Quantifying Gait Impairment Using an Instrumented Treadmill in People with Multiple Sclerosis

Overview

Journal ISRN Neurol

Specialty Neurology

Date 2013 Jul 24

PMID 23878746

Citations 12

Authors

Alon Kalron

Zeevi Dvir

Lior Frid

Anat Achiron

Affiliations

Soon will be listed here.

Abstract

Background and Objective. Treadmill gait analysis has been proposed as an attractive alternative for overground walking measuring systems. The purpose of this study was twofold: first to determine spatiotemporal parameters of treadmill gait in patients with multiple sclerosis (MS) and second to examine whether these parameters are associated with specific functional impairments in this cohort. Method. Eighty-seven relapsing-remitting patients diagnosed with MS, 50 women and 37 men, aged 40.9 ± 11.9 with an expanded disability status scale (EDSS) score of 2.7 ± 1.6, participated in this study. Twenty-five apparently healthy subjects, 14 women and 11 men, aged 38.5 ± 9.4, served as controls. Spatiotemporal gait parameters were obtained using the Zebris FDM-T Treadmill (Zebris Medical GmbH, Germany). People with MS demonstrated significantly shorter steps, extended stride time, wider base of support, longer step time, reduced single support phase, and a prolonged double support phase compared to the healthy controls. The EDSS score was significantly correlated with all spatiotemporal gait parameters. Conclusion. The instrumented treadmill may be an effective tool in assessing ambulation capabilities of people with MS.

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References

Faude O, Donath L, Roth R, Fricker L, Zahner L . Reliability of gait parameters during treadmill walking in community-dwelling healthy seniors. Gait Posture. 2012; 36(3):444-8. DOI: 10.1016/j.gaitpost.2012.04.003. View

Lassmann H . The pathology of multiple sclerosis and its evolution. Philos Trans R Soc Lond B Biol Sci. 1999; 354(1390):1635-40. PMC: 1692680. DOI: 10.1098/rstb.1999.0508. View

White L, Dressendorfer R . Exercise and multiple sclerosis. Sports Med. 2004; 34(15):1077-100. DOI: 10.2165/00007256-200434150-00005. View

Polman C, Reingold S, Banwell B, Clanet M, Cohen J, Filippi M . Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011; 69(2):292-302. PMC: 3084507. DOI: 10.1002/ana.22366. View

Schniepp R, Wuehr M, Neuhaeusser M, Kamenova M, Dimitriadis K, Klopstock T . Locomotion speed determines gait variability in cerebellar ataxia and vestibular failure. Mov Disord. 2011; 27(1):125-31. DOI: 10.1002/mds.23978. View

Motl R, Suh Y, Dlugonski D, Weikert M, Agiovlasitis S, Fernhall B . Oxygen cost of treadmill and over-ground walking in mildly disabled persons with multiple sclerosis. Neurol Sci. 2010; 32(2):255-62. PMC: 3148148. DOI: 10.1007/s10072-010-0396-0. View

Puh U, Baer G . A comparison of treadmill walking and overground walking in independently ambulant stroke patients: a pilot study. Disabil Rehabil. 2008; 31(3):202-10. DOI: 10.1080/09638280801903039. View

Kalron A, Dvir Z, Achiron A . Walking while talking--difficulties incurred during the initial stages of multiple sclerosis disease process. Gait Posture. 2010; 32(3):332-5. DOI: 10.1016/j.gaitpost.2010.06.002. View

Motl R, Sandroff B, Suh Y, Sosnoff J . Energy cost of walking and its association with gait parameters, daily activity, and fatigue in persons with mild multiple sclerosis. Neurorehabil Neural Repair. 2012; 26(8):1015-21. DOI: 10.1177/1545968312437943. View

10.

Warabi T, Kato M, Kiriyama K, Yoshida T, Kobayashi N . Treadmill walking and overground walking of human subjects compared by recording sole-floor reaction force. Neurosci Res. 2005; 53(3):343-8. DOI: 10.1016/j.neures.2005.08.005. View

11.

Flegel M, Knox K, Nickel D . Step-length variability in minimally disabled women with multiple sclerosis or clinically isolated syndrome. Int J MS Care. 2014; 14(1):26-30. PMC: 3882976. DOI: 10.7224/1537-2073-14.1.26. View

12.

Huisinga J, Filipi M, Schmid K, Stergiou N . Is there a relationship between fatigue questionnaires and gait mechanics in persons with multiple sclerosis?. Arch Phys Med Rehabil. 2011; 92(10):1594-601. DOI: 10.1016/j.apmr.2011.05.017. View

13.

Kirkwood R, de Souza Moreira B, Vallone M, Mingoti S, Dias R, Sampaio R . Step length appears to be a strong discriminant gait parameter for elderly females highly concerned about falls: a cross-sectional observational study. Physiotherapy. 2011; 97(2):126-31. DOI: 10.1016/j.physio.2010.08.007. View

14.

Weinshenker B, Bass B, Rice G, Noseworthy J, Carriere W, Baskerville J . The natural history of multiple sclerosis: a geographically based study. I. Clinical course and disability. Brain. 1989; 112 ( Pt 1):133-46. DOI: 10.1093/brain/112.1.133. View

15.

Hobart J, Lamping D, Fitzpatrick R, Riazi A, Thompson A . The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain. 2001; 124(Pt 5):962-73. DOI: 10.1093/brain/124.5.962. View

16.

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(4):485-91. DOI: 10.1191/1352458505ms1176oa. View

17.

Pearson O, Busse M, Van Deursen R, Wiles C . Quantification of walking mobility in neurological disorders. QJM. 2004; 97(8):463-75. DOI: 10.1093/qjmed/hch084. View

18.

Parvataneni K, Ploeg L, Olney S, Brouwer B . Kinematic, kinetic and metabolic parameters of treadmill versus overground walking in healthy older adults. Clin Biomech (Bristol). 2008; 24(1):95-100. DOI: 10.1016/j.clinbiomech.2008.07.002. View

19.

Givon U, Zeilig G, Achiron A . Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GAITRite functional ambulation system. Gait Posture. 2008; 29(1):138-42. DOI: 10.1016/j.gaitpost.2008.07.011. View

20.

Sosnoff J, Sandroff B, Motl R . Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability. Gait Posture. 2012; 36(1):154-6. DOI: 10.1016/j.gaitpost.2011.11.027. View