Transplantation Reports
Predicted Performance of Bayesian-Based Precision Dosing Software for Tacrolimus in Peri-operative Kidney Transplant Recipients
By Anna Seghezzo, Janice Kerr, Anh Ta and 3 others.
Abstract
Purpose
Bayesian-based precision dosing software (BPDS) has been utilized for therapeutic drug monitoring. However, BPDS for tacrolimus (TAC) is not routinely utilized in clinical settings. The objective of this study was to evaluate the predictive performance of BPDS for TAC in early post-kidney transplant recipients (KTR).
Methods
A single-center, retrospective cohort study was performed among KTR between 01/2018 - 12/2019 with TAC dosing and trough concentrations (C0) during the index hospitalization. The predictive performance of two models were evaluated within the BPDS. Predictive performance was determined by assessing both bias (calculated as the mean difference between observed and predicted TAC C0 and mean absolute prediction error (MAPE)) and precision (measured as the standard deviation (SD) of the difference).