Literature DB >> 28039274

Population-based meta-analysis of roxithromycin pharmacokinetics: dosing implications of saturable absorption and protein binding.

Michael J Dolton, David Z D'Argenio.   

Abstract

Objectives: The macrolide antibiotic roxithromycin has seen widespread clinical use for several decades; however, no population pharmacokinetic analysis has been published. Early studies indicated saturation of protein binding and absorption at doses within the approved range, which may impact pharmacodynamic target attainment since regimens of 150 mg twice daily and 300 mg once daily are used interchangeably in clinical practice. This study aimed to develop a population-based meta-analysis of roxithromycin pharmacokinetics, and utilize this model to inform optimal dosing regimens.
Methods: Following an extensive search, roxithromycin pharmacokinetic data were collected or digitized from literature publications. Population pharmacokinetic modelling was undertaken with ADAPT. Dosing simulations were performed to investigate differences in exposure and pharmacodynamic target attainment between dosing regimens.
Results: A two-compartment model with saturable absorption described the data ( n  =   63); changes in free drug exposure were simulated using a saturable protein binding model. Simulations indicated that a 300 mg daily regimen achieves a 37% and 53% lower total or free AUC ( f AUC), respectively, compared with 150 mg twice daily. These pharmacokinetic differences translated to significantly lower target attainment ( f AUC/MIC ratio >20) with a 300 mg daily regimen at MICs of 0.5 and 1 mg/L (51% and 7%) compared with patients receiving 150 mg twice daily (82% and 54%). Conclusions: Roxithromycin displays saturable absorption and protein binding leading to lower exposure and lower target attainment at MICs ≥0.5 mg/L with widely used once-daily dosing regimens, indicating that twice-daily regimens may be preferable for pathogens less susceptible to roxithromycin.
© The Author 2016. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2017        PMID: 28039274      PMCID: PMC6075454          DOI: 10.1093/jac/dkw553

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


  24 in total

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Authors:  Yu-Mei Tan; Hugh A Barton; Alan Boobis; Rachel Brunner; Harvey Clewell; Rhian Cope; Jeffrey Dawson; Jeanne Domoradzki; Peter Egeghy; Pankaj Gulati; Brandall Ingle; Nicole Kleinstreuer; Kelly Lowe; Anna Lowit; Elizabeth Mendez; David Miller; Jeffrey Minucci; James Nguyen; Alicia Paini; Monique Perron; Katherine Phillips; Hua Qian; Tharacad Ramanarayanan; Fiona Sewell; Philip Villanueva; John Wambaugh; Michelle Embry
Journal:  Regul Toxicol Pharmacol       Date:  2021-10-28       Impact factor: 3.598

2.  Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients.

Authors:  Xueting Yao; Xiaoyu Yan; Xiaohan Wang; Ting Cai; Shun Zhang; Cheng Cui; Xiaoxu Wang; Zhe Hou; Qi Liu; Haiyan Li; Jing Lin; Zi Xiong; Dongyang Liu
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