Literature DB >> 24218510

Busulfan in infant to adult hematopoietic cell transplant recipients: a population pharmacokinetic model for initial and Bayesian dose personalization.

Jeannine S McCune1, Meagan J Bemer, Jeffrey S Barrett, K Scott Baker, Alan S Gamis, Nicholas H G Holford.   

Abstract

PURPOSE: Personalizing intravenous busulfan doses to a target plasma concentration at steady state (Css) is an essential component of hematopoietic cell transplantation (HCT). We sought to develop a population pharmacokinetic model to predict i.v. busulfan doses over a wide age spectrum (0.1-66 years) that accounts for differences in age and body size. EXPERIMENTAL
DESIGN: A population pharmacokinetic model based on normal fat mass and maturation based on postmenstrual age was built from 12,380 busulfan concentration time points obtained after i.v. busulfan administration in 1,610 HCT recipients. Subsequently, simulation results of the initial dose necessary to achieve a target Css with this model were compared with pediatric-only models.
RESULTS: A two-compartment model with first-order elimination best fit the data. The population busulfan clearance was 12.4 L/h for an adult male with 62 kg normal fat mass (equivalent to 70 kg total body weight). Busulfan clearance, scaled to body size-specifically normal fat mass, is predicted to be 95% of the adult clearance at 2.5 years postnatal age. With a target Css of 770 ng/mL, a higher proportion of initial doses achieved the therapeutic window with this age- and size--dependent model (72%) compared with dosing recommended by the U.S. Food and Drug Administration (57%) or the European Medicines Agency (70%).
CONCLUSION: This is the first population pharmacokinetic model developed to predict initial i.v. busulfan doses and personalize to a target Css over a wide age spectrum, ranging from infants to adults. ©2013 AACR.

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Year:  2013        PMID: 24218510      PMCID: PMC3946385          DOI: 10.1158/1078-0432.CCR-13-1960

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  40 in total

1.  A procedure for generating bootstrap samples for the validation of nonlinear mixed-effects population models.

Authors:  J Parke; N H Holford; B G Charles
Journal:  Comput Methods Programs Biomed       Date:  1999-04       Impact factor: 5.428

2.  The fourth dimension of life: fractal geometry and allometric scaling of organisms.

Authors:  G B West; J H Brown; B J Enquist
Journal:  Science       Date:  1999-06-04       Impact factor: 47.728

3.  Power, selection bias and predictive performance of the Population Pharmacokinetic Covariate Model.

Authors:  Jakob Ribbing; E Niclas Jonsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-04       Impact factor: 2.745

4.  Population pharmacokinetic-based dosing of intravenous busulfan in pediatric patients.

Authors:  Brian P Booth; Atiqur Rahman; Ramzi Dagher; Donna Griebel; Shari Lennon; David Fuller; Chandra Sahajwalla; Mehul Mehta; Jogarao V S Gobburu
Journal:  J Clin Pharmacol       Date:  2007-01       Impact factor: 3.126

5.  Pharmacokinetics of once-daily IV busulfan as part of pretransplantation preparative regimens: a comparison with an every 6-hour dosing schedule.

Authors:  Timothy Madden; Marcos de Lima; Neil Thapar; John Nguyen; Soonja Roberson; Daniel Couriel; Betty Pierre; Elizabeth J Shpall; Roy B Jones; Richard E Champlin; Borje S Andersson
Journal:  Biol Blood Marrow Transplant       Date:  2007-01       Impact factor: 5.742

6.  Assumption testing in population pharmacokinetic models: illustrated with an analysis of moxonidine data from congestive heart failure patients.

Authors:  M O Karlsson; E N Jonsson; C G Wiltse; J R Wade
Journal:  J Pharmacokinet Biopharm       Date:  1998-04

Review 7.  Optimization of allogeneic transplant conditioning: not the time for dogma.

Authors:  H J Deeg; M B Maris; B L Scott; E H Warren
Journal:  Leukemia       Date:  2006-08-03       Impact factor: 11.528

8.  Improved clinical outcome of paediatric bone marrow recipients using a test dose and Bayesian pharmacokinetic individualization of busulfan dosage regimens.

Authors:  N Bleyzac; G Souillet; P Magron; A Janoly; P Martin; Y Bertrand; C Galambrun; Q Dai; P Maire; R W Jelliffe; G Aulagner
Journal:  Bone Marrow Transplant       Date:  2001-10       Impact factor: 5.483

9.  I.V. busulfan in pediatrics: a novel dosing to improve safety/efficacy for hematopoietic progenitor cell transplantation recipients.

