The Danish Collaborative Bacteraemia Network (DACOBAN) database

Abstract

Kim Oren Gradel,1,2 Henrik Carl Schønheyder,3,4 Magnus Arpi,5 Jenny Dahl Knudsen,6 Christian Østergaard,6 Mette Søgaard7For the Danish Collaborative Bacteraemia Network (DACOBAN) 1Center for Clinical Epidemiology, Odense University Hospital, 2Research Unit of Clinical Epidemiology, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark; 3Department of Clinical Microbiology, Aalborg University Hospital, 4Department of Clinical Medicine, Aalborg University, Aalborg, 5Department of Clinical Microbiology, Herlev Hospital, Copenhagen University Hospital, Herlev, 6Department of Clinical Microbiology, Hvidovre Hospital, Copenhagen University Hospital, Hvidovre, 7Department of Clinical Epidemiology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus University, Aarhus, Denmark Abstract: The Danish Collaborative Bacteraemia Network (DACOBAN) research database includes microbiological data obtained from positive blood cultures from a geographically and demographically well-defined population serviced by three clinical microbiology departments (1.7 million residents, 32% of the Danish population). The database also includes data on comorbidity from the Danish National Patient Registry, vital status from the Danish Civil Registration System, and clinical data on 31% of nonselected records in the database. Use of the unique civil registration number given to all Danish residents enables linkage to additional registries for specific research projects. The DACOBAN database is continuously updated, and it currently comprises 39,292 patients with 49,951 bacteremic episodes from 2000 through 2011. The database is part of an international network of population-based bacteremia registries from five developed countries on three continents. The main purpose of the DACOBAN database is to study surveillance, risk, and prognosis. Sex- and age-specific data on background populations enables the computation of incidence rates. In addition, the high number of patients facilitates studies of rare microorganisms. Thus far, studies on Staphylococcus aureus, enterococci, computer algorithms for the classification of bacteremic episodes, and prognosis and risk in relation to socioeconomic factors have been published. Keywords: bacteremia, database, positive blood cultures, population-based