Literature DB >> 16518709

The integrated use of pharmacokinetic and pharmacodynamic models for the definition of breakpoints.

H Stass1, A Dalhoff.   

Abstract

For fluoroquinolones AUC/MIC ratios are known to correlate with clinical outcomes for patients suffering from respiratory tract infections (RTI) and complicated skin and skin structure infections (cSSSI). This paper describes the results of a population PK/PD analysis followed by Monte Carlo simulations to estimate clinical outcome and the microbiological breakpoints for a 400 mg once-daily moxifloxacin (MFX) treatment schedule. Based on PK data from 416 subjects, a non-compartmental population PK model was developed first to describe the expected exposure (AUC) distribution in humans. Height and gender were the main population covariates with moderate influence on PK variability. Albumin, bilirubin, and creatinine clearance (as derived from serum creatinine according to Cockroft and Gault) had a mild effect on AUC. Residual unexplained variability of AUC was low (13.1%). To describe the PD function the MIC distribution pattern of more than 3,000 isolates of S. pneumoniae as the representative pathogen for RTI (MIC90, range: 0.125; 0.006-4 mg/l) was built into the population PK/PD model for RTI, while 126 isolates of methicillin-susceptible Staphylococcus aureus strains (MIC90, range: 0.125; 0.03-4 mg/l) were the basis for the PD function in cSSSI. Simulations for 20,000 (RTI) and 4,000 (cSSSI) subjects were performed to evaluate the AUC/MIC characteristics for moxifloxacin for these two diseases. Overall, a target hit rate was THR = 99% for RTI, while it amounted to THR = 97.5% for cSSSI when applying a threshold of AUIC > 30 [h] as the PK/PD surrogate parameter which is predictive for a positive clinical outcome. A target hit rate of THR = 93.6 % (RTI) and 97.3% (cSSSI), respectively, was predicted when assuming that an AUIC of > 125 [h] is indicative of clinical success (as shown for ciprofloxacin and severe RTIs due to gram-negative infections). In clinical trials with patients receiving 400 mg moxifloxacin once daily for the treatment of community-acquired pneumonia (CAP) success rate was approximately 93.5%. From the simulations performed for RTI an analysis of the overall likelihood of therapeutic failure broken down according to MICs suggests that the risk of a negative clinical outcome at a MIC = 1 mg/l is approximately 0.25% (for MIC = 2 mg/l: predicted likelihood approximately 0.5%) assuming that a cutoff of AUIC = 30 [h] is applicable. Likewise, for cSSSI the probability to fail is predicted as 1.6% at a MIC = 2 mg/l (no strains with MICs between 0.5 and 1 mg/l available from the clinical isolates). These findings are in line with the breakpoint definition of the former National Committee for Clinical Laboratory Standards (NCCLS) for MFX (=1 mg/L to differentiate between susceptible and intermediately susceptible microorganisms; = 2 mg/l to separate intermediate from resistant pathogens). The results of the investigation indicate that the noncompartmental PK/PD model for MFX is suitable to predict clinical outcomes in CAP and cSSSI caused by gram-positive aerobe pathogens. They confirmed that a 400 mg once-daily dosing regimen is suitable to treat these diseases successfully. They are in agreement with the microbiological breakpoints determined by independent methods by the Clinical and Laboratory Standards Institute (CLSI) (former NCCLS).

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Year:  2005        PMID: 16518709     DOI: 10.1007/s15010-005-8205-z

Source DB:  PubMed          Journal:  Infection        ISSN: 0300-8126            Impact factor:   3.553


  8 in total

1.  Pharmacokinetics and penetration of moxifloxacin into infected diabetic foot tissue in a large diabetic patient cohort.

Authors:  Jolanta Majcher-Peszynska; Marko Sass; Sora Schipper; Viktor Czaika; Andreas Gussmann; Ralf Lobmann; Ralf G Mundkowski; Christoph Luebbert; Peter Kujath; Bernhard R Ruf; Horst Koch; Wolfgang Schareck; Ernst Klar; Bernd Drewelow
Journal:  Eur J Clin Pharmacol       Date:  2010-09-25       Impact factor: 2.953

2.  Teicoplanin dosing strategy for treatment of Staphylococcus aureus in Korean patients with neutropenic fever.

Authors:  Byung-Jin Ahn; Dong-Seok Yim; Dong-Gun Lee; Jae-Cheol Kwon; Si-Hyun Kim; Su-Mi Choi
Journal:  Yonsei Med J       Date:  2011-07       Impact factor: 2.759

3.  Moxifloxacin dosing in post-bariatric surgery patients.

Authors:  Pieter Colin; Douglas J Eleveld; Michel M R F Struys; Huybrecht T'Jollyn; Luc M Van Bortel; Johannes Ruige; Jan De Waele; Jan Van Bocxlaer; Koen Boussery
Journal:  Br J Clin Pharmacol       Date:  2014-07       Impact factor: 4.335

4.  Should moxifloxacin be used for the treatment of extensively drug-resistant tuberculosis? An answer from a murine model.

Authors:  Julien Poissy; Alexandra Aubry; Christine Fernandez; Marie-Catherine Lott; Aurelie Chauffour; Vincent Jarlier; Robert Farinotti; Nicolas Veziris
Journal:  Antimicrob Agents Chemother       Date:  2010-08-30       Impact factor: 5.191

Review 5.  Applications of pharmacometrics in the clinical development and pharmacotherapy of anti-infectives.

Authors:  Ashit Trivedi; Richard E Lee; Bernd Meibohm
Journal:  Expert Rev Clin Pharmacol       Date:  2013-03       Impact factor: 5.045

6.  Pharmacokinetics in plasma and alveolar regions of healthy calves subcutaneously administered a single dose of enrofloxacin.

Authors:  Tetsuro Kuramae; Konosuke Otomaru; Masaya Hirata; Shingo Ishikawa; Michiko Noguchi; Tomonobu Ikedo; Chie Horinouchi; Jun Hayashi; Keita Tsumagari; Seiji Hobo
Journal:  J Vet Med Sci       Date:  2020-07-19       Impact factor: 1.267

7.  Application of Physiologically-Based and Population Pharmacokinetic Modeling for Dose Finding and Confirmation During the Pediatric Development of Moxifloxacin.

Authors:  Stefan Willmann; Matthias Frei; Gabriele Sutter; Katrin Coboeken; Thomas Wendl; Thomas Eissing; Jörg Lippert; Heino Stass
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-08-07

8.  Pharmacokinetics, Safety, and Tolerability of Single-Dose Intravenous Moxifloxacin in Pediatric Patients: Dose Optimization in a Phase 1 Study.

Authors:  Heino Stass; John Lettieri; Konstantina M Vanevski; Stefan Willmann; Laura P James; Janice E Sullivan; Antonio C Arrieta; John S Bradley
Journal:  J Clin Pharmacol       Date:  2019-01-25       Impact factor: 2.860

  8 in total

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