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Caffsim: simulation of plasma caffeine concentrations implemented as an R package and Web-applications

机译:Caffsim:作为R软件包和Web应用程序实现的血浆咖啡因浓度的模拟

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摘要

Caffeine is a naturally-occurring central nervous system stimulant found in plant constituents including coffee, cocoa beans, and tea leaves. Consumption of caffeine through imbibing caffeinated drinks is rapidly growing among children, adolescents, and young adults, who tend to be more caffeine-sensitive than the rest of the general public; consequently, caffeine-related toxicities among these groups are also growing in number. However, a quantitative and interactive tool for predicting the plasma caffeine concentration that may lead to caffeine intoxication has yet to be developed. Using the previously established population-pharmacokinetic model, we developed “ ” R package and its web-based applications using Shiny and EDISON (EDucation-research Integration through Simulation On the Net). The primary aim of the software is to easily predict and calculate plasma caffeine concentration and pharmacokinetic parameters and visualize their changes after single or multiple ingestions of caffeine. The R package helps understand how plasma caffeine concentration changes over time and how long toxic concentration of caffeine can last in caffeine-sensitive groups. It may also help clinical evaluation of relationship between caffeine intake and toxicities when suspicious acute symptoms occur.
机译:咖啡因是一种天然存在的中枢神经系统兴奋剂,存在于植物成分中,包括咖啡,可可豆和茶叶。在儿童,青少年和年轻人中,通过摄入含咖啡因的饮料而消耗的咖啡因正在迅速增加,与一般公众相比,他们对咖啡因的敏感性更高。因此,这些人群中咖啡因相关的毒性也在增加。然而,用于预测血浆咖啡因浓度可能导致咖啡因中毒的定量和交互式工具尚未开发。使用先前建立的种群-药代动力学模型,我们使用Shiny和EDISON(通过网络模拟进行教育研究集成)开发了“” R软件包及其基于Web的应用程序。该软件的主要目的是轻松预测和计算血浆咖啡因浓度和药代动力学参数,并可视化单次或多次摄入咖啡因后的变化。 R软件包有助于了解血浆咖啡因浓度如何随时间变化以及在对咖啡因敏感的人群中咖啡因的毒性浓度可以持续多长时间。当可疑的急性症状出现时,它也可以帮助咖啡因摄入与毒性之间关系的临床评估。

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