首页> 外文期刊>Transplantation: Official Journal of the Transplantation Society >Absorption profiling of cyclosporine microemulsion (neoral) during the first 2 weeks after renal transplantation.
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Absorption profiling of cyclosporine microemulsion (neoral) during the first 2 weeks after renal transplantation.

机译:肾移植后前两周环孢素微乳剂(神经)的吸收曲线。

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摘要

BACKGROUND: Evidence suggests that optimal immunosuppressive drug exposure must be achieved early posttransplant to minimize the risk of acute graft rejection. This study was designed to examine the absorption profile of Neoral during the first 2 weeks after renal transplantation, to develop simple sparse-sampling pharmacokinetic methods to predict exposure, and to explore the target range for optimal clinical immunosuppression under conditions of normal clinical practice. METHODS: The prospective multicenter study was conducted in six Canadian renal transplant centers in patients receiving Neoral-based immunosuppression. Full (8-point) pharmacokinetic studies were performed on days 3, 7, and 14 posttransplant in a nested subset of patients, and the occurrence and severity of acute rejection, infection or other adverse effects, routine laboratory parameters, and vital signs were assessed on days 3, 7, 14, and 28. RESULTS: A total of 38 adult kidney graft recipients were studied, of whom a nested subset of 16 patients had complete 12-hr pharmacokinetic (PK) data on all 3 sampling days. Mean area under the time-concentration curve over the entire 12-hr dosage interval (AUC[0-12]) was 9249+/-3236 microg.hr/L by day 3 and did not change significantly throughout the study, although dose-corrected AUC[0-12] rose by 20% from 1924+/-671 microg.hr/L on day 3 to 2316+/-697 microg.hr/L on day 14 (P=0.067). Mean AUC[0-4] was 4566+/-1463 microg.hr/L by day 3 and also did not change significantly, although the dose-adjusted AUC[0-4] rose by 31% from 952+/-317 microg.hr/L on day 3 to 1250+/-697 microg.hr/L on day 14 (P=0.009). AUC[0-4] represented 52% of the AUC[0-12] values across the three PK study days and closely predicted this latter value (R2=0.803 day 3, R2=0.972 day 14). Cyclosporine (CsA) concentration profiles became more uniform throughout the first 14 days posttransplant, with a reduction in Tmax from 2.45 to 1.48 hr (P<0.005) and a significant decrease in coefficient of variation for AUC[0-12] (35% vs. 21%, P<0.005) and for Tmax (47.4% vs. 33.1%, P<0.005). Predosage trough level (C0) was a poor predictor of drug exposure, with R2 values less than 0.5 for AUC[0-4] and 0.7 for AUC[0-12] at all time points. Sparse sample modeling identified three 3-point sparse-sampling strategies that predicted AUC[0-12] and AUC[0-4] with R2 values approaching or exceeding 0.9 on all three study days; C2 or C3 seemed to be the most important single predictor, with R2 values > 0.80. Ten of the 36 treated patients (27.8%) experienced 13 episodes of acute rejection by 28 days posttransplant. Longitudinal logistic regression showed no association between C0 and rejection, but lower AUC[0-12] values were marginally (P=0.099) and lower AUC[0-4] values were significantly (P=0.046) associated with increased risk of rejection. CsA exposure on day 7 (n=29) was significantly lower in patients who experienced acute rejection in the second week than in those who were rejection free whether measured by AUC[0-12] (7976+/-1476 vs. 10,239+/-2759 microg.hr/L; P=0.048), AUC[0-4] (4027+/-412 vs. 5623+/-1389 microg.hr/L; P<0.0001), C2 (1116+/-183 vs. 1852+/-522 microg/L; P<0.0001), or Cmax (1415+/-323 vs. 2084+/-450 microg/L; P=0.005), and rejection was significantly less common in patients with an AUC[0-4]> 4,500 microg.hr/L (7% vs. 40%; P=0.041) or a C2 level>1500 microg/L (0% vs. 58%; P<0.001) on day 7 (sensitivity, 100%; specificity, 75%; positive predictive value, 58%; negative predictive value, 100%). There was no evident relationship between CsA exposure and renal toxicity within this patient sample. CONCLUSIONS: Absorption of CsA is highly heterogeneous immediately posttransplant, although the pharmacokinetic profile normalizes, interpatient variability decreases, and CsA absorption increases throughout the first 2 weeks permitting a reduction in Neoral dose to achieve constant exposure. Trough (C0) levels do not accurately predict CsA exposure or rejection ri
机译:背景:有证据表明,移植后必须尽早实现最佳的免疫抑制药物暴露,以最大程度地减少急性移植排斥反应的风险。这项研究旨在检查肾移植后头2周内Neoral的吸收情况,开发简单的稀疏采样药代动力学方法来预测暴露量,并探索在正常临床实践条件下最佳临床免疫抑制的目标范围。方法:前瞻性多中心研究在六个加拿大肾脏移植中心进行,这些患者接受基于神经的免疫抑制。在患者的嵌套子集中分别于移植后第3、7和14天进行了完整的(8点)药代动力学研究,并评估了急性排斥反应,感染或其他不良反应的发生和严重程度,常规实验室参数和生命体征结果:在第3、7、14和28天进行了研究。总共对38位成年肾移植受者进行了研究,其中16位患者的嵌套子集在所有3个采样日中具有完整的12小时药代动力学(PK)数据。到第3天,在整个12小时剂量间隔内的时间浓度曲线下的平均面积(AUC [0-12])为9249 +/- 3236 microg.hr/L,在整个研究过程中均无明显变化,校正后的AUC [0-12]从第3天的1924 +/- 671 microg.hr/L上升到第14天的2316 +/- 697 microg.hr/L,增加了20%(P = 0.067)。到第3天,平均AUC [0-4]为4566 +/- 1463 microg.hr/L,并且也没有明显变化,尽管剂量调整后的AUC [0-4]从952 +/- 317 microg增加了31%第3天的hr / L至第14天的1250 +/- 697 microg.hr/L(P = 0.009)。在三个PK研究日中,AUC [0-4]代表AUC [0-12]值的52%,并密切预测了后者的值(R2 = 0.803第3天,R2 = 0.972第14天)。环孢素(CsA)浓度分布在移植后的前14天变得更加均匀,Tmax从2.45小时减少到1.48小时(P <0.005),AUC [0-12]的变异系数显着降低(35%vs对于Tmax(47.4%vs. 33.1%,P <0.005)为21%,P <0.005)。给药前谷底水平(C0)不能很好地预测药物暴露,在所有时间点,AUC [0-4]的R2值小于0.5,而AUC [0-12]的R2值小于0.7。稀疏的样本建模确定了三个三点稀疏采样策略,它们在所有三个研究日中预测R2值均接近或超过0.9的AUC [0-12]和AUC [0-4]。 C2或C3似乎是最重要的单个预测变量,R2值> 0.80。在移植后28天,接受治疗的36名患者中有10名(27.8%)经历了13次急性排斥反应。纵向Logistic回归显示C0与排斥反应之间没有关联,但较低的AUC [0-12]值略有(P = 0.099),较低的AUC [0-4]值与排斥率增加相关,具有显着性(P = 0.046)。无论是通过AUC [0-12]进行测量,第二周经历急性排斥反应的患者在第7天的CsA暴露量(n = 29)显着低于无排斥反应的患者(7976 +/- 1476 vs. 10,239 + / -2759 microg.hr/L; P = 0.048),AUC [0-4](4027 +/- 412 vs. 5623 +/- 1389 microg.hr/L; P <0.0001),C2(1116 +/- 183) vs. 1852 +/- 522 microg / L; P <0.0001)或Cmax(1415 +/- 323 vs. 2084 +/- 450 microg / L; P = 0.005),并且在患有第7天的AUC [0-4]> 4,500 microg.hr/L(7%vs. 40%; P = 0.041)或C2水平> 1500 microg / L(0%vs. 58%; P <0.001)(敏感性为100%;特异性为75%;阳性预测值为58%;阴性预测值为100%)。在该患者样品中,CsA暴露与肾脏毒性之间没有明显的关系。结论:尽管药代动力学特征正常化,患者之间的变异性降低,并且在最初的两周内CsA吸收增加,允许减少神经剂量以实现恒定的暴露,但移植后即刻CsA的吸收高度异质。低谷(C0)水平不能准确预测CsA暴露或排斥反应ri

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