The Multiple Sclerosis Functional Composite and Symbol Digit Modalities Test as outcome measures in pediatric

J Nicholas Brenton1, Hitoshi Koshiya2, Emma Woolbright3

  • 1Department of Neurology, Division of Pediatric Neurology, University of Virginia, Charlottesville, VA USA.

Insights

Pediatric multiple sclerosis (MS) patients show functional deficits in mobility and processing speed, even with low Expanded Disability Status Scale (EDSS) scores. The MS Functional Composite (MSFC) and Symbol Digit Modalities Test (SDMT) effectively identify these impairments.

Area of Science:

  • Neurology
  • Pediatric neurology
  • Clinical trials

Background:

  • Limited data exist on outcome metrics for pediatric multiple sclerosis (MS) cohorts.
  • Increasing numbers of pediatric MS clinical trials necessitate validated functional assessment tools.

Purpose of the Study:

  • To evaluate the MS Functional Composite (MSFC) and Symbol Digit Modalities Test (SDMT) for distinguishing functional disability in pediatric MS.
  • To assess the utility of MSFC and SDMT in pediatric MS patients.

Main Methods:

  • 20 pediatric MS patients and 40 age/sex-matched controls completed the SDMT and MSFC (including timed 25-foot walk, 9-hole peg test, and paced auditory serial addition test).
  • Z scores were calculated for MS patients based on control means.
  • Expanded Disability Status Scale (EDSS) was used for disability assessment.

Main Results:

  • Pediatric MS patients had low EDSS scores (median [range]: 1.5 [1.0-3.0]).
  • MS patients performed significantly worse than controls on SDMT (p=0.0002) and all MSFC components (p<0.01).
  • SDMT and MSFC scores did not correlate with EDSS scores.

Conclusions:

  • Pediatric MS patients demonstrate functional impairments in leg function, upper limb motor skills, and processing speed, despite low EDSS scores.
  • The MSFC and SDMT are valuable tools for assessing functional disability in pediatric MS.
  • Further longitudinal studies are recommended to confirm the utility of these measures.
Abstract

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