Literature DB >> 27231278

Effect of different renal function on antibacterial effects of piperacillin against Pseudomonas aeruginosa evaluated via the hollow-fibre infection model and mechanism-based modelling.

Phillip J Bergen1, Jürgen B Bulitta2, Carl M J Kirkpatrick1, Kate E Rogers3, Megan J McGregor1, Steven C Wallis4, David L Paterson5, Jeffrey Lipman6, Jason A Roberts7, Cornelia B Landersdorfer8.   

Abstract

BACKGROUND: Pathophysiological changes in critically ill patients can cause severely altered pharmacokinetics and widely varying antibiotic exposures. The impact of altered pharmacokinetics on bacterial killing and resistance has not been characterized in the dynamic hollow-fibre in vitro infection model (HFIM).
METHODS: A clinical Pseudomonas aeruginosa isolate (piperacillin MIC 4 mg/L) was studied in the HFIM (inoculum ∼10(7) cfu/mL). Pharmacokinetic profiles of three piperacillin dosing regimens (4 g 8-, 6- and 4-hourly, 30 min intravenous infusion) as observed in critically ill patients with augmented renal clearance (ARC), normal renal function or impaired renal function (creatinine clearances of 250, 110 or 30 mL/min, respectively) were simulated over 7 days. The time courses of total and less-susceptible populations and MICs were determined. Mechanism-based modelling was performed in S-ADAPT.
RESULTS: For all regimens with ARC and regimens with 8- or 6-hourly dosing with normal renal function, initial killing of ≤∼2 log10 was followed by regrowth to 10(8)-10(9) cfu/mL at 48 h. For 8- and 6-hourly dosing at normal renal function, the proportion of less-susceptible colonies increased ∼10-100-fold above those in ARC and control arms. Regimens achieving an fCmin of ≥5× MIC resulted in bacterial killing of 3-4 log10 without regrowth and suppressed less-susceptible populations to ≤∼2 log10. The mechanism-based model successfully quantified the time course of bacterial growth, killing and regrowth.
CONCLUSIONS: Only high piperacillin concentrations prevented regrowth of P. aeruginosa. Individualized dosing regimens that account for altered pharmacokinetics and aim for higher-than-standard antibiotic exposures to achieve an fCmin of ≥5× MIC were required to maximize bacterial killing and suppress emergence of resistance.
© The Author 2016. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2016        PMID: 27231278     DOI: 10.1093/jac/dkw153

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  18 in total

Review 1.  Prolonged Versus Intermittent Infusion of β-Lactam Antibiotics: A Systematic Review and Meta-Regression of Bacterial Killing in Preclinical Infection Models.

Authors:  Sofie Dhaese; Aaron Heffernan; David Liu; Mohd Hafiz Abdul-Aziz; Veronique Stove; Vincent H Tam; Jeffrey Lipman; Jason A Roberts; Jan J De Waele
Journal:  Clin Pharmacokinet       Date:  2020-10       Impact factor: 6.447

Review 2.  The role of infection models and PK/PD modelling for optimising care of critically ill patients with severe infections.

Authors:  T Tängdén; V Ramos Martín; T W Felton; E I Nielsen; S Marchand; R J Brüggemann; J B Bulitta; M Bassetti; U Theuretzbacher; B T Tsuji; D W Wareham; L E Friberg; J J De Waele; V H Tam; Jason A Roberts
Journal:  Intensive Care Med       Date:  2017-04-13       Impact factor: 17.440

3.  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

4.  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

Review 5.  What Antibiotic Exposures Are Required to Suppress the Emergence of Resistance for Gram-Negative Bacteria? A Systematic Review.

Authors:  Chandra Datta Sumi; Aaron J Heffernan; Jeffrey Lipman; Jason A Roberts; Fekade B Sime
Journal:  Clin Pharmacokinet       Date:  2019-11       Impact factor: 6.447

6.  In 2035, will all bacteria be multidrug-resistant? No.

Authors:  François Barbier; Jeffrey Lipman; Marc J M Bonten
Journal:  Intensive Care Med       Date:  2016-04-18       Impact factor: 17.440

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

Authors:  Cornelia B Landersdorfer; Vanessa E Rees; Rajbharan Yadav; Kate E Rogers; Tae Hwan Kim; Phillip J Bergen; Soon-Ee Cheah; John D Boyce; Anton Y Peleg; Antonio Oliver; Beom Soo Shin; Roger L Nation; Jürgen B Bulitta
Journal:  Antimicrob Agents Chemother       Date:  2018-03-27       Impact factor: 5.191

8.  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

9.  Optimization and Evaluation of Piperacillin-Tobramycin Combination Dosage Regimens against Pseudomonas aeruginosa for Patients with Altered Pharmacokinetics via the Hollow-Fiber Infection Model and Mechanism-Based Modeling.

Authors:  Rajbharan Yadav; Kate E Rogers; Phillip J Bergen; Jürgen B Bulitta; Carl M J Kirkpatrick; Steven C Wallis; David L Paterson; Roger L Nation; Jeffrey Lipman; Jason A Roberts; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2018-04-26       Impact factor: 5.191

Review 10.  Sepsis: frontiers in diagnosis, resuscitation and antibiotic therapy.

Authors:  Anders Perner; Anthony C Gordon; Daniel De Backer; George Dimopoulos; James A Russell; Jeffrey Lipman; Jens-Ulrik Jensen; John Myburgh; Mervyn Singer; Rinaldo Bellomo; Timothy Walsh
Journal:  Intensive Care Med       Date:  2016-10-01       Impact factor: 17.440

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