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Validation of a model of gross motor function for children with cerebral palsy
R J Palisano1, S E Hanna, P L Rosenbaum
1Department of Rehabilitation Sciences, MCP Hahnemann University, Mail Stop 502, 245 N 15th St, Philadelphia, PA 19102-1192, USA. robert.j.palisano@drexel.edu
Insights
Gross Motor Function Classification System (GMFCS) levels predict gross motor function in children with cerebral palsy (CP). This classification is more accurate than age alone for evaluating functional abilities and intervention outcomes.
Area of Science:
- Pediatric Rehabilitation
- Neurology
- Developmental Pediatrics
Background:
- Gross motor function development in children with cerebral palsy (CP) lacks comprehensive documentation.
- Understanding functional progression is crucial for effective intervention and support.
Purpose of the Study:
- To develop and validate a model for gross motor function in children with CP.
- To create specific gross motor function curves for each of the 5 levels of the Gross Motor Function Classification System (GMFCS).
Main Methods:
- A stratified sample of 586 children with CP (aged 1-12 years) from Ontario, Canada, was analyzed.
- Children were classified using the GMFCS, and gross motor function was assessed with the Gross Motor Function Measure (GMFM).
- Four nonlinear models were evaluated to describe the relationship between age and GMFM scores.
Main Results:
- A model incorporating GMFCS-specific limit and rate parameters explained 83% of GMFM score variation.
- Predicted maximum GMFM scores varied significantly across GMFCS levels (Level I: 96.8 to Level V: 12.9).
- GMFCS level strongly correlated with GMFM scores (r=0.91), and logistic regression confirmed clinical meaningfulness of distinctions between levels.
Conclusions:
- GMFCS classification is a strong predictor of gross motor function in children with CP, outperforming age as a sole predictor.
- Comparing a child's function to peers of the same age and GMFCS level aids in decision-making and outcome interpretation for interventions.
Background And Purpose:
Development of gross motor function in children with cerebral palsy (CP) has not been documented. The purposes of this study were to examine a model of gross motor function in children with CP and to apply the model to construct gross motor function curves for each of the 5 levels of the Gross Motor Function Classification System (GMFCS).
Subjects:
A stratified sample of 586 children with CP, 1 to 12 years of age, who reside in Ontario, Canada, and are known to rehabilitation centers participated.
Methods:
Subjects were classified using the GMFCS, and gross motor function was measured with the Gross Motor Function Measure (GMFM). Four models were examined to construct curves that described the nonlinear relationship between age and gross motor function.
Results:
The model in which both the limit parameter (maximum GMFM score) and the rate parameter (rate at which the maximum GMFM score is approached) vary for each GMFCS level explained 83% of the variation in GMFM scores. The predicted maximum GMFM scores differed among the 5 curves (level I=96.8, level II=89.3, level III=61.3, level IV=36.1, and level V=12.9). The rate at which children at level II approached their maximum GMFM score was slower than the rates for levels I and III. The correlation between GMFCS levels and GMFM scores was (.91. Logistic regression, used to estimate the probability that children with CP are able to achieve gross motor milestones based on their GMFM total scores, suggests that distinctions between GMFCS levels are clinically meaningful.
Conclusion And Discussion:
Classification of children with CP based on functional abilities and limitations is predictive of gross motor function, whereas age alone is a poor predictor. Evaluation of gross motor function of children with CP by comparison with children of the same age and GMFCS level has implications for decision making and interpretation of intervention outcomes.