The best performing models for intravenous and oral cyclosporine are the structure ones with combined and additive error, respectively. The final covariate model does not improve the B-LSS prediction performance. ResultsĪ two-compartment structure model with a lag time and a combined additive and proportional error is retained. The performance of B-LSS when targeting different versions of AUC was also discussed. Pop-PK analyses were carried out and the predictive performance of B-LSS was evaluated using the final Pop-PK model and several related ones. Twenty five pediatric hematopoietic stem cell transplantation patients receiving intravenous and oral cyclosporine were investigated. In this paper, we develop Bayesian limited sampling strategies (B-LSS) for cyclosporine AUC estimation using population pharmacokinetic (Pop-PK) models and investigate related issues, with the aim to improve B-LSS prediction performance. However, there is a growing interest in the use of the area under the concentration-time curve (AUC), particularly for cyclosporine dose adjustment in pediatric hematopoietic stem cell transplantation. The optimal marker for cyclosporine (CsA) monitoring in transplantation patients remains controversial.
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