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Newly Identified Gait Patterns in Patients With Multiple Sclerosis May Be Related to Push-off Quality

Jiska C.E. Kempen, Caroline A.M. Doorenbosch, Dirk L. Knol, Vincent de Groot, Heleen Beckerman
DOI: 10.2522/ptj.20150508 Published 1 November 2016
Jiska C.E. Kempen
J.C.E. Kempen, PhD, Department of Rehabilitation Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, the Netherlands; EMGO Institute for Health and Care Research, VU University and VU University Medical Center; and MS Center, Amsterdam, the Netherlands.
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Caroline A.M. Doorenbosch
C.A.M. Doorenbosch, PhD, Department of Rehabilitation Medicine, VU University Medical Center; Research Institute MOVE, VU University and VU University Medical Center; and Academy of Human Kinetic Technology, The Hague University of Applied Sciences, The Hague, the Netherlands.
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Dirk L. Knol
D.L. Knol, PhD, Department of Epidemiology and Biostatistics, VU University Medical Center.
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Vincent de Groot
V. de Groot, MD, PhD, Department of Rehabilitation Medicine, VU University Medical Center; EMGO Institute for Health and Care Research, VU University and VU University Medical Center; and MS Center.
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Heleen Beckerman
H. Beckerman, PhD, Department of Rehabilitation Medicine, VU University Medical Center; EMGO Institute for Health and Care Research, VU University and VU University Medical Center; and MS Center.
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Abstract

Background Limited walking ability is an important problem for patients with multiple sclerosis. A better understanding of how gait impairments lead to limited walking ability may help to develop more targeted interventions. Although gait classifications are available in cerebral palsy and stroke, relevant knowledge in MS is scarce.

Objective The aims of this study were: (1) to identify distinctive gait patterns in patients with MS based on a combined evaluation of kinematics, gait features, and muscle activity during walking and (2) to determine the clinical relevance of these gait patterns.

Design This was a cross-sectional study of 81 patients with MS of mild-to-moderate severity (Expanded Disability Status Scale [EDSS] median score=3.0, range=1.0–7.0) and an age range of 28 to 69 years.

Method The patients participated in 2-dimensional video gait analysis, with concurrent measurement of surface electromyography and ground reaction forces. A score chart of 73 gait items was used to rate each gait analysis. A single rater performed the scoring. Latent class analysis was used to identify gait classes.

Results Analysis of the 73 gait variables revealed that 9 variables could distinguish 3 clinically meaningful gait classes. The 9 variables were: (1) heel-rise in terminal stance, (2) push-off, (3) clearance in initial swing, (4) plantar-flexion position in mid-swing, (5) pelvic rotation, (6) arm-trunk movement, (7) activity of the gastrocnemius muscle in pre-swing, (8) M-wave, and (9) propulsive force. The EDSS score and gait speed worsened in ascending classes.

Limitations Most participants had mild-to-moderate limitations in walking ability based on their EDSS scores, and the number of walkers who were severely limited was small.

Conclusions Based on a small set of 9 variables measured with 2-dimensional clinical gait analysis, patients with MS could be divided into 3 different gait classes. The gait variables are suggestive of insufficient ankle push-off.

Footnotes

  • Dr Kempen, Dr Doorenbosch, Professor de Groot, and Dr Beckerman provided concept/idea/research design and project management. Dr Kempen, Professor de Groot, and Dr Beckerman provided writing, participants, and facilities/equipment. Dr Kempen and Dr Doorenbosch provided data collection. Dr Kempen, Dr Doorenbosch, Dr Knol, and Professor de Groot provided data analysis. Professor de Groot and Dr Beckerman provided fund procurement. Dr Kempen, Professor de Groot, and Dr Beckerman provided participants and facilities/equipment. Professor de Groot provided institutional liaisons. Dr Knol and Dr Beckerman provided consultation (including review of manuscript before submission). Professor de Groot and Dr Doorenbosch are the clinical expert and gait analysis expert, respectively. The authors thank Kim van Hutten, Tanneke Vogelaar, and Jannet Meester for their assistance during the clinical gait analysis.

  • The Medical Ethics Committee of VU University Medical Center granted approval for this study.

  • This study was supported by a grant of the Dutch MS Research Foundation (grant: 05-570 MS) and Fonds Nuts Ohra (grant: SNO-T-0601-68).

  • Received September 23, 2015.
  • Accepted May 1, 2016.
  • © 2016 American Physical Therapy Association
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Vol 96 Issue 11 Table of Contents
Physical Therapy: 96 (11)

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  • Objective Gait and Balance Impairments Relate to Balance Confidence and Perceived Mobility in People With Parkinson Disease
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  • Outcome Measure Recommendations From the Spinal Cord Injury EDGE Task Force
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Newly Identified Gait Patterns in Patients With Multiple Sclerosis May Be Related to Push-off Quality
Jiska C.E. Kempen, Caroline A.M. Doorenbosch, Dirk L. Knol, Vincent de Groot, Heleen Beckerman
Physical Therapy Nov 2016, 96 (11) 1744-1752; DOI: 10.2522/ptj.20150508

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Newly Identified Gait Patterns in Patients With Multiple Sclerosis May Be Related to Push-off Quality
Jiska C.E. Kempen, Caroline A.M. Doorenbosch, Dirk L. Knol, Vincent de Groot, Heleen Beckerman
Physical Therapy Nov 2016, 96 (11) 1744-1752; DOI: 10.2522/ptj.20150508
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Show more Neurology

Subjects

  • Neurology/Neuromuscular System
    • Multiple Sclerosis
  • Musculoskeletal System/Orthopedic
    • Kinesiology/Biomechanics
    • Gait Disorders

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