与新型抗癫痫药物相关的眼部疾病:FDA不良报告系统事件的现实世界歧化分析

Bairong Shen, Li Chen, J. Meana
{"title":"与新型抗癫痫药物相关的眼部疾病:FDA不良报告系统事件的现实世界歧化分析","authors":"Bairong Shen, Li Chen, J. Meana","doi":"10.3390/mol2net-07-11616","DOIUrl":null,"url":null,"abstract":", Abstract Background Newer antiepileptic drugs (AEDs), such as Levetiracetam (LEV), Lacosamide(LCM), Topiramate(TPM), Gabapentin(GBP), Oxcarbazepine(OXA), Lamotrigine(LTG) and Zonisamide(ZNS), are prescribed frequently for epilepsy by physicians. Simultaneously, they are known to be associated with a series of eye disorders. But very few studies have systemically compared eye disorders of newer AEDs in a large sample of patients diagnosed with epilepsy. Objective The aim of this study is to evaluate the association between eye disorders and several newer antiepileptic drugs (AEDs), including LEV, LTG, TPM, GBP, OXA, LCM, ZNS, as well as to look for differences in the frequency of AEs across individual AEDs, by data-mining a self-reporting database, the FDA Adverse Event Report System (FAERS). Methods The definition relied on system organ class (SOCs) and preferred terms (PTs) by the Medical Dictionary for Regulatory Activities (MedDRA). Disproportionality analysis was used to detect the risk signals from the data in the US Food and Drug Administration (FDA) adverse event reporting system database (FAERS). The reporting odds ratio (ROR), the proportional reporting ratio (PRR) and","PeriodicalId":136053,"journal":{"name":"Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Eye Disorders Associated with newer Antiepileptic drugs: A real-world disproportionality analysis of FDA Adverse Reporting System events\",\"authors\":\"Bairong Shen, Li Chen, J. Meana\",\"doi\":\"10.3390/mol2net-07-11616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\", Abstract Background Newer antiepileptic drugs (AEDs), such as Levetiracetam (LEV), Lacosamide(LCM), Topiramate(TPM), Gabapentin(GBP), Oxcarbazepine(OXA), Lamotrigine(LTG) and Zonisamide(ZNS), are prescribed frequently for epilepsy by physicians. Simultaneously, they are known to be associated with a series of eye disorders. But very few studies have systemically compared eye disorders of newer AEDs in a large sample of patients diagnosed with epilepsy. Objective The aim of this study is to evaluate the association between eye disorders and several newer antiepileptic drugs (AEDs), including LEV, LTG, TPM, GBP, OXA, LCM, ZNS, as well as to look for differences in the frequency of AEs across individual AEDs, by data-mining a self-reporting database, the FDA Adverse Event Report System (FAERS). Methods The definition relied on system organ class (SOCs) and preferred terms (PTs) by the Medical Dictionary for Regulatory Activities (MedDRA). Disproportionality analysis was used to detect the risk signals from the data in the US Food and Drug Administration (FDA) adverse event reporting system database (FAERS). The reporting odds ratio (ROR), the proportional reporting ratio (PRR) and\",\"PeriodicalId\":136053,\"journal\":{\"name\":\"Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/mol2net-07-11616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/mol2net-07-11616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景较新的抗癫痫药物(AEDs),如左乙拉西坦(LEV)、拉科沙胺(LCM)、托吡酯(TPM)、加巴喷丁(GBP)、奥卡西平(OXA)、拉莫三嗪(LTG)和唑尼沙胺(ZNS),是医生常用的治疗癫痫的药物。同时,已知它们与一系列眼部疾病有关。但是,很少有研究系统地比较了大量癫痫患者中新出现的aed的眼部疾病。目的通过对FDA不良事件报告系统(FAERS)的自我报告数据库进行数据挖掘,评估几种新型抗癫痫药物(AEDs)与眼部疾病的关系,包括LEV、LTG、TPM、GBP、OXA、LCM、ZNS,并寻找不同AEDs之间ae发生频率的差异。方法根据《调节活动医学词典》的系统器官分类(soc)和首选术语(PTs)进行定义。歧化分析用于从美国食品和药物管理局(FDA)不良事件报告系统数据库(FAERS)的数据中检测风险信号。报告优势比(ROR)、比例报告比(PRR)和
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eye Disorders Associated with newer Antiepileptic drugs: A real-world disproportionality analysis of FDA Adverse Reporting System events
, Abstract Background Newer antiepileptic drugs (AEDs), such as Levetiracetam (LEV), Lacosamide(LCM), Topiramate(TPM), Gabapentin(GBP), Oxcarbazepine(OXA), Lamotrigine(LTG) and Zonisamide(ZNS), are prescribed frequently for epilepsy by physicians. Simultaneously, they are known to be associated with a series of eye disorders. But very few studies have systemically compared eye disorders of newer AEDs in a large sample of patients diagnosed with epilepsy. Objective The aim of this study is to evaluate the association between eye disorders and several newer antiepileptic drugs (AEDs), including LEV, LTG, TPM, GBP, OXA, LCM, ZNS, as well as to look for differences in the frequency of AEs across individual AEDs, by data-mining a self-reporting database, the FDA Adverse Event Report System (FAERS). Methods The definition relied on system organ class (SOCs) and preferred terms (PTs) by the Medical Dictionary for Regulatory Activities (MedDRA). Disproportionality analysis was used to detect the risk signals from the data in the US Food and Drug Administration (FDA) adverse event reporting system database (FAERS). The reporting odds ratio (ROR), the proportional reporting ratio (PRR) and
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信