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预测缓释制剂产生的血浆普鲁卡因酰胺浓度。

Predicting plasma procainamide concentrations resulting from a sustained-release preparation.

作者信息

DiPersio D M, Chow M S

出版信息

Clin Pharm. 1985 Mar-Apr;4(2):186-91.

PMID:3987218
Abstract

Two methods of predicting plasma procainamide concentrations (PPCs) for a sustained-release procainamide (SRP) dosage form were compared using previously published data on 12 healthy subjects. Methods A and B were both based on a one-compartment pharmacokinetic model requiring an elimination rate constant and area under the concentration-time curve from an immediate-release oral procainamide dosage form and in vitro dissolution data from the SRP product. Method A also used an absorption rate constant. The predicted versus measured PPCs for two sets of peak and trough concentrations in each subject were evaluated using linear regression. The mean predicted PPCs by both methods followed the measured PPCs closely; however, the time of peak concentration was predicted more accurately by method A. The evaluation of predictive performance showed good precision and a small but statistically significant bias with either method, peak values were overpredicted and trough values were underpredicted. These two methods adequately predicted plasma procainamide concentrations in healthy subjects following a sustained-release procainamide preparation.

摘要

利用先前发表的12名健康受试者的数据,比较了两种预测缓释普鲁卡因胺(SRP)剂型血浆普鲁卡因胺浓度(PPC)的方法。方法A和方法B均基于单室药代动力学模型,该模型需要速释口服普鲁卡因胺剂型的消除速率常数和浓度-时间曲线下面积,以及SRP产品的体外溶出数据。方法A还使用了吸收速率常数。使用线性回归评估每个受试者两组峰浓度和谷浓度的预测PPC与实测PPC。两种方法的平均预测PPC与实测PPC密切相关;然而,方法A对峰浓度出现时间的预测更准确。预测性能评估显示,两种方法均具有良好的精密度和小但具有统计学意义的偏差,峰值被高估,谷值被低估。这两种方法能够充分预测健康受试者服用缓释普鲁卡因胺制剂后的血浆普鲁卡因胺浓度。

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