Estimating the effect size of surgery to improve walking in children with cerebral palsy from retrospective observational clinical data.

ABSTRACT: Single-event multilevel surgery (SEMLS) is a standard treatment approach aimed at improving gait for patients with cerebral palsy, but the effect of this approach compared to natural progression without surgical intervention is unclear. In this study, we used retrospective patient history, physical exam, and three-dimensional gait analysis data from 2,333 limbs to build regression models estimating the effect of SEMLS on gait, while controlling for expected natural progression. Post-hoc classifications using the regression model results identified which limbs would exhibit gait within two standard deviations of typical gait at the follow-up visit with or without a SEMLS with 73% and 77% accuracy, respectively. Using these models, we found that, while surgery was expected to have a positive

SUBMITTER: Rajagopal A 

PROVIDER: S-EPMC6218552 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature