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Optimal Sampling Strategies for Tobramycin Dosing

Sampling times may influence the determined pharmacokinetic parameters and hence may impact and blur dosing decisions. Gao et al investigated the predictive performance of commonly used log-linear regression and Bayesian Forecasting using the TDMx Software employing different sampling designs. Log-linear regression was highly susceptible to the chosen sampling designs for estimation of the 24 h AUC, while the impact of blood sampling times on dosing decisions was reduced when using Bayesian forecasting in TDMx. Highest precision of 24 h AUC estimation was obtained when sampling at 70/160 min after dosing in the Bayesian forecasting setting.

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