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EU-ADR Healthcare Database Network vs.Spontaneous Reporting System Database:Preliminary Comparison of Signal Detection

机译:EU-ADR Healthcare Database Network VS.Spontive Reporting System数据库:信号检测的初步比较

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The EU-ADR project aims to exploit different European electronic healthcare records (EHR) databases for drug safety signal detection. In this paper we report the preliminary results concerning the comparison of signal detection between EU-ADR network and two spontaneous reporting databases, the Food and Drug Administration and World Health Organization databases. EU-ADR data sources consist of eight databases in four countries (Denmark, Italy, Netherlands, and United Kingdom) that are virtually linked through distributed data network. A custom-built software (Jerboa?) elaborates harmonized input data that are produced locally and generates aggregated data which are then stored in a central repository. Those data are subsequently analyzed through different statistics (i.e. Longitudinal Gamma Poisson Shrinker). As potential signals, all the drugs that are associated to six events of interest (bullous eruptions - BE, acute renal failure -ARF, acute myocardial infarction - AMI, anaphylactic shock - AS, rhabdomyolysis - RHABD, and upper gastrointestinal bleeding - UGIB) have been detected via different data mining techniques in the two systems. Subsequently a comparison concerning the number of drugs that could be investigated and the potential signals detected for each event in the spontaneous reporting systems (SRSs) and EU-ADR network was made. SRSs could explore, as potential signals, a larger number of drugs for the six events, in comparison to EU-ADR (range: 630-3,393 vs. 87-856), particularly for those events commonly thought to be potentially drug-induced (i.e. BE: 3,393 vs. 228). The highest proportion of signals detected in SRSs was found for BE, ARF and AS, while for ARF, and UGIB in EU-ADR. In conclusion, it seems that EU-ADR longitudinal database network may complement traditional spontaneous reporting system for signal detection, especially for those adverse events that are frequent in general population and are not commonly thought to be drug-induced. The methodology for signal detection in EU-ADR is still under development and testing phase.
机译:EU-ADR项目旨在利用不同的欧洲电子医疗记录(EHR)数据库进行药物安全信号检测。在本文中,我们报告了欧盟 - ADR网络与两种自发报告数据库,食品和药物管理和世界卫生组织数据库之间信号检测比较的初步结果。 EU-ADR的数据源包括在四个国家(丹麦,意大利,荷兰和英国)8个数据库是通过分布式数据网络虚连接。自定义构建的软件(Jerboa?)详细阐述了本地生成的谐波输入数据,并生成聚合数据,然后将其存储在中央存储库中。随后通过不同的统计分析这些数据(即纵向伽马泊松收缩器)。作为潜在的信号,与六个感兴趣事件相关的所有药物(大疱性爆发 - 是,急性肾功能衰竭 - ARF,急性心肌梗死 - AMI,过敏性休克 - AS,rhabdomyolysics - Rhabd和上胃肠渗透 - UGIB)具有通过两个系统中的不同数据挖掘技术检测到。随后对可以研究的药物数量的比较,并且对自发报告系统(SRSS)和EU-ADR网络中的每个事件检测到的潜在信号。与EU-ADR(范围:630-3,393与87-856)相比,SRSS可以探索六个事件的潜在信号,为六个事件进行更多的药物,特别是对于那些常见的事件潜在毒药诱导的事件(即:3,393与228)。发现在SRS中检测到的最高一部分信号,而ARF和ARF在欧盟ADR中的UGIB和UGIB中被发现。总之,欧盟-ADR纵向数据库网络似乎可以补充传统的自发报告系统的信号检测,特别是对于常见的普通人频繁的不良事件,并且通常被认为是毒药诱导的。 EU-ADR中的信号检测方法仍在开发和测试阶段。

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