Literature DB >> 32090349

Comparison of Body Size, Morphomics, and Kidney Function as Covariates of High-Dose Methotrexate Clearance in Obese Adults with Primary Central Nervous System Lymphoma.

Manjunath P Pai1, Kenneth C Debacker1, Brian Derstine2, June Sullivan2, Grace L Su2,3, Stewart C Wang2.   

Abstract

BACKGROUND: High-dose methotrexate (HD-MTX) is used to treat primary central nervous system lymphoma (PCNSL), but potential differences in MTX clearance (CL) due to obesity have not been studied. We characterized the relationship between HD-MTX CL and computed tomography (CT)-generated body composition (morphomic), body size descriptors, and laboratory measurements in a cohort of obese and non-obese patients with PCNSL.
METHODS: Medical records from adult patients with PCNSL treated with HD-MTX over a 10-year period were queried. Individuals with CT data within 30 days of the first cycle of treatment were included. Population pharmacokinetic analysis was performed using a 2-compartment base structural model. We specifically compared body surface area (BSA) to standard body size, morphomic, and renal function estimation methods as covariates of HD-MTX CL.
RESULTS: The final data set consisted of non-obese (n=45) and obese (n=28) patients with 291 observations (3-7 samples per patient) with a mean (standard deviation) weight of 69.8 (11.6) kg and 104 (14.9) kg, respectively (p=0.0001). Vertebral body height was more informative than BSA of MTX CL. Similarly, a CL model incorporating age, albumin, and serum creatinine was more informative than kidney function equations and body size. The final model of MTX CL was based on age, albumin, serum creatinine, and vertebral body height.
CONCLUSIONS: Common clinical variables coupled with vertebral body height are more predictive of first cycle MTX CL than BSA, alternate body size descriptors, and commonly used kidney function equations.
© 2020 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  analytic morphomics; body composition; kidney function; leucovorin; obesity; pharmacokinetics; pharmacology

Mesh:

Substances:

Year:  2020        PMID: 32090349      PMCID: PMC8855476          DOI: 10.1002/phar.2379

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  44 in total

1.  Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R.

Authors:  Michael N Neely; Michael G van Guilder; Walter M Yamada; Alan Schumitzky; Roger W Jelliffe
Journal:  Ther Drug Monit       Date:  2012-08       Impact factor: 3.681

2.  Relationships of Vancomycin Pharmacokinetics to Body Size and Composition Using a Novel Pharmacomorphomic Approach Based on Medical Imaging.

Authors:  Manjunath P Pai; Brian A Derstine; Matt Lichty; Brian E Ross; June A Sullivan; Grace L Su; Stewart C Wang
Journal:  Antimicrob Agents Chemother       Date:  2017-10-24       Impact factor: 5.191

3.  Structure, not just function.

Authors:  W Charles O'Neill
Journal:  Kidney Int       Date:  2014-03       Impact factor: 10.612

4.  Pharmacokinetic monitoring of high-dose methotrexate. Early recognition of high-risk patients.

Authors:  W E Evans; C B Pratt; R H Taylor; L F Barker; W R Crom
Journal:  Cancer Chemother Pharmacol       Date:  1979       Impact factor: 3.333

5.  The roentgenographic determination of normal adult kidney size as related to vertebral height.

Authors:  P G Batson; T E Keats
Journal:  Am J Roentgenol Radium Ther Nucl Med       Date:  1972-12

6.  A physiologically-based pharmacokinetic model of methotrexate incorporating hepatic excretion via multidrug-resistance-associated protein 2 (Mrp2) in mice, rats, dogs, and humans.

Authors:  Manupat Lohitnavy; Ornrat Lohitnavy; Raymond S H Yang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2017-07

Review 7.  Much more than you expected: The non-DHFR-mediated effects of methotrexate.

Authors:  Martin Sramek; Jakub Neradil; Renata Veselska
Journal:  Biochim Biophys Acta Gen Subj       Date:  2016-12-16       Impact factor: 3.770

Review 8.  Neurotoxicity after high-dose methotrexate (MTX) is adequately explained by insufficient folinic acid rescue.

Authors:  Ian Joseph Cohen
Journal:  Cancer Chemother Pharmacol       Date:  2017-04-28       Impact factor: 3.333

9.  The pharmacokinetics of methotrexate and its 7-hydroxy metabolite in patients with rheumatoid arthritis.

Authors:  P Seideman; O Beck; S Eksborg; M Wennberg
Journal:  Br J Clin Pharmacol       Date:  1993-04       Impact factor: 4.335

10.  High dose methotrexate population pharmacokinetics and Bayesian estimation in patients with lymphoid malignancy.

Authors:  Ye Min; Fu Qiang; Li Peng; Zhu Zhu
Journal:  Biopharm Drug Dispos       Date:  2009-11       Impact factor: 1.627

View more
  3 in total

1.  A Systematic Review of Population Pharmacokinetic Models of Methotrexate.

Authors:  Yiming Zhang; Liyu Sun; Xinwei Chen; Libo Zhao; Xiaoling Wang; Zhigang Zhao; Shenghui Mei
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-01-05       Impact factor: 2.441

Review 2.  Antimicrobial Dosing in Specific Populations and Novel Clinical Methodologies: Obesity.

Authors:  Manjunath P Pai
Journal:  Clin Pharmacol Ther       Date:  2021-02-28       Impact factor: 6.875

3.  Evaluation and Application of Population Pharmacokinetic Models for Identifying Delayed Methotrexate Elimination in Patients With Primary Central Nervous System Lymphoma.

Authors:  Junjun Mao; Qing Li; Pei Li; Weiwei Qin; Bobin Chen; Mingkang Zhong
Journal:  Front Pharmacol       Date:  2022-03-09       Impact factor: 5.810

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.