4.849

Review 2.  Rehabilitation interventions in multiple sclerosis: an overview.

Authors:  Serafin Beer; Fary Khan; Jürg Kesselring
Journal:  J Neurol       Date:  2012-07-08       Impact factor: 4.849

Review 3.  [Multiple sclerosis : rehabilitation and long-term course].

Authors:  S Beer; J Kesselring
Journal:  Ophthalmologe       Date:  2014-08       Impact factor: 1.059

4.  Trunk sway in mildly disabled multiple sclerosis patients with and without balance impairment.

Authors:  Oliver Findling; Johann Sellner; Niklaus Meier; John H J Allum; Dominique Vibert; Carmen Lienert; Heinrich P Mattle
Journal:  Exp Brain Res       Date:  2011-07-20       Impact factor: 1.972

5.  Effect of Training Exercises Incorporating Mechanical Devices on Fatigue and Gait Pattern in Persons with Relapsing-Remitting Multiple Sclerosis.

Authors:  Shahid Escudero-Uribe; Anja Hochsprung; Beatriz Heredia-Camacho; Guillermo Izquierdo-Ayuso
Journal:  Physiother Can       Date:  2017       Impact factor: 1.037

6.  Association between perceived fatigue and gait parameters measured by an instrumented treadmill in people with multiple sclerosis: a cross-sectional study.

Authors:  Alon Kalron
Journal:  J Neuroeng Rehabil       Date:  2015-04-02       Impact factor: 4.262

Review 7.  Effect of rhythmic auditory stimulation on gait kinematic parameters of patients with multiple sclerosis.

Authors:  M Shahraki; M Sohrabi; H R Taheri Torbati; K Nikkhah; M NaeimiKia
Journal:  J Med Life       Date:  2017 Jan-Mar

8.  Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis.

Authors:  Alzhraa A Ibrahim; Arne Küderle; Heiko Gaßner; Jochen Klucken; Bjoern M Eskofier; Felix Kluge
Journal:  J Neuroeng Rehabil       Date:  2020-12-18       Impact factor: 4.262

9.  Factors for lower walking speed in persons with multiple sclerosis.

Authors:  Leandro Alberto Calazans Nogueira; Luciano Teixeira Dos Santos; Pollyane Galinari Sabino; Regina Maria Papais Alvarenga; Luiz Claudio Santos Thuler
Journal:  Mult Scler Int       Date:  2013-03-31

10.  Effects of Rehabilitation on Gait Pattern at Usual and Fast Speeds Depend on Walking Impairment Level in Multiple Sclerosis.

Authors:  Carmela Leone; Alon Kalron; Tori Smedal; Britt Normann; Inez Wens; Bert O Eijnde; Peter Feys
Journal:  Int J MS Care       Date:  2018 Sep-Oct
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