Physiologically-based pharmacokinetic modelling and dosing evaluation of gentamicin in neonates using PhysPK
Each year, infections caused around the 25% of neonatal deaths. Early empirical treatments help to reduce this mortality, although optimized dosing regimens are still lacking. The aims were to develop and validate a gentamicin physiologically-based pharmacokinetic (PBPK) model and then potentially e...
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Published in | Frontiers in pharmacology Vol. 13; p. 977372 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
28.09.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1663-9812 1663-9812 |
DOI | 10.3389/fphar.2022.977372 |
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Summary: | Each year, infections caused around the 25% of neonatal deaths. Early empirical treatments help to reduce this mortality, although optimized dosing regimens are still lacking. The aims were to develop and validate a gentamicin physiologically-based pharmacokinetic (PBPK) model and then potentially explore dosing regimens in neonates using pharmacokinetic and pharmacodynamic criteria. The PBPK model developed consisted of 2 flow-limited tissues: kidney and other tissues. It has been implemented on a new tool called PhysPK, which allows structure reusability and evolution as predictive engine in Model-Informed Precision Dosing (MIPD). Retrospective pharmacokinetic information based on serum levels data from 47 neonates with gestational age between 32 and 39 weeks and younger than one-week postnatal age were used for model validation. The minimal PBPK model developed adequately described the gentamicin serum concentration-time profile with an average fold error nearly 1. Extended interval gentamicin dosing regimens (6 mg/kg q36h and 6 mg/kg q48h for term and preterm neonates, respectively) showed efficacy higher than 99% with toxicity lower than 10% through Monte Carlo simulation evaluations. The gentamicin minimal PBPK model developed in PhysPK from literature information, and validated in preterm and term neonates, presents adequate predictive performance and could be useful for MIPD strategies in neonates. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Fan Yang, Henan University of Science and Technology, China Edited by: Victor Mangas Sanjuan, University of Valencia, Spain Belen Perez Solans, University of California, San Francisco, United States These authors have contributed equally to this work and share last authorship This article was submitted to Translational Pharmacology, a section of the journal Frontiers in Pharmacology |
ISSN: | 1663-9812 1663-9812 |
DOI: | 10.3389/fphar.2022.977372 |