Demonstrating the utility of Instrumented Gait Analysis in the treatment of children with cerebral palsy.

ABSTRACT:

Background

Instrumented gait analysis (IGA) has been around for a long time but has never been shown to be useful for improving patient outcomes. In this study we demonstrate the potential utility of IGA by showing that machine learning models are better able to estimate treatment outcomes when they include both IGA and clinical (CLI) features compared to when they include CLI features alone.

Design

We carried out a retrospective analysis of data from ambulatory children diagnosed with cerebral palsy who were seen at least twice at our gait analysis center. Individuals underwent a variety of treatments (including no treatment) between sequential gait analyses. We fit Bayesian Additive Regression Tree (BART) models that estimated outcomes for mean stance foot progression to d

SUBMITTER: Schwartz MH 

PROVIDER: S-EPMC11003627 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature