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Retrospective study finds external pharmacokinetic models lack precision for high-dose methotrexate in pediatric leukemia, highlighting the need for thorough validation before clinical use.
INTRODUCTION: High-dose methotrexate (MTX) is used to treat pediatric acute lymphoblastic leukemia (ALL). The drug has a low therapeutic index and a highly interindividual variability in systemic exposure. These characteristics necessitate dose adjustments and therapeutic drug monitoring protocols, while population pharmacokinetic (POP/PK) models may enable more precise drug dosing. Therefore, we assessed the performance of external POP/PK models in ALL children receiving high-dose MTX. METHODS: We retrospectively harvested clinical and laboratory data from ALL children during their first two cycles of chemotherapy. A POP/PK model was elaborated using the Monolix suite 2024R1. External models were selected from PUBMED based on strict inclusion/exclusion criteria, and their fit to the actual data was assessed by calculating bias (percentage prediction error [PE%]) and precision (percentage root mean squared error [RMSE%]). RESULTS: Thirty-seven ALL children participated in the study (18 males, median age 5.1 years, range 1.7-15.2 years), and six external POP/PK models were chosen. Except for one model (median PE% value, -97.45%), all models exhibited acceptable bias (median PE% values, -4.17%-2.67%), despite none of them demonstrating good precision (median RMSE% values, 89.19%-120.40%). CONCLUSION: External models should be accurately evaluated before they are implemented in clinical practice, even when patients share very similar characteristics.
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Maximova et al. (2024) studied this question.
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