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Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series
BACKGROUND: Vancomycin empiric therapy is commonly dosed using clinical algorithms adapted from population-predicted pharmacokinetic parameters. However, precise dosing of vancomycin can be designed using patient-specific pharmacokinetic calculations. OBJECTIVE: The objective of this study is to ass...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221031/ https://www.ncbi.nlm.nih.gov/pubmed/32166646 http://dx.doi.org/10.1007/s40268-020-00298-0 |
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author | Onor, IfeanyiChukwu O. Neuliep, Alison Tran, Kieu Anh Lambert, Jennifer Gillard, Christopher J. Brakta, Fatima Ezebuenyi, Michael C. St. James, Kirbie Okogbaa, John I. Beyl, Robbie A. |
author_facet | Onor, IfeanyiChukwu O. Neuliep, Alison Tran, Kieu Anh Lambert, Jennifer Gillard, Christopher J. Brakta, Fatima Ezebuenyi, Michael C. St. James, Kirbie Okogbaa, John I. Beyl, Robbie A. |
author_sort | Onor, IfeanyiChukwu O. |
collection | PubMed |
description | BACKGROUND: Vancomycin empiric therapy is commonly dosed using clinical algorithms adapted from population-predicted pharmacokinetic parameters. However, precise dosing of vancomycin can be designed using patient-specific pharmacokinetic calculations. OBJECTIVE: The objective of this study is to assess the correlational fit between vancomycin population-predicted and patient-specific pharmacokinetic parameters [elimination rate constant (K(e)) and half-life (t(1/2))] in a case series of adult hospitalized patients. METHODS: This is a single-center case series of hospitalized adult patients who received vancomycin, had creatinine clearance calculation for derivation of population-predicted pharmacokinetic parameters, and had two vancomycin concentrations for calculation of patient-specific pharmacokinetic parameters. The primary objective of this case series is to evaluate the correlation between population-predicted and patient-specific pharmacokinetic parameters. The secondary objectives of this study are to evaluate the mean bias and precision between the population-predicted and patient-specific pharmacokinetic parameters and to assess the correlation between population-predicted and patient-specific pharmacokinetic parameters in special population subgroups (obese patients with body mass index ≥ 30 kg/m(2) and patients with renal dysfunction). All correlation analyses were performed on the population-predicted pharmacokinetics using diverse methods of estimating renal function (Salazar–Corcoran and Cockcroft–Gault methods using either ideal, actual, or adjusted body weights). All significance testing was set at an α of < 0.05. IBM SPSS Statistics version 25 and SAS version 9.4 were used to conduct all statistical analyses. RESULTS: A total of 30 patients were included in the study; 33.3% (10/30) of the patients were obese and 56.7% (17/30) had renal dysfunction. In all patients in the study, the calculated population-predicted K(e) and t(1/2) using all four creatinine clearance estimation methods were each significantly correlated with patient-specific K(e) and t(1/2) (all Pearson correlation coefficients [r]: > + 0.7, p < 0.001). The population-predicted K(e) and t(1/2) calculated using Cockcroft–Gault creatinine clearance using adjusted body weight showed the strongest association with patient-specific K(e) and t(1/2). In the subgroup analyses, all the population-predicted K(e) and t(1/2) using four creatinine clearance estimation methods were each significantly correlated with patient-specific K(e) and t(1/2). The exception was the population-predicted t(1/2) derived from Cockcroft–Gault creatinine clearance using actual body weight that did not show a significant correlation with patient-specific t(1/2) in obese patients. CONCLUSIONS: In this case series, population-predicted pharmacokinetic parameters were strongly correlated with patient-specific pharmacokinetic parameters. The vancomycin population-predicted pharmacokinetic formula can be used safely to predict a patient’s vancomycin pharmacokinetic disposition and can be maintained as an empiric dosing strategy in various hospitalized adult patients. |
format | Online Article Text |
