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CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation
PURPOSE: Liver transplantation is the treatment of choice for patients with end-stage liver disease. Due to the between- and within-individual pharmacokinetic variability in tacrolimus, used to prevent rejection after transplantation, it is difficult to predict the dose needed achieve the target lev...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207397/ https://www.ncbi.nlm.nih.gov/pubmed/30498355 http://dx.doi.org/10.2147/TCRM.S184376 |
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author | Ji, Eunhee Kim, Myeong gyu Oh, Jung Mi |
author_facet | Ji, Eunhee Kim, Myeong gyu Oh, Jung Mi |
author_sort | Ji, Eunhee |
collection | PubMed |
description | PURPOSE: Liver transplantation is the treatment of choice for patients with end-stage liver disease. Due to the between- and within-individual pharmacokinetic variability in tacrolimus, used to prevent rejection after transplantation, it is difficult to predict the dose needed achieve the target levels in the blood. This study aimed to construct a population pharmacokinetic model of tacrolimus dosage prediction for therapeutic drug monitoring in clinical settings for Korean adult patients receiving living donor liver transplantation (LDLT). METHODS: A total of 58 Korean adult patients receiving LDLT with tacrolimus administration were enrolled. Demographic, clinical, and CYP3A5*1/*3 polymorphism data were collected. Population pharmacokinetic modeling of tacrolimus during the first 14 days after transplantation was performed using NONMEM program. Parameters were estimated by the first-order conditional estimation with interaction method. The internal validation of the final model was assessed by the bootstrap and visual predictive check methods using 500 samples from the original data. RESULTS: One-compartmental model was selected as a base model. After the stepwise covariate model building process, postoperative day (POD) and combinational CYP3A5 genotype of the recipient and donor were incorporated into clearance (CL/F). The estimated typical values of CL/F and volume of distribution (V/F) were 6.33 L/h and 465 L, respectively. The final model was CL/F =6.33× POD(0.257)×2.314 (if CYP3A5 expresser recipient grafted from CYP3A5 expresser donor) ×1.523 (if CYP3A5 expresser recipient grafted from CYP3A5 nonexpresser donor) and V/F =465× POD(0.322). CONCLUSION: A population pharmacokinetic model for tacrolimus was established successfully in Korean adult patients receiving LDLT. This model is expected to contribute to improving patient outcomes by optimizing tacrolimus dose adjustment for liver transplant patients. |
format | Online Article Text |
id | pubmed-6207397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62073972018-11-29 CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation Ji, Eunhee Kim, Myeong gyu Oh, Jung Mi Ther Clin Risk Manag Original Research PURPOSE: Liver transplantation is the treatment of choice for patients with end-stage liver disease. Due to the between- and within-individual pharmacokinetic variability in tacrolimus, used to prevent rejection after transplantation, it is difficult to predict the dose needed achieve the target levels in the blood. This study aimed to construct a population pharmacokinetic model of tacrolimus dosage prediction for therapeutic drug monitoring in clinical settings for Korean adult patients receiving living donor liver transplantation (LDLT). METHODS: A total of 58 Korean adult patients receiving LDLT with tacrolimus administration were enrolled. Demographic, clinical, and CYP3A5*1/*3 polymorphism data were collected. Population pharmacokinetic modeling of tacrolimus during the first 14 days after transplantation was performed using NONMEM program. Parameters were estimated by the first-order conditional estimation with interaction method. The internal validation of the final model was assessed by the bootstrap and visual predictive check methods using 500 samples from the original data. RESULTS: One-compartmental model was selected as a base model. After the stepwise covariate model building process, postoperative day (POD) and combinational CYP3A5 genotype of the recipient and donor were incorporated into clearance (CL/F). The estimated typical values of CL/F and volume of distribution (V/F) were 6.33 L/h and 465 L, respectively. The final model was CL/F =6.33× POD(0.257)×2.314 (if CYP3A5 expresser recipient grafted from CYP3A5 expresser donor) ×1.523 (if CYP3A5 expresser recipient grafted from CYP3A5 nonexpresser donor) and V/F =465× POD(0.322). CONCLUSION: A population pharmacokinetic model for tacrolimus was established successfully in Korean adult patients receiving LDLT. This model is expected to contribute to improving patient outcomes by optimizing tacrolimus dose adjustment for liver transplant patients. Dove Medical Press 2018-10-25 /pmc/articles/PMC6207397/ /pubmed/30498355 http://dx.doi.org/10.2147/TCRM.S184376 Text en © 2018 Ji et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Ji, Eunhee Kim, Myeong gyu Oh, Jung Mi CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
title | CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
title_full | CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
title_fullStr | CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
title_full_unstemmed | CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
title_short | CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
title_sort | cyp3a5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207397/ https://www.ncbi.nlm.nih.gov/pubmed/30498355 http://dx.doi.org/10.2147/TCRM.S184376 |
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