Puntuación del Perfil de la Marcha en Niños con Parálisis Cerebral

Instrumented three dimensional gait analysis (3DGA) permits to record spatial, temporal, kinetics, kinematics and electromyographic (EMG) parameters in order to understand gait impairment in children and teenagers with cerebral palsy (CP). Nowadays, single-event multilevel surgery in subjects with CP cannot be performed without 3DGA. However, interpretation of multiple and interdependent data remains complex for the clinician. To address this issue, gait statistical index have been developed to give a single measure of the quality of the gait pattern. Among actual index, the Gait Profile Score (GPS), developed by Baker et al (2009), measure the deviation of kinematics parameters from a controlled dataset. The GPS can be divided in nine Gait Variable Score (GVS), corresponding to major lower limb joints: the MAP (Movement Analysis Profile). Many studies have reported the interest of the GPS to analysis gait of subjects with CP: good inter-session reliability, predictor of postoperative kinematic improvement, minimal clinical threshold calculated at 1.6°, significant relationship with clinical data (joint contractures), and sensibility to change after a single-event multilevel surgery.