The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability

Nicholas G LaRocca1, Lynn D Hudson2, Richard Rudick3

  • 1National Multiple Sclerosis Society, New York, NY, USA.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|August 12, 2017
PubMed
Abstract

Insights

The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) developed standardized methods to measure multiple sclerosis (MS) disability. This effort aims to improve clinical trial outcomes and regulatory qualification of new MS disability measures.

Area of Science:

  • Neurology
  • Clinical Trials
  • Biostatistics

Background:

  • The National Multiple Sclerosis Society established the Multiple Sclerosis Outcome Assessments Consortium (MSOAC).
  • MSOAC aims to create superior methods for assessing multiple sclerosis (MS)-related disability.
  • Focus is on developing and validating functional performance outcome measures (PerfOs).

Purpose of the Study:

  • To review existing literature and data on functional performance outcome measures (PerfOs).
  • To evaluate the suitability of PerfOs for quantifying MS disability in clinical trials.
  • To support the qualification of MS disability endpoints by regulatory agencies.

Main Methods:

  • Identification of common MS disability dimensions.
  • Comprehensive literature review of relevant outcome measures.
  • Development of a Clinical Data Interchange Standards Consortium (CDISC) data standard for MS.
  • Creation of a standardized, pooled clinical trial data database.
  • Analysis of pooled data to assess psychometric properties of candidate measures.
  • Collaboration with regulatory agencies for endpoint qualification.

Main Results:

  • Established evidence supports measures for ambulation, manual dexterity, vision, and cognition.
  • A CDISC standard for MS has been published, facilitating data pooling.
  • Clinical data from 16 trials, encompassing 14,370 subjects, were contributed by MSOAC members.
  • Pooled data from placebo arms are accessible to qualified researchers.
  • The integrated dataset is undergoing analysis to support regulatory qualification of disability endpoints.

Conclusions:

  • Existing data support the use of specific functional domains for MS disability assessment.
  • The developed CDISC standard enables effective data pooling for MS clinical trials.
  • The ongoing analysis of pooled data is crucial for the regulatory qualification of novel MS disability endpoints.

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