Logistic regression analyses for predicting clinically important differences in motor capacity, motor performance, and functional independence after constraint-induced therapy in children with cerebral palsy.

Given the growing evidence for the effects of constraint-induced therapy (CIT) in children with cerebral palsy (CP), there is a need for investigating the characteristics of potential participants who may benefit most from this intervention. This study aimed to establish predictive models for the effects of pediatric CIT on motor and functional outcomes. Therapists administered CIT to 49 children (aged 3-11 years) with CP. Sessions were 1-3.5h a day, twice a week, for 3-4 weeks. Parents were asked to document the number of restraint hours outside of the therapy sessions. Domains of treatment outcomes included motor capacity (measured by the Peabody Developmental Motor Scales II), motor performance (measured by the Pediatric Motor Activity Log), and functional independence (measured by the Pediatric Functional Independence Measure). Potential predictors included age, affected side, compliance (measured by time of restraint), and the initial level of motor impairment severity. Tests were administered before, immediately after, and 3 months after the intervention. Logistic regression analyses showed that total amount of restraint time was the only significant predictor for improved motor capacity immediately after CIT. Younger children who restrained the less affected arm for a longer time had a greater chance to achieve clinically significant improvements in motor performance. For outcomes of functional independence in daily life, younger age was associated with clinically meaningful improvement in the self-care domain. Baseline motor abilities were significantly predictive of better improvement in mobility and cognition. Significant predictors varied according to the aspects of motor outcomes after 3 months of follow-up. The potential predictors identified in this study allow clinicians to target those children who may benefit most from CIT.
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