Recently, a comparison of estimated tobramycin exposure (AUC0-24) using Bayesian forecasting (BF) versus true exposure demonstrated accuracy in patients with cystic fibrosis. Theoretically, when using BF methods the predictive performance towards estimating an individual's exposure should improve with additional observations; however, there is limited applicable evidence against true exposure. We demonstrate that with additional data from previous dosing intervals, predicted performance to estimate exposure improves.
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