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The therapeutic drug monitoring network server of tacrolimus for Chinese renal transplant patients / 药学学报
Acta Pharmaceutica Sinica ; (12): 828-833, 2011.
Article in Chinese | WPRIM | ID: wpr-233049
ABSTRACT
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Database Management Systems / Pharmacokinetics / Bayes Theorem / Kidney Transplantation / Tacrolimus / Drug Monitoring / Immunosuppressive Agents / Methods / Models, Biological Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Acta Pharmaceutica Sinica Year: 2011 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Database Management Systems / Pharmacokinetics / Bayes Theorem / Kidney Transplantation / Tacrolimus / Drug Monitoring / Immunosuppressive Agents / Methods / Models, Biological Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Acta Pharmaceutica Sinica Year: 2011 Type: Article