Literature DB >> 27821448

Optimization of Synergistic Combination Regimens against Carbapenem- and Aminoglycoside-Resistant Clinical Pseudomonas aeruginosa Isolates via Mechanism-Based Pharmacokinetic/Pharmacodynamic Modeling.

Rajbharan Yadav1, Jürgen B Bulitta2, Roger L Nation1, Cornelia B Landersdorfer3,4,5.   

Abstract

Optimizing antibiotic combinations is promising to combat multidrug-resistant Pseudomonas aeruginosa This study aimed to systematically evaluate synergistic bacterial killing and prevention of resistance by carbapenem and aminoglycoside combinations and to rationally optimize combination dosage regimens via a mechanism-based mathematical model (MBM). We studied monotherapies and combinations of imipenem with tobramycin or amikacin against three difficult-to-treat double-resistant clinical P. aeruginosa isolates. Viable-count profiles of total and resistant populations were quantified in 48-h static-concentration time-kill studies (inoculum, 107.5 CFU/ml). We rationally optimized combination dosage regimens via MBM and Monte Carlo simulations against isolate FADDI-PA088 (MIC of imipenem [MICimipenem] of 16 mg/liter and MICtobramycin of 32 mg/liter, i.e., both 98th percentiles according to the EUCAST database). Against this isolate, imipenem (1.5× MIC) combined with 1 to 2 mg/liter tobramycin (MIC, 32 mg/liter) or amikacin (MIC, 4 mg/liter) yielded ≥2-log10 more killing than the most active monotherapy at 48 h and prevented resistance. For all three strains, synergistic killing without resistance was achieved by ≥0.88× MICimipenem in combination with a median of 0.75× MICtobramycin (range, 0.032× to 2.0× MICtobramycin) or 0.50× MICamikacin (range, 0.25× to 0.50× MICamikacin). The MBM indicated that aminoglycosides significantly enhanced the imipenem target site concentration up to 3-fold; achieving 50% of this synergistic effect required aminoglycoside concentrations of 1.34 mg/liter (if the aminoglycoside MIC was 4 mg/liter) and 4.88 mg/liter (for MICs of 8 to 32 mg/liter). An optimized combination regimen (continuous infusion of imipenem at 5 g/day plus a 0.5-h infusion with 7 mg/kg of body weight tobramycin) was predicted to achieve >2.0-log10 killing and prevent regrowth at 48 h in 90.3% of patients (median bacterial killing, >4.0 log10 CFU/ml) against double-resistant isolate FADDI-PA088 and therefore was highly promising.
Copyright © 2016 American Society for Microbiology.

Entities:  

Keywords:  Monte Carlo simulations; amikacin; imipenem; mathematical modeling; population pharmacokinetics and pharmacodynamics; synergy; tobramycin

Mesh:

Substances:

Year:  2016        PMID: 27821448      PMCID: PMC5192108          DOI: 10.1128/AAC.01011-16

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


  71 in total

1.  In vitro activities of ceftobiprole combined with amikacin or levofloxacin against Pseudomonas aeruginosa: evidence of a synergistic effect using time-kill methodology.

Authors:  Michael Kresken; Barbara Körber-Irrgang; Jörg Läuffer; Sabine Decker-Burgard; Todd Davies
Journal:  Int J Antimicrob Agents       Date:  2011-04-22       Impact factor: 5.283

2.  TDM-guided therapy with daptomycin and meropenem in a morbidly obese, critically ill patient.

Authors:  Federico Pea; Piergiorgio Cojutti; Rodolfo Sbrojavacca; Barbara Cadeo; Francesco Cristini; Alessandro Bulfoni; Mario Furlanut
Journal:  Ann Pharmacother       Date:  2011-07-12       Impact factor: 3.154

3.  Interaction of drug- and granulocyte-mediated killing of Pseudomonas aeruginosa in a murine pneumonia model.

Authors:  George Louis Drusano; Weiguo Liu; Steven Fikes; Ryan Cirz; Nichole Robbins; Stephanie Kurhanewicz; Jaime Rodriquez; David Brown; Dodge Baluya; Arnold Louie
Journal:  J Infect Dis       Date:  2014-04-22       Impact factor: 5.226

Review 4.  Optimizing antimicrobial therapy of sepsis and septic shock: focus on antibiotic combination therapy.

