Gait patterns in patients with cerebral palsy according to their gross motor function
DOI:
https://doi.org/10.28957/rcmfr.v31n2a1Keywords:
Gait analysis, cerebral palsy, gait, neurological gait disorders, motor disorders.Abstract
Introduction. Cerebral palsy (CP) can cause complex neuromusculoskeletal disorders that affect the motor function, and as a consequence, the gait pattern.
Objective. To identify the gait patterns in pediatric patients with CP of spastic hemiparesis and spastic diparesis types, according to their gross motor involvement.
Materials and methods. Cross-sectional study conducted in 79 pediatric patients aged between 5 and 18 years, who were selected from the database of the Laboratory for Computerized Gait Analysis and treated between the years 2017 and 2019. The joint kinematics of each patient was used to classify the gait patterns according to the criteria of Rodda et al. and the Gross Motor Function Classification System (GMFCS) of Palisano.
Results. 30 patients were classified in the group of spastic hemiparesis and 49 in the group of spastic diparesis. 50% of the sample with spastic hemiparesis and 38.7% of those with spastic diparesis could not be classified using the gait patterns of Rodda et al. In the group of spastic hemiparesis, at the GMFCS I and GMFCS II levels, the gait pattern Type 1 prevailed (80%). In the group of spastic diparesis, the GMFCS I level did not show a prevalent pattern, in the GMFCS II level the apparent equinus pattern prevailed (66.7%), and in the GMFCS III level, the crouching gait pattern (37.5%) and the jump gait pattern (37.5%) prevailed in the same proportion.
Conclusion. The gait patterns of the patients who were analyzed varied at different levels of motor involvement and could not always be classified using the patterns of Rodda et al., which points to the existence of gait patterns that could correspond to new classification systems based on kinematic patterns.
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