INTRODUCTION: Given the ever increasing number of obese patients and obesity related bypass surgery, dosing recommendations in the post-bypass population are needed. Using a population pharmacokinetic (PK) analysis and PK-pharmacodynamic (PD) simulations, we investigated whether adequate moxifloxacin concentrations are achieved in this population. METHODS: In this modelling and simulation study we used data from a trial on moxifloxacin PK. In this trial, volunteers who had previously undergone bariatric surgery (at least 6 months prior to inclusion), received two doses (intravenous and oral) of 400 mg moxifloxacin administered on two occasions. RESULTS: In contrast to other papers, we found that moxifloxacin PK were best described by a three compartmental model using lean body mass (LBM) as a predictor for moxifloxacin clearance. Furthermore, we showed that the probability of target attainment for bacterial eradication against a hypothetical Streptococcus pneumoniae infection is compromised in patients with higher LBM, especially when targeting microorganisms with minimum inhibitory concentrations (MICs) of 0.5 mg l(-1) or higher (probability of target attainment (PTA) approaching zero). When considering the targets for suppression of bacterial resistance formation, even at MIC values as low as 0.25 mg l(-1) , standard moxifloxacin dosing does not attain adequate levels in this population. Furthermore, for patients with a LBM of 78 kg or higher, the probability of hitting this target approaches zero. CONCLUSIONS: Throughout our PK-PD simulation study, it became apparent that, whenever optimal bacterial resistance suppression is deemed necessary, the standard moxifloxacin dosing will not be sufficient. Furthermore, our study emphasizes the need for a LBM based individualized dosing of moxifloxacin in this patient population.
INTRODUCTION: Given the ever increasing number of obesepatients and obesity related bypass surgery, dosing recommendations in the post-bypass population are needed. Using a population pharmacokinetic (PK) analysis and PK-pharmacodynamic (PD) simulations, we investigated whether adequate moxifloxacin concentrations are achieved in this population. METHODS: In this modelling and simulation study we used data from a trial on moxifloxacin PK. In this trial, volunteers who had previously undergone bariatric surgery (at least 6 months prior to inclusion), received two doses (intravenous and oral) of 400 mg moxifloxacin administered on two occasions. RESULTS: In contrast to other papers, we found that moxifloxacin PK were best described by a three compartmental model using lean body mass (LBM) as a predictor for moxifloxacin clearance. Furthermore, we showed that the probability of target attainment for bacterial eradication against a hypothetical Streptococcus pneumoniae infection is compromised in patients with higher LBM, especially when targeting microorganisms with minimum inhibitory concentrations (MICs) of 0.5 mg l(-1) or higher (probability of target attainment (PTA) approaching zero). When considering the targets for suppression of bacterial resistance formation, even at MIC values as low as 0.25 mg l(-1) , standard moxifloxacin dosing does not attain adequate levels in this population. Furthermore, for patients with a LBM of 78 kg or higher, the probability of hitting this target approaches zero. CONCLUSIONS: Throughout our PK-PD simulation study, it became apparent that, whenever optimal bacterial resistance suppression is deemed necessary, the standard moxifloxacin dosing will not be sufficient. Furthermore, our study emphasizes the need for a LBM based individualized dosing of moxifloxacin in this patient population.
Authors: Julie De Smet; Pieter Colin; Peter De Paepe; Johannes Ruige; Hélène Batens; Yves Van Nieuwenhove; Dirk Vogelaers; Stijn Blot; Jan Van Bocxlaer; Luc M Van Bortel; Koen Boussery Journal: J Antimicrob Chemother Date: 2011-10-10 Impact factor: 5.790
Authors: Pratik Bhagunde; Renu Singh; Kimberly R Ledesma; Kai-Tai Chang; Michael Nikolaou; Vincent H Tam Journal: J Antimicrob Chemother Date: 2011-03-03 Impact factor: 5.790
Authors: Julie De Smet; Koen Boussery; Kirsten Colpaert; Peter De Sutter; Peter De Paepe; Johan Decruyenaere; Jan Van Bocxlaer Journal: J Chromatogr B Analyt Technol Biomed Life Sci Date: 2009-02-24 Impact factor: 3.205
Authors: Raj S Padwal; Mohamed Ben-Eltriki; Xiaoming Wang; Lee-Ann Langkaas; Arya M Sharma; Dan W Birch; Shahzeer Karmali; Dion R Brocks Journal: J Antimicrob Chemother Date: 2012-05-10 Impact factor: 5.790