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Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015 : a population-level modelling analysis

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dc.contributor Landspitali - The National University Hospital of Iceland
dc.contributor.author Burden of AMR Collaborative Group
dc.date.accessioned 2022-10-01T01:02:07Z
dc.date.available 2022-10-01T01:02:07Z
dc.date.issued 2019-01
dc.identifier.citation Burden of AMR Collaborative Group 2019 , ' Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015 : a population-level modelling analysis ' , The Lancet Infectious Diseases , vol. 19 , no. 1 , pp. 56-66 . https://doi.org/10.1016/S1473-3099(18)30605-4
dc.identifier.issn 1473-3099
dc.identifier.other 37866426
dc.identifier.other 9d7eb064-b874-43a8-b731-b10682f1c75b
dc.identifier.other 85058703581
dc.identifier.other 30409683
dc.identifier.uri https://hdl.handle.net/20.500.11815/3501
dc.description Publisher Copyright: © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
dc.description.abstract Background: Infections due to antibiotic-resistant bacteria are threatening modern health care. However, estimating their incidence, complications, and attributable mortality is challenging. We aimed to estimate the burden of infections caused by antibiotic-resistant bacteria of public health concern in countries of the EU and European Economic Area (EEA) in 2015, measured in number of cases, attributable deaths, and disability-adjusted life-years (DALYs). Methods: We estimated the incidence of infections with 16 antibiotic resistance–bacterium combinations from European Antimicrobial Resistance Surveillance Network (EARS-Net) 2015 data that was country-corrected for population coverage. We multiplied the number of bloodstream infections (BSIs) by a conversion factor derived from the European Centre for Disease Prevention and Control point prevalence survey of health-care-associated infections in European acute care hospitals in 2011–12 to estimate the number of non-BSIs. We developed disease outcome models for five types of infection on the basis of systematic reviews of the literature. Findings: From EARS-Net data collected between Jan 1, 2015, and Dec 31, 2015, we estimated 671 689 (95% uncertainty interval [UI] 583 148–763 966) infections with antibiotic-resistant bacteria, of which 63·5% (426 277 of 671 689) were associated with health care. These infections accounted for an estimated 33 110 (28 480–38 430) attributable deaths and 874 541 (768 837–989 068) DALYs. The burden for the EU and EEA was highest in infants (aged <1 year) and people aged 65 years or older, had increased since 2007, and was highest in Italy and Greece. Interpretation: Our results present the health burden of five types of infection with antibiotic-resistant bacteria expressed, for the first time, in DALYs. The estimated burden of infections with antibiotic-resistant bacteria in the EU and EEA is substantial compared with that of other infectious diseases, and has increased since 2007. Our burden estimates provide useful information for public health decision-makers prioritising interventions for infectious diseases. Funding: European Centre for Disease Prevention and Control.
dc.format.extent 11
dc.format.extent 1090701
dc.format.extent 56-66
dc.language.iso en
dc.relation.ispartofseries The Lancet Infectious Diseases; 19(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Infectious Diseases
dc.title Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015 : a population-level modelling analysis
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article
dc.description.version Peer reviewed
dc.identifier.doi 10.1016/S1473-3099(18)30605-4
dc.relation.url http://www.scopus.com/inward/record.url?scp=85058703581&partnerID=8YFLogxK
dc.contributor.department Faculty of Medicine
dc.contributor.department Clinical Laboratory Services, Diagnostics and Blood Bank


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