Wang C H, Ko W J, Chou N K, Wang S S
Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Transplant Proc. 2004 Oct;36(8):2390-2. doi: 10.1016/j.transproceed.2004.08.025.
This study determined the accuracy of a limited sampling strategy to predict the 12-hour cyclosporine neoral (CsA) area-under-the-curve (AUC) to provide a practical method for more accurate therapeutic drug monitoring (TDM) of CsA in Chinese heart transplant recipients.
Blood samples were collected at 0 (before the dose), and 0.5, 1, 2, 3, 4, 6, 8, 10, as well as 12 hours after CsA oral administration in 13 de novo heart recipients receiving oral CsA bid after rabbit antithymoglobulin sequential immuno-induction. Pharmacokinetics were analyzed for the first dose (PK-1) and the steady state dose (PK-2, 1 month after transplantation). The limited sampling strategies included single-point, 2-point, and 3-point prediction of AUC using multiple linear regression analyses.
Comparing the AUC/mg dose, PK-1 was much lower than PK-2 (25.2 +/- 11.4 ng x h/mg x mL vs 45.4 +/- 12.9 ng x h/mg x mL; P = .0005 using paired t test). The correlations of each single-point blood level of PK-1 with the AUC were lower than those of the corresponding sampling time in PK-2. In the PK-2 study, C4 had the best correlation (r2 = 0.732; P = .00) as a single-point to predict AUC, but the 2-point C2 + C12 had a higher correlation (r2 = 0.937; P = .00). Among the 3-point combinations, C2 + C4 + C12 showen the best prediction (r2 = 0.982; P = .00) of the AUC in PK-2.
The bioavailability of CsA was lower in PK-1 than in PK-2. At steady state, we recommend C2 + C12 to predict AUC because it is accurate and not labor-intensive.
本研究确定了一种有限采样策略预测12小时环孢素新山地明(CsA)曲线下面积(AUC)的准确性,以提供一种更准确地对中国心脏移植受者进行CsA治疗药物监测(TDM)的实用方法。
对13例接受兔抗胸腺细胞球蛋白序贯免疫诱导后口服CsA bid的初发心脏受者,在口服CsA后0(给药前)、0.5、1、2、3、4、6、8、10以及12小时采集血样。对首剂(PK-1)和稳态剂量(PK-2,移植后1个月)进行药代动力学分析。有限采样策略包括使用多元线性回归分析对AUC进行单点、两点和三点预测。
比较AUC/毫克剂量,PK-1远低于PK-2(25.2±11.4 ng·h/mg·mL对45.4±12.9 ng·h/mg·mL;配对t检验,P = 0.0005)。PK-1的各单点血药浓度与AUC的相关性低于PK-2中相应采样时间的相关性。在PK-2研究中,作为预测AUC的单点,C4相关性最佳(r2 = 0.732;P = 0.00),但两点组合C2 + C12相关性更高(r2 = 0.937;P = 0.00)。在三点组合中,C2 + C4 + C12对PK-2中AUC的预测最佳(r2 = 0.982;P = 0.00)。
CsA在PK-1中的生物利用度低于PK-2。在稳态时,我们推荐使用C2 + C12预测AUC,因为其准确且不耗费人力。