Literature DB >> 24405749

Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months.

Rebecca I Spain1, Martina Mancini2, Fay B Horak2, Dennis Bourdette3.   

Abstract

Gait and balance deficits are a frequent complaint in MS but poorly captured by stopwatch-timed tests or rating scales. Body-worn accelerometers and gyroscopes are able to detect gait and balance abnormalities in people with MS who have normal walking speeds. Few longitudinal studies exist using this technology to study the evolution of mobility deficits. The purpose of this study was to determine if body-worn sensors detected any decline in gait and balance measures in people with MS over time. Twenty-seven people with MS (13 mildly disabled, self-rated expanded disability status scale 0-3.5; 14 moderately disabled, SR-EDSS 4.0-5.5) who had normal walking speeds and 18 matched control subjects underwent gait and balance testing using body-worn sensors every 6 months for 18 months. While no parameter worsened over time, the moderately disabled MS cohort performed more poorly than the mildly disabled MS cohort who, in turn, was worse than control subjects for both objective and subjective walking and balance measures. Furthermore, the moderately disabled MS cohort demonstrated greater variation in between-visit performance than did the less disabled MS cohort or controls (Bonferroni-corrected p<0.05). Variability may be a key indicator of worsening gait and balance disability in MS. Published by Elsevier B.V.

Entities:  

Keywords:  Accelerometry; Gait; Multiple sclerosis; Outcome assessment; Postural balance

Mesh:

Year:  2013        PMID: 24405749      PMCID: PMC4010096          DOI: 10.1016/j.gaitpost.2013.12.010

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  23 in total

Review 1.  The Multiple Sclerosis Functional Composite Measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force.

Authors:  J S Fischer; R A Rudick; G R Cutter; S C Reingold
Journal:  Mult Scler       Date:  1999-08       Impact factor: 6.312

2.  Validity of six balance disorders scales in persons with multiple sclerosis.

Authors:  Davide Cattaneo; Alberto Regola; Matteo Meotti
Journal:  Disabil Rehabil       Date:  2006-06-30       Impact factor: 3.033

3.  Disability progression in multiple sclerosis is slower than previously reported.

Authors:  Helen Tremlett; Donald Paty; Virginia Devonshire
Journal:  Neurology       Date:  2006-01-24       Impact factor: 9.910

4.  Natural history of multiple sclerosis: a unifying concept.

Authors:  Christian Confavreux; Sandra Vukusic
Journal:  Brain       Date:  2006-01-16       Impact factor: 13.501

5.  Accelerometry reveals differences in gait variability between patients with multiple sclerosis and healthy controls.

Authors:  Jessie M Huisinga; Martina Mancini; Rebecca J St George; Fay B Horak
Journal:  Ann Biomed Eng       Date:  2012-11-18       Impact factor: 3.934

6.  Inter- and intrarater scoring agreement using grades 1.0 to 3.5 of the Kurtzke Expanded Disability Status Scale (EDSS). Multiple Sclerosis Collaborative Research Group.

Authors:  D E Goodkin; D Cookfair; K Wende; D Bourdette; P Pullicino; B Scherokman; R Whitham
Journal:  Neurology       Date:  1992-04       Impact factor: 9.910

7.  The significant change for the Timed 25-foot Walk in the multiple sclerosis functional composite.

Authors:  M Kaufman; D Moyer; J Norton
Journal:  Mult Scler       Date:  2000-08       Impact factor: 6.312

8.  Gait variability in people with multiple sclerosis.

Authors:  S J Crenshaw; T D Royer; J G Richards; D J Hudson
Journal:  Mult Scler       Date:  2006-10       Impact factor: 6.312

9.  Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

10.  Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12).

Authors:  J C Hobart; A Riazi; D L Lamping; R Fitzpatrick; A J Thompson
Journal:  Neurology       Date:  2003-01-14       Impact factor: 9.910

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  18 in total

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Authors:  Martina Mancini; Fay B Horak
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2.  Longitudinal relationships among posturography and gait measures in multiple sclerosis.

Authors:  Nora E Fritz; Scott D Newsome; Ani Eloyan; Rhul Evans R Marasigan; Peter A Calabresi; Kathleen M Zackowski
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3.  Role of body-worn movement monitor technology for balance and gait rehabilitation.

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Journal:  Phys Ther       Date:  2014-12-11

4.  Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects.

Authors:  Matthew M Engelhard; Sriram Raju Dandu; Stephen D Patek; John C Lach; Myla D Goldman
Journal:  Gait Posture       Date:  2016-07-27       Impact factor: 2.840

5.  Standing balance and strength measurements in older adults living in residential care communities.

Authors:  Bader A Alqahtani; Mary Ann Ferchak; Theodore J Huppert; Ervin Sejdic; Subashan Perera; Susan L Greenspan; Patrick J Sparto
Journal:  Aging Clin Exp Res       Date:  2016-12-20       Impact factor: 3.636

6.  Using Body-Worn Sensors to Detect Changes in Balance and Mobility After Acute Aerobic Exercise in Adults with Multiple Sclerosis.

Authors:  Susan L Kasser; Jesse V Jacobs; Jeremy Sibold; Avery Marcus; Laurel Cole
Journal:  Int J MS Care       Date:  2020 Jan-Feb

7.  Effects of using assistive devices on the components of the modified instrumented timed up and go test in healthy subjects.

Authors:  Turki S Abualait; Ghazi K Alnajdi
Journal:  Heliyon       Date:  2021-04-30

Review 8.  Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Authors:  Camille J Shanahan; Frederique M C Boonstra; L Eduardo Cofré Lizama; Myrte Strik; Bradford A Moffat; Fary Khan; Trevor J Kilpatrick; Anneke van der Walt; Mary P Galea; Scott C Kolbe
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

9.  Detection of postural sway abnormalities by wireless inertial sensors in minimally disabled patients with multiple sclerosis: a case-control study.

Authors:  Andrew J Solomon; Jesse V Jacobs; Karen V Lomond; Sharon M Henry
Journal:  J Neuroeng Rehabil       Date:  2015-09-01       Impact factor: 4.262

10.  Maximum walking speed in multiple sclerosis assessed with visual perceptive computing.

Authors:  Anuschka Grobelny; Janina R Behrens; Sebastian Mertens; Karen Otte; Sebastian Mansow-Model; Theresa Krüger; Elona Gusho; Judith Bellmann-Strobl; Friedemann Paul; Alexander U Brandt; Tanja Schmitz-Hübsch
Journal:  PLoS One       Date:  2017-12-15       Impact factor: 3.240

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