RESUMO
BACKGROUND: Individualization of mycophenolate mofetil (MMF) dosing based on mycophenolic acid (MPA) therapeutic drug monitoring may minimize the risk of organ transplant rejection. The MPA area under the 12-hour concentration-time curve (MPA-AUC(0-12h)) is a more powerful predictor of rejection than are MPA trough levels. Measurement of MPA-AUC(0-12h,) however, is difficult and clinically impractical. The limited sampling strategy (LLS) has been proposed to overcome this problem. OBJECTIVE: To validate the predictive performance of MPA LSS algorithms previously published for heart transplant (HTx) recipients (initial group) when applied to a new independent group of 29 HTx recipients (validation group) during the first year after transplantation. PATIENTS AND METHODS: In a previous study, we established 2 algorithms using a LSS in HTx recipients: (1) 5.568 + 0.902 x C(1.25) + 2.022 x C(2) + 4.594 x C(6) and (2) 3.8 + 1.025 . C(1.25) + 1.819 x C(2) + 1.566 x C(4) + 3.479 x C(6). Agreement between abbreviated AUC and the full AUC(0-12h) was tested using the Bland-Altman method. The validation group was used to test and assess bias and precision. RESULTS: The 2 LSS algorithms used predicted the corresponding MPA-AUC(0-12h) with a mean bias of -4.85% and -3.6% and mean precision of 15.9% and 14%, respectively. CONCLUSIONS: The MPA-AUC(0-12h) obtained using the LSS may be useful to guide clinical management and dosing. This study prospectively validates 2 algorithms for calculation of MPA-AUC(0-12h) using an LSS calculated in HTx recipients. Bias and precision values suggest that our algorithms could be used for MPA therapeutic drug monitoring predictions in HTx recipients who share the same characteristics.