Vancomycin population pharmacokinetic modeling in children using Bayesian estimation and a Non Parametric Approach
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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Brazilian Journal of Pharmaceutical Sciences |
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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 |
_version_ |
1800222916489510912 |