Pediatric Kidney Transplantation
Conditions
Brief summary
The purpose of this study is to develop a novel and applicable dosing algorithm that helps support the clinical decision to achieve tacrolimus levels within the optimal immunosuppression range despite sparse sampling in routine clinical practice in pediatric kidney transplantation. This clinical decision support tool (CDST) is based on a hybrid population pharmacokinetics-machine learning approach aiming for tacrolimus dose individualization and reducing the risk of acute graft rejection.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Pediatric patients (\< 18 years old). * First-time kidney transplant recipients who have less than 20% PRA and no DSA. * Adherent to tacrolimus for a year post-transplantation. * All data, including therapeutic drug monitoring (TDM) data, are available.
Exclusion criteria
* Non-adherent patients to tacrolimus. * Unavailable or missing data.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Development of a novel and applicable dosing algorithm. | June 2026 - January 2027 | A dosing algorithm that rapidly achieves accurate tacrolimus levels within the optimal immunosuppression range despite sparse sampling in routine clinical practice. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Reduction in the risk of acute graft rejection. | June 2026 - January 2027 | Reduction in the risk of acute graft rejection by developing a clinical decision support tool (CDST) to guide the dose individualization of tacrolimus following pediatric kidney transplantation. |