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The Danish Collaborative Bacteraemia Network (DACOBAN) database
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172047/ https://www.ncbi.nlm.nih.gov/pubmed/25258557 http://dx.doi.org/10.2147/CLEP.S66998 |
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author | Gradel, Kim Oren Schønheyder, Henrik Carl Arpi, Magnus Knudsen, Jenny Dahl Østergaard, Christian Søgaard, Mette |
author_facet | Gradel, Kim Oren Schønheyder, Henrik Carl Arpi, Magnus Knudsen, Jenny Dahl Østergaard, Christian Søgaard, Mette |
author_sort | Gradel, Kim Oren |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4172047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41720472014-09-25 The Danish Collaborative Bacteraemia Network (DACOBAN) database Gradel, Kim Oren Schønheyder, Henrik Carl Arpi, Magnus Knudsen, Jenny Dahl Østergaard, Christian Søgaard, Mette Clin Epidemiol Review 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. Dove Medical Press 2014-09-18 /pmc/articles/PMC4172047/ /pubmed/25258557 http://dx.doi.org/10.2147/CLEP.S66998 Text en © 2014 Gradel et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Review Gradel, Kim Oren Schønheyder, Henrik Carl Arpi, Magnus Knudsen, Jenny Dahl Østergaard, Christian Søgaard, Mette The Danish Collaborative Bacteraemia Network (DACOBAN) database |
title | The Danish Collaborative Bacteraemia Network (DACOBAN) database |
title_full | The Danish Collaborative Bacteraemia Network (DACOBAN) database |
title_fullStr | The Danish Collaborative Bacteraemia Network (DACOBAN) database |
title_full_unstemmed | The Danish Collaborative Bacteraemia Network (DACOBAN) database |
title_short | The Danish Collaborative Bacteraemia Network (DACOBAN) database |
title_sort | danish collaborative bacteraemia network (dacoban) database |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172047/ https://www.ncbi.nlm.nih.gov/pubmed/25258557 http://dx.doi.org/10.2147/CLEP.S66998 |
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