Model-Informed Precision Dosing of Intravenous Busulfan in Thai Pediatrics Undergoing Hematopoietic Stem Cell Transplantation

Author:

Puangpetch Apichaya1,Thomas Fabienne2,Anurathapan Usanarat3,Pakakasama Samart3,Hongeng Suradej3,Rachanakul Jiratha14,Prommas Santirhat14,Nuntharadthanaphong Nutthan14,Chatelut Étienne2,Sukasem Chonlaphat14567,Le Louedec Félicien2

Affiliation:

1. Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand;

2. Laboratoire de Pharmacologie, Oncopole Claudius-Regaud, Institut Universitaire du Cancer de Toulouse Oncopole, Centre de Recherche en Cancérologie de Toulouse, INSERM U1037, Université Paul Sabatier, Toulouse, France;

3. Division of Hematology-Oncology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand;

4. Laboratory for Pharmacogenomics, Clinical Pathology, Somdetch Phra Debharatana Medical Centre, Ramathibodi Hospital, Bangkok, Thailand;

5. Pharmacogenomics Clinic, Bumrungrad Genomic Medicine Institute, Bumrungrad International Hospital, Bangkok, Thailand;

6. Research and Development Laboratory, Bumrungrad International Hospital, Bangkok, Thailand;

7. Faculty of Pharmaceutical Sciences, Burapha University, Chonburi, Thailand; and

Abstract

Background: Conditioning bifunctional agent, busulfan, is commonly used on children before hematopoietic stem cell transplantation. Currently, at the Ramathibodi hospital, Bangkok, Thailand, initial dosing is calculated according to age and body surface area, and 7 samples per day are used for therapeutic drug monitoring (TDM). This study aimed to identify the best strategies for individual dosages a priori from patient characteristics and a posteriori based on TDM. Methods: The pharmacokinetic data set consisted of 2018 plasma concentrations measured in 135 Thai (n = 135) pediatric patients (median age = 8 years) and were analyzed using a population approach. Results: Body weight, presence of malignant disease, and genetic polymorphism of Glutathione S-transferase Alpha-1 (GSTA1) were predictors of clearance. The optimum sampling times for TDM concentration measurements were 0.25, 2, and 5 hours after a 3-hour infusion. This was sufficient to obtain a Bayesian estimate of clearance a posteriori. Simulations showed the poor performance of a priori formula-based dose calculations with 90% of patients demonstrating a 69%–151% exposure interval around the target. This interval shrank to 85%–124% if TDM was carried out only at day 1 and to 90%–116% with TDM at days 1 and 3. Conclusions: This comprehensive study reinforces the interest of TDM in managing interindividual variability in busulfan exposure. Therapeutic drug monitoring can reliably be implemented from 3 samples using the Bayesian approach, preferably over 2 days. If using the latter is not possible, the formulas developed herein could present an alternative in Thai patients.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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