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- W130927204 abstract "Introduction: Tacrolimus is a potent immunosuppressant agent used to prevent and treat rejection in paediatric liver transplantation. Tacrolimus has a narrow therapeutic window and displays considerable between and within-subject pharmacokinetic (PK) variability. The PK of tacrolimus change markedly in the immediate post-transplant period. We have previously developed a population PK model of tacrolimus with the intent of capturing this process. Commonly used simulation based diagnostics are unsuitable when using adaptive design data, but visual evaluation of the predictive performance can be performed with prediction corrected VPC (pcVPC), where observed and simulated observations are normalized based on the population prediction. This model has been used to suggest a revised initial dosing schedule and forms the basis for a dose adaptation tool. Objectives: To evaluate the predictive performance of the model in comparison to two previously published models by Sam et al and Staatz et al, by simulation based diagnostics as well as by prediction of data collected from an independent group of paediatric liver patients. Conclusions: The proposed PK model predicted the validation data reasonably well, and was superior to the previously published models in the early post-transplantation phase." @default.
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- W130927204 date "2010-01-01" @default.
- W130927204 modified "2023-09-23" @default.
- W130927204 title "Internal and external validation with sparse, adaptive-design data for evaluating the predictive performance of a population pharmacokinetic model of tacrolimus" @default.
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