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1.
Chinese Pharmaceutical Journal ; (24): 1703-1708, 2018.
Artículo en Chino | WPRIM | ID: wpr-858203

RESUMEN

OBJECTIVE :To introduce two commonly used algorithms for warfarin individualized medication——multiple regression analysis(MRA)and maximum a posterior Bayesian (MAPB), and provide reference for individualized medication of warfarin in clinical practice. METHODS: The principles of MRA and MAPB for warfarin individualized medication, as well as the decision support tools to realize MRA and MAPB, were introduced. The function of MAPB tool, including formulating an initial dosage regimen, adjusting the regimen and its application in special clinical situations, was described by five typical cases.RESULTS AND CONCLUSION :MLR is simple to calculate, however, it can only be used to formulate the initial dosage regimen and dose adjustment cannot be carried out, which limits it clinical application in a certain extent. The application of MAPB can not only develop individualized medication of warfarin and adjust dose according to international normalized ratio(INR) with satisfactory prediction performance, but also be applied in special cases with better flexibility, such as judging medication adherence and instructing withdrawal. It could serve as an effective decision support tool to be promoted vigorously, which has a promising prospect.

2.
Chinese Pharmaceutical Journal ; (24): 163-166, 2014.
Artículo en Chino | WPRIM | ID: wpr-859879

RESUMEN

OBJECTIVE: To develop software for individualized dosage regimen of valproic acid and carbamazepine according to population pharmacokinetics and Bayesian estimation method. METHODS: Based on the prior population pharmacokinetic (PPK) information, Microsoft Excel 2010 was employed as the input-output interface to run the PPK program, Nonlinear Mixed Effect Modeling (NONMEM), to estimate the PK parameters and design the regimen. RESULTS: The software fulfills the functions of patient information management, initial dosage design, dosage calculation by maximum a posterior Bayesian estimation (MAPB) and compliance assessment. CONCLUSION: The established software provides a powerful tool in the clinical settings to facilitate the individualized therapy for the epilepsy patients.

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