Literature DB >> 29437610

Optimization of a Meropenem-Tobramycin Combination Dosage Regimen against Hypermutable and Nonhypermutable Pseudomonas aeruginosa via Mechanism-Based Modeling and the Hollow-Fiber Infection Model.

Cornelia B Landersdorfer1,2, Vanessa E Rees3,2, Rajbharan Yadav3, Kate E Rogers3,2, Tae Hwan Kim4, Phillip J Bergen2, Soon-Ee Cheah3, John D Boyce5, Anton Y Peleg5,6, Antonio Oliver7, Beom Soo Shin4, Roger L Nation3, Jürgen B Bulitta8.   

Abstract

Hypermutable Pseudomonas aeruginosa strains are prevalent in patients with cystic fibrosis and rapidly become resistant to antibiotic monotherapies. Combination dosage regimens have not been optimized against such strains using mechanism-based modeling (MBM) and the hollow-fiber infection model (HFIM). The PAO1 wild-type strain and its isogenic hypermutable PAOΔmutS strain (MICmeropenem of 1.0 mg/liter and MICtobramycin of 0.5 mg/liter for both) were assessed using 96-h static-concentration time-kill studies (SCTK) and 10-day HFIM studies (inoculum, ∼108.4 CFU/ml). MBM of SCTK data were performed to predict expected HFIM outcomes. Regimens studied in the HFIM were meropenem at 1 g every 8 h (0.5-h infusion), meropenem at 3 g/day with continuous infusion, tobramycin at 10 mg/kg of body weight every 24 h (1-h infusion), and both combinations. Meropenem regimens delivered the same total daily dose. Time courses of total and less susceptible populations and MICs were determined. For the PAOΔmutS strain in the HFIM, all monotherapies resulted in rapid regrowth to >108.7 CFU/ml with near-complete replacement by less susceptible bacteria by day 3. Meropenem every 8 h with tobramycin caused >7-log10 bacterial killing followed by regrowth to >6 log10 CFU/ml by day 5 and high-level resistance (MICmeropenem, 32 mg/liter; MICtobramycin, 8 mg/liter). Continuous infusion of meropenem with tobramycin achieved >8-log10 bacterial killing without regrowth. For PAO1, meropenem monotherapies suppressed bacterial growth to <4 log10 over 7 to 9 days, with both combination regimens achieving near eradication. An MBM-optimized meropenem plus tobramycin regimen achieved synergistic killing and resistance suppression against a difficult-to-treat hypermutable P. aeruginosa strain. For the combination to be maximally effective, it was critical to achieve the optimal shape of the concentration-time profile for meropenem.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  Pseudomonas aeruginosa; combination therapy; dosage regimen; dynamic infection model

Mesh:

Substances:

Year:  2018        PMID: 29437610      PMCID: PMC5913933          DOI: 10.1128/AAC.02055-17

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


  63 in total

1.  Substantial Impact of Altered Pharmacokinetics in Critically Ill Patients on the Antibacterial Effects of Meropenem Evaluated via the Dynamic Hollow-Fiber Infection Model.

Authors:  Phillip J Bergen; Jürgen B Bulitta; Carl M J Kirkpatrick; Kate E Rogers; Megan J McGregor; Steven C Wallis; David L Paterson; Roger L Nation; Jeffrey Lipman; Jason A Roberts; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2017-04-24       Impact factor: 5.191

2.  Spontaneous mutators in bacteria: insights into pathways of mutagenesis and repair.

Authors:  J H Miller
Journal:  Annu Rev Microbiol       Date:  1996       Impact factor: 15.500

3.  Optimization of meropenem minimum concentration/MIC ratio to suppress in vitro resistance of Pseudomonas aeruginosa.

Authors:  Vincent H Tam; Amy N Schilling; Shadi Neshat; Keith Poole; David A Melnick; Elizabeth A Coyle
Journal:  Antimicrob Agents Chemother       Date:  2005-12       Impact factor: 5.191

4.  Pharmacokinetic-pharmacodynamic modeling of activity of ceftazidime during continuous and intermittent infusion.

Authors:  J W Mouton; A A Vinks; N C Punt
Journal:  Antimicrob Agents Chemother       Date:  1997-04       Impact factor: 5.191

5.  Is prolonged infusion of piperacillin/tazobactam and meropenem in critically ill patients associated with improved pharmacokinetic/pharmacodynamic and patient outcomes? An observation from the Defining Antibiotic Levels in Intensive care unit patients (DALI) cohort.

Authors:  Mohd H Abdul-Aziz; Jeffrey Lipman; Murat Akova; Matteo Bassetti; Jan J De Waele; George Dimopoulos; Joel Dulhunty; Kirsi-Maija Kaukonen; Despoina Koulenti; Claude Martin; Philippe Montravers; Jordi Rello; Andrew Rhodes; Therese Starr; Steven C Wallis; Jason A Roberts
Journal:  J Antimicrob Chemother       Date:  2015-10-03       Impact factor: 5.790

Review 6.  Antibiotic treatment of CF lung disease: from bench to bedside.

Authors:  Robert Bals; Dominique Hubert; Burkhard Tümmler
Journal:  J Cyst Fibros       Date:  2011-06       Impact factor: 5.482

7.  Suboptimal ciprofloxacin dosing as a potential cause of decreased Pseudomonas aeruginosa susceptibility in children with cystic fibrosis.

