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Model Informed Precision Dosing of Tacrolimus in Children Following Heart Transplant
Jadon S Wagstaff1, Shaun S Kumar1, Kimberly M Molina2,3
1Division of Clinical Pharmacology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Insights
A new decision support tool (DST) helps pediatric heart transplant patients reach stable tacrolimus dosing faster. This model-informed precision dosing approach improves patient care and reduces healthcare burdens.
Area of Science:
- Pharmacology
- Transplantation Medicine
- Pediatric Cardiology
Background:
- Tacrolimus is crucial post-transplant but has high variability and a narrow therapeutic window.
- Individualized dosing is challenging in pediatric heart transplant recipients.
- Population pharmacokinetic (popPK) models offer a precision dosing approach.
Purpose of the Study:
- To develop and clinically implement a Bayesian forecasting decision support tool (DST) for tacrolimus dosing in pediatric heart transplant patients.
- To evaluate the DST's ability to accelerate the time to stable therapeutic tacrolimus concentrations.
- To assess the clinical utility of model-informed precision dosing (MIPD) in this fragile population.
Main Methods:
- A previously developed tacrolimus popPK model was used to create a DST.
- The DST underwent in silico testing for mathematical fidelity.
- A clinical trial (NCT04380311) enrolled 15 pediatric heart transplant recipients (6 months–17 years) for DST-guided dosing.
- Time to stable therapeutic tacrolimus dosing was compared to a historical cohort.
Main Results:
- DST-guided dosing achieved stable tacrolimus levels approximately 3 days faster (6.9 days) compared to the historical cohort (9.8 days) (P = .03).
- The DST demonstrated clinical utility despite challenges in patients on continuous renal replacement therapy.
- This represents the first DST specifically for pediatric heart transplant recipients.
Conclusions:
- The developed DST significantly accelerates time to stable tacrolimus dosing in pediatric heart transplant patients.
- Model-informed precision dosing via DST offers substantial benefits for patients, clinicians, and healthcare systems.
- This approach facilitates more rapid and effective immunosuppression management in a vulnerable pediatric population.
Abstract:
Tacrolimus is a first-line immunosuppressant used after solid organ transplantation that suffers from extensive intra- and inter-patient variability and a narrow therapeutic window. Its critical role in a fragile population, coupled with the difficulties identifying and maintaining an appropriate dose within a given patient, make it an ideal candidate for population pharmacokinetic (popPK)-guided individualized dosing approaches (i.e., model informed precision dosing, MIPD). We previously published a tacrolimus popPK model in pediatric heart transplant recipients that showed promise in its ability to predict future concentrations within an individual. Using that model, we developed a Bayesian forecasting decision support tool (DST) clinical use to more rapidly attain appropriate tacrolimus dosing in this population. After rigorous in silico testing of the DST's mathematical fidelity to the popPK model, we implemented the DST within a clinical trial (NCT04380311). Fifteen children between 6 months and 17 years of age had their tacrolimus doses guided by the DST to determine the time to stable therapeutic tacrolimus dosing (defined by three consecutive concentrations within the targeted therapeutic range). DST-guided dosing achieved stable tacrolimus dosing ∼3 days faster (6.9 days, P = .03) as compared to a historical cohort (9.8 days). This was despite the poor performance of the DST in two children treated with continuous renal replacement therapy. These results demonstrate the clinical utility and benefit of the described DST, which is the first targeted to the pediatric heart transplant population. Rapid attainment of stable therapeutic tacrolimus dosing has benefits for the patient, clinician, and the healthcare system.
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