Literature DB >> 33685901

Semi-mechanistic PK/PD modelling of fosfomycin and sulbactam combination against carbapenem-resistant Acinetobacter baumannii.

S Mohd Sazlly Lim1,2, A J Heffernan1,3, J A Roberts1,4, F B Sime5.   

Abstract

Due to limited treatment options for carbapenem-resistant Acinetobacter baumannii (CR-AB) infections, antibiotic combinations are now considered potential treatments for CR-AB. This study aimed to explore the utility of fosfomycin-sulbactam combination (FOS/SUL) therapy against CR-AB isolates.Synergism of FOS/SUL against 50 clinical CR-AB isolates were screened using the checkerboard method. Thereafter, time-kill studies against two CR-AB isolates were performed. The time-kill data were described using a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model. Monte Carlo simulations were then performed to estimate the probability of stasis, 1-log kill and 2-log kill after 24-hours with combination therapy.The FOS/SUL combination demonstrated a synergistic effect against 74% of isolates. No antagonism was observed. The MIC50 and MIC90 of FOS/SUL were decreased four- to eight-fold, compared to the monotherapy MIC50 and MIC90 In the time-kill studies, the combination displayed bactericidal activity against both isolates and synergistic activity against one isolate, at the highest clinically achievable concentrations. Our PK/PD model was able to describe the interaction between fosfomycin and sulbactam in vitro Bacterial kill was mainly driven by sulbactam, with fosfomycin augmentation. FOS/SUL regimens that included sulbactam 4 g every 8 hours, demonstrated a probability of target attainment of 1-log10 kill at 24 h of ∼69-76%, as compared to ∼15-30% with monotherapy regimens at the highest doses.The reduction in the MIC values and the achievement of a moderate PTA of a 2-log10 reduction in bacterial burden demonstrated that FOS/SUL may potentially be effective against some CR-AB infections.
Copyright © 2021 American Society for Microbiology.

Entities:  

Year:  2021        PMID: 33685901      PMCID: PMC8092884          DOI: 10.1128/AAC.02472-20

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


  33 in total

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2.  Efficacy of sulbactam for the treatment of Acinetobacter baumannii complex infection: A systematic review and meta-analysis.

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3.  Molecular mechanisms of sulbactam antibacterial activity and resistance determinants in Acinetobacter baumannii.

Authors:  William F Penwell; Adam B Shapiro; Robert A Giacobbe; Rong-Fang Gu; Ning Gao; Jason Thresher; Robert E McLaughlin; Michael D Huband; Boudewijn L M DeJonge; David E Ehmann; Alita A Miller
Journal:  Antimicrob Agents Chemother       Date:  2015-01-05       Impact factor: 5.191

Review 4.  Pharmacokinetic issues for antibiotics in the critically ill patient.

Authors:  Jason A Roberts; Jeffrey Lipman
Journal:  Crit Care Med       Date:  2009-03       Impact factor: 7.598

5.  Population Pharmacokinetics and Pharmacodynamics Modeling To Optimize Dosage Regimens of Sulbactam in Critically Ill Patients with Severe Sepsis Caused by Acinetobacter baumannii.

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Journal:  Antimicrob Agents Chemother       Date:  2016-11-21       Impact factor: 5.191

6.  The mechanism of action of fosfomycin (phosphonomycin).

Authors:  F M Kahan; J S Kahan; P J Cassidy; H Kropp
Journal:  Ann N Y Acad Sci       Date:  1974-05-10       Impact factor: 5.691

7.  Basic concepts in population modeling, simulation, and model-based drug development-part 2: introduction to pharmacokinetic modeling methods.

Authors:  D R Mould; R N Upton
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-04-17

Review 8.  Biology of Acinetobacter baumannii: Pathogenesis, Antibiotic Resistance Mechanisms, and Prospective Treatment Options.

Authors:  Chang-Ro Lee; Jung Hun Lee; Moonhee Park; Kwang Seung Park; Il Kwon Bae; Young Bae Kim; Chang-Jun Cha; Byeong Chul Jeong; Sang Hee Lee
Journal:  Front Cell Infect Microbiol       Date:  2017-03-13       Impact factor: 5.293

9.  The Influence of Normalization Weight in Population Pharmacokinetic Covariate Models.

Authors:  Sebastiaan C Goulooze; Swantje Völler; Pyry A J Välitalo; Elisa A M Calvier; Leon Aarons; Elke H J Krekels; Catherijne A J Knibbe
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

10.  From Bench-Top to Bedside: A Prospective In Vitro Antibiotic Combination Testing (iACT) Service to Guide the Selection of Rationally Optimized Antimicrobial Combinations against Extensively Drug Resistant (XDR) Gram Negative Bacteria (GNB).

Authors:  Yiying Cai; Nathalie Grace Chua; Tze-Peng Lim; Jocelyn Qi-Min Teo; Winnie Lee; Asok Kurup; Tse-Hsien Koh; Thuan-Tong Tan; Andrea L Kwa
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

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1.  An Evidence-Based Multidisciplinary Approach Focused on Creating Algorithms for Targeted Therapy of Infection-Related Ventilator-Associated Complications (IVACs) Caused by Pseudomonas aeruginosa and Acinetobacter baumannii in Critically Ill Adult Patients.

Authors:  Milo Gatti; Bruno Viaggi; Gian Maria Rossolini; Federico Pea; Pierluigi Viale
Journal:  Antibiotics (Basel)       Date:  2021-12-28
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