以艾司西酞普兰和药物遗传剂量指南为重点的瑞士人群的抗抑郁药物转换:一项使用索赔数据的药物利用研究。

IF 2.9 3区 医学 Q2 GENETICS & HEREDITY
M M Roth, C R Meier, C A Huber, H E Meyer Zu Schwabedissen, S Allemann, C Schneider
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引用次数: 0

摘要

瑞士约10%的人口患有抑郁症。虽然通常会开ssri类药物,但只有30-40%的患者获得缓解。药物遗传(PGx)因素可以部分解释SSRI治疗失败率高的原因。本研究检查了使用艾司西酞普兰的瑞士患者的抗抑郁药(AD)转换,重点关注他们是否切换到有PGx剂量指南的AD (PGx AD)或没有PGx剂量指南的AD(非PGx ADs)。瑞士健康保险记录的数据显示,在2020年7月至2022年6月期间,有4275名患者使用了艾司西酞普兰。而6.4% (n = 2638)的人转而使用另一种抗抑郁药,其中只有35.4%的人选择了PGx AD。男性,年轻的成年人表现出更高的转换率,而服用抗精神病药物的患者转换率较低。20岁以下的年轻人和女性更有可能转变为PGx AD,而老年人则不太可能转变为PGx AD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Antidepressant drug switching in the Swiss population with a focus on Escitalopram and drugs with pharmacogenetic dosing guidelines: a drug utilization study using claims data.

Antidepressant drug switching in the Swiss population with a focus on Escitalopram and drugs with pharmacogenetic dosing guidelines: a drug utilization study using claims data.

Depression affects around 10% of the Swiss population. While SSRIs are commonly prescribed, only 30-40% of patients achieve remission. Pharmacogenetic (PGx) factors may explain part of this high rate of SSRI treatment failure. This study examined antidepressant (AD) switching among Swiss patients using escitalopram, focusing on whether they switched to ADs with PGx dosing guidelines (PGx AD) or ADs without PGx dosing guidelines (non-PGx ADs). Data from Swiss health insurance records identified 41 275 patients who used escitalopram between July 2020 and June 2022. While 6.4% (n = 2 638) switched to another antidepressant, only 35.4% of these opted for a PGx AD. Men, younger adults showed higher switching rates, whereas patients on antipsychotic medications switched less. Individuals younger than 20 years old and women were more likely to switch to PGx AD whereas the elderly were less likely to switch to PGx AD.

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来源期刊
Pharmacogenomics Journal
Pharmacogenomics Journal 医学-药学
CiteScore
7.20
自引率
0.00%
发文量
35
审稿时长
6-12 weeks
期刊介绍: The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications. Key areas of coverage include: Personalized medicine Effects of genetic variability on drug toxicity and efficacy Identification and functional characterization of polymorphisms relevant to drug action Pharmacodynamic and pharmacokinetic variations and drug efficacy Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics Clinical applications of genomic science Identification of novel genomic targets for drug development Potential benefits of pharmacogenomics.
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