Progression events defined by home-based assessment of motor function in multiple sclerosis: protocol of a

Eva-Maria Dorsch1,2,3,4,5, Hanna Marie Röhling1,2,3,6, Dario Zocholl7

  • 1Experimental and Clinical Research Center, a Cooperation between the Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association and the Charité-Universitätsmedizin Berlin, Berlin, Germany.

Frontiers in Neurology
|October 26, 2023
PubMed
Abstract

Insights

This study introduces a new way to measure multiple sclerosis (MS) disability progression using home-based motor assessments. This digital approach may shorten clinical trials and improve detection of MS progression.

Area of Science:

  • Neurology
  • Biomedical Engineering
  • Clinical Trial Design

Background:

  • Current multiple sclerosis (MS) disability progression assessments have limitations.
  • Gait and balance impairments are highly relevant in MS.
  • Novel trial designs are needed to evaluate interventions effectively.

Purpose of the Study:

  • To explore a novel definition of MS disease progression.
  • To utilize repeated, instrumental, home-based motor function assessments.
  • To overcome limitations of traditional rater-based clinical assessments.

Main Methods:

  • Prospective, single-center observational cohort study.
  • Home-based motor function assessment using RGB-Depth cameras.
  • Twice-daily recording of motor tasks over 24 months, supplemented by questionnaires and clinical visits.

Main Results:

  • The study design compares home-based digital motor outcomes with traditional Expanded Disability Status Scale (EDSS) progression.
  • Exploration of motor parameter changes and novel definition performance against alternative progression definitions.
  • Data collection includes clinical ratings, imaging (MRI, OCT), and neurologist-provided clinical data.

Conclusions:

  • A valid digital motor outcome for MS progression could reduce clinical trial observation times.
  • Home-based assessments offer a patient-centric approach to monitoring MS.
  • This method may increase confidence in detecting progression events in MS.

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