Trifirò Gianluca, Patadia Vaishali, Schuemie Martijn J, Coloma Preciosa M, Gini Rosa, Herings Ron, Hippisley-Cox Julia, Mazzaglia Giampiero, Giaquinto Carlo, Scotti Lorenza, Pedersen Lars, Avillach Paul, Sturkenboom Miriam C J M, van der Lei Johan
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Stud Health Technol Inform. 2011;166:25-30.
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.
欧盟药物不良反应(EU-ADR)项目旨在利用不同的欧洲电子健康记录(EHR)数据库进行药物安全信号检测。在本文中,我们报告了关于欧盟-ADR网络与两个自发报告数据库(美国食品药品监督管理局数据库和世界卫生组织数据库)之间信号检测比较的初步结果。欧盟-ADR的数据来源包括四个国家(丹麦、意大利、荷兰和英国)的八个数据库,这些数据库通过分布式数据网络实现虚拟链接。一个定制软件(Jerboa©)对本地生成的统一输入数据进行处理,并生成汇总数据,然后将其存储在中央存储库中。随后,通过不同的统计方法(如纵向伽马泊松收缩法)对这些数据进行分析。作为潜在信号,通过不同的数据挖掘技术在两个系统中检测到了与六种感兴趣事件(大疱性皮疹 - 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。随后,对自发报告系统(SRSs)和欧盟-ADR网络中可调查药物的数量以及针对每个事件检测到的潜在信号进行了比较。与欧盟-ADR相比,SRSs可以将更多数量的药物作为六种事件的潜在信号进行探索(范围:630 - 3393对87 - 856),特别是对于那些通常被认为可能由药物引起的事件(即BE:3393对228)。在SRSs中检测到信号比例最高的是BE、ARF和AS,而在欧盟-ADR中是ARF和UGIB。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进行信号检测,特别是对于那些在普通人群中常见且通常不被认为是由药物引起的不良事件。欧盟-ADR中信号检测的方法仍处于开发和测试阶段。