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Empirical models for dosage optimization of four sz-lactams in critically ill septic patients based on therapeutic drug monitoring of amikacin

Isabelle K IK Delattre, Flora T FT Musuamba, Roger K RK Verbeeck, Thierry T Dugernier, Herbert H Spapen, Pierre-François PF Laterre, Xavier X Wittebole, Jean J Cumps, Fabio S FS Taccone, Jean-Louis JL Vincent, Frédérique F Jacobs, and Pierre E PE Wallemacq

Clin Biochem 43(6):10 (2010) PMID 20036226

Objectives: The study aims to develop empirical models able to predict the pharmacokinetics (PK) of four @b-lactams using the amikacin (AMK) therapeutic drug monitoring (TDM), in order to optimize their dosage regimens. Design and methods: 69 critically ill septic patients were included. All received a first dose of AMK combined with piperacillin/tazobactam, ceftazidime, cefepime or meropenem. A multivariate analysis was performed to predict the @b-lactam PK using AMK PK parameters estimated from TDM and using pathophysiological variables. Results: An optimal prediction model was identified for each PK parameter of each @b-lactam. The best predictor of each model was one of the AMK PK parameters estimated from TDM. Other variables included colloid solution, renal and hepatic biomarkers, age and body weight. Conclusion: PK of the four @b-lactams could be easily and rapidly predicted in critically ill septic patients using the AMK TDM. These predictions could improve the @b-lactam dosages in clinical practice.

Copyright © 2010 Elsevier Ltd. All rights reserved.

DOI: 10.1016/j.clinbiochem.2009.12.007
Version: za2963e q8za0 q8zbd q8zcf q8zda q8ze6 q8zfa q8zg3

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