Model-informed precision dosing of teicoplanin for the rapid achievement of the target area under the concentration-time curve: A simulation study.

ABSTRACT: Teicoplanin, a glycopeptide antimicrobial, is recommended for therapeutic drug monitoring, but it remains unclear how to target the area under the concentration-time curve (AUC). This simulation study purposed to demonstrate the potential of the Bayesian forecasting approach for the rapid achievement of the target AUC for teicoplanin. We generated concordant and discordant virtual populations against a Japanese population pharmacokinetic model. The predictive performance of the Bayesian posterior AUC in limited sampling on the first day against the reference AUC was evaluated as an acceptable target AUC ratio within the range of 0.8-1.2. In the concordant population, the probability for the maximum a priori or Bayesian posterior AUC on the first day (AUC_0-24 ) was 61.3% or more

SUBMITTER: Oda K 

PROVIDER: S-EPMC10087075 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature