Limited sampling model for vinblastine pharmacokinetics.

Cancer treatment reports Pub Date : 1987-10-01
M J Ratain, N J Vogelzang
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Abstract

A limited sampling model was developed for vinblastine to estimate the total area under the concentration time curve (AUC) using only two timepoints. Detailed pharmacokinetic analysis (16 timepoints) was performed in 30 patients treated with a small bolus dose (3 mg/m2) of vinblastine. A model for the total AUC was developed by multiple linear regression, using the first 15 patients as the training data set: AUC = 38.0 C10 + 73.8 C36 - 12.9, where C10 and C36 represent the serum vinblastine concentration at 10 hours and 36 hours, respectively (r = 0.99, P less than 0.0001). The model was validated on the other 15 patients, the test data set (r = 0.94, P less than 0.0001), with a mean predictive error of 13%. Limited sampling models may facilitate large-scale pharmacodynamic studies of new anticancer drugs, in order to relate the estimated AUC to toxicity and/or response without the need for detailed pharmacokinetic analysis.

长春花碱药代动力学的有限抽样模型。
建立了长春碱的有限采样模型,仅用两个时间点估计浓度时间曲线下的总面积(AUC)。对30例小剂量(3mg /m2)长春花碱治疗的患者进行了详细的药代动力学分析(16个时间点)。以前15例患者为训练数据集,通过多元线性回归建立总AUC模型:AUC = 38.0 C10 + 73.8 C36 - 12.9,其中C10和C36分别代表10小时和36小时的血清长春碱浓度(r = 0.99, P < 0.0001)。在另外15例患者的试验数据集上验证该模型(r = 0.94, P < 0.0001),平均预测误差为13%。有限的抽样模型可以促进新的抗癌药物的大规模药效学研究,以便在不需要详细的药代动力学分析的情况下将估计的AUC与毒性和/或反应联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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