Skip to main content
Top
Published in: Journal of NeuroEngineering and Rehabilitation 1/2015

Open Access 01-12-2015 | Research

Spatial and temporal characteristics of gait as outcome measures in multiple sclerosis (EDSS 0 to 6.5)

Authors: Jana Lizrova Preiningerova, Klara Novotna, Jan Rusz, Lucie Sucha, Evzen Ruzicka, Eva Havrdova

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2015

Login to get access

Abstract

Background

Gait impairment represents one of the most common and disabling symptom of multiple sclerosis. Quantification of the gait is an important aspect of clinical trials. In order to identify which temporal or spatial parameters of gait could be used as outcome measures in interventional studies of patients with different levels of disability, we evaluated characteristics of these parameters in MS patients across the whole spectrum of mobility from EDSS 0 to 6.5.

Methods

This is a cross-sectional study of spatial and temporal parameters of gait at self selected speed and at fast speed of walking in 284 patients with multiple sclerosis (108 men, mean age 38 years ± SD 10.8 years, range 18–64) divided into seven levels of disability (EDSS 0 to 1.5, EDSS 2.0 to 2.5, EDSS 3.0 to 3.5, EDSS 4.0 to 4.5, EDSS 5.0 to 5.5, EDSS 6.0, EDSS 6.5).

Results

The velocity of gait decreases with increasing EDSS levels. Hovewer, the spatio-temporal parameters of gait that are involved in this process differ across the EDSS levels. The step length is decreased at higher EDSS levels up to the EDSS 6.0, but was not different between EDSS 6.0 and 6.5. The step time is significantly longer at EDSS 6.0 and 6.5, while the step length remains the same at those levels. The increase in percentage of double support time becomes statistically significant at EDSS 3.0-3.5 and continues to increase until EDSS 6.5. Variability of step time, step length or step width did not show significant difference between studied EDSS levels.

