Gross Motor Function Classification System and outcome tools for assessing ambulatory cerebral palsy: a multicenter

D J Oeffinger1, C M Tylkowski, M K Rayens

  • 1Shriners Hospitals for Children, Lexington, KY, USA. doeffinger@shrinenet.org

Insights

The Gross Motor Function Classification System (GMFCS) effectively differentiates ambulatory cerebral palsy severity. Specific measures like the Gross Motor Function Measure (GMFM) accurately predict a child's GMFCS level.

Area of Science:

  • Pediatric Rehabilitation
  • Neurology
  • Biomedical Engineering

Background:

  • Ambulatory cerebral palsy (CP) severity varies widely.
  • Standardized classification is crucial for research and clinical practice.
  • The Gross Motor Function Classification System (GMFCS) is a widely used severity scale.

Purpose of the Study:

  • To examine the relationship between GMFCS levels and various pediatric outcome instruments.
  • To determine the predictive accuracy of specific outcome measures for GMFCS levels.
  • To validate the utility of GMFCS in clinical studies.

Main Methods:

  • Data collected from six sites on GMFCS levels I, II, and III.
  • Utilized Gross Motor Function Measure (GMFM), Pediatric Orthopaedic Data Collection Instrument (PODCI), gait parameters, and oxygen cost.
  • Sample sizes ranged from 226 to 1047 participants for different assessments.

Main Results:

  • Significant differences were found among GMFCS levels I, II, and III across multiple outcome tools.
  • Strong correlations observed between GMFCS levels and GMFM sections D & E, PODCI measures, gait velocity, and oxygen cost.
  • GMFM section E score accurately predicted GMFCS level (76.6% accuracy).

Conclusions:

  • Assessed outcome tools effectively distinguish between children with different GMFCS levels.
  • GMFM section E score is a significant predictor of GMFCS level.
  • The GMFCS is justified as a classification system for clinical studies involving ambulatory CP.

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