Literature DB >> 17194570

Pharmacokinetic/pharmacodynamic modeling of in vitro activity of azithromycin against four different bacterial strains.

Wanchai Treyaprasert1, Stephan Schmidt, Kenneth H Rand, Uthai Suvanakoot, Hartmut Derendorf.   

Abstract

The bacterial time-kill curves of azithromycin against four bacterial strains (Streptococcus pneumoniae/penicillin-intermediate, S. pneumoniae/penicillin-sensitive, Haemophilus influenzae and Moraxella catarrhalis) were determined by in vitro infection models. Eighteen different pharmacokinetic/pharmacodynamic models were fitted to the time-kill data using non-linear regression and compared for best fit. A simple, widely used E(max) model was not sufficient to describe the pharmacodynamic effects for the four bacterial strains. Appropriate models that gave good curve fits included additional terms for saturation of the number of bacteria (N(max)), delay in the initial bacterial growth phase and/or the onset of anti-infective activity (1-exp(-zt)) as well as a Hill factor (h) that captures the steepness of the concentration-response profile. Azithromycin was highly effective against S. pneumoniae strains and M. catarrhalis while the efficacy against H. influenzae was poor. Applications of these pharmacokinetic/pharmacodynamic models will eventually provide a tool for rational antibiotic dosing regimen decisions.

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Year:  2006        PMID: 17194570     DOI: 10.1016/j.ijantimicag.2006.08.049

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  16 in total

1.  Pharmacodynamic modeling of in vitro activity of marbofloxacin against Escherichia coli strains.

Authors:  M Andraud; C Chauvin; P Sanders; M Laurentie
Journal:  Antimicrob Agents Chemother       Date:  2010-11-15       Impact factor: 5.191

2.  A pharmacokinetic/pharmacodynamic mathematical model accurately describes the activity of voriconazole against Candida spp. in vitro.

Authors:  Yanjun Li; M Hong Nguyen; Shaoji Cheng; Stephan Schmidt; Li Zhong; Hartmut Derendorf; Cornelius J Clancy
Journal:  Int J Antimicrob Agents       Date:  2008-01-22       Impact factor: 5.283

3.  Effect of protein binding on the pharmacological activity of highly bound antibiotics.

Authors:  Stephan Schmidt; Katharina Röck; Martina Sahre; Olaf Burkhardt; Martin Brunner; Maximilian T Lobmeyer; Hartmut Derendorf
Journal:  Antimicrob Agents Chemother       Date:  2008-09-08       Impact factor: 5.191

4.  Pharmacokinetic/pharmacodynamic (PK/PD) indices of antibiotics predicted by a semimechanistic PKPD model: a step toward model-based dose optimization.

Authors:  Elisabet I Nielsen; Otto Cars; Lena E Friberg
Journal:  Antimicrob Agents Chemother       Date:  2011-08-01       Impact factor: 5.191

5.  Time-kill curves of daptomycin and Monte Carlo simulation for the treatment of bacteraemia caused by Enterococcus faecium.

Authors:  Bruna Kochhann Menezes; Izabel Almeida Alves; Keli Jaqueline Staudt; Betina Montanari Beltrame; Letícia Venz; Lessandra Michelin; Bibiana Verlindo Araujo; Leandro Tasso
Journal:  Braz J Microbiol       Date:  2019-12-16       Impact factor: 2.476

6.  Attenuation of colistin bactericidal activity by high inoculum of Pseudomonas aeruginosa characterized by a new mechanism-based population pharmacodynamic model.

Authors:  Jürgen B Bulitta; Jenny C Yang; Liliana Yohonn; Neang S Ly; Silvia V Brown; Rebecca E D'Hondt; William J Jusko; Alan Forrest; Brian T Tsuji
Journal:  Antimicrob Agents Chemother       Date:  2010-03-08       Impact factor: 5.191

7.  Pharmacodynamics of vancomycin at simulated epithelial lining fluid concentrations against methicillin-resistant Staphylococcus aureus (MRSA): implications for dosing in MRSA pneumonia.

Authors:  Yoriko Harigaya; Jürgen B Bulitta; Alan Forrest; George Sakoulas; Alan J Lesse; Joseph M Mylotte; Brian T Tsuji
Journal:  Antimicrob Agents Chemother       Date:  2009-07-13       Impact factor: 5.191

8.  Prevalence, resistance mechanisms, and susceptibility of multidrug-resistant bloodstream isolates of Pseudomonas aeruginosa.

Authors:  Vincent H Tam; Kai-Tai Chang; Kamilia Abdelraouf; Cristina G Brioso; Magdalene Ameka; Laurie A McCaskey; Jaye S Weston; Juan-Pablo Caeiro; Kevin W Garey
Journal:  Antimicrob Agents Chemother       Date:  2010-01-19       Impact factor: 5.191

9.  Development and qualification of a pharmacodynamic model for the pronounced inoculum effect of ceftazidime against Pseudomonas aeruginosa.

Authors:  Jürgen B Bulitta; Neang S Ly; Jenny C Yang; Alan Forrest; William J Jusko; Brian T Tsuji
Journal:  Antimicrob Agents Chemother       Date:  2008-10-13       Impact factor: 5.191

10.  Pharmacokinetic-pharmacodynamic modeling of the in vitro activities of oxazolidinone antimicrobial agents against methicillin-resistant Staphylococcus aureus.

Authors:  Stephan Schmidt; Sreedharan Nair Sabarinath; April Barbour; Darren Abbanat; Prasarn Manitpisitkul; Sue Sha; Hartmut Derendorf
Journal:  Antimicrob Agents Chemother       Date:  2009-09-28       Impact factor: 5.191

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