The Gait Pattern Classification System for Children with Spastic Cerebral Palsy (GaP-CP)—A Validity Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: In order to classify the gait of children with spastic cerebral palsy (sCP), the "gait pattern classification system for children with sCP" (GaP-CP) has been developed, based on a systematic review and complemented by an additional class of "mild deviations". The objective of the current study was to examine the content and construct validity of the GaP-CP. METHODS: Statistical non-parametric comparisons identified the differences between the kinematics (N = 270) and kinetics (N = 208) of children with sCP and children with typically developing gait (N = 56) (content validity-aim 1), and between neighboring patterns (construct validity-aim 2a). Pattern-specific clinical phenotypes were explored based on the differences between all gait patterns (Kruskal-Wallis comparisons with post hoc Mann-Whitney U tests) in patient- and impairment-specific characteristics (construct validity-aim 2b). RESULTS: The apparent and true equinus were the most and least prevalent patterns, respectively. The majority of the original classification rules were confirmed by the patient data, indicating good content validity of the GaP-CP. Its construct validity was strengthened by distinguishing between gait deviations of neighboring patterns and differentiating between gait patterns based on patient-specific characteristics, leading to pattern-specific phenotypes. Yet, pattern-specific phenotypes could not be clearly defined based on the impairment-specific comparisons. CONCLUSIONS: The current results support the validity of the GaP-CP. Refined classification rules, using more precise terminology, establish a roadmap for its clinical implementation. The pattern-specific clinical phenotypes enable its use in a clinical context and may aid clinical decision-making.
Source: Children
Institutions: KU Leuven, Universitair Ziekenhuis Leuven
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,896
Awards: G1954588106, G2856967101, Improved understanding of gait compensations to explore new pathways of gait rehabilitation in growing children with Duchenne muscular dystrophy, Treatment of Gait disorders in Dravet syndrome, Model-based prediction of post-treatment walking patterns in cerebral palsy to support clinical decision making, G627919048, G6968814434, G8242461231, G8686604774
OpenAlex ID: W4407904923
