Wang CH, Chou NK, Wu FLL, Ko WJ, Tsao CI, Chi NH, Hsu RB, Wang SS. Therapeutic Drug Monitoring of Cyclosporine Neoral in de Novo Chinese Cardiac Transplant Recipients Treated with an Everolimus-Cyclosporine Immunosuppressive Regimen.
Transplant Proc 2006;
38:2132-4. [PMID:
16980022 DOI:
10.1016/j.transproceed.2006.06.050]
[Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
UNLABELLED
This study determined cyclosporine Neoral (CsA) pharmacokinetics and the accuracy of a limited sampling strategy to predict the 12-hour CsA area-under-the-curve (AUC) to provide a practical method for more accurate therapeutic drug monitor of CsA among de novo Chinese heart transplant recipients treated with an everolimus-CsA immunosuppressive regimen.
METHODS
Blood samples were collected at 0, 0.5, 1, 2, 3, 4, 6, 8, 10, and 12 hours after oral administration of CsA in six de novo heart recipients receiving a CsA, everolimus, and methylprenisolone immunosuppressive regimen after rabbit antithymoglobulin sequential immuno-induction. We analyzed the pharmacokinetics of the first dose (PK-1) and steady state dose (PK-2) at 1 month after transplantation. The accuracy of a single-point sampling method to predict the AUC was generated by linear regression analyses.
RESULTS
The t(max) and dose-normalized C(max) of PK-1 and PK-2 were similar. The correlations in single-point blood levels of PK-1 to predict the AUC(0-infinity) were much lower than the corresponding sampling times in PK-2. In PK-2 study, C4 had the best correlation (r(2) = 0.913, P = .003) to predict AUC(0-12). In addition, the trough concentrations, C(0) (r(2) = 0.875, P = .006) and C(12) (r(2) = 0.783, P = .02) also showed good correlations. C2 had insufficient correlation to predict AUC(0-infinity) in PK-1 or AUC(0-12) in the PK-2 study. In conclusion, the absorption of CsA was similar during PK-1 and PK-2. At steady dose, C4 had the best single-point correlation to predict AUC(0-12). Trough blood levels may be more practical in clinical use to monitor CsA.
Collapse