Authors:  Gloria Vazquez-Grande; Anand Kumar
Journal:  Semin Respir Crit Care Med       Date:  2015-02-02       Impact factor: 3.119

5.  Impact of granulocytes on the antimicrobial effect of tedizolid in a mouse thigh infection model.

Authors:  G L Drusano; Weiguo Liu; Robert Kulawy; Arnold Louie
Journal:  Antimicrob Agents Chemother       Date:  2011-09-12       Impact factor: 5.191

6.  The antibacterial activity of meropenem in combination with gentamicin or vancomycin.

Authors:  R Wise; J P Ashby; J M Andrews
Journal:  J Antimicrob Chemother       Date:  1989-09       Impact factor: 5.790

7.  Impact of high-inoculum Staphylococcus aureus on the activities of nafcillin, vancomycin, linezolid, and daptomycin, alone and in combination with gentamicin, in an in vitro pharmacodynamic model.

Authors:  Kerry L LaPlante; Michael J Rybak
Journal:  Antimicrob Agents Chemother       Date:  2004-12       Impact factor: 5.191

8.  Evaluation of the E test for the assessment of synergy of antibiotic combinations against multiresistant Pseudomonas aeruginosa isolates from cystic fibrosis patients.

Authors:  B Balke; M Hogardt; S Schmoldt; L Hoy; H Weissbrodt; S Häussler
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2006-01       Impact factor: 3.267

9.  Mechanistic population pharmacokinetics of total and unbound paclitaxel for a new nanodroplet formulation versus Taxol in cancer patients.

Authors:  Jürgen B Bulitta; Ping Zhao; Robert D Arnold; Dean R Kessler; Richard Daifuku; James Pratt; Gabriel Luciano; Axel-R Hanauske; Hans Gelderblom; Ahmad Awada; William J Jusko
Journal:  Cancer Chemother Pharmacol       Date:  2008-09-13       Impact factor: 3.333

10.  Clinical implications of cefazolin inoculum effect and β-lactamase type on methicillin-susceptible Staphylococcus aureus bacteremia.

Authors:  Shinwon Lee; Ki Tae Kwon; Hye-In Kim; Hyun Ha Chang; Jong-Myung Lee; Pyoeng Gyun Choe; Wan Beom Park; Nam Joong Kim; Myoung-Don Oh; Do Young Song; Shin-Woo Kim
Journal:  Microb Drug Resist       Date:  2014-12       Impact factor: 3.431

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  18 in total

1.  In Vitro Activity of Imipenem-Relebactam Alone or in Combination with Amikacin or Colistin against Pseudomonas aeruginosa.

Authors:  Tomefa E Asempa; David P Nicolau; Joseph L Kuti
Journal:  Antimicrob Agents Chemother       Date:  2019-08-23       Impact factor: 5.191

2.  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

3.  Meropenem, rifampicin and gentamicin combination therapy in a patient with complicated urinary tract infection caused by extreme drug-resistant P. aeruginosa.

Authors:  Aslınur Albayrak; Dolunay Merve Fakioğlu; Esin Şenol
Journal:  Eur J Hosp Pharm       Date:  2019-07-13

Review 4.  Individualising Therapy to Minimize Bacterial Multidrug Resistance.

Authors:  A J Heffernan; F B Sime; J Lipman; J A Roberts
Journal:  Drugs       Date:  2018-04       Impact factor: 9.546

5.  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

6.  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

7.  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

8.  Aminoglycoside Concentrations Required for Synergy with Carbapenems against Pseudomonas aeruginosa Determined via Mechanistic Studies and Modeling.

Authors:  Rajbharan Yadav; Jürgen B Bulitta; Elena K Schneider; Beom Soo Shin; Tony Velkov; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2017-11-22       Impact factor: 5.191

9.  Evaluation of Pharmacokinetic/Pharmacodynamic Model-Based Optimized Combination Regimens against Multidrug-Resistant Pseudomonas aeruginosa in a Murine Thigh Infection Model by Using Humanized Dosing Schemes.

Authors:  Rajbharan Yadav; Jürgen B Bulitta; Jiping Wang; Roger L Nation; Cornelia B Landersdorfer
Journal:  Antimicrob Agents Chemother       Date:  2017-11-22       Impact factor: 5.191

10.  Combating Carbapenem-Resistant Acinetobacter baumannii by an Optimized Imipenem-plus-Tobramycin Dosage Regimen: Prospective Validation via Hollow-Fiber Infection and Mathematical Modeling.

Authors:  Cornelia B Landersdorfer; Rajbharan Yadav; Jürgen B Bulitta; Kate E Rogers; Tae Hwan Kim; Beom Soo Shin; John D Boyce; Roger L Nation
Journal:  Antimicrob Agents Chemother       Date:  2018-03-27       Impact factor: 5.191

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