Literature DB >> 29415212

A mathematical model-based analysis of the time-kill kinetics of ceftazidime/avibactam against Pseudomonas aeruginosa.

Sherwin K B Sy1, Luning Zhuang1, Huiming Xia2, Marie-Eve Beaudoin3, Virna J Schuck3, Wright W Nichols3, Hartmut Derendorf1.   

Abstract

Objectives: To characterize quantitatively the effect of avibactam in potentiating ceftazidime against MDR Pseudomonas aeruginosa by developing a mathematical model to describe the bacterial response to constant concentration time-kill information and validating it using both constant and time-varying concentration-effect data from in vitro and in vivo infection systems.
Methods: The time course of the bacterial population dynamics in the presence of static concentrations of ceftazidime and avibactam was modelled using a two-state pharmacokinetic/pharmacodynamic (PK/PD) model, consisting of active and resting states, to account for bactericidal activities, bacteria-mediated ceftazidime degradation and inhibition of degradation by avibactam. Ceftazidime's effect on the bacterial population was described as an enhancement of the death rate of the active population, with the effect of avibactam being to increase ceftazidime potency. Model validation was performed by comparing simulated time courses of bacterial responses with those from in vitro and in vivo experimental exposures of ceftazidime and avibactam that represented those predicted in an average patient dosed with 2 g/0.5 g ceftazidime/avibactam administered every 8 h as 2 h infusions.
Results: The two-state model successfully described the bacterial population dynamics, ceftazidime degradation and its inhibition by avibactam. For external validation, the model correctly predicted the bacterial response of P. aeruginosa isolates evaluated in in vitro hollow-fibre and in vivo neutropenic mouse thigh and lung infection models. Conclusions: The PK/PD model and modelled strains successfully replicated the spread in activity when compared with a large selection of P. aeruginosa strains reported in the literature.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29415212     DOI: 10.1093/jac/dkx537

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


  9 in total

Review 1.  Clinical Pharmacokinetics and Pharmacodynamics of Ceftazidime-Avibactam Combination: A Model-Informed Strategy for its Clinical Development.

Authors:  Sherwin K B Sy; Luning Zhuang; Serubbabel Sy; Hartmut Derendorf
Journal:  Clin Pharmacokinet       Date:  2019-05       Impact factor: 6.447

2.  Antibacterial Activity of Human Simulated Epithelial Lining Fluid Concentrations of Ceftazidime-Avibactam Alone or in Combination with Amikacin Inhale (BAY41-6551) against Carbapenem-Resistant Pseudomonas aeruginosa and Klebsiella pneumoniae.

Authors:  Safa S Almarzoky Abuhussain; Joseph L Kuti; David P Nicolau
Journal:  Antimicrob Agents Chemother       Date:  2018-06-26       Impact factor: 5.191

3.  Pharmacodynamic Attainment of the Synergism of Meropenem and Fosfomycin Combination against Pseudomonas aeruginosa Producing Metallo-β-Lactamase.

Authors:  James Albiero; Josmar Mazucheli; Juliana Pimenta Dos Reis Barros; Marcia Maria Dos Anjos Szczerepa; Sheila Alexandra Belini Nishiyama; Floristher Elaine Carrara-Marroni; Serubbabel Sy; Matthew Fidler; Sherwin K B Sy; Maria Cristina Bronharo Tognim
Journal:  Antimicrob Agents Chemother       Date:  2019-05-24       Impact factor: 5.191

4.  Semimechanistic Pharmacodynamic Modeling of Aztreonam-Avibactam Combination to Understand Its Antimicrobial Activity Against Multidrug-Resistant Gram-Negative Bacteria.

Authors:  Alexia Chauzy; Bruna Gaelzer Silva Torres; Julien Buyck; Boudewijn de Jonge; Christophe Adier; Sandrine Marchand; William Couet; Nicolas Grégoire
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-08-16

Review 5.  Model-Informed Drug Development for Anti-Infectives: State of the Art and Future.

Authors:  Craig R Rayner; Patrick F Smith; David Andes; Kayla Andrews; Hartmut Derendorf; Lena E Friberg; Debra Hanna; Alex Lepak; Edward Mills; Thomas M Polasek; Jason A Roberts; Virna Schuck; Mark J Shelton; David Wesche; Karen Rowland-Yeo
Journal:  Clin Pharmacol Ther       Date:  2021-03-09       Impact factor: 6.875

Review 6.  Application of Semi-Mechanistic Pharmacokinetic and Pharmacodynamic Model in Antimicrobial Resistance.

Authors:  Kun Mi; Kaixiang Zhou; Lei Sun; Yixuan Hou; Wenjin Ma; Xiangyue Xu; Meixia Huo; Zhenli Liu; Lingli Huang
Journal:  Pharmaceutics       Date:  2022-01-21       Impact factor: 6.321

Review 7.  Pharmacodynamic Parameters of Pharmacokinetic/Pharmacodynamic (PK/PD) Integration Models.

Authors:  Longfei Zhang; Hongbing Xie; Yongqiang Wang; Hongjuan Wang; Jianhe Hu; Gaiping Zhang
Journal:  Front Vet Sci       Date:  2022-03-24

8.  Ceftazidime-Avibactam Population Pharmacokinetic Modeling and Pharmacodynamic Target Attainment Across Adult Indications and Patient Subgroups.

Authors:  Jianguo Li; Mark Lovern; Michelle L Green; Joannellyn Chiu; Diansong Zhou; Craig Comisar; Yuan Xiong; Jeremy Hing; Merran MacPherson; James G Wright; Todd Riccobene; Timothy J Carrothers; Shampa Das
Journal:  Clin Transl Sci       Date:  2018-09-28       Impact factor: 4.689

Review 9.  Predicting Antimicrobial Activity at the Target Site: Pharmacokinetic/Pharmacodynamic Indices versus Time-Kill Approaches.

Authors:  Wisse van Os; Markus Zeitlinger
Journal:  Antibiotics (Basel)       Date:  2021-12-04
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.