Combining electronic healthcare databases in Europe to allow for large-scale drug safety monitoring: the EU-ADR Project

被引:182
作者
Coloma, Preciosa M. [1 ]
Schuemie, Martijn J. [1 ]
Trifiro, Gianluca [1 ]
Gini, Rosa [2 ]
Herings, Ron [3 ]
Hippisley-Cox, Julia [4 ]
Mazzaglia, Giampiero [5 ]
Giaquinto, Carlo [6 ]
Corrao, Giovanni [7 ]
Pedersen, Lars [8 ]
van der Lei, Johan [1 ]
Sturkenboom, Miriam [1 ,9 ]
机构
[1] Erasmus Univ, Med Ctr, Dept Med Informat, Rotterdam, Netherlands
[2] Agenzia Reg Sanita, Della Toscana Florence, Italy
[3] PHARMO Inst, Utrecht, Netherlands
[4] Univ Nottingham, Sch Community Hlth Sci, Div Primary Care, Nottingham NG7 2RD, England
[5] Soc Italiana Med Gen, Florence, Italy
[6] Pedianet Soc Serv Telemat SRL, Padua, Italy
[7] Univ Milanobicocca, Dept Stat, Milan, Italy
[8] Aarhus Univ Hosp, Dept Clin Epidemiol, DK-8000 Aarhus, Denmark
[9] Erasmus Univ, Med Ctr, Dept Epidemiol, Rotterdam, Netherlands
关键词
drug safety; signal detection; upper gastrointestinal bleeding; nonsteroidal anti-inflammatory drugs; EU-ADR; UPPER GASTROINTESTINAL HEMORRHAGE; NONSTEROIDAL ANTIINFLAMMATORY DRUGS; CYCLO-OXYGENASE-2; INHIBITORS; POSTMARKETING SURVEILLANCE; RETROSPECTIVE COHORT; SIGNAL-DETECTION; EVENTS; RISK; PHARMACOVIGILANCE; HOSPITALIZATION;
D O I
10.1002/pds.2053
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose In this proof-of-concept paper we describe the framework, process, and preliminary results of combining data from European electronic healthcare record (EHR) databases for large-scale monitoring of drug safety. Methods Aggregated demographic, clinical, and prescription data from eight databases in four countries (Denmark, Italy, Netherlands, the UK) were pooled using a distributed network approach by generation of common input data followed by local aggregation through custom-built software, Jerboa (c). Comparison of incidence rates of upper gastrointestinal bleeding (UGIB) and nonsteroidal anti-inflammatory drug (NSAID) utilization patterns were used to evaluate data harmonization and quality across databases. The known association of NSAIDs and UGIB was employed to demonstrate sensitivity of the system by comparing incidence rate ratios (IRRs) of UGIB during NSAID use to UGIB during all other person-time. Results The study population for this analysis comprised 19 647 445 individuals corresponding to 59 929 690 person-years of follow-up. 39 967 incident cases of UGIB were identified during the study period. Crude incidence rates varied between 38.8 and 109.5/100 000 person-years, depending on country and type of database, while age-standardized rates ranged from 25.1 to 65.4/100 000 person-years. NSAID use patterns were similar for databases within the same country but heterogeneous among different countries. A statistically significant age-and gender-adjusted association between use of any NSAID and increased risk for UGIB was confirmed in all databases, IRR from 2.0 (95%CI:1.7-2.2) to 4.3 (95%CI: 4.1-4.5). Conclusions Combining data from EHR databases of different countries to identify drug-adverse event associations is feasible and can set the stage for changing and enlarging the scale for drug safety monitoring. Copyright (C) 2010 John Wiley & Sons, Ltd.
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页码:1 / 11
页数:11
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