Conclusions

There is no single spatio-temporal parameter of gait (other than velocity of gait) that would show significant differences among all levels of EDSS. The step length reflects shortening of steps at lower EDSS levels (2.0 to 6.0), and percentage of double support time better reflects changes at higher EDSS levels 3.0 – 6.5. Gait variability is not associated with disability in MS and therefore would not be a suitable outcome measure. These observations have to be considered when designing gait experiments with temporal and spatial parameters of gait as outcomes.
Literature
1.
go back to reference Kister I, Chamot E, Salter AR, Cutter GR, Bacon TE, Herbert J. Disability in multiple sclerosis: a reference for patients and clinicians. Neurology. 2013;80:1018–24.CrossRefPubMedCentralPubMed Kister I, Chamot E, Salter AR, Cutter GR, Bacon TE, Herbert J. Disability in multiple sclerosis: a reference for patients and clinicians. Neurology. 2013;80:1018–24.CrossRefPubMedCentralPubMed
2.
go back to reference Benedetti MG, Piperno R, Simoncini L, Bonato P, Tonini A, Giannini S. Gait abnormalities in minimally impaired multiple sclerosis patients. Mult Scler. 1999;5:363–8.CrossRefPubMed Benedetti MG, Piperno R, Simoncini L, Bonato P, Tonini A, Giannini S. Gait abnormalities in minimally impaired multiple sclerosis patients. Mult Scler. 1999;5:363–8.CrossRefPubMed
3.
go back to reference Martin CL, Phillips BA, Kilpatrick TJ, Butzkueven H, Tubridy N, McDonald E, et al. Gait and balance impairment in early multiple sclerosis in the absence of clinical disability. Mult Scler. 2006;12:620–8.CrossRefPubMed Martin CL, Phillips BA, Kilpatrick TJ, Butzkueven H, Tubridy N, McDonald E, et al. Gait and balance impairment in early multiple sclerosis in the absence of clinical disability. Mult Scler. 2006;12:620–8.CrossRefPubMed
4.
go back to reference Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.CrossRefPubMed Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.CrossRefPubMed
5.
go back to reference Albrecht H, Wotzel C, Erasmus LP, Kleinpeter M, Konig N, Pollmann W. Day-to-day variability of maximum walking distance in MS patients can mislead to relevant changes in the Expanded Disability Status Scale (EDSS): average walking speed is a more constant parameter. Mult Scler. 2001;7:105–9.CrossRefPubMed Albrecht H, Wotzel C, Erasmus LP, Kleinpeter M, Konig N, Pollmann W. Day-to-day variability of maximum walking distance in MS patients can mislead to relevant changes in the Expanded Disability Status Scale (EDSS): average walking speed is a more constant parameter. Mult Scler. 2001;7:105–9.CrossRefPubMed
6.
go back to reference Hobart JC, Riazi A, Lamping DL, Fitzpatrick R, Thompson AJ. Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12). Neurology. 2003;60:31–6.CrossRefPubMed Hobart JC, Riazi A, Lamping DL, Fitzpatrick R, Thompson AJ. Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12). Neurology. 2003;60:31–6.CrossRefPubMed
7.
go back to reference Polman CH, Rudick RA. The multiple sclerosis functional composite: a clinically meaningful measure of disability. Neurology. 2010;74 Suppl 3:S8–15.PubMed Polman CH, Rudick RA. The multiple sclerosis functional composite: a clinically meaningful measure of disability. Neurology. 2010;74 Suppl 3:S8–15.PubMed
8.
go back to reference Gehlsen G, Beekman K, Assmann N, Winant D, Seidle M, Carter A. Gait characteristics in multiple sclerosis: progressive changes and effects of exercise on parameters. Arch Phys Med Rehabil. 1986;67:536–9.PubMed Gehlsen G, Beekman K, Assmann N, Winant D, Seidle M, Carter A. Gait characteristics in multiple sclerosis: progressive changes and effects of exercise on parameters. Arch Phys Med Rehabil. 1986;67:536–9.PubMed
9.
go back to reference Morris ME, Cantwell C, Vowels L, Dodd K. Changes in gait and fatigue from morning to afternoon in people with multiple sclerosis. J Neurol Neurosurg Psychiatry. 2002;72:361–5.CrossRefPubMedCentralPubMed Morris ME, Cantwell C, Vowels L, Dodd K. Changes in gait and fatigue from morning to afternoon in people with multiple sclerosis. J Neurol Neurosurg Psychiatry. 2002;72:361–5.CrossRefPubMedCentralPubMed
10.
go back to reference Crenshaw SJ, Royer TD, Richards JG, Hudson DJ. Gait variability in people with multiple sclerosis. Mult Scler. 2006;12:613–9.CrossRefPubMed Crenshaw SJ, Royer TD, Richards JG, Hudson DJ. Gait variability in people with multiple sclerosis. Mult Scler. 2006;12:613–9.CrossRefPubMed
11.
go back to reference Kelleher KJ, Spence W, Solomonidis S, Apatsidis D. The characterisation of gait patterns of people with multiple sclerosis. Disabil Rehabil. 2010;32:1242–50.CrossRefPubMed Kelleher KJ, Spence W, Solomonidis S, Apatsidis D. The characterisation of gait patterns of people with multiple sclerosis. Disabil Rehabil. 2010;32:1242–50.CrossRefPubMed
