Han Sungpil, Cho Yong-Soon, Yoon Seok-Kyu, Kim Hyungsub, Bae Kyun-Seop
Department of Clinical Pharmacology and Therapeutics, Asan Medical Center, University of Ulsan, Seoul 05505, Republic of Korea.
Transl Clin Pharmacol. 2017 Sep;25(3):141-146. doi: 10.12793/tcp.2017.25.3.141. Epub 2017 Sep 15.
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.
咖啡因是一种天然存在的中枢神经系统兴奋剂,存在于包括咖啡、可可豆和茶叶在内的植物成分中。通过饮用含咖啡因饮料摄入咖啡因的情况在儿童、青少年和年轻人中迅速增加,这些人群往往比普通大众对咖啡因更敏感;因此,这些群体中与咖啡因相关的毒性事件数量也在增加。然而,尚未开发出一种用于预测可能导致咖啡因中毒的血浆咖啡因浓度的定量交互式工具。利用先前建立的群体药代动力学模型,我们使用Shiny和EDISON(通过网络模拟进行教育研究整合)开发了R包及其基于网络的应用程序。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它们的变化。该R包有助于了解血浆咖啡因浓度如何随时间变化,以及咖啡因敏感群体中咖啡因中毒浓度能持续多长时间。当出现可疑的急性症状时,它还可能有助于临床评估咖啡因摄入量与毒性之间的关系。