Drug-Drug Interactions and Initial Dosage Optimization of Quetiapine in Patients with Depression: A Real-World Study

药物相互作用及喹硫平在抑郁症患者中的初始剂量优化:一项真实世界研究

阅读:4

Abstract

OBJECTIVE: Quetiapine has been used for treating patients with depression; however, drug-drug interactions (DDIs) deeply limit its individualized administration. This study explored DDIs and initial dose recommendation of quetiapine in depression patients based on real-world data. METHODS: Sixty-four real-world depression patients were used to investigate the effects of drug combinations on quetiapine using a non-linear mixed effect model (NONMEM). RESULTS: In the final model, paroxetine and fluvoxamine were included as covariates, which significantly affected the clearance rate of quetiapine, with ratios of about 1.00:0.54:0.48:0.26 in patients with depression who were not accompanied by paroxetine or fluvoxamine, patients with depression who were accompanied by paroxetine, patients with depression who were accompanied by fluvoxamine, and patients with depression who were accompanied by paroxetine and fluvoxamine. Furthermore, the initial dose optimizations of quetiapine were 20 and 16 mg/kg/day for depression patients not accompanied by paroxetine or fluvoxamine who weighted 40-80, and 80-120 kg, respectively. The initial dose of quetiapine was 8 mg/kg/day for depression patients accompanied by paroxetine who weighted 40-120 kg. The initial dose of quetiapine was 8 mg/kg/day for depression patients accompanied by fluvoxamine, who weighted 40-120 kg. The initial dose optimization of quetiapine was 4 mg/kg/day for depression patients accompanied by paroxetine and fluvoxamine who weighted 40-120 kg. CONCLUSION: Our study explored DDIs and initial dose recommendation of quetiapine in depression patients from the real world, and the initial dose optimization of quetiapine was recommended based on the interaction with paroxetine or fluvoxamine.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。