Outcome assessments in children with cerebral palsy, part II: discriminatory ability of outcome tools

Anita M Bagley1, George Gorton, Donna Oeffinger

  • 1Shriners Hospital for Children, Northern California Motion Analysis Laboratory, Sacramento, CA 95817, USA. abagley@shrinenet.org

Insights

The Gross Motor Function Measure (GMFM) and WeeFIM Mobility best differentiate cerebral palsy severity across Gross Motor Function Classification System (GMFCS) levels I-III. Other tools show varying discrimination, with QoL and cognition measures being least discriminatory but still vital.

Area of Science:

  • Pediatric rehabilitation
  • Clinical assessment tools
  • Cerebral palsy research

Background:

  • Cerebral palsy (CP) classification systems are crucial for understanding functional abilities.
  • Assessing the discriminatory power of various outcome measures relative to the Gross Motor Function Classification System (GMFCS) is essential for accurate patient stratification.
  • Pediatric outcome tools need validation for their ability to detect differences across functional levels in children with CP.

Purpose of the Study:

  • To evaluate the discriminatory ability of multiple pediatric outcome tools across Gross Motor Function Classification System (GMFCS) levels in patients with cerebral palsy (CP).
  • To identify the most sensitive and specific measures for distinguishing between different GMFCS levels (I to III) in a pediatric CP population.
  • To compare the effectiveness of various functional and quality-of-life measures in reflecting motor function severity in CP.

Main Methods:

  • A prospective, multicenter, cross-sectional study involving 562 pediatric patients with CP (GMFCS Levels I-III).
  • Data collection included parent and participant completion of various outcome tools, alongside objective measures like gait velocity and cadence.
  • Statistical analyses employed effect size indices (ESIs) and odds ratios for discrimination, with logistic regression and ROC curves for sensitivity and specificity.

Main Results:

  • The Gross Motor Function Measure (GMFM-66) and WeeFIM Mobility demonstrated strong discrimination between GMFCS Levels I and II.
  • Between GMFCS Levels II and III, GMFM Dimension E, WeeFIM Self-Care and Mobility, and Gillette Functional Assessment Questionnaire Question 1 showed significant discriminatory power.
  • Pediatric Outcomes Data Collection Instrument (PODCI) measures (Sports & Physical Function, Global Function) exhibited large ESIs across all GMFCS level comparisons.

Conclusions:

  • The GMFM and WeeFIM are highly effective in discriminating functional levels in pediatric CP patients across GMFCS I-III.
  • While QoL and cognition measures showed less discrimination, they remain important for a holistic assessment of treatment impact.
  • Specific subscales of the PODCI also offer valuable discriminatory information for assessing functional status in CP.

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