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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 (CROSBI ID 261917)

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(Burden of AMR Collaborative Group) Cassini, Alessandro ; Hogberg, Liselotte Diaz ; Plachouras, Diamantis ; Quattrocchi, Annalisa ; Hoxha, Ana ; Simonsen, Gunnar Skov ; Colomb-Cotinat, Melanie ; Kretzschmar, Mirjam E. ; Devleesschauwer, Brecht ; Cecchini, Michele et al. 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 // Lancet. Infectious diseases, 19 (2019), 1; 56-66. doi: 10.1016/s1473-3099(18)30605-4

Podaci o odgovornosti

Cassini, Alessandro ; Hogberg, Liselotte Diaz ; Plachouras, Diamantis ; Quattrocchi, Annalisa ; Hoxha, Ana ; Simonsen, Gunnar Skov ; Colomb-Cotinat, Melanie ; Kretzschmar, Mirjam E. ; Devleesschauwer, Brecht ; Cecchini, Michele ; Ouakrim, Driss Ait ; Oliveira, Tiago Cravo ; Struelens, Marc J. ; Suetens, Carl ; Monnet, Dominique L.

Burden of AMR Collaborative Group

engleski

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

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.

antibiotic use ; antimicrobial use ; healthcare-associated infections ; hospitals ; point-prevalence surve

Burden of AMR Collaborative Group: University Hospital for Infectious Diseases, Zagreb, Croatia (Prof Arjana Tambić Andrašević PhD, Silvija Soprek MD); School of Medicine, University Hospital Centre Zagreb, University of Zagreb, Croatia (Prof Ana Budimir PhD);

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Podaci o izdanju

19 (1)

2019.

56-66

objavljeno

1473-3099

1474-4457

10.1016/s1473-3099(18)30605-4

Povezanost rada

Kliničke medicinske znanosti

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