Predicting caffeine plasma concentrations resulting from consumption of food or beverages: a simple method and its origin.

R W Pfeifer, R E Notari
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引用次数: 23

Abstract

Multiple dosage regimens for therapeutic agents are commonly comprised of a constant dosing interval and a constant dose size. This is not true for the ingestion of a pharmacologically active agent that is a component in a dietary source. Caffeine is contained in foods and beverages that are regular components of the diet for many people. Because daily intake is unsystematic, a computer program was written to simulate caffeine plasma concentration-time courses following ingestion of variable amounts on irregular schedules. Literature values for caffeine pharmacokinetics, for the caffeine content in various foods and beverages, and for consumer habits were employed to simulate various caffeine plasma concentration-time courses. By searching for predictable traits in a wide variety of plasma concentration-time courses representing normal adults, a simple noncomputer method was developed to allow individuals to estimate caffeine plasma concentrations based on personal intake habits. Changes in the time courses due to smoking, oral contraceptive use, and liver disease, all of which alter caffeine pharmacokinetics, were also examined.

预测食物或饮料摄入导致的咖啡因血浆浓度:一种简单的方法及其来源。
治疗剂的多剂量方案通常由恒定的给药间隔和恒定的剂量大小组成。这对于作为膳食来源成分的药理学活性物质的摄入是不正确的。咖啡因存在于许多人日常饮食中的食物和饮料中。由于每天摄入的咖啡因是不系统的,因此编写了一个计算机程序来模拟在不定期摄入不同量的咖啡因后的血浆浓度-时间过程。采用咖啡因药代动力学、各种食品和饮料中的咖啡因含量以及消费者习惯的文献值来模拟不同的咖啡因血浆浓度-时间过程。通过在代表正常成年人的各种血浆浓度-时间过程中寻找可预测的特征,开发了一种简单的非计算机方法,允许个人根据个人摄入习惯估计咖啡因的血浆浓度。吸烟、口服避孕药和肝脏疾病引起的时间变化也会改变咖啡因的药代动力学。
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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