Authors:  Emmanuelle Guillot; Isabelle Sermet; Agnès Ferroni; Stéphanie Chhun; Gérard Pons; Jean-Ralph Zahar; Vincent Jullien
Journal:  Pharmacotherapy       Date:  2010-12       Impact factor: 4.705

8.  Emergence of antibiotic-resistant Pseudomonas aeruginosa: comparison of risks associated with different antipseudomonal agents.

Authors:  Y Carmeli; N Troillet; G M Eliopoulos; M H Samore
Journal:  Antimicrob Agents Chemother       Date:  1999-06       Impact factor: 5.191

9.  Resistance mechanisms of multiresistant Pseudomonas aeruginosa strains from Germany and correlation with hypermutation.

Authors:  B Henrichfreise; I Wiegand; W Pfister; B Wiedemann
Journal:  Antimicrob Agents Chemother       Date:  2007-09-17       Impact factor: 5.191

10.  Pseudomonas aeruginosa: resistance to the max.

Authors:  Keith Poole
Journal:  Front Microbiol       Date:  2011-04-05       Impact factor: 5.640

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  14 in total

1.  Synergistic Meropenem-Tobramycin Combination Dosage Regimens against Clinical Hypermutable Pseudomonas aeruginosa at Simulated Epithelial Lining Fluid Concentrations in a Dynamic Biofilm Model.

Authors:  Hajira Bilal; Phillip J Bergen; Tae Hwan Kim; Seung Eun Chung; Anton Y Peleg; Antonio Oliver; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2019-10-22       Impact factor: 5.191

2.  Meropenem-Tobramycin Combination Regimens Combat Carbapenem-Resistant Pseudomonas aeruginosa in the Hollow-Fiber Infection Model Simulating Augmented Renal Clearance in Critically Ill Patients.

Authors:  Rajbharan Yadav; Phillip J Bergen; Kate E Rogers; Carl M J Kirkpatrick; Steven C Wallis; Yuling Huang; Jürgen B Bulitta; David L Paterson; Jeffrey Lipman; Roger L Nation; Jason A Roberts; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2019-12-20       Impact factor: 5.191

Review 3.  Pharmacodynamic Drug-Drug Interactions.

Authors:  Jin Niu; Robert M Straubinger; Donald E Mager
Journal:  Clin Pharmacol Ther       Date:  2019-04-26       Impact factor: 6.875

4.  Penicillin G concentrations required for prophylaxis against Group A Streptococcus infection evaluated using a hollow fibre model and mathematical modelling.

Authors:  Jessica R Tait; Timothy C Barnett; Kate E Rogers; Wee Leng Lee; Madhu Page-Sharp; Laurens Manning; Ben J Boyd; Jonathan R Carapetis; Roger L Nation; Cornelia B Landersdorfer
Journal:  J Antimicrob Chemother       Date:  2022-06-29       Impact factor: 5.758

Review 5.  Four Decades of β-Lactam Antibiotic Pharmacokinetics in Cystic Fibrosis.

Authors:  Jürgen B Bulitta; Yuanyuan Jiao; Stefanie K Drescher; Antonio Oliver; Arnold Louie; Bartolome Moya; Xun Tao; Mathias Wittau; Brian T Tsuji; Alexandre P Zavascki; Beom Soo Shin; George L Drusano; Fritz Sörgel; Cornelia B Landersdorfer
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

6.  Meropenem Combined with Ciprofloxacin Combats Hypermutable Pseudomonas aeruginosa from Respiratory Infections of Cystic Fibrosis Patients.

Authors:  Vanessa E Rees; Rajbharan Yadav; Kate E Rogers; Jürgen B Bulitta; Veronika Wirth; Antonio Oliver; John D Boyce; Anton Y Peleg; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2018-10-24       Impact factor: 5.191

7.  Sequential Time-Kill, a Simple Experimental Trick To Discriminate between Pharmacokinetics/Pharmacodynamics Models with Distinct Heterogeneous Subpopulations versus Homogenous Population with Adaptive Resistance.

Authors:  A Chauzy; H Ih; M Jacobs; S Marchand; N Grégoire; W Couet; J M Buyck
Journal:  Antimicrob Agents Chemother       Date:  2020-07-22       Impact factor: 5.191

8.  Clinically Relevant Epithelial Lining Fluid Concentrations of Meropenem with Ciprofloxacin Provide Synergistic Killing and Resistance Suppression of Hypermutable Pseudomonas aeruginosa in a Dynamic Biofilm Model.

Authors:  Hajira Bilal; Phillip J Bergen; Jessica R Tait; Steven C Wallis; Anton Y Peleg; Jason A Roberts; Antonio Oliver; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2020-06-23       Impact factor: 5.191

9.  Simulated Intravenous versus Inhaled Tobramycin with or without Intravenous Ceftazidime Evaluated against Hypermutable Pseudomonas aeruginosa via a Dynamic Biofilm Model and Mechanism-Based Modeling.

Authors:  Hajira Bilal; Jessica R Tait; Yinzhi Lang; Jieqiang Zhou; Phillip J Bergen; Anton Y Peleg; Jürgen B Bulitta; Antonio Oliver; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2022-01-18       Impact factor: 5.938

Review 10.  Generating Robust and Informative Nonclinical In Vitro and In Vivo Bacterial Infection Model Efficacy Data To Support Translation to Humans.

Authors:  Jürgen B Bulitta; William W Hope; Ann E Eakin; Tina Guina; Vincent H Tam; Arnold Louie; George L Drusano; Jennifer L Hoover
Journal:  Antimicrob Agents Chemother       Date:  2019-04-25       Impact factor: 5.191

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