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Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org
The MTXPK.org webtool was launched in December 2019 and was developed to facilitate model‐informed supportive care and optimal use of glucarpidase following the administration of high‐dose methotrexate (HDMTX). One limitation identified during the original development of the MTXPK.org tool was the p...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651646/ https://www.ncbi.nlm.nih.gov/pubmed/37503924 http://dx.doi.org/10.1111/cts.13600 |
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author | Taylor, Zachary L. Miller, Tamara P. Poweleit, Ethan A. DeGroote, Nicholas P. Pommert, Lauren Awoniyi, Oluwafunbi Board, Sarah G. Ugboh, Ngozi Joshi, Vivek Ambrosino, Nick Chavana, Ashley Bernhardt, Melanie B. Schafer, Eric S. O'Brien, Maureen M. Castellino, Sharon M. Ramsey, Laura B. |
author_facet | Taylor, Zachary L. Miller, Tamara P. Poweleit, Ethan A. DeGroote, Nicholas P. Pommert, Lauren Awoniyi, Oluwafunbi Board, Sarah G. Ugboh, Ngozi Joshi, Vivek Ambrosino, Nick Chavana, Ashley Bernhardt, Melanie B. Schafer, Eric S. O'Brien, Maureen M. Castellino, Sharon M. Ramsey, Laura B. |
author_sort | Taylor, Zachary L. |
collection | PubMed |
description | The MTXPK.org webtool was launched in December 2019 and was developed to facilitate model‐informed supportive care and optimal use of glucarpidase following the administration of high‐dose methotrexate (HDMTX). One limitation identified during the original development of the MTXPK.org tool was the perceived generalizability because the modeled population comprised solely of Nordic pediatric patients receiving 24‐h infusions for the treatment of acute lymphoblastic leukemia. The goal of our study is to describe the pharmacokinetics of HDMTX from a diverse patient population (e.g., races, ethnicity, indications for methotrexate, and variable infusion durations) and identify meaningful factors that account for methotrexate variability and improve the model's performance. To do this, retrospectively analyzed pharmacokinetic and toxicity data from pediatric and adolescent young adult patients who were receiving HDMTX (>0.5 g/m(2)) for the treatment of a cancer diagnosis from three pediatric medical centers. We performed population pharmacokinetic modeling referencing the original MTXPK.org NONMEM model (includes body surface area and serum creatinine as covariates) on 1668 patients, 7506 administrations of HDMTX, and 30,250 concentrations. Our results support the parameterizations of short infusion duration (<8 h) and the presence of Down syndrome on methotrexate clearance, the parameterization of severe hypoalbuminemia (<2.5 g/dL) on the intercompartmental clearance (Q2 and Q3), and the parameterization of pleural effusion on the volume of distribution (V1 and V2). These novel parameterizations will increase the generalizability of the MTXPK.org model once they are added to the webtool. |
format | Online Article Text |
id | pubmed-10651646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106516462023-08-03 Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org Taylor, Zachary L. Miller, Tamara P. Poweleit, Ethan A. DeGroote, Nicholas P. Pommert, Lauren Awoniyi, Oluwafunbi Board, Sarah G. Ugboh, Ngozi Joshi, Vivek Ambrosino, Nick Chavana, Ashley Bernhardt, Melanie B. Schafer, Eric S. O'Brien, Maureen M. Castellino, Sharon M. Ramsey, Laura B. Clin Transl Sci Research The MTXPK.org webtool was launched in December 2019 and was developed to facilitate model‐informed supportive care and optimal use of glucarpidase following the administration of high‐dose methotrexate (HDMTX). One limitation identified during the original development of the MTXPK.org tool was the perceived generalizability because the modeled population comprised solely of Nordic pediatric patients receiving 24‐h infusions for the treatment of acute lymphoblastic leukemia. The goal of our study is to describe the pharmacokinetics of HDMTX from a diverse patient population (e.g., races, ethnicity, indications for methotrexate, and variable infusion durations) and identify meaningful factors that account for methotrexate variability and improve the model's performance. To do this, retrospectively analyzed pharmacokinetic and toxicity data from pediatric and adolescent young adult patients who were receiving HDMTX (>0.5 g/m(2)) for the treatment of a cancer diagnosis from three pediatric medical centers. We performed population pharmacokinetic modeling referencing the original MTXPK.org NONMEM model (includes body surface area and serum creatinine as covariates) on 1668 patients, 7506 administrations of HDMTX, and 30,250 concentrations. Our results support the parameterizations of short infusion duration (<8 h) and the presence of Down syndrome on methotrexate clearance, the parameterization of severe hypoalbuminemia (<2.5 g/dL) on the intercompartmental clearance (Q2 and Q3), and the parameterization of pleural effusion on the volume of distribution (V1 and V2). These novel parameterizations will increase the generalizability of the MTXPK.org model once they are added to the webtool. John Wiley and Sons Inc. 2023-08-03 /pmc/articles/PMC10651646/ /pubmed/37503924 http://dx.doi.org/10.1111/cts.13600 Text en © 2023 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Taylor, Zachary L. Miller, Tamara P. Poweleit, Ethan A. DeGroote, Nicholas P. Pommert, Lauren Awoniyi, Oluwafunbi Board, Sarah G. Ugboh, Ngozi Joshi, Vivek Ambrosino, Nick Chavana, Ashley Bernhardt, Melanie B. Schafer, Eric S. O'Brien, Maureen M. Castellino, Sharon M. Ramsey, Laura B. Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org |
title | Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org |
title_full | Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org |
title_fullStr | Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org |
title_full_unstemmed | Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org |
title_short | Clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform MTXPK.org |
title_sort | clinical covariates that improve the description of high dose methotrexate pharmacokinetics in a diverse population to inform mtxpk.org |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651646/ https://www.ncbi.nlm.nih.gov/pubmed/37503924 http://dx.doi.org/10.1111/cts.13600 |
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