Quantifying altered oxygen kinetics and reducing metabolic test times for children with cerebral palsy: a dual-exponential Bayesian modeling approach

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Abstract
We used a Bayesian model to study oxygen kinetics in children with CP. First, we quantified the oxygen kinetics time constant, finding no significant differences across GMFCS, sex, or age despite slower kinetics compared with typically developing peers. Next, we validated the model’s ability to estimate steady-state V̇o2 with only 3 min of data, halving the usual testing time. This method has important implications for faster, accurate metabolic analyses in clinical and research settings.
Funding Information
  • Canadian Government | Natural Sciences and Engineering Research Council of Canada (Canadian Graduate Scholarship (Master's))
  • HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (R21HD104112)

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