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Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
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Busulfan dosing algorithm and sampling strategy in stem cell transplantation patients.

Francine A de Castro1, Chiara Piana2, Belinda P Simões3

  • 1Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.

British Journal of Clinical Pharmacology
|March 31, 2015
PubMed
Summary

A new model-based dosing algorithm and sparse sampling scheme improve busulfan (BUS) therapy in stem cell transplantation. This approach ensures target exposure levels are reached, enhancing patient safety and treatment efficacy.

Keywords:
busulfandosing algorithmpopulation pharmacokineticssparse samplingstem cell transplantationtherapeutic drug monitoring

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Area of Science:

  • Pharmacology
  • Clinical Pharmacy
  • Biotechnology

Background:

  • Busulfan is a critical chemotherapeutic agent used in stem cell transplantation.
  • Optimizing busulfan dosing is essential for maximizing efficacy and minimizing toxicity.
  • Current dosing strategies may require refinement for improved patient outcomes.

Purpose of the Study:

  • To develop a model-based dosing algorithm for busulfan.
  • To identify an optimal, sparse sampling scheme for routine clinical use.
  • To enhance the safety and efficacy of busulfan therapy in stem cell transplantation.

Main Methods:

  • Utilized clinical data from 29 stem cell transplantation patients.
  • Employed a one-compartment model for sampling optimization and dosing algorithm development.
  • Validated the model internally and externally using ED-optimality criteria.
  • Focused on minimizing deviation from target area under the curve (AUC) for individual patients.

Main Results:

  • Adjusted ideal body weight and alanine transferase were identified as key covariates influencing busulfan clearance.
  • Population pharmacokinetic parameters were estimated: absorption rate constant (3.98 h⁻¹), volume of distribution (48.8 L), and oral clearance (12.3 L/h).
  • A dosing algorithm was developed, achieving target exposure levels after a single test dose.
  • A sparse sampling scheme of five samples per patient was found sufficient for pharmacokinetic characterization.

Conclusions:

  • The proposed busulfan dosing algorithm, combined with a sparse sampling strategy, can significantly improve treatment outcomes.
  • This integrated approach offers a promising method for enhancing the safety and efficacy profile in stem cell transplantation.
  • Implementation in routine practice may lead to better patient management and therapeutic success.