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Published in: Systematic Reviews 1/2019

Open Access 01-12-2019 | Multiple Sclerosis | Protocol

Value of gait analysis for measuring disease severity using inertial sensors in patients with multiple sclerosis: protocol for a systematic review and meta-analysis

Authors: A. Vienne-Jumeau, F. Quijoux, P. P. Vidal, D. Ricard

Published in: Systematic Reviews | Issue 1/2019

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Abstract

Background

Gait impairment is a hallmark of multiple sclerosis (MS) which significantly endangers the quality of life of the individual. Inertial measurement units (IMUs) are small, light wearable sensors that can be used in routine neurological practice. InertiaLocoGraphy (ILG), the quantification of gait with IMUs, has proven useful to detect early changes in MS undetectable with standard stopwatch-timed measures. Still, whether such markers are useful for evaluating the severity of the disease remains unknown. Therefore, the correlation between ILG and disease progression would be worth exploring.

Methods

We will search MEDLINE via PubMed, Cochrane, and EMBASE electronic databases to identify articles published before May 2, 2018 that measure gait using IMUs in MS patients. In addition, grey literature will be searched. Inclusion criteria will be adults with a clinical diagnosis of MS and gait measured by using inertial sensors. We will exclude from the meta-analysis articles that do not provide sufficient data for evaluating the correlations between ILG parameters and disease severity as measured by at least one of the six following tests: the Expanded Disability Status Scale (EDSS), the Multiple Sclerosis Walking Scale-12 (MSWS), the Multiple Sclerosis Severity Score (MSSS), the Multiple Sclerosis Impact Scale (MSIS-29), the Multiple Sclerosis Functional Composite (MSFC), and the Timed 25-ft Walk Test (T25FW). Extracted data from included articles will be presented descriptively, and effect sizes will be computed based on the recommendations from the Cochrane Collaboration handbook and RevMan software.

Discussion

Identifying changes in disease state throughout the course of MS is essential for optimal care. Current clinical and performance tests allow for identifying advanced gait alteration but lack sensitivity to detect subtle gait change. IMUs can be easily used in clinical practice to quantify gait in MS patients. Nevertheless, whether these outcomes are clinically relevant is uncertain because no study has evaluated their correlation with disease severity across different settings. This systematic review and meta-analysis would bring insight into the potential of this outcome as a marker of disease evolution.

