Literature DB >> 32660986

Pharmacodynamic Evaluation of Plasma and Epithelial Lining Fluid Exposures of Amikacin against Pseudomonas aeruginosa in a Dynamic In Vitro Hollow-Fiber Infection Model.

Aaron J Heffernan1,2, Fekade B Sime2,3, Derek S Sarovich4, Michael Neely5, Yarmarly Guerra-Valero3, Saiyuri Naicker2,3, Kyra Cottrell3, Patrick Harris3,6, Katherine T Andrews7, David Ellwood8,9, Steven C Wallis3, Jeffrey Lipman3,10,11, Keith Grimwood8,12, Jason A Roberts2,3,10,11.   

Abstract

Given that aminoglycosides, such as amikacin, may be used for multidrug-resistant Pseudomonas aeruginosa infections, optimization of therapy is paramount for improved treatment outcomes. This study aims to investigate the pharmacodynamics of different simulated intravenous amikacin doses on susceptible P. aeruginosa to inform ventilator-associated pneumonia (VAP) and sepsis treatment choices. A hollow-fiber infection model with two P. aeruginosa isolates (MICs of 2 and 8 mg/liter) with an initial inoculum of ∼108 CFU/ml was used to test different amikacin dosing regimens. Three regimens (15, 25, and 50 mg/kg) were tested to simulate a blood exposure, while a 30 mg/kg regimen simulated the epithelial lining fluid (ELF) for potential respiratory tract infection. Data were described using a semimechanistic pharmacokinetic/pharmacodynamic (PK/PD) model. Whole-genome sequencing was used to identify mutations associated with resistance emergence. While bacterial density was reduced by >6 logs within the first 12 h in simulated blood exposures following this initial bacterial kill, there was amplification of a resistant subpopulation with ribosomal mutations that were likely mediating amikacin resistance. No appreciable bacterial killing occurred with subsequent doses. There was less (<5 log) bacterial killing in the simulated ELF exposure for either isolate tested. Simulation studies suggested that a dose of 30 and 50 mg/kg may provide maximal bacterial killing for bloodstream and VAP infections, respectively. Our results suggest that amikacin efficacy may be improved with the use of high-dose therapy to rapidly eliminate susceptible bacteria. Subsequent doses may have reduced efficacy given the rapid amplification of less-susceptible bacterial subpopulations with amikacin monotherapy.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  Pseudomonas aeruginosa; amikacin; pharmacodynamics; ventilator-associated pneumonia

Mesh:

Substances:

Year:  2020        PMID: 32660986      PMCID: PMC7449155          DOI: 10.1128/AAC.00879-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  42 in total

1.  Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R.

Authors:  Michael N Neely; Michael G van Guilder; Walter M Yamada; Alan Schumitzky; Roger W Jelliffe
Journal:  Ther Drug Monit       Date:  2012-08       Impact factor: 3.681

Review 2.  Blood culture-based diagnosis of bacteraemia: state of the art.

Authors:  O Opota; A Croxatto; G Prod'hom; G Greub
Journal:  Clin Microbiol Infect       Date:  2015-01-16       Impact factor: 8.067

3.  Standard dosing of amikacin and gentamicin in critically ill patients results in variable and subtherapeutic concentrations.

Authors:  Claire Roger; Bastian Nucci; Nicolas Molinari; Sophie Bastide; Gilbert Saissi; Gael Pradel; Saber Barbar; Clément Aubert; Sophie Lloret; Loubna Elotmani; Anne Polge; Jean-Yves Lefrant; Jason A Roberts; Laurent Muller
Journal:  Int J Antimicrob Agents       Date:  2015-03-19       Impact factor: 5.283

4.  Optimizing aminoglycoside therapy for nosocomial pneumonia caused by gram-negative bacteria.

Authors:  A D Kashuba; A N Nafziger; G L Drusano; J S Bertino
Journal:  Antimicrob Agents Chemother       Date:  1999-03       Impact factor: 5.191

5.  Penetration of gentamicin into the alveolar lining fluid of critically ill patients with ventilator-associated pneumonia.

Authors:  Dimitris Panidis; Sophia L Markantonis; Eleni Boutzouka; Stylianos Karatzas; George Baltopoulos
Journal:  Chest       Date:  2005-08       Impact factor: 9.410

6.  Dynamics of Mutations during Development of Resistance by Pseudomonas aeruginosa against Five Antibiotics.

Authors:  Yanfang Feng; Martijs J Jonker; Ioannis Moustakas; Stanley Brul; Benno H Ter Kuile
Journal:  Antimicrob Agents Chemother       Date:  2016-06-20       Impact factor: 5.191

7.  Clinical outcomes of Pseudomonas aeruginosa pneumonia in intensive care unit patients.

Authors:  Mario Tumbarello; Gennaro De Pascale; Enrico Maria Trecarichi; Teresa Spanu; Federica Antonicelli; Riccardo Maviglia; Mariano Alberto Pennisi; Giuseppe Bello; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2013-02-01       Impact factor: 17.440

8.  Selection of a moxifloxacin dose that suppresses drug resistance in Mycobacterium tuberculosis, by use of an in vitro pharmacodynamic infection model and mathematical modeling.

Authors:  Tawanda Gumbo; Arnold Louie; Mark R Deziel; Linda M Parsons; Max Salfinger; George L Drusano
Journal:  J Infect Dis       Date:  2004-09-24       Impact factor: 5.226

9.  Antimicrobial susceptibility of Gram-negative organisms isolated from patients hospitalized in intensive care units in United States and European hospitals (2009-2011).

Authors:  Helio S Sader; David J Farrell; Robert K Flamm; Ronald N Jones
Journal:  Diagn Microbiol Infect Dis       Date:  2013-12-06       Impact factor: 2.803

10.  Reliability of mini-bronchoalveolar lavage for the measurement of epithelial lining fluid concentrations of tobramycin in critically ill patients.

Authors:  Emmanuel Boselli; Dominique Breilh; Sarah Djabarouti; Christian Guillaume; Thomas Rimmelé; Jean-Baptiste Gordien; Fabien Xuereb; Marie-Claude Saux; Bernard Allaouchiche
Journal:  Intensive Care Med       Date:  2007-05-25       Impact factor: 17.440

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  2 in total

1.  Pharmacodynamics of Piperacillin-Tazobactam/Amikacin Combination versus Meropenem against Extended-Spectrum β-Lactamase-Producing Escherichia coli in a Hollow Fiber Infection Model.

Authors:  Kamrul Islam; Fekade B Sime; Steven C Wallis; Michelle J Bauer; Saiyuri Naicker; Hayoung Won; Hosam M Zowawi; Md Abu Choudhury; Tahmina Shirin; Zakir H Habib; Patrick N A Harris; Meerjady S Flora; Jason A Roberts
Journal:  Antimicrob Agents Chemother       Date:  2022-08-04       Impact factor: 5.938

Review 2.  The Application of Hollow Fiber Cartridge in Biomedicine.

Authors:  Yixuan Hou; Kun Mi; Lei Sun; Kaixiang Zhou; Lei Wang; Lan Zhang; Zhenli Liu; Lingli Huang
Journal:  Pharmaceutics       Date:  2022-07-18       Impact factor: 6.525

  2 in total

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