[The therapeutic drug monitoring network server of tacrolimus for Chinese renal transplant patients].
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.
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Chen-Hui
CH
Deng
Guan-Min
GM
Zhang
Shan-Shan
SS
Bi
Tian-Yan
TY
Zhou
Wei
W
Lu
D000465:Algorithms; D001499:Bayes Theorem; D003628:Database Management Systems; D016903:Drug Monitoring / Q000379:methods*; D006801:Humans; D007166:Immunosuppressive Agents / Q000008:administration & dosage / Q000493:pharmacokinetics*; D016030:Kidney Transplantation; D008954:Models, Biological; D016559:Tacrolimus / Q000008:administration & dosage / Q000493:pharmacokinetics*
D007166:Immunosuppressive Agents; D016559:Tacrolimus