Population pharmacokinetics of four β-lactams in critically ill septic patients comedicated with amikacin

被引:29
|
作者
Delattre, Isabelle K. [2 ]
Musuamba, Flora T. [2 ]
Jacqmin, Philippe [3 ]
Taccone, Fabio S. [4 ]
Laterre, Pierre-Francois [5 ]
Verbeeck, Roger K. [2 ]
Jacobs, Frederique [4 ]
Wallemacq, Pierre [1 ]
机构
[1] Catholic Univ Louvain, Clin Univ St Luc, Louvain Ctr Toxicol & Appl Pharmacol, B-1200 Brussels, Belgium
[2] Catholic Univ Louvain, Louvain Drug Res Inst, B-1200 Brussels, Belgium
[3] Exprimo NV, Mechelen, Belgium
[4] Univ Libre Bruxelles, Hop Erasme, Dept Infect Dis, Brussels, Belgium
[5] Clin Univ St Luc, Intens Care Unit, B-1200 Brussels, Belgium
关键词
Severe sepsis; beta-lactams; Population pharmacokinetics; Therapeutic drug monitoring; INADEQUATE ANTIMICROBIAL TREATMENT; OPTIMAL SAMPLING STRATEGY; SEVERE SEPSIS; AMINOGLYCOSIDE CLEARANCE; ANTIBIOTIC-TREATMENT; BAYESIAN-ESTIMATION; THERAPY; INFECTIONS; MODEL; EXPERIENCE;
D O I
10.1016/j.clinbiochem.2012.03.030
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Objectives: The study aimed to characterize the pharmacokinetics (PK) of four beta-lactams (piperacillin, ceftazidime, cefepime, and meropenem) in patients comedicated with amikacin (AMK), and to confirm the predictive performance of AMK data, obtained from therapeutic drug monitoring (TDM), on these PK, using a population modeling approach. Design and methods: Serum samples were collected in 88 critically ill septic patients. For each beta-lactam, the covariate model was optimized using renal function. Furthermore, predictive performance of AMK concentrations and PK parameters was assessed on beta-lactam PK. Results: A two-compartment model with first-order elimination best fitted the beta-lactam data. Results supported the superiority of AMK concentrations, over renal function and AMK PK parameters, to assess the beta-lactam PK. Conclusion: The study confirmed the significant link between the exposure to AMK and to beta-lactams, and presented population models able to guide beta-lactam dosage adjustments using renal biomarkers or TDM-related aminoglycoside data. (C) 2012 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:780 / 786
页数:7
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