12.
go back to reference Thoumie P, Lamotte D, Cantalloube S, Faucher M, Amarenco G. Motor determinants of gait in 100 ambulatory patients with multiple sclerosis. Mult Scler. 2005;11:485–91.CrossRefPubMed Thoumie P, Lamotte D, Cantalloube S, Faucher M, Amarenco G. Motor determinants of gait in 100 ambulatory patients with multiple sclerosis. Mult Scler. 2005;11:485–91.CrossRefPubMed
13.
go back to reference Cutlip RG, Mancinelli C, Huber F, DiPasquale J. Evaluation of an instrumented walkway for measurement of the kinematic parameters of gait. Gait Posture. 2000;12:134–8.CrossRefPubMed Cutlip RG, Mancinelli C, Huber F, DiPasquale J. Evaluation of an instrumented walkway for measurement of the kinematic parameters of gait. Gait Posture. 2000;12:134–8.CrossRefPubMed
14.
go back to reference Bilney B, Morris M, Webster K. Concurrent related validity of the GAITRite walkway system for quantification of the spatial and temporal parameters of gait. Gait Posture. 2003;17:68–74.CrossRefPubMed Bilney B, Morris M, Webster K. Concurrent related validity of the GAITRite walkway system for quantification of the spatial and temporal parameters of gait. Gait Posture. 2003;17:68–74.CrossRefPubMed
15.
go back to reference Menz HB, Latt MD, Tiedemann A, Mun San Kwan M, Lord SR. Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. Gait Posture. 2004;20:20–5.CrossRefPubMed Menz HB, Latt MD, Tiedemann A, Mun San Kwan M, Lord SR. Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. Gait Posture. 2004;20:20–5.CrossRefPubMed
16.
go back to reference van der Linden ML, Scott SM, Hooper JE, Cowan P, Mercer TH. Gait kinematics of people with Multiple Sclerosis and the acute application of Functional Electrical Stimulation. Gait Posture. 2014;39:1092–6.CrossRefPubMed van der Linden ML, Scott SM, Hooper JE, Cowan P, Mercer TH. Gait kinematics of people with Multiple Sclerosis and the acute application of Functional Electrical Stimulation. Gait Posture. 2014;39:1092–6.CrossRefPubMed
17.
go back to reference Bohannon RW, Williams Andrews A. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97:182–9.CrossRefPubMed Bohannon RW, Williams Andrews A. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97:182–9.CrossRefPubMed
18.
go back to reference Givon U, Zeilig G, Achiron A, Givon U, Zeilig G, Achiron A. Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GAITRite functional ambulation system. Gait Posture. 2009;29:138–42.CrossRefPubMed Givon U, Zeilig G, Achiron A, Givon U, Zeilig G, Achiron A. Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GAITRite functional ambulation system. Gait Posture. 2009;29:138–42.CrossRefPubMed
19.
go back to reference Sosnoff JJ, Weikert M, Dlugonski D, Smith DC, Motl RW. Quantifying gait impairment in multiple sclerosis using GAITRite technology. Gait Posture. 2011;34:145–7.CrossRefPubMed Sosnoff JJ, Weikert M, Dlugonski D, Smith DC, Motl RW. Quantifying gait impairment in multiple sclerosis using GAITRite technology. Gait Posture. 2011;34:145–7.CrossRefPubMed
20.
go back to reference Socie MJ, Motl RW, Pula JH, Sandroff BM, Sosnoff JJ. Gait variability and disability in multiple sclerosis. Gait Posture. 2013;38:51–5.CrossRefPubMed Socie MJ, Motl RW, Pula JH, Sandroff BM, Sosnoff JJ. Gait variability and disability in multiple sclerosis. Gait Posture. 2013;38:51–5.CrossRefPubMed
21.
go back to reference Balantrapu S, Sandroff BM, Sosnoff JJ, Motl RW. Perceived impact of spasticity is associated with spatial and temporal parameters of gait in multiple sclerosis. ISRN Neurol. 2012;2012:675431.CrossRefPubMedCentralPubMed Balantrapu S, Sandroff BM, Sosnoff JJ, Motl RW. Perceived impact of spasticity is associated with spatial and temporal parameters of gait in multiple sclerosis. ISRN Neurol. 2012;2012:675431.CrossRefPubMedCentralPubMed
22.
go back to reference Hausdorff JM, Schaafsma JD, Balash Y, Bartels AL, Gurevich T, Giladi N. Impaired regulation of stride variability in Parkinson's disease subjects with freezing of gait. Exp Brain Res. 2003;149:187–94.PubMed Hausdorff JM, Schaafsma JD, Balash Y, Bartels AL, Gurevich T, Giladi N. Impaired regulation of stride variability in Parkinson's disease subjects with freezing of gait. Exp Brain Res. 2003;149:187–94.PubMed
Metadata
Title
Spatial and temporal characteristics of gait as outcome measures in multiple sclerosis (EDSS 0 to 6.5)
Authors
Jana Lizrova Preiningerova
Klara Novotna
Jan Rusz
Lucie Sucha
Evzen Ruzicka
Eva Havrdova
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2015
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/s12984-015-0001-0

Other articles of this Issue 1/2015

Journal of NeuroEngineering and Rehabilitation 1/2015 Go to the issue