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Ryabov S.A.

Pirogov Russian National Research Medical University

Boyko A.N.

Pirogov Russian National Research Medical University;
Federal Center of Brain Research and Neurotechnologies of the Federal Medical Biological Agency

Knee range of motion as a marker of the effectiveness of medical intervention in multiple sclerosis

Authors:

Ryabov S.A., Boyko A.N.

More about the authors

Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2023;123(7‑2): 84‑87

DOI: 10.17116/jnevro202312307284

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Table of contents

KNEE RANGE OF MOTION AS A MARKER OF THE EFFECTIVENESS OF MEDICAL INTERVENTION IN MULTIPLE SCLEROSIS
KNEE RANGE OF MOTION AS A MARKER OF THE EFFECTIVENESS OF MEDICAL INTERVENTION IN MULTIPLE SCLEROSIS

To cite this article:

Ryabov SA, Boyko AN. Knee range of motion as a marker of the effectiveness of medical intervention in multiple sclerosis. S.S. Korsakov Journal of Neurology and Psychiatry. 2023;123(7‑2):84‑87. (In Russ.)
https://doi.org/10.17116/jnevro202312307284

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова. Спецвыпуски (S.S. Korsakov Journal of Neurology and Psychiatry (special issues))
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To measure the knee range of motion (ROM) in the sagittal plane by video analysis in patients with multiple sclerosis (MS) after a course of medical rehabilitation and determine the minimal clinically important differences (MCID).

MATERIAL AND METHODS

We examined 45 patients (37 women, 8 men) with relapsing-remitting (n=38) and secondary-progressive MS before and after a course of medical rehabilitation. Gait parameters were recorded on video analysis system Physiomed Smart («Physiomed», Germany, the Davis protocol).

RESULTS

The course of complex medical rehabilitation contributes to an increase knee ROM in MS patients in a wide range of disability (EDSS <6.5 points). MCID is estimated as 7.14° in mild (EDSS ≤4.0) and as 7.67° in moderate (EDSS=4.5—5.5) gait impairment.

CONCLUSION

The results will assist clinicians and researchers in interpreting the significance of observed kinematic changes in the knee joint in MS patients after medical intervention.

Keywords:

multiple sclerosis
MS
outcome measures
rehabilitation
3DGA
gait

Authors:

Ryabov S.A.

Pirogov Russian National Research Medical University

Boyko A.N.

Pirogov Russian National Research Medical University;
Federal Center of Brain Research and Neurotechnologies of the Federal Medical Biological Agency

Received:

22.04.2023

Accepted:

26.04.2023

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References:

  1. Amatya B, Khan F, Galea M. Rehabilitation for people with multiple sclerosis: an overview of Cochrane Reviews. Cochrane Database of Systematic Reviews. 2019;1(1):CD012732. https://doi.org/10.1002/14651858.CD012732.pub2
  2. Řasová K, Martinková P, Soler B, et al. Real-World Goal Setting and Use of Outcome Measures According to the International Classification of Functioning, Disability and Health: A European Survey of Physical Therapy Practice in Multiple Sclerosis. Int J Environ Res Public Health. 2020;17(13):4774. https://doi.org/10.3390/ijerph17134774
  3. Coca-Tapia M, Cuesta-Gómez A, Molina-Rueda F, et al. Gait Pattern in People with Multiple Sclerosis: A Systematic Review. Diagnostics (Basel). 2021;11(4):584. Published 2021 Mar 24.  https://doi.org/10.3390/diagnostics11040584
  4. Pau M, Coghe G, Corona F, et al. Effect of spasticity on kinematics of gait and muscular activation in people with Multiple Sclerosis. J Neurol Sci. 2015;358(1-2):339-344.  https://doi.org/10.1016/j.jns.2015.09.352
  5. Guzik A, Drużbicki M, Wolan-Nieroda A, et al. Estimating Minimal Clinically Important Differences for Knee Range of Motion after Stroke. J Clin Med. 2020;9(10):3305. Published 2020 Oct 15.  https://doi.org/10.3390/jcm9103305
  6. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162-173.  https://doi.org/10.1016/S1474-4422(17)30470-2
  7. Davis RB, Õunpuu S, Tyburski D, Gage JR. A gait analysis data collection and reduction technique. Human Movement Science. 1991;10(5):575-587.  https://doi.org/10.1016/0167-9457(91)90046-Z
  8. Revicki D, Hays RD, Cella D, et al. Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. J Clin Epidemiol. 2008;61(2):102-109.  https://doi.org/10.1016/j.jclinepi.2007.03.012
  9. Guzik A, Drużbicki M, Perenc L, et al. Establishing the Minimal Clinically Important Differences for Sagittal Hip Range of Motion in Chronic Stroke Patients. Front Neurol. 2021;12:700190. Published 2021 Sep 1.  https://doi.org/10.3389/fneur.2021.700190
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