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

机译:EU-ADR医疗保健数据库网络与自发报告系统数据库: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,我们报告了有关EU-ADR网络与两个自发报告数据库(食品药品管理局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数据源由四个国家(丹麦,意大利,荷兰和英国)的八个数据库组成,这些数据库通过分布式数据网络进行虚拟链接。定制软件(Jerboa©)精心制作本地生成的统一输入数据,并生成汇总数据,然后将其存储在中央存储库中。这些数据随后通过不同的统计数据(即纵向伽马泊松收缩器)进行分析。作为潜在信号,与六种感兴趣的事件(大疱性爆发-BE,急性肾衰竭-ARF,急性心肌梗死-AMI,过敏性休克-AS,横纹肌溶解-RHABD和上消化道出血-UGIB)相关的所有药物都有通过两个系统中不同的数据挖掘技术检测到。随后,在自发报告系统(SRS)和EU-ADR网络中,对可以调查的药物数量和每个事件检测到的潜在信号进行了比较。与EU-ADR(范围:630-3,393对87-856)相比,SRS可以探索这六种事件中更多的药物作为潜在信号,尤其是对于那些通常被认为可能是药物诱发的事件(即BE:3393 vs. 228)。在SRS中检测到的信号比例最高的是BE,ARF和AS,而在EU-ADR中则是ARF和UGIB。总之,似乎EU-ADR纵向数据库网络可以补充用于信号检测的传统自发报告系统,尤其是对于那些在普通人群中频繁发生且通常不被认为是药物诱发的不良事件。 EU-ADR中信号检测的方法仍在开发和测试阶段。

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