中国肾移植患者他克莫司治疗药物监测网络平台的研制开发

The therapeutic drug monitoring network server of tacrolimus for Chinese renal transplant patients

构建中国肾移植患者他克莫司治疗药物监测网络平台,方便医生管理患者信息,并且为患者提供群体、亚群体和个体3个不同层次的治疗药物监测。通过使用数据库管理系统MySQL软件建立和管理医生信息数据库以及患者信息数据库,使用超文本标记语言(hypertext mark-up language,HTML)和Java语言的JSP(Java server pages)技术研制患者信息数据库的网络管理平台,为医生提供数据库管理功能;在已建立好的群体药物动力学模型的基础上,运用以上编程语言研制群体和亚群体预测功能模块;根据贝叶斯原理和最大后验概率密度函数,建立目标函数,选择最优化算法,研制个体预测功能模块。网络平台能够为医生提供管理患者数据库功能和3个水平的预测功能,为肾移植患者服用他克莫司个体化给药提供指导,并为其他药物的治疗药物监测网络平台的研制提供模板。

This study is to develop a therapeutic drug monitoring（TDM） network server of tacrolimus for Chinese renal transplant patients,which can facilitate doctor to manage patients＇ information and provide three levels of predictions.Database management system MySQL was employed to build and manage the database of patients and doctors＇ information,and hypertext mark-up language（HTML） and Java server pages（JSP） technology were employed to construct network server for database management.Based on the population pharmacokinetic model of tacrolimus for Chinese renal transplant patients,above program languages were used to construct the population prediction and subpopulation prediction modules.Based on Bayesian principle and maximization of the posterior probability function,an objective function was established,and minimized by an optimization algorithm to estimate patient＇s individual pharmacokinetic parameters.It is proved that the network server has the basic functions for database management and three levels of prediction to aid doctor to optimize the regimen of tacrolimus for Chinese renal transplant patients.