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Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation

OBJECTIVE: Many hematopoietic stem cell transplantation (HSCT) patients receive vancomycin empirically during febrile neutropenia. There are several models for estimation of vancomycin pharmacokinetic parameters and calculation of initial dosing regimen accordingly. However, the performance of these...

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Autores principales: Taghizadeh-Ghehi, Maryam, Rezaee, Saeed, Gholami, Kheirollah, Hadjibabaie, Molouk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548431/
https://www.ncbi.nlm.nih.gov/pubmed/26311080
http://dx.doi.org/10.4103/2279-042X.162357
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author Taghizadeh-Ghehi, Maryam
Rezaee, Saeed
Gholami, Kheirollah
Hadjibabaie, Molouk
author_facet Taghizadeh-Ghehi, Maryam
Rezaee, Saeed
Gholami, Kheirollah
Hadjibabaie, Molouk
author_sort Taghizadeh-Ghehi, Maryam
collection PubMed
description OBJECTIVE: Many hematopoietic stem cell transplantation (HSCT) patients receive vancomycin empirically during febrile neutropenia. There are several models for estimation of vancomycin pharmacokinetic parameters and calculation of initial dosing regimen accordingly. However, the performance of these methods in HSCT patients remained to be evaluated. The aim of the study was to determine which of the vancomycin population pharmacokinetic methods best fit Iranian HSCT patients. METHODS: In order to evaluate predicted performance of seven vancomycin population pharmacokinetic models, the pharmacokinetic parameters of patients were estimated using each model's equations. Then the predicted steady-state trough vancomycin concentration was calculated based on each model's parameters and using a formula based on Sawchuk–Zaske method. The predicted steady-state trough vancomycin concentration and the real measured concentrations were compared to see which method was the most precise and least biased using mean squared error (MSE) and mean prediction error (ME) respectively. FINDINGS: Forty-six patients (65% men) were included in the study. Calculated metrics showed a range of 38% under-prediction bias with Rodvold to 34% over-prediction bias with Matzke and Burton models. Birt and revised Burton methods showed no significant bias (ME [95% confidence interval (CI)]: –0.067 [–0.235–0.101] and 0.066 [–0.105–0.238]). Birt and revised Burton were not different significantly considering MSE (95% CI) of 0.385 (0.227–0.544) and 0.401 (0.255–0.546), respectively. Comparisons of precision with naive predictors revealed a delta MSE (95% CI) of –0.128 (–1.379–1.890) for Birt and 0.026 (–0.596–0.940) for revised Burton models. CONCLUSION: Although the Birt and Burton revised methods performed well, none of the studied models showed acceptable performance to be implemented as a routine method for initial dose calculation in HSCT patients. A vancomycin pharmacokinetic model specific for this high-risk subpopulation of Iranian patients should be designed and validated.
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spelling pubmed-45484312015-08-26 Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation Taghizadeh-Ghehi, Maryam Rezaee, Saeed Gholami, Kheirollah Hadjibabaie, Molouk J Res Pharm Pract Original Article OBJECTIVE: Many hematopoietic stem cell transplantation (HSCT) patients receive vancomycin empirically during febrile neutropenia. There are several models for estimation of vancomycin pharmacokinetic parameters and calculation of initial dosing regimen accordingly. However, the performance of these methods in HSCT patients remained to be evaluated. The aim of the study was to determine which of the vancomycin population pharmacokinetic methods best fit Iranian HSCT patients. METHODS: In order to evaluate predicted performance of seven vancomycin population pharmacokinetic models, the pharmacokinetic parameters of patients were estimated using each model's equations. Then the predicted steady-state trough vancomycin concentration was calculated based on each model's parameters and using a formula based on Sawchuk–Zaske method. The predicted steady-state trough vancomycin concentration and the real measured concentrations were compared to see which method was the most precise and least biased using mean squared error (MSE) and mean prediction error (ME) respectively. FINDINGS: Forty-six patients (65% men) were included in the study. Calculated metrics showed a range of 38% under-prediction bias with Rodvold to 34% over-prediction bias with Matzke and Burton models. Birt and revised Burton methods showed no significant bias (ME [95% confidence interval (CI)]: –0.067 [–0.235–0.101] and 0.066 [–0.105–0.238]). Birt and revised Burton were not different significantly considering MSE (95% CI) of 0.385 (0.227–0.544) and 0.401 (0.255–0.546), respectively. Comparisons of precision with naive predictors revealed a delta MSE (95% CI) of –0.128 (–1.379–1.890) for Birt and 0.026 (–0.596–0.940) for revised Burton models. CONCLUSION: Although the Birt and Burton revised methods performed well, none of the studied models showed acceptable performance to be implemented as a routine method for initial dose calculation in HSCT patients. A vancomycin pharmacokinetic model specific for this high-risk subpopulation of Iranian patients should be designed and validated. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4548431/ /pubmed/26311080 http://dx.doi.org/10.4103/2279-042X.162357 Text en Copyright: © Journal of Research in Pharmacy Practice http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Taghizadeh-Ghehi, Maryam
Rezaee, Saeed
Gholami, Kheirollah
Hadjibabaie, Molouk
Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation
title Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation
title_full Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation
title_fullStr Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation
title_full_unstemmed Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation
title_short Predictive performance of Vancomycin population pharmacokinetic models in Iranian patients underwent hematopoietic stem cell transplantation
title_sort predictive performance of vancomycin population pharmacokinetic models in iranian patients underwent hematopoietic stem cell transplantation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548431/
https://www.ncbi.nlm.nih.gov/pubmed/26311080
http://dx.doi.org/10.4103/2279-042X.162357
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