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Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?

The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in...

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Autores principales: Li, Letao, Sassen, Sebastiaan D. T., Ewoldt, Tim M. J., Abdulla, Alan, Hunfeld, Nicole G. M., Muller, Anouk E., de Winter, Brenda C. M., Endeman, Henrik, Koch, Birgit C. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951903/
https://www.ncbi.nlm.nih.gov/pubmed/36830294
http://dx.doi.org/10.3390/antibiotics12020383
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author Li, Letao
Sassen, Sebastiaan D. T.
Ewoldt, Tim M. J.
Abdulla, Alan
Hunfeld, Nicole G. M.
Muller, Anouk E.
de Winter, Brenda C. M.
Endeman, Henrik
Koch, Birgit C. P.
author_facet Li, Letao
Sassen, Sebastiaan D. T.
Ewoldt, Tim M. J.
Abdulla, Alan
Hunfeld, Nicole G. M.
Muller, Anouk E.
de Winter, Brenda C. M.
Endeman, Henrik
Koch, Birgit C. P.
author_sort Li, Letao
collection PubMed
description The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations.
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spelling pubmed-99519032023-02-25 Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It? Li, Letao Sassen, Sebastiaan D. T. Ewoldt, Tim M. J. Abdulla, Alan Hunfeld, Nicole G. M. Muller, Anouk E. de Winter, Brenda C. M. Endeman, Henrik Koch, Birgit C. P. Antibiotics (Basel) Article The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations. MDPI 2023-02-13 /pmc/articles/PMC9951903/ /pubmed/36830294 http://dx.doi.org/10.3390/antibiotics12020383 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Letao
Sassen, Sebastiaan D. T.
Ewoldt, Tim M. J.
Abdulla, Alan
Hunfeld, Nicole G. M.
Muller, Anouk E.
de Winter, Brenda C. M.
Endeman, Henrik
Koch, Birgit C. P.
Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
title Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
title_full Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
title_fullStr Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
title_full_unstemmed Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
title_short Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?
title_sort meropenem model-informed precision dosing in the treatment of critically ill patients: can we use it?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951903/
https://www.ncbi.nlm.nih.gov/pubmed/36830294
http://dx.doi.org/10.3390/antibiotics12020383
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