Combining demographic shifts with age-based resistance prevalence to estimate future antimicrobial resistance burden in Europe and implications for targets: A modelling study
Naomi R. Waterlow, Clare I. R. Chandler, Ben S. Cooper, Catrin E. Moore, Julie V. Robotham, Benn Sartorius, Michael Sharland, Gwenan M. Knight, Alison Farrell, Alison Farrell, Alison Farrell, Alison Farrell

TL;DR
This study models how demographic changes and age-related resistance patterns will affect future drug-resistant infections in Europe, showing that ignoring age and sex leads to inaccurate projections.
Contribution
The study introduces a novel approach combining demographic shifts with age- and sex-specific resistance data to project future AMR burdens in Europe.
Findings
BSI incidence rates are projected to increase more in men and older adults across most bacteria.
Ignoring age and sex leads to underestimating resistance burden in men and older populations.
Achieving a 10% reduction in resistant BSI incidence by 2030 is only feasible for 68.4% of bacteria-antibiotic combinations.
Abstract
Antimicrobial Resistance (AMR) is a global public health crisis. Evaluating intervention impact requires accurate estimates of how the AMR burden will change over time, given likely demographic shifts. This study aimed to provide an estimate of future AMR burden in Europe, investigating resistance variation by age and sex and the impact of interventions to achieve the proposed United Nations (UN) political declaration targets. Using data from 12,807,473 bloodstream infection (BSI) susceptibility tests from routine surveillance in Europe, we estimate age- and sex-specific rates of change in BSI incidence for the 8 bacteria included in European Antimicrobial Resistance Surveillance Network (EARS-Net) surveillance over 2015–2019. This was used to project incidence rates by age and sex for 2022–2050 and, with demographic projections, to generate estimates of BSI burden (2022–2050). Two…
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Taxonomy
TopicsAntibiotic Use and Resistance · Urinary Tract Infections Management · Antibiotic Resistance in Bacteria
