Literature DB >> 8735415

Pharmacokinetic-pharmacodynamic model for spiramycin in staphylococcal mastitis.

L Renard1, P Sanders, M Laurentie, J M Delmas.   

Abstract

Simultaneous pharmacokinetic-pharmacodynamic (PK/PD) modelling for spiramycin in staphylococcal infections of the mammary gland of cows was used to predict the efficacy of spiramycin. A differential equation derived from the Zhi model was fitted to an in vitro killing curve and post-antibiotic effect determination. A seven-compartment PK model, in which 4 compartments representing each quarter of the mammary gland which was considered to be the effect compartment, was included. The PD model linked to the PK model was able to describe the in vivo spiramycin effect against Staphylococcus aureus. The parameters calculated from in vitro data predicted a rapid decrease for the first 12-24 h, and regrowth within 72 h following the treatment, whereas in vivo the bacterial effect was much less after 24 h than that predicted by the in vitro data. PK/PD modelling permitted the simulation of various doses to optimize the efficacy of the antibiotic, taking into account such dynamic parameters as bacterial growth rate constant, bacterial killing rate constant and the Michaelis-Menten type saturation constant. An optimal dosage regimen of 20000 IU/kg per day for 3 days was predicted for the treatment of Staphylococcus aureus mastitis.

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Year:  1996        PMID: 8735415     DOI: 10.1111/j.1365-2885.1996.tb00019.x

Source DB:  PubMed          Journal:  J Vet Pharmacol Ther        ISSN: 0140-7783            Impact factor:   1.786


  2 in total

Review 1.  Issues in pharmacokinetics and pharmacodynamics of anti-infective agents: kill curves versus MIC.

Authors:  Markus Mueller; Amparo de la Peña; Hartmut Derendorf
Journal:  Antimicrob Agents Chemother       Date:  2004-02       Impact factor: 5.191

Review 2.  The Role of PK/PD Analysis in the Development and Evaluation of Antimicrobials.

Authors:  Alicia Rodríguez-Gascón; María Ángeles Solinís; Arantxa Isla
Journal:  Pharmaceutics       Date:  2021-06-03       Impact factor: 6.321

  2 in total

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