Variation in kinematic and spatiotemporal gait parameters by Gross Motor Function Classification System level in

Sylvia Õunpuu1, George Gorton2, Anita Bagley3

  • 1Center for Motion Analysis, Division of Orthopaedics, Connecticut Children's Medical Center, Farmington, CT, USA.

Insights

Gait patterns in children with bilateral spastic cerebral palsy (BSCP) vary by Gross Motor Function Classification System (GMFCS) level. However, specific gait kinematics cannot reliably identify GMFCS levels in individuals with BSCP.

Area of Science:

  • Biomechanics
  • Pediatric Neurology
  • Movement Science

Background:

  • Bilateral spastic cerebral palsy (BSCP) affects motor function in children and adolescents.
  • Gait analysis is crucial for understanding motor impairments in BSCP.
  • The Gross Motor Function Classification System (GMFCS) categorizes functional motor abilities.

Purpose of the Study:

  • To investigate differences in gait kinematics and spatiotemporal parameters in ambulatory children and adolescents with BSCP across GMFCS levels I-III.
  • To compare gait patterns of individuals with BSCP to a typically developing cohort.

Main Methods:

  • Retrospective review of 3D gait analysis (3DGA) data from 292 children and adolescents with BSCP.
  • Data stratified by GMFCS levels (I-III) and compared to a typically developing group.
  • Analysis of kinematic and spatiotemporal gait parameters.

Main Results:

  • Gait patterns in all GMFCS levels of BSCP differed from typically developing individuals.
  • Increased GMFCS levels correlated with greater deviations in 21 out of 28 gait parameters.
  • Significant differences in parameters like initial contact knee angle were observed, but substantial overlap existed among GMFCS levels.

Conclusions:

  • GMFCS levels are not reliably identifiable through specific gait kinematics alone.
  • Comprehensive 3DGA is essential for guiding treatment decisions in BSCP by measuring individual joint-level gait impairments.
Abstract

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