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Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime

BACKGROUND AND OBJECTIVE: Understanding pharmacokinetic disposition of cefepime, a β-lactam antibiotic, is crucial for developing regimens to achieve optimal exposure and improved clinical outcomes. This study sought to develop and evaluate a unified population pharmacokinetic model in both pediatri...

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Autores principales: Liu, Jiajun, Neely, Michael, Lipman, Jeffrey, Sime, Fekade, Roberts, Jason A., Kiel, Patrick J., Avedissian, Sean N., Rhodes, Nathaniel J., Scheetz, Marc H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222999/
https://www.ncbi.nlm.nih.gov/pubmed/32140940
http://dx.doi.org/10.1007/s40262-020-00873-3
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author Liu, Jiajun
Neely, Michael
Lipman, Jeffrey
Sime, Fekade
Roberts, Jason A.
Kiel, Patrick J.
Avedissian, Sean N.
Rhodes, Nathaniel J.
Scheetz, Marc H.
author_facet Liu, Jiajun
Neely, Michael
Lipman, Jeffrey
Sime, Fekade
Roberts, Jason A.
Kiel, Patrick J.
Avedissian, Sean N.
Rhodes, Nathaniel J.
Scheetz, Marc H.
author_sort Liu, Jiajun
collection PubMed
description BACKGROUND AND OBJECTIVE: Understanding pharmacokinetic disposition of cefepime, a β-lactam antibiotic, is crucial for developing regimens to achieve optimal exposure and improved clinical outcomes. This study sought to develop and evaluate a unified population pharmacokinetic model in both pediatric and adult patients receiving cefepime treatment. METHODS: Multiple physiologically relevant models were fit to pediatric and adult subject data. To evaluate the final model performance, a withheld group of 12 pediatric patients and two separate adult populations were assessed. RESULTS: Seventy subjects with a total of 604 cefepime concentrations were included in this study. All adults (n = 34) on average weighed 82.7 kg and displayed a mean creatinine clearance of 106.7 mL/min. All pediatric subjects (n = 36) had mean weight and creatinine clearance of 16.0 kg and 195.6 mL/min, respectively. A covariate-adjusted two-compartment model described the observed concentrations well (population model R(2), 87.0%; Bayesian model R(2), 96.5%). In the evaluation subsets, the model performed similarly well (population R(2), 84.0%; Bayesian R(2), 90.2%). CONCLUSION: The identified model serves well for population dosing and as a Bayesian prior for precision dosing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40262-020-00873-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-72229992020-05-15 Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime Liu, Jiajun Neely, Michael Lipman, Jeffrey Sime, Fekade Roberts, Jason A. Kiel, Patrick J. Avedissian, Sean N. Rhodes, Nathaniel J. Scheetz, Marc H. Clin Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVE: Understanding pharmacokinetic disposition of cefepime, a β-lactam antibiotic, is crucial for developing regimens to achieve optimal exposure and improved clinical outcomes. This study sought to develop and evaluate a unified population pharmacokinetic model in both pediatric and adult patients receiving cefepime treatment. METHODS: Multiple physiologically relevant models were fit to pediatric and adult subject data. To evaluate the final model performance, a withheld group of 12 pediatric patients and two separate adult populations were assessed. RESULTS: Seventy subjects with a total of 604 cefepime concentrations were included in this study. All adults (n = 34) on average weighed 82.7 kg and displayed a mean creatinine clearance of 106.7 mL/min. All pediatric subjects (n = 36) had mean weight and creatinine clearance of 16.0 kg and 195.6 mL/min, respectively. A covariate-adjusted two-compartment model described the observed concentrations well (population model R(2), 87.0%; Bayesian model R(2), 96.5%). In the evaluation subsets, the model performed similarly well (population R(2), 84.0%; Bayesian R(2), 90.2%). CONCLUSION: The identified model serves well for population dosing and as a Bayesian prior for precision dosing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40262-020-00873-3) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-03-05 2020 /pmc/articles/PMC7222999/ /pubmed/32140940 http://dx.doi.org/10.1007/s40262-020-00873-3 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research Article
Liu, Jiajun
Neely, Michael
Lipman, Jeffrey
Sime, Fekade
Roberts, Jason A.
Kiel, Patrick J.
Avedissian, Sean N.
Rhodes, Nathaniel J.
Scheetz, Marc H.
Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime
title Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime
title_full Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime
title_fullStr Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime
title_full_unstemmed Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime
title_short Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime
title_sort development of population and bayesian models for applied use in patients receiving cefepime
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222999/
https://www.ncbi.nlm.nih.gov/pubmed/32140940
http://dx.doi.org/10.1007/s40262-020-00873-3
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