Authors:  L Nguyen; D Fuller; S Lennon; F Leger; C Puozzo
Journal:  Bone Marrow Transplant       Date:  2004-05       Impact factor: 5.483

10.  Correction of ADA-SCID by stem cell gene therapy combined with nonmyeloablative conditioning.

Authors:  Alessandro Aiuti; Shimon Slavin; Memet Aker; Francesca Ficara; Sara Deola; Alessandra Mortellaro; Shoshana Morecki; Grazia Andolfi; Antonella Tabucchi; Filippo Carlucci; Enrico Marinello; Federica Cattaneo; Sergio Vai; Paolo Servida; Roberto Miniero; Maria Grazia Roncarolo; Claudio Bordignon
Journal:  Science       Date:  2002-06-28       Impact factor: 47.728

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  56 in total

1.  Pharmacometabonomic Prediction of Busulfan Clearance in Hematopoetic Cell Transplant Recipients.

Authors:  Sandi L Navarro; Timothy W Randolph; Laura M Shireman; Daniel Raftery; Jeannine S McCune
Journal:  J Proteome Res       Date:  2016-07-20       Impact factor: 4.466

2.  Busulfan Pharmacokinetics and Precision Dosing: Are Patients with Fanconi Anemia Different?

Authors:  Parinda A Mehta; Chie Emoto; Tsuyoshi Fukuda; Brian Seyboth; Ashley Teusink-Cross; Stella M Davies; Jamie Wilhelm; Kirsten Fuller; Alexander A Vinks; Farid Boulad
Journal:  Biol Blood Marrow Transplant       Date:  2019-07-18       Impact factor: 5.742

3.  Why standards are useful for predicting doses.

Authors:  Nick H G Holford; Brian J Anderson
Journal:  Br J Clin Pharmacol       Date:  2017-02-02       Impact factor: 4.335

4.  Comment on "Effect of Age-Related Factors on the Pharmacokinetics of Lamotrigine and Potential Implications for Maintenance Dose Optimisation in Future Clinical Trials".

Authors:  Joseph F Standing; Brian J Anderson; Stefanie Hennig; Nick H Holford; Trevor N Johnston; Catherijne A J Knibbe; Dagan O Lonsdale; Amin Rostami-Hodjegan
Journal:  Clin Pharmacokinet       Date:  2018-11       Impact factor: 6.447

Review 5.  Opportunities for model-based precision dosing in the treatment of sickle cell anemia.

Authors:  Min Dong; Tomoyuki Mizuno; Alexander A Vinks
Journal:  Blood Cells Mol Dis       Date:  2017-08-09       Impact factor: 3.039

6.  Monitoring of Busulphan Concentrations in Children Undergone Hematopoietic Stem Cell Transplantation: Unicentric Experience over 10 years.

Authors:  Maura Faraci; Carmine Tinelli; Edoardo Lanino; Stefano Giardino; Massimiliano Leoni; Marta Ferretti; Elio Castagnola; Monica Broglia; Annalisa De Silvestri; Daniela Di Martino; Antonella Bartoli
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-04       Impact factor: 2.441

7.  A Nonparametric Method to Optimize Initial Drug Dosing and Attainment of a Target Exposure Interval: Concepts and Application to Busulfan in Pediatrics.

Authors:  Michaël Philippe; Michael Neely; Yves Bertrand; Nathalie Bleyzac; Sylvain Goutelle
Journal:  Clin Pharmacokinet       Date:  2017-04       Impact factor: 6.447

8.  Population Pharmacokinetics and Optimal Sampling Strategy for Model-Based Precision Dosing of Melphalan in Patients Undergoing Hematopoietic Stem Cell Transplantation.

Authors:  Kana Mizuno; Min Dong; Tsuyoshi Fukuda; Sharat Chandra; Parinda A Mehta; Scott McConnell; Elias J Anaissie; Alexander A Vinks
Journal:  Clin Pharmacokinet       Date:  2018-05       Impact factor: 6.447

9.  Population pharmacokinetics of intravenous busulfan in children: revised body weight-dependent NONMEM® model to optimize dosing.

Authors:  Christian Diestelhorst; Joachim Boos; Jeannine S McCune; Georg Hempel
Journal:  Eur J Clin Pharmacol       Date:  2014-05-09       Impact factor: 2.953

Review 10.  Review of the Pharmacokinetics and Pharmacodynamics of Intravenous Busulfan in Paediatric Patients.

Authors:  Rachael Lawson; Christine E Staatz; Christopher J Fraser; Stefanie Hennig
Journal:  Clin Pharmacokinet       Date:  2020-10-30       Impact factor: 6.447

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