Abstract

Tacrolimus is the key component of most contemporary immunosuppressive drug regimens for the prevention of transplant rejection. Area under the concentration time curve over 24 h (AUC0-24 ) predicts efficacy, but predose (trough) tacrolimus blood concentration (C0 ) is currently used to guide dosing. In clinical or research situations where an estimate of AUC is required, collection of a full 24 h pharmacokinetic (PK) profile is cumbersome. Limited sampling strategies (LSSs) have been developed for some tacrolimus preparations but not for the new, extended-release, once-daily formulation of tacrolimus, ENVARSUS XR. Twenty-four kidney transplant recipients were enrolled in this study. Twenty-four tacrolimus PK profiles were obtained over 24 h. Multiple linear regression was used to generate LSSs with the best subset selection for accurate estimation of tacrolimus AUC0-24 . The predictive performance of each model was assessed in the evaluation group. The correlation between actual and predicted AUC0-24 was evaluated and mean percentage prediction error (MPE%), mean absolute percentage prediction error (MAE%), and root mean squared error (RMSE) were calculated for each prediction model to assess bias and precision. The selected LSSs were highly correlated to AUC0-24 compared with the correlation between C0 and AUC0-24 . Two and three sampling points limited sampling strategies: C0 , C2 , and C10 provide the most reliable and effective LSS for estimation of tacrolimus AUC0-24 in routine clinic use. These limited sampling models can be applied in therapeutic drug monitoring schemes to personalize tacrolimus dosing for kidney transplant recipients on treatment with extended-release tacrolimus.