Systematic review registration

This review was registered with the International Prospective Register of Systematic Reviews on May 2, 2018 (Registration: CRD42018092651). Both the search strategy and study protocol are available at https://​www.​crd.​york.​ac.​uk/​PROSPERO/​display_​record.​php?​RecordID=​92651.
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Literature
1.
go back to reference Heesen C, Böhm J, Reich C, Kasper J, Goebel M, Gold S. Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable. Mult Scler J. 2008;14(7):988–91.CrossRef Heesen C, Böhm J, Reich C, Kasper J, Goebel M, Gold S. Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable. Mult Scler J. 2008;14(7):988–91.CrossRef
2.
go back to reference Meyer-Moock S, Feng Y-S, Maeurer M, Dippel F-W, Kohlmann T. Systematic literature review and validity evaluation of the Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Functional Composite (MSFC) in patients with multiple sclerosis. BMC Neurol. 2014;14:58.CrossRef Meyer-Moock S, Feng Y-S, Maeurer M, Dippel F-W, Kohlmann T. Systematic literature review and validity evaluation of the Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Functional Composite (MSFC) in patients with multiple sclerosis. BMC Neurol. 2014;14:58.CrossRef
3.
go back to reference Noseworthy JH. Clinical scoring methods for multiple sclerosis. Ann Neurol. 1994;36:S80–5.CrossRef Noseworthy JH. Clinical scoring methods for multiple sclerosis. Ann Neurol. 1994;36:S80–5.CrossRef
4.
go back to reference Noseworthy JH, Vandervoort MK, Wong CJ, Ebers GC. Interrater variability with the Expanded Disability Status Scale (EDSS) and Functional Systems (FS) in a multiple sclerosis clinical trial. The Canadian Cooperation MS Study Group. Neurology. 1990;40(6):971–5.CrossRef Noseworthy JH, Vandervoort MK, Wong CJ, Ebers GC. Interrater variability with the Expanded Disability Status Scale (EDSS) and Functional Systems (FS) in a multiple sclerosis clinical trial. The Canadian Cooperation MS Study Group. Neurology. 1990;40(6):971–5.CrossRef
5.
go back to reference Roxburgh RHSR, et al. Multiple sclerosis severity score: using disability and disease duration to rate disease severity. Neurology. 2005;64(7):1144–51.CrossRef Roxburgh RHSR, et al. Multiple sclerosis severity score: using disability and disease duration to rate disease severity. Neurology. 2005;64(7):1144–51.CrossRef
6.
go back to reference Goodman AD, et al. Dose comparison trial of sustained-release fampridine in multiple sclerosis. Neurology. 2008;71(15):1134–41.CrossRef Goodman AD, et al. Dose comparison trial of sustained-release fampridine in multiple sclerosis. Neurology. 2008;71(15):1134–41.CrossRef
7.
go back to reference Kragt JJ, van der Linden F a H, Nielsen JM, Uitdehaag BMJ, Polman CH. Clinical impact of 20% worsening on timed 25-foot walk and 9-hole peg test in multiple sclerosis. Mult Scler Houndmills Basingstoke Engl. 2006;12(5):594–8.CrossRef Kragt JJ, van der Linden F a H, Nielsen JM, Uitdehaag BMJ, Polman CH. Clinical impact of 20% worsening on timed 25-foot walk and 9-hole peg test in multiple sclerosis. Mult Scler Houndmills Basingstoke Engl. 2006;12(5):594–8.CrossRef
8.
go back to reference Rudick RA, Cutter G, Reingold S. The multiple sclerosis functional composite: a new clinical outcome measure for multiple sclerosis trials. Mult Scler Houndmills Basingstoke Engl. 2002;8(5):359–65.CrossRef Rudick RA, Cutter G, Reingold S. The multiple sclerosis functional composite: a new clinical outcome measure for multiple sclerosis trials. Mult Scler Houndmills Basingstoke Engl. 2002;8(5):359–65.CrossRef
9.
go back to reference Fischer JS, Rudick RA, Cutter GR, Reingold SC. The Multiple Sclerosis Functional Composite measure (MSFC): an integrated approach to MS clinical outcome assessment. Mult Scler J. 1999;5(4):244–50.CrossRef Fischer JS, Rudick RA, Cutter GR, Reingold SC. The Multiple Sclerosis Functional Composite measure (MSFC): an integrated approach to MS clinical outcome assessment. Mult Scler J. 1999;5(4):244–50.CrossRef
10.
go back to reference Smidt GL, Arora JS, Johnston RC. Accelerographic analysis of several types of walking. Am J Phys Med. 1971;50(6):285–300.PubMed Smidt GL, Arora JS, Johnston RC. Accelerographic analysis of several types of walking. Am J Phys Med. 1971;50(6):285–300.PubMed
11.
go back to reference Barrois R, et al. Quantify osteoarthritis gait at the doctor’s office: a simple pelvis accelerometer based method independent from footwear and aging. Comput Methods Biomech Biomed Engin. 2015;18(1):1880–1.CrossRef Barrois R, et al. Quantify osteoarthritis gait at the doctor’s office: a simple pelvis accelerometer based method independent from footwear and aging. Comput Methods Biomech Biomed Engin. 2015;18(1):1880–1.CrossRef
12.
go back to reference Barrois R, et al. Observational study of 180° turning strategies using inertial measurement units and fall risk in post-stroke hemiparetic patients. Front Neurol. 2017;8:194.CrossRef Barrois R, et al. Observational study of 180° turning strategies using inertial measurement units and fall risk in post-stroke hemiparetic patients. Front Neurol. 2017;8:194.CrossRef
13.
go back to reference Vienne A, Barrois RP, Buffat S, Ricard D, Vidal P-P. Inertial sensors to assess gait quality in patients with neurological disorders: a systematic review of technical and analytical challenges. Front Psychol. 2017;8:817.CrossRef Vienne A, Barrois RP, Buffat S, Ricard D, Vidal P-P. Inertial sensors to assess gait quality in patients with neurological disorders: a systematic review of technical and analytical challenges. Front Psychol. 2017;8:817.CrossRef
14.
go back to reference Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009;62(10):1006–12.CrossRef Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009;62(10):1006–12.CrossRef
15.
go back to reference Stroup DF, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000;283(15):2008–12.CrossRef Stroup DF, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000;283(15):2008–12.CrossRef
16.
go back to reference Hubble RP, Naughton GA, Silburn PA, Cole MH. Wearable sensor use for assessing standing balance and walking stability in people with Parkinson’s disease: a systematic review. PLoS One. 2015;10(4):e0123705.CrossRef Hubble RP, Naughton GA, Silburn PA, Cole MH. Wearable sensor use for assessing standing balance and walking stability in people with Parkinson’s disease: a systematic review. PLoS One. 2015;10(4):e0123705.CrossRef
17.
go back to reference Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to meta-analysis. Chichester: Wiley; 2009.CrossRef Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to meta-analysis. Chichester: Wiley; 2009.CrossRef
18.
go back to reference Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.CrossRef Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.CrossRef
20.
go back to reference Jokubaitis VG, et al. Predictors of long-term disability accrual in relapse-onset multiple sclerosis. Ann Neurol. 2016;80(1):89–100.CrossRef Jokubaitis VG, et al. Predictors of long-term disability accrual in relapse-onset multiple sclerosis. Ann Neurol. 2016;80(1):89–100.CrossRef
21.
go back to reference Comber L, Galvin R, Coote S. Gait deficits in people with multiple sclerosis: a systematic review and meta-analysis. Gait Posture. 2017;51:25–35.CrossRef Comber L, Galvin R, Coote S. Gait deficits in people with multiple sclerosis: a systematic review and meta-analysis. Gait Posture. 2017;51:25–35.CrossRef
22.
go back to reference Gijbels D, et al. Which walking capacity tests to use in multiple sclerosis? A multicentre study providing the basis for a core set. Mult Scler J. 2012;18(3):364–71.CrossRef Gijbels D, et al. Which walking capacity tests to use in multiple sclerosis? A multicentre study providing the basis for a core set. Mult Scler J. 2012;18(3):364–71.CrossRef
Metadata
Title
Value of gait analysis for measuring disease severity using inertial sensors in patients with multiple sclerosis: protocol for a systematic review and meta-analysis
Authors
A. Vienne-Jumeau
F. Quijoux
P. P. Vidal
D. Ricard
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2019
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-018-0918-z

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