用自发报告系统评估抗精神病药物诱导的神经乱性恶性综合征
Sakiko Hirofuji1, Koumi Miyasaka1, Mika Maezawa1
1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku-nishi, Gifu, 501-1196, Japan.
Heliyon
|November 30, 2023
概括
这项研究使用JADER数据库分析了抗精神病药物和神经乱性恶性综合征 (NMS). 它确定了与特定不良事件相关的典型和非典型抗精神病药物的独特集群,有助于NMS管理.
科学领域:
- 药物监督 药物监督 药物监督
- 临床药理学 临床药理学
- 药品安全 药品安全
背景情况:
- 神经乱性恶性综合征 (NMS) 是一种与抗精神病药物相关的严重不良事件 (AE).
- 了解不同类型抗精神病药物的特定风险对于患者安全至关重要.
研究的目的:
- 通过集群和关联分析,全面评估抗精神病药物和NMS之间的关联.
- 为了确定与NMS相关的典型抗精神病药物 (TAP) 和非典型抗精神病药物 (AAP) 相关的AE模式.
主要方法:
- 使用了日本药物不良事件报告 (JADER) 数据库 (2004年4月 - 2021年9月).
- 雇员报告几率 (RORs) 用于AE信号检测和分层集群分析 (Ward的方法) 来分组药物.
- 使用标准化MedDRA查询 (SMQ代码:20000044) 分析了NMS.
主要成果:
- 根据相关的AE确定了三种不同类型的抗精神病药物.
- 集群1 (TAP) 显示了高低血压,心动减速,动力障碍和 dystonia 的高率.
- 集群2 (AAP和一些TAP) 报告的意识障碍,额外金字塔障碍和血清激素综合征的比率更高.
- 集群3 (перфеназин) 与昏迷,白细胞症和帕金森症有关.
结论:
- 抗精神病药物表现出与NMS有关的不同的AE概况.
- 通过区分各种抗精神病药物的风险,研究结果为管理NMS提供了洞察力.
- 这项研究支持针对抗精神病药物选择和AE监测的知情临床决策.
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