Abstract

Background: With a notably narrow therapeutic window and wide intra- and interindividual pharmacokinetic (PK) variability, initial weight-based dosing along with routine therapeutic drug monitoring of tacrolimus are employed to optimize its clinical utilization. Both supratherapeutic and subtherapeutic tacrolimus concentrations can result in poor outcomes, thus tacrolimus PK variability is particularly important to consider in the pediatric population given the differences in absorption, distribution, metabolism, and excretion among children of various sizes and at different stages of development. The primary goals of the current study were to develop a population PK (PopPK) model for tacrolimus IV continuous infusion in the pediatric and young adult hematopoietic cell transplant (HCT) population and implement the PopPK model in a clinically available Bayesian forecasting tool. Methods: A retrospective chart review was conducted of 111 pediatric and young adult patients who received IV tacrolimus by continuous infusion early in the post-transplant period during HCT from February 2016 to July 2020 at our institution. PopPK model building was performed in NONMEM. The PopPK model building process included identifying structural and random effects models that best fit the data and then identifying which patient-specific covariates (if any) further improved model fit. Results: A total of 1,648 tacrolimus plasma steady-state trough concentrations were included in the PopPK modeling process. A 2-compartment structural model best fit the data. Allometrically-scaled weight was a covariate that improved estimation of both clearance and volume of distribution. Overall, model predictions only showed moderate bias, with minor under-prediction at lower concentrations and minor over-prediction at higher predicted concentrations. The model was implemented in a Bayesian dosing tool and made available at the point-of-care. Discussion: Novel therapeutic drug monitoring strategies for tacrolimus within the pediatric and young adult HCT population are necessary to reduce toxicity and improve efficacy in clinical practice. The model developed presents clinical utility in optimizing the use of tacrolimus by enabling model-guided, individualized dosing of IV, continuous tacrolimus via a Bayesian forecasting platform.

Highlights

  • Acute graft-versus-host disease is a major cause of morbidity and mortality in patients who have undergone allogeneic hematopoietic cell transplantation (HCT)

  • The patients included in the dataset were found to be broadly reflective of the population treated at the HCT center, with median age of 7.3 years and 66% of patients identified as non-Caucasian

  • Patients were treated for a variety of malignant and nonmalignant diagnoses (Table 1). Acute graft-versus-host disease (aGVHD) was observed in 19 (17.1%) of patients and chronic GVHD (cGVHD) was observed in 16 (14.4%) patients

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Summary

Introduction

Acute graft-versus-host disease (aGVHD) is a major cause of morbidity and mortality in patients who have undergone allogeneic hematopoietic cell transplantation (HCT). With a notably narrow therapeutic window and wide intra- and interindividual pharmacokinetic (PK) variability, initial weightbased dosing along with routine therapeutic drug monitoring of tacrolimus are employed to optimize its safety and efficacy Both supratherapeutic and subtherapeutic tacrolimus concentrations can result in poor outcomes. With a notably narrow therapeutic window and wide intra- and interindividual pharmacokinetic (PK) variability, initial weight-based dosing along with routine therapeutic drug monitoring of tacrolimus are employed to optimize its clinical utilization Both supratherapeutic and subtherapeutic tacrolimus concentrations can result in poor outcomes, tacrolimus PK variability is important to consider in the pediatric population given the differences in absorption, distribution, metabolism, and excretion among children of various sizes and at different stages of development. The primary goals of the current study were to develop a population PK (PopPK) model for tacrolimus IV continuous infusion in the pediatric and young adult hematopoietic cell transplant (HCT) population and implement the PopPK model in a clinically available Bayesian forecasting tool

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