Department of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
School of Information Engineering, Engineering University of People's Armed Police, Xi'an, China.
Ann Pharmacother. 2024 Nov;58(11):1105-1116. doi: 10.1177/10600280241231116. Epub 2024 Feb 26.
Selective serotonin reuptake inhibitors (SSRIs) are the most frequently prescribed agents to treat depression. Considering the growth in antidepressant prescription rates, SSRI-induced adverse events (AEs) need to be comprehensively clarified.
This study was to investigate safety profiles and potential AEs associated with SSRIs using the Food and Drug Administration Adverse Event Reporting System (FAERS).
A retrospective pharmacovigilance analysis was conducted using the FAERS database, with Open Vigil 2.1 used for data extraction. The study included cases from the marketing date of each SSRI (ie, citalopram, escitalopram, fluoxetine, paroxetine, fluvoxamine, and sertraline) to April 30, 2023. We employed the reporting odds ratio and Bayesian confidence propagation neural network as analytical tools to assess the association between SSRIs and AEs. The Medical Dictionary for Regulatory Activities was used to standardize the definition of AEs. AE classification was achieved using system organ classes (SOCs).
Overall, 427 655 AE reports were identified for the 6 SSRIs, primarily associated with 25 SOCs, including psychiatric, nervous system, congenital, familial, genetic, cardiac, and reproductive disorders. Notably, sertraline ( = 967) and fluvoxamine ( = 169) exhibited the highest and lowest signal frequencies, respectively. All SSRIs had relatively strong signals related to congenital, psychiatric, and nervous disorders.
Most of our findings are consistent with those reported previously, but some AEs were not previously identified. However, AEs attributed to SSRIs remain ambiguous, warranting further validation. Applying data-mining methods to the FAERS database can provide additional insights that can assist in appropriately utilizing SSRIs.
选择性 5-羟色胺再摄取抑制剂(SSRIs)是治疗抑郁症最常开的药物。考虑到抗抑郁药处方率的增长,需要全面阐明 SSRI 引起的不良事件(AE)。
本研究旨在使用食品和药物管理局不良事件报告系统(FAERS)调查与 SSRIs 相关的安全性概况和潜在 AE。
使用 FAERS 数据库进行回顾性药物警戒分析,使用 Open Vigil 2.1 进行数据提取。该研究包括自每种 SSRI(即西酞普兰、艾司西酞普兰、氟西汀、帕罗西汀、氟伏沙明和舍曲林)上市日期至 2023 年 4 月 30 日的病例。我们采用报告比值比和贝叶斯置信传播神经网络作为分析工具来评估 SSRI 与 AE 之间的关联。使用监管活动医学词典来标准化 AE 的定义。使用系统器官类别(SOC)来实现 AE 分类。
总体而言,在 6 种 SSRIs 中,共确定了 427655 份 AE 报告,主要与 25 个 SOC 相关,包括精神科、神经系统、先天、家族性、遗传性、心脏和生殖系统疾病。值得注意的是,舍曲林( = 967)和氟伏沙明( = 169)的信号频率最高和最低。所有 SSRIs 与先天、精神和神经系统疾病均有较强的信号关联。
我们的大多数发现与以前报道的一致,但也有一些 AE 以前没有被识别。然而,SSRIs 引起的 AE 仍然不明确,需要进一步验证。应用数据挖掘方法分析 FAERS 数据库可以提供额外的见解,有助于合理使用 SSRIs。