Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach

Detalhes bibliográficos
Autor(a) principal: Silveira, Anna Luísa
Data de Publicação: 2022
Outros Autores: Silva Alves, Geisa Cristina, Xie, Jiao, Roberts, Jason, Sanches, Cristina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Pharmaceutical Sciences
Texto Completo: https://www.revistas.usp.br/bjps/article/view/204871
Resumo: To analyze microbiological effectiveness of vancomycin in children from a pediatric hospital through population pharmacokinetic modelling, as well as to propose dose adjustment, a cross- sectional study was performed in children under vancomycin treatment from the John Paul II Children’s Hospital, MG. In order to establish a model, concentrations versus time curves were analyzed using a population pharmacokinetic approach with Pmetrics®. Seventeen blood samples of 10 patients were collected. The best model to describe vancomycin population pharmacokinetic (PK) consisted of a two-compartment linear intravenous absorption model. The R² value and bias for population and individuals in observed versus predicted plot was 0.642 vs. 0.992 and the bias of 0.41 mg/L and 0.0778 mg/L, respectively. The covariables creatinine clearance, age, and body mass index were related to vancomycin PK. A relevant PK variability for vancomycin in pediatric patients was verified, which was significantly influenced by creatinine clearance, age, and body mass index. This result justifies the formulation of dosing recommendations for vancomycin in pediatric patients to achieve adequate pharmacodynamics targets.
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spelling Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric ApproachGlycopeptideVancomycinPharmacokineticsPharmacokinetic ModellingPediatricTo analyze microbiological effectiveness of vancomycin in children from a pediatric hospital through population pharmacokinetic modelling, as well as to propose dose adjustment, a cross- sectional study was performed in children under vancomycin treatment from the John Paul II Children’s Hospital, MG. In order to establish a model, concentrations versus time curves were analyzed using a population pharmacokinetic approach with Pmetrics®. Seventeen blood samples of 10 patients were collected. The best model to describe vancomycin population pharmacokinetic (PK) consisted of a two-compartment linear intravenous absorption model. The R² value and bias for population and individuals in observed versus predicted plot was 0.642 vs. 0.992 and the bias of 0.41 mg/L and 0.0778 mg/L, respectively. The covariables creatinine clearance, age, and body mass index were related to vancomycin PK. A relevant PK variability for vancomycin in pediatric patients was verified, which was significantly influenced by creatinine clearance, age, and body mass index. This result justifies the formulation of dosing recommendations for vancomycin in pediatric patients to achieve adequate pharmacodynamics targets.Universidade de São Paulo. Faculdade de Ciências Farmacêuticas2022-12-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/bjps/article/view/20487110.1590/s2175-97902020000X2e19313Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)Brazilian Journal of Pharmaceutical Sciences; v. 58 (2022)Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)2175-97901984-8250reponame:Brazilian Journal of Pharmaceutical Sciencesinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/bjps/article/view/204871/194521Copyright (c) 2022 Brazilian Journal of Pharmaceutical Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilveira, Anna LuísaSilva Alves, Geisa CristinaXie, JiaoRoberts, JasonSanches, Cristina2023-05-29T13:17:57Zoai:revistas.usp.br:article/204871Revistahttps://www.revistas.usp.br/bjps/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpbjps@usp.br||elizabeth.igne@gmail.com2175-97901984-8250opendoar:2023-05-29T13:17:57Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
title Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
spellingShingle Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
Silveira, Anna Luísa
Glycopeptide
Vancomycin
Pharmacokinetics
Pharmacokinetic Modelling
Pediatric
title_short Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
title_full Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
title_fullStr Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
title_full_unstemmed Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
title_sort Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
author Silveira, Anna Luísa
author_facet Silveira, Anna Luísa
Silva Alves, Geisa Cristina
Xie, Jiao
Roberts, Jason
Sanches, Cristina
author_role author
author2 Silva Alves, Geisa Cristina
Xie, Jiao
Roberts, Jason
Sanches, Cristina
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silveira, Anna Luísa
Silva Alves, Geisa Cristina
Xie, Jiao
Roberts, Jason
Sanches, Cristina
dc.subject.por.fl_str_mv Glycopeptide
Vancomycin
Pharmacokinetics
Pharmacokinetic Modelling
Pediatric
topic Glycopeptide
Vancomycin
Pharmacokinetics
Pharmacokinetic Modelling
Pediatric
description To analyze microbiological effectiveness of vancomycin in children from a pediatric hospital through population pharmacokinetic modelling, as well as to propose dose adjustment, a cross- sectional study was performed in children under vancomycin treatment from the John Paul II Children’s Hospital, MG. In order to establish a model, concentrations versus time curves were analyzed using a population pharmacokinetic approach with Pmetrics®. Seventeen blood samples of 10 patients were collected. The best model to describe vancomycin population pharmacokinetic (PK) consisted of a two-compartment linear intravenous absorption model. The R² value and bias for population and individuals in observed versus predicted plot was 0.642 vs. 0.992 and the bias of 0.41 mg/L and 0.0778 mg/L, respectively. The covariables creatinine clearance, age, and body mass index were related to vancomycin PK. A relevant PK variability for vancomycin in pediatric patients was verified, which was significantly influenced by creatinine clearance, age, and body mass index. This result justifies the formulation of dosing recommendations for vancomycin in pediatric patients to achieve adequate pharmacodynamics targets.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/bjps/article/view/204871
10.1590/s2175-97902020000X2e19313
url https://www.revistas.usp.br/bjps/article/view/204871
identifier_str_mv 10.1590/s2175-97902020000X2e19313
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/bjps/article/view/204871/194521
dc.rights.driver.fl_str_mv Copyright (c) 2022 Brazilian Journal of Pharmaceutical Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Brazilian Journal of Pharmaceutical Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Ciências Farmacêuticas
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Ciências Farmacêuticas
dc.source.none.fl_str_mv Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)
Brazilian Journal of Pharmaceutical Sciences; v. 58 (2022)
Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)
2175-9790
1984-8250
reponame:Brazilian Journal of Pharmaceutical Sciences
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Brazilian Journal of Pharmaceutical Sciences
collection Brazilian Journal of Pharmaceutical Sciences
repository.name.fl_str_mv Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)
repository.mail.fl_str_mv bjps@usp.br||elizabeth.igne@gmail.com
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