Validation of a modified version of the gross motor function measure in PPPR5D related neurodevelopmental disorder

Cara H Kanner1, David Uher2,3, Kyle Zreibe4

  • 1Department of Rehabilitation and Regenerative Medicine, Columbia University Irving Medical Center, 617 West 168th Street, New York, NY, 10032, USA. chy2112@cumc.columbia.edu.

PubMed
Abstract

Insights

The Gross Motor Function Measure (GMFM) effectively assesses motor function in individuals with PPP2R5D-related neurodevelopmental disorder. This validation supports its use in clinical trials for this rare genetic condition.

Area of Science:

  • Neuroscience
  • Genetics
  • Developmental Biology

Background:

  • PPP2R5D-related neurodevelopmental disorder is a rare genetic condition with varied motor impairments.
  • Understanding its natural history and motor manifestations is crucial for improved care and clinical trials.
  • Established outcome measures are needed to uniformly assess function in affected individuals.

Purpose of the Study:

  • To validate the Gross Motor Function Measure (GMFM) for children and adults with PPP2R5D-related neurodevelopmental disorder.
  • To better characterize the motor manifestations of this rare neurodevelopmental disorder.
  • To establish a reliable outcome measure for future clinical research.

Main Methods:

  • Evaluated 38 individuals with PPP2R5D pathogenic variants (age range 1-27 years).
  • Assessed motor function using GMFM-66, 6-minute walk test (6MWT), 10-meter walk run (10MWR), timed up and go (TUG), and revised upper limb module (RULM).
  • Utilized the Pediatric Disability Inventory Computer Adapted Test (PEDI-CAT) for caregiver-reported outcomes.

Main Results:

  • Median GMFM-66 score was 60.6.
  • Strong correlations were found between GMFM-66 and mobility measures (10MWR, TUG, 6MWT, RULM, PEDI-CAT).
  • GMFM-66 demonstrated concurrent and discriminant validity in this population.

Conclusions:

  • The GMFM is a valid tool for characterizing motor function in PPP2R5D-related neurodevelopmental disorder.
  • Its strong associations with other measures confirm its utility for assessing gross motor, upper limb, and ambulatory function.
  • Further research should explore GMFM's sensitivity to change and its potential in identifying sub-phenotypes for clinical trials.

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