Decision Support Tool to Individualize Cyclosporine Dose in Stable, Long-term Heart Transplant Recipients Receiving Metabolic Inhibitors: Overcoming Limitations of Cyclosporine C2 Monitoring

A Bayesian decision support tool is described that can predict CsA AUC0-12 in a cohort of patients with variable CsA absorption who received metabolic inhibitors. Bayesian modeling offers a number of advantages over single point metrics that are used to adjust CsA dose and may provide another refinement to optimize CsA therapy.