Literature DB >> 31255988

Intensity-dependent clinical effects of an individualized technology-supported task-oriented upper limb training program in Multiple Sclerosis: A pilot randomized controlled trial.

Ilse Lamers1, Joke Raats2, Jan Spaas2, Michaël Meuleman2, Lore Kerkhofs3, Sofie Schouteden3, Peter Feys2.   

Abstract

BACKGROUND: Task-oriented training promotes functional recovery in Multiple Sclerosis (MS). Know-how to determine an individualized training intensity and intensity-dependent effects are, however, unknown. The objective of the study was to investigate the feasibility and the clinical effects of a task-oriented upper limb training program at different individualized training intensities with conventional occupational therapy.
METHODS: People with MS (n = 20, EDSS range 4-8) were divided into three groups, receiving task-oriented training at 100% (n = 7) or 50% (n = 8) of their individual maximal number of repetitions, or conventional occupational therapy (n = 5). Effects were evaluated using different upper limb capacity and perceived performance measures on activity level, and measures on body functions and structures level.
RESULTS: Mixed model analyses revealed significant improvements (p < 0.05) over time on the Box and block test (BBT), Action Research Arm Test and the Manual Ability Measure-36. Significant interaction effects (group*time) in favor of the task-oriented group training at the highest intensity were found for BBT and static fatigue index during a maximal sustained handgrip strength test.
CONCLUSION: All participants were able to perform the task-oriented training at their individualized intensity without any adverse effects. Several improvements over time were found for all intervention groups, however the results suggest a superiority of task-oriented training at 100%. CLINICAL TRIAL REGISTRATION NUMBER ON CLINICALTRIALS.GOV: = NCT02688231.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Intensity; Multiple Sclerosis; Rehabilitation; Task-oriented; Technology-supported; Upper extremity

Mesh:

Year:  2019        PMID: 31255988     DOI: 10.1016/j.msard.2019.06.014

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  4 in total

1.  A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.

Authors:  Christoph M Kanzler; Mike D Rinderknecht; Anne Schwarz; Ilse Lamers; Cynthia Gagnon; Jeremia P O Held; Peter Feys; Andreas R Luft; Roger Gassert; Olivier Lambercy
Journal:  NPJ Digit Med       Date:  2020-05-29

Review 2.  Occupational Therapy Interventions in Adults with Multiple Sclerosis or Amyotrophic Lateral Sclerosis: A Scoping Review.

Authors:  Luis De-Bernardi-Ojuel; Laura Torres-Collado; Manuela García-de-la-Hera
Journal:  Int J Environ Res Public Health       Date:  2021-02-03       Impact factor: 3.390

3.  Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.

Authors:  Christoph M Kanzler; Ilse Lamers; Peter Feys; Roger Gassert; Olivier Lambercy
Journal:  Med Biol Eng Comput       Date:  2021-11-25       Impact factor: 2.602

4.  Efficacy of a technology-based client-centred training system in neurological rehabilitation: a randomised controlled trial.

Authors:  Els Knippenberg; Annick Timmermans; Jolijn Coolen; Katrien Neven; Peter Hallet; Jolien Lemmens; Annemie Spooren
Journal:  J Neuroeng Rehabil       Date:  2021-12-28       Impact factor: 4.262

  4 in total

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