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对于接受霉酚酸酯和他克莫司治疗的肾移植术后儿童,采用由C0、C1、C2和C4计算得出的简化霉酚酸曲线下面积更为可取。

Abbreviated mycophenolic acid AUC from C0, C1, C2, and C4 is preferable in children after renal transplantation on mycophenolate mofetil and tacrolimus therapy.

作者信息

Filler Guido

机构信息

Division of Pediatric Nephrology, Department of Pediatrics, Children's Hospital of Eastern Ontario, University of Ottawa, 401 Smyth Road, Ottawa, Ontario, K1H 8L1, Canada.

出版信息

Transpl Int. 2004 Mar;17(3):120-5. doi: 10.1007/s00147-003-0678-z. Epub 2004 Jan 29.

Abstract

In order to allow a similar algorithm to be used for both adults and children on tacrolimus-based and mycophenolate mofetil [MMF, a pro-drug for mycophenolic acid (MPA)]-based immunosuppression, a limited sampling technique from the trough level (C0) and the levels 30 min (C0.5) and 2 h (C2) after intake was to be developed from MPA area under the time-concentration curves (AUC). We retrospectively analyzed 49 full ten-point pharmacokinetic (PK) profiles from 29 pediatric patients on MMF and tacrolimus. We used stepwise multiple regression analysis to calculate limited sampling approaches. Agreement with the AUC was tested by means of Bland and Altman analysis. The correlation between AUC and pre-dose trough concentration was r(2)=0.5188 ( P<0.0001) and between AUC and post-dose trough concentration r(2)=0.6924 ( P<0.0001). The next best correlations were with 2 h (C2, r(2)=0.6711, P<0.0001), 4 h (C4, r(2)=0.6411, P<0.0001), 1.5 h (C1.5, r(2)=0.6344, P<0.0001), and 6 h (C6, r(2)=0.6219, P<0.0001). Three-point estimates at C0, C0.5, and C2 resulted in an acceptable correlation between predicted AUC and AUC from the full profile when we used the formula AUC = 10.01391+3.94791xC0+3.24253xC0.5+1.0108xC2, Pearson's r=0.8996, 95% confidence interval 0.8277-0.9424. However, even better results could be obtained when we used AUC = 8.217+3.163xC0+0.994xC1+1.334xC2+4.183xC4, Pearson's r=0.9456, 95% confidence interval 0.9051-0.9691. Bland and Altman analysis revealed good agreement between AUC predicted from C0, C0.5, and C2 and AUC from the full profile, but was inferior to the four-point approach. Also, the previously reported formula derived for adults was not usable in these patients. A special formula must be used for children. The AUC of MPA can be predicted by limited sampling including C0, C0.5, and C2, while an approach using C0, C1, C2, and C4 is preferable.

摘要

为了使基于他克莫司和霉酚酸酯(MMF,霉酚酸(MPA)的前体药物)的免疫抑制方案中,类似的算法能够同时应用于成人和儿童,需要从MPA的时间-浓度曲线下面积(AUC)中开发一种基于谷浓度(C0)以及服药后30分钟(C0.5)和2小时(C2)血药浓度的有限采样技术。我们回顾性分析了29例接受MMF和他克莫司治疗的儿科患者的49份完整的十点药代动力学(PK)曲线。我们使用逐步多元回归分析来计算有限采样方法。通过Bland和Altman分析检验预测AUC与实际AUC的一致性。AUC与给药前谷浓度之间的相关性r(2)=0.5188(P<0.0001),与给药后谷浓度之间的相关性r(2)=0.6924(P<0.0001)。接下来相关性较好的是与2小时(C2,r(2)=0.6711,P<0.0001)、4小时(C4,r(2)=0.6411,P<0.0001)、1.5小时(C1.5,r(2)=0.6344,P<0.0001)和6小时(C6,r(2)=0.6219,P<0.0001)的血药浓度。当我们使用公式AUC = 10.01391 + 3.94791×C0 + 3.24253×C0.5 + 1.0108×C2时,C0、C0.5和C2的三点估计值在预测AUC与完整曲线的AUC之间产生了可接受的相关性,Pearson相关系数r = 0.8996,95%置信区间为0.8277 - 0.9424。然而,当我们使用AUC = 8.217 + 3.163×C0 + 0.994×C1 + 1.334×C2 + 4.183×C4时,能得到更好的结果,Pearson相关系数r = 0.9456,95%置信区间为0.9051 - 0.9691。Bland和Altman分析显示,由C0、C0.5和C2预测的AUC与完整曲线的AUC之间具有良好的一致性,但不如四点法。此外,之前报道的针对成人的公式在这些患者中不可用。儿童必须使用特殊公式。MPA的AUC可以通过包括C0、C0.5和C2的有限采样来预测,而使用C0、C1、C2和C4的方法更优。

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