id | pubmed-7221031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-72210312020-05-15 Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series Onor, IfeanyiChukwu O. Neuliep, Alison Tran, Kieu Anh Lambert, Jennifer Gillard, Christopher J. Brakta, Fatima Ezebuenyi, Michael C. St. James, Kirbie Okogbaa, John I. Beyl, Robbie A. Drugs R D Original Research Article BACKGROUND: Vancomycin empiric therapy is commonly dosed using clinical algorithms adapted from population-predicted pharmacokinetic parameters. However, precise dosing of vancomycin can be designed using patient-specific pharmacokinetic calculations. OBJECTIVE: The objective of this study is to assess the correlational fit between vancomycin population-predicted and patient-specific pharmacokinetic parameters [elimination rate constant (K(e)) and half-life (t(1/2))] in a case series of adult hospitalized patients. METHODS: This is a single-center case series of hospitalized adult patients who received vancomycin, had creatinine clearance calculation for derivation of population-predicted pharmacokinetic parameters, and had two vancomycin concentrations for calculation of patient-specific pharmacokinetic parameters. The primary objective of this case series is to evaluate the correlation between population-predicted and patient-specific pharmacokinetic parameters. The secondary objectives of this study are to evaluate the mean bias and precision between the population-predicted and patient-specific pharmacokinetic parameters and to assess the correlation between population-predicted and patient-specific pharmacokinetic parameters in special population subgroups (obese patients with body mass index ≥ 30 kg/m(2) and patients with renal dysfunction). All correlation analyses were performed on the population-predicted pharmacokinetics using diverse methods of estimating renal function (Salazar–Corcoran and Cockcroft–Gault methods using either ideal, actual, or adjusted body weights). All significance testing was set at an α of < 0.05. IBM SPSS Statistics version 25 and SAS version 9.4 were used to conduct all statistical analyses. RESULTS: A total of 30 patients were included in the study; 33.3% (10/30) of the patients were obese and 56.7% (17/30) had renal dysfunction. In all patients in the study, the calculated population-predicted K(e) and t(1/2) using all four creatinine clearance estimation methods were each significantly correlated with patient-specific K(e) and t(1/2) (all Pearson correlation coefficients [r]: > + 0.7, p < 0.001). The population-predicted K(e) and t(1/2) calculated using Cockcroft–Gault creatinine clearance using adjusted body weight showed the strongest association with patient-specific K(e) and t(1/2). In the subgroup analyses, all the population-predicted K(e) and t(1/2) using four creatinine clearance estimation methods were each significantly correlated with patient-specific K(e) and t(1/2). The exception was the population-predicted t(1/2) derived from Cockcroft–Gault creatinine clearance using actual body weight that did not show a significant correlation with patient-specific t(1/2) in obese patients. CONCLUSIONS: In this case series, population-predicted pharmacokinetic parameters were strongly correlated with patient-specific pharmacokinetic parameters. The vancomycin population-predicted pharmacokinetic formula can be used safely to predict a patient’s vancomycin pharmacokinetic disposition and can be maintained as an empiric dosing strategy in various hospitalized adult patients. Springer International Publishing 2020-03-12 2020-06 /pmc/articles/PMC7221031/ /pubmed/32166646 http://dx.doi.org/10.1007/s40268-020-00298-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Article Onor, IfeanyiChukwu O. Neuliep, Alison Tran, Kieu Anh Lambert, Jennifer Gillard, Christopher J. Brakta, Fatima Ezebuenyi, Michael C. St. James, Kirbie Okogbaa, John I. Beyl, Robbie A. Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series |
title | Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series |
title_full | Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series |
title_fullStr | Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series |
title_full_unstemmed | Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series |
title_short | Concordance of Vancomycin Population-Predicted Pharmacokinetics with Patient-Specific Pharmacokinetics in Adult Hospitalized Patients: A Case Series |
title_sort | concordance of vancomycin population-predicted pharmacokinetics with patient-specific pharmacokinetics in adult hospitalized patients: a case series |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221031/ https://www.ncbi.nlm.nih.gov/pubmed/32166646 http://dx.doi.org/10.1007/s40268-020-00298-0 |
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