Cargando…
Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis
Creatinine clearance (CCr) and pharmacokinetic parameters are markedly affected by pathophysiological changes in patients with sepsis. However, only a few reports have assessed renal function in patients with sepsis using the measured CCr. Furthermore, the administration regimen has not been suffici...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Therapeutic Drug Monitoring
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168112/ https://www.ncbi.nlm.nih.gov/pubmed/36253888 http://dx.doi.org/10.1097/FTD.0000000000001040 |
_version_ | 1785038805033549824 |
---|---|
author | Fukumoto, Shiori Ohbayashi, Masayuki Okada, Akira Kohyama, Noriko Tamatsukuri, Tatsuro Inoue, Hideki Kato, Akihito Kotani, Toru Sagara, Hironori Dohi, Kenji Kogo, Mari |
author_facet | Fukumoto, Shiori Ohbayashi, Masayuki Okada, Akira Kohyama, Noriko Tamatsukuri, Tatsuro Inoue, Hideki Kato, Akihito Kotani, Toru Sagara, Hironori Dohi, Kenji Kogo, Mari |
author_sort | Fukumoto, Shiori |
collection | PubMed |
description | Creatinine clearance (CCr) and pharmacokinetic parameters are markedly affected by pathophysiological changes in patients with sepsis. However, only a few reports have assessed renal function in patients with sepsis using the measured CCr. Furthermore, the administration regimen has not been sufficiently evaluated using a population PK (PPK) model across renal function broad ranges. Therefore, this study was performed to construct a meropenem PPK model for patients with sepsis using the measured CCr and evaluate the optimized meropenem dosing regimen based on the CCr. METHODS: Patients with sepsis who received intravenous meropenem at the Showa University Hospital were enrolled in this prospective observational study. The PPK model was constructed using blood samples and clinical information of patients. The probability of target attainment (PTA) indicates the likelihood of achieving 50% time above the minimum inhibitory concentration (% T > MIC) based on 10,000 virtual patients using Monte Carlo simulations. The PTA for each meropenem regimen was 50% T > MIC based on different renal functions using the Monte Carlo simulation. RESULTS: One hundred samples were collected from 31 patients. The final PPK model incorporating the measured CCr as a covariate in CL displayed the best fit. The recommended dosing regimen to achieve a PTA of 50% T > MIC of 4 mcg/mL was 1 g every 8 hours as a 3-hour prolonged infusion for patients with CCr 85–130 mL/min and 1 g every 8 hours as an 8-hour continuous infusion for patients with CCr ≥ 130 mL/min. CONCLUSIONS: This model precisely predicted meropenem concentrations in patients with sepsis by accurately evaluating renal function using the measured CCr. Extended dosing was demonstrated to be necessary to achieve a PTA of 50% T > MIC for patients with CCr ≥ 85 mL/min. Meropenem effectiveness can be maximized in patients with sepsis by selecting the appropriate dosing regimen based on renal function and the MIC. |
format | Online Article Text |
id | pubmed-10168112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Therapeutic Drug Monitoring |
record_format | MEDLINE/PubMed |
spelling | pubmed-101681122023-05-10 Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis Fukumoto, Shiori Ohbayashi, Masayuki Okada, Akira Kohyama, Noriko Tamatsukuri, Tatsuro Inoue, Hideki Kato, Akihito Kotani, Toru Sagara, Hironori Dohi, Kenji Kogo, Mari Ther Drug Monit Original Article Creatinine clearance (CCr) and pharmacokinetic parameters are markedly affected by pathophysiological changes in patients with sepsis. However, only a few reports have assessed renal function in patients with sepsis using the measured CCr. Furthermore, the administration regimen has not been sufficiently evaluated using a population PK (PPK) model across renal function broad ranges. Therefore, this study was performed to construct a meropenem PPK model for patients with sepsis using the measured CCr and evaluate the optimized meropenem dosing regimen based on the CCr. METHODS: Patients with sepsis who received intravenous meropenem at the Showa University Hospital were enrolled in this prospective observational study. The PPK model was constructed using blood samples and clinical information of patients. The probability of target attainment (PTA) indicates the likelihood of achieving 50% time above the minimum inhibitory concentration (% T > MIC) based on 10,000 virtual patients using Monte Carlo simulations. The PTA for each meropenem regimen was 50% T > MIC based on different renal functions using the Monte Carlo simulation. RESULTS: One hundred samples were collected from 31 patients. The final PPK model incorporating the measured CCr as a covariate in CL displayed the best fit. The recommended dosing regimen to achieve a PTA of 50% T > MIC of 4 mcg/mL was 1 g every 8 hours as a 3-hour prolonged infusion for patients with CCr 85–130 mL/min and 1 g every 8 hours as an 8-hour continuous infusion for patients with CCr ≥ 130 mL/min. CONCLUSIONS: This model precisely predicted meropenem concentrations in patients with sepsis by accurately evaluating renal function using the measured CCr. Extended dosing was demonstrated to be necessary to achieve a PTA of 50% T > MIC for patients with CCr ≥ 85 mL/min. Meropenem effectiveness can be maximized in patients with sepsis by selecting the appropriate dosing regimen based on renal function and the MIC. Therapeutic Drug Monitoring 2023-06 2023-05-08 /pmc/articles/PMC10168112/ /pubmed/36253888 http://dx.doi.org/10.1097/FTD.0000000000001040 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Article Fukumoto, Shiori Ohbayashi, Masayuki Okada, Akira Kohyama, Noriko Tamatsukuri, Tatsuro Inoue, Hideki Kato, Akihito Kotani, Toru Sagara, Hironori Dohi, Kenji Kogo, Mari Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis |
title | Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis |
title_full | Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis |
title_fullStr | Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis |
title_full_unstemmed | Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis |
title_short | Population Pharmacokinetic Model and Dosing Simulation of Meropenem Using Measured Creatinine Clearance for Patients with Sepsis |
title_sort | population pharmacokinetic model and dosing simulation of meropenem using measured creatinine clearance for patients with sepsis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168112/ https://www.ncbi.nlm.nih.gov/pubmed/36253888 http://dx.doi.org/10.1097/FTD.0000000000001040 |
work_keys_str_mv | AT fukumotoshiori populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT ohbayashimasayuki populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT okadaakira populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT kohyamanoriko populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT tamatsukuritatsuro populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT inouehideki populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT katoakihito populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT kotanitoru populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT sagarahironori populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT dohikenji populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis AT kogomari populationpharmacokineticmodelanddosingsimulationofmeropenemusingmeasuredcreatinineclearanceforpatientswithsepsis |