Clinically useful limited sampling strategy to estimate area under the concentration-time curve of once-daily tacrolimus in adult Japanese kidney transplant recipients

BACKGROUND: An extended-release, once-daily, oral formulation of tacrolimus is currently used after kidney transplantation as a substitute for the conventional twice-daily formulation. The purpose of this study was to provide a limited sampling strategy with minimum and optimum sampling points to predict the tacrolimus area under the concentration-time curve (AUC) after administration of once-daily tacrolimus in de novo adult kidney transplant patients. METHODS: A total of 36 adult Japanese kidney transplant patients receiving once-daily tacrolimus were included: 31 were allocated to a study group to develop limited sampling strategy (LSS) model equations based on multiple stepwise linear regression analysis, and 5 were allocated to a validation group to estimate the precision of the LSS equations developed by the study group. Twelve-hour AUC (AUC(0-12)) was calculated by the trapezoidal rule, and the relationship between individual concentration points and AUC(0-12) were determined by multiple linear regression analysis. The coefficient of determination (R(2)) was used to assess the goodness-of-fit of the regression models. Three error indices (mean error, mean absolute error, and root mean squared prediction error) were calculated to evaluate predictive bias, accuracy, and precision, respectively. Quality of the statistical models was compared with Akaike's information criterion (AIC). RESULTS: A four-point model using C(0), C(2), C(4) and C(6) gave the best fit to predict AUC(0-12) (R(2) = 0.978). In the three- and two-point models, the best fits were at time points C(2), C(4), and C(6) (R(2) = 0.973), and C(2) and C(6) (R(2) = 0.962), respectively. All three models reliably estimated tacrolimus AUC(0-12), consistent with evaluations by the three error indices and Akaike’s information criterion. Practically, the two-point model with C(2) and C(6) was considered to be the best combination, providing a highly accurate prediction and the lowest blood sampling frequency. CONCLUSIONS: The two-point model with C(2) and C(6) may be valuable in reducing the burden on patients, as well as medical costs, for once-daily tacrolimus monitoring.