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1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population

BACKGROUND: Accurate dosing of vancomycin is difficult due to high inter-individual variability of vancomycin pharmacokinetics (PK), and is particularly challenging in obese patients. Vancomycin is hydrophilic, yet total body weight (TBW) has traditionally been used for dosing in the general populat...

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Autores principales: Sabourenkov, Paul E, McLeay, Robert C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809389/
http://dx.doi.org/10.1093/ofid/ofz360.1438
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author Sabourenkov, Paul E
McLeay, Robert C
author_facet Sabourenkov, Paul E
McLeay, Robert C
author_sort Sabourenkov, Paul E
collection PubMed
description BACKGROUND: Accurate dosing of vancomycin is difficult due to high inter-individual variability of vancomycin pharmacokinetics (PK), and is particularly challenging in obese patients. Vancomycin is hydrophilic, yet total body weight (TBW) has traditionally been used for dosing in the general population, and also into the obese population. The aim of this study was to evaluate the performance of published vancomycin PK models in a large set of routine clinical data obtained from an obese population. METHODS: De-identified data were available from 1717 courses of vancomycin administered to obese adults (BMI ≥ 30) from hospitals across the United States, EU, and Australia. Three population PK models, Buelga et al. (2005), Goti et al. (2018), and an obese-specific model, Adane et al. (2015), were used to predict plasma concentrations at the time of each recorded vancomycin assay, and their accuracy and bias were compared. Goodness of fit at both the population and individual level was assessed, and elastic net regression was used to identify any sources of predictive error in the obese-specific model. Model parameters for each model were then re-estimated, and a variety of body size metrics were evaluated. RESULTS: The Buelga et al. one-compartment model had the best predictive ability (Table 1). In all models, bias (calculated as MME; mean per-patient mean predictive error) by obesity class was observed at both the population and individual levels, and unexpectedly was largest in the obese-specific model. In the obese-specific model, predictive error correlated with the use of TBW as a model covariate. A set of models derived from Adane et al. model were then developed to correct for weight. Using ideal body weight (IBW) on Vd and no correction for weight on CL provided the best fit. The derived model accounted for 81% of variance in plasma concentration and exhibited negligible bias by obesity class (population MME = -0.75 (i), -0.06 (ii), and -0.50 (iii) mg/L; individual MME = −0.20 (i), −0.02 (ii), and −0.02 (iii) mg/L). CONCLUSION: Existing vancomycin population PK models for use in the obese population are biased in higher obesity classes due to the use of total body weight. A novel population PK model developed using ideal body weight exhibits negligible bias across obesity classes as well as improved predictive ability. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68093892019-10-28 1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population Sabourenkov, Paul E McLeay, Robert C Open Forum Infect Dis Abstracts BACKGROUND: Accurate dosing of vancomycin is difficult due to high inter-individual variability of vancomycin pharmacokinetics (PK), and is particularly challenging in obese patients. Vancomycin is hydrophilic, yet total body weight (TBW) has traditionally been used for dosing in the general population, and also into the obese population. The aim of this study was to evaluate the performance of published vancomycin PK models in a large set of routine clinical data obtained from an obese population. METHODS: De-identified data were available from 1717 courses of vancomycin administered to obese adults (BMI ≥ 30) from hospitals across the United States, EU, and Australia. Three population PK models, Buelga et al. (2005), Goti et al. (2018), and an obese-specific model, Adane et al. (2015), were used to predict plasma concentrations at the time of each recorded vancomycin assay, and their accuracy and bias were compared. Goodness of fit at both the population and individual level was assessed, and elastic net regression was used to identify any sources of predictive error in the obese-specific model. Model parameters for each model were then re-estimated, and a variety of body size metrics were evaluated. RESULTS: The Buelga et al. one-compartment model had the best predictive ability (Table 1). In all models, bias (calculated as MME; mean per-patient mean predictive error) by obesity class was observed at both the population and individual levels, and unexpectedly was largest in the obese-specific model. In the obese-specific model, predictive error correlated with the use of TBW as a model covariate. A set of models derived from Adane et al. model were then developed to correct for weight. Using ideal body weight (IBW) on Vd and no correction for weight on CL provided the best fit. The derived model accounted for 81% of variance in plasma concentration and exhibited negligible bias by obesity class (population MME = -0.75 (i), -0.06 (ii), and -0.50 (iii) mg/L; individual MME = −0.20 (i), −0.02 (ii), and −0.02 (iii) mg/L). CONCLUSION: Existing vancomycin population PK models for use in the obese population are biased in higher obesity classes due to the use of total body weight. A novel population PK model developed using ideal body weight exhibits negligible bias across obesity classes as well as improved predictive ability. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809389/ http://dx.doi.org/10.1093/ofid/ofz360.1438 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Sabourenkov, Paul E
McLeay, Robert C
1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population
title 1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population
title_full 1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population
title_fullStr 1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population
title_full_unstemmed 1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population
title_short 1574. Predictive Ability and Bias of Vancomycin Population PK Models in an Obese Adult Population
title_sort 1574. predictive ability and bias of vancomycin population pk models in an obese adult population
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809389/
http://dx.doi.org/10.1093/ofid/ofz360.1438
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