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Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model
Although posaconazole tablets show relatively low variability in pharmacokinetics (PK), the proportion of patients achieving the PK/PD target at the approved uniform dose for both prophylaxis and therapy is not satisfactory. The aim of this study was to develop a posaconazole population PK model in...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525625/ https://www.ncbi.nlm.nih.gov/pubmed/37760696 http://dx.doi.org/10.3390/antibiotics12091399 |
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author | Dvořáčková, Eliška Šíma, Martin Zajacová, Andrea Vyskočilová, Kristýna Kotowski, Tereza Dunovská, Kateřina Klapková, Eva Havlín, Jan Lischke, Robert Slanař, Ondřej |
author_facet | Dvořáčková, Eliška Šíma, Martin Zajacová, Andrea Vyskočilová, Kristýna Kotowski, Tereza Dunovská, Kateřina Klapková, Eva Havlín, Jan Lischke, Robert Slanař, Ondřej |
author_sort | Dvořáčková, Eliška |
collection | PubMed |
description | Although posaconazole tablets show relatively low variability in pharmacokinetics (PK), the proportion of patients achieving the PK/PD target at the approved uniform dose for both prophylaxis and therapy is not satisfactory. The aim of this study was to develop a posaconazole population PK model in lung-transplant recipients and to propose a covariate-based dosing optimization for both prophylaxis and therapy. In this prospective study, 80 posaconazole concentrations obtained from 32 lung-transplant patients during therapeutic drug monitoring were analyzed using nonlinear mixed-effects modelling, and a Monte Carlo simulation was used to describe the theoretical distribution of posaconazole PK profiles at various dosing regimens. A one-compartment model with both linear absorption and elimination best fit the concentration–time data. The population apparent volume of distribution was 386.4 L, while an apparent clearance of 8.8 L/h decreased by 0.009 L/h with each year of the patient’s age. Based on the covariate model, a dosing regimen of 200 mg/day for prophylaxis in patients ˃60 years, 300 mg/day for prophylaxis in patients ˂60 years and for therapy in patients ˃60 years, and 400 mg/day for therapy in patients ˂60 years has been proposed. At this dosing regimen, the PK/PD target for prophylaxis and therapy is reached in 95% and 90% of population, respectively, representing significantly improved outcomes in comparison with the uniform dose. |
format | Online Article Text |
id | pubmed-10525625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105256252023-09-28 Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model Dvořáčková, Eliška Šíma, Martin Zajacová, Andrea Vyskočilová, Kristýna Kotowski, Tereza Dunovská, Kateřina Klapková, Eva Havlín, Jan Lischke, Robert Slanař, Ondřej Antibiotics (Basel) Article Although posaconazole tablets show relatively low variability in pharmacokinetics (PK), the proportion of patients achieving the PK/PD target at the approved uniform dose for both prophylaxis and therapy is not satisfactory. The aim of this study was to develop a posaconazole population PK model in lung-transplant recipients and to propose a covariate-based dosing optimization for both prophylaxis and therapy. In this prospective study, 80 posaconazole concentrations obtained from 32 lung-transplant patients during therapeutic drug monitoring were analyzed using nonlinear mixed-effects modelling, and a Monte Carlo simulation was used to describe the theoretical distribution of posaconazole PK profiles at various dosing regimens. A one-compartment model with both linear absorption and elimination best fit the concentration–time data. The population apparent volume of distribution was 386.4 L, while an apparent clearance of 8.8 L/h decreased by 0.009 L/h with each year of the patient’s age. Based on the covariate model, a dosing regimen of 200 mg/day for prophylaxis in patients ˃60 years, 300 mg/day for prophylaxis in patients ˂60 years and for therapy in patients ˃60 years, and 400 mg/day for therapy in patients ˂60 years has been proposed. At this dosing regimen, the PK/PD target for prophylaxis and therapy is reached in 95% and 90% of population, respectively, representing significantly improved outcomes in comparison with the uniform dose. MDPI 2023-09-01 /pmc/articles/PMC10525625/ /pubmed/37760696 http://dx.doi.org/10.3390/antibiotics12091399 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 Dvořáčková, Eliška Šíma, Martin Zajacová, Andrea Vyskočilová, Kristýna Kotowski, Tereza Dunovská, Kateřina Klapková, Eva Havlín, Jan Lischke, Robert Slanař, Ondřej Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model |
title | Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model |
title_full | Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model |
title_fullStr | Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model |
title_full_unstemmed | Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model |
title_short | Dosing Optimization of Posaconazole in Lung-Transplant Recipients Based on Population Pharmacokinetic Model |
title_sort | dosing optimization of posaconazole in lung-transplant recipients based on population pharmacokinetic model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525625/ https://www.ncbi.nlm.nih.gov/pubmed/37760696 http://dx.doi.org/10.3390/antibiotics12091399 |
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