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Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation

INTRODUCTION: The use of once daily dosing of aminoglycosides in pediatrics is increasing but studies on dose optimization targeting the pediatric population are limited. This study aimed to derive a population pharmacokinetic model of gentamicin and apply it to design optimal dosing regimens in ped...

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Autores principales: Ghoneim, Ragia H., Thabit, Abrar K., Lashkar, Manar O., Ali, Ahmed S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343923/
https://www.ncbi.nlm.nih.gov/pubmed/34362436
http://dx.doi.org/10.1186/s13052-021-01114-4
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author Ghoneim, Ragia H.
Thabit, Abrar K.
Lashkar, Manar O.
Ali, Ahmed S.
author_facet Ghoneim, Ragia H.
Thabit, Abrar K.
Lashkar, Manar O.
Ali, Ahmed S.
author_sort Ghoneim, Ragia H.
collection PubMed
description INTRODUCTION: The use of once daily dosing of aminoglycosides in pediatrics is increasing but studies on dose optimization targeting the pediatric population are limited. This study aimed to derive a population pharmacokinetic model of gentamicin and apply it to design optimal dosing regimens in pediatrics. METHODS: Population pharmacokinetics of gentamicin in pediatrics was described from a retrospective chart review of plasma gentamicin concentration data (peak/ trough levels) of pediatric patients (1 month − 12 years), admitted to non-critically ill pediatrics. Monte Carlo simulations were performed on the resulting pharmacokinetic model to assess the probability of achieving a C(max)/MIC target of 10 mg/L over a range of gentamicin MICs of 0.5–2 mg/L and once daily gentamicin dosing regimens. Results: A two-compartment model with additive residual error best described the model with weight incorporated as a significant covariate for both clearance and volume of distribution. Monte Carlo simulations demonstrated a good probability of target attainment even at a MIC of 2 mg/L, where neonates required doses of 6-7 mg/kg/day and older pediatrics required lower daily doses of 4–5 mg/kg/day while maintaining trough gentamicin concentration below the toxicity limit of 1 mg/L. Conclusion: Once daily dosing is a reasonable option in pediatrics that allows target attainment while maintaining trough gentamicin level below the limits of toxicity.
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spelling pubmed-83439232021-08-09 Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation Ghoneim, Ragia H. Thabit, Abrar K. Lashkar, Manar O. Ali, Ahmed S. Ital J Pediatr Research INTRODUCTION: The use of once daily dosing of aminoglycosides in pediatrics is increasing but studies on dose optimization targeting the pediatric population are limited. This study aimed to derive a population pharmacokinetic model of gentamicin and apply it to design optimal dosing regimens in pediatrics. METHODS: Population pharmacokinetics of gentamicin in pediatrics was described from a retrospective chart review of plasma gentamicin concentration data (peak/ trough levels) of pediatric patients (1 month − 12 years), admitted to non-critically ill pediatrics. Monte Carlo simulations were performed on the resulting pharmacokinetic model to assess the probability of achieving a C(max)/MIC target of 10 mg/L over a range of gentamicin MICs of 0.5–2 mg/L and once daily gentamicin dosing regimens. Results: A two-compartment model with additive residual error best described the model with weight incorporated as a significant covariate for both clearance and volume of distribution. Monte Carlo simulations demonstrated a good probability of target attainment even at a MIC of 2 mg/L, where neonates required doses of 6-7 mg/kg/day and older pediatrics required lower daily doses of 4–5 mg/kg/day while maintaining trough gentamicin concentration below the toxicity limit of 1 mg/L. Conclusion: Once daily dosing is a reasonable option in pediatrics that allows target attainment while maintaining trough gentamicin level below the limits of toxicity. BioMed Central 2021-08-06 /pmc/articles/PMC8343923/ /pubmed/34362436 http://dx.doi.org/10.1186/s13052-021-01114-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ghoneim, Ragia H.
Thabit, Abrar K.
Lashkar, Manar O.
Ali, Ahmed S.
Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation
title Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation
title_full Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation
title_fullStr Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation
title_full_unstemmed Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation
title_short Optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and Monte Carlo simulation
title_sort optimizing gentamicin dosing in different pediatric age groups using population pharmacokinetics and monte carlo simulation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343923/
https://www.ncbi.nlm.nih.gov/pubmed/34362436
http://dx.doi.org/10.1186/s13052-021-01114-4
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