Antimicrobial resistance burden landscape in Germany in 2019: a comparative country-level estimation Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1093/jacamr/dlaf142
Objectives Our aim was to present the most comprehensive set of pre-COVID-19 antimicrobial resistance (AMR) burden estimates for Germany to date, with a focus on regional variations and hotspots. Methods The study estimated deaths and disability-adjusted life-years (DALYs) due to AMR for 23 bacterial pathogens and 88 pathogen-drug combinations in Germany in 2019, with the use of two counterfactual scenarios: deaths attributable to AMR (those that would not have occurred if infections were susceptible) and deaths associated with AMR (cases where AMR was present but not necessarily the cause of death). Models were cross-validated for out-of-sample predictive validity, and uncertainty intervals (UIs) calculated. In stratified analyses we compared death estimates and DALYs with previously published estimates. Results The total burden of mortality and DALYs associated with AMR in Germany were 45 692 (95% UI, 31 281–64 591) deaths and 752 697 (500 313–1 076 187) DALYs, respectively, with the total burden attributable to AMR 9648 (6520–13 918) deaths and 159 032 (105 021–232 459) DALYs, respectively. Bloodstream, respiratory and intra-abdominal infections were the major contributors to the fatal AMR burden. The leading pathogens responsible for AMR-associated deaths were Escherichia coli, Staphylococcus aureus, Enterococcus faecium, Klebsiella pneumoniae and Pseudomonas aeruginosa. E. coli resistant to β-lactam/β-lactamase inhibitors and aminopenicillin were top pathogen-drug combinations causing deaths attributable to and associated with AMR, respectively. The presented estimates align with previous research. Conclusions The high resistance levels and significant health burden highlight AMR as a serious public health challenge in Germany, emphasizing the need to further strengthen targeted prevention and control measures against key pathogen-drug combinations.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/jacamr/dlaf142
- OA Status
- gold
- Cited By
- 1
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4413309296Canonical identifier for this work in OpenAlex
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https://doi.org/10.1093/jacamr/dlaf142Digital Object Identifier
- Title
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Antimicrobial resistance burden landscape in Germany in 2019: a comparative country-level estimationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-07-02Full publication date if available
- Authors
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Tomislav Meštrović, Sebastian Haller, Gisela Robles Aguilar, A. Meinen, Anna Gershberg Hayoon, Christine Geffers, Achim Dörre, Muna Abu Sin, Authia P Gray, Lucien R Swetschinski, Kevin S Ikuta, Erin Chung, Eve E Wool, Chieh Han, Daniel T Araki, Rebecca Hsu, Christiane Dolecek, Tim Eckmanns, Mohsen NaghaviList of authors in order
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https://doi.org/10.1093/jacamr/dlaf142Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1093/jacamr/dlaf142Direct OA link when available
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Estimation, Antibiotic resistance, Resistance (ecology), Antimicrobial, Geography, Biology, Economics, Ecology, Microbiology, Antibiotics, ManagementTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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