Temporal Trends in Antibiotic Resistance in Europe, 1998-2019
Emons, M.; Blanquart, F.; Lehtinen, S.
Show abstract
The emergence of resistant phenotypes following the introduction of new antibiotics is well documented. However, the subsequent dynamics of resistance frequencies over long time periods are less well understood: the extent to which resistance frequencies increase, the rate at which resistance frequencies change, and how this depends on antibiotic consumption remain open questions. Here, we systematically analyse the resistance trajectories emerging from 3,375,774 hospital bacterial isolates sampled from infections in Europe over 1998-2019, representing 887 bug-drug-country combinations. Our analyses support a model in which, after an initial increase, resistance frequencies reach a stable intermediate equilibrium. The plurality (37%) of analysed trajectories were best described as stable (neither increasing nor decreasing). The second largest category of trajectories (21%) was those best described as stabilising - i.e. showing a transition from increasing frequency to a stable plateau. The antibiotic consumption in a country predicts both the equilibrium frequency of the corresponding resistance and the speed at which this equilibrium is reached. Moreover, we find weak evidence that temporal fluctuations in resistance frequency are driven by temporal fluctuations in hospital antibiotic consumption. Overall, our results indicate that ever increasing antibiotic resistance frequencies are not inevitable and that antibiotic management limits resistance spread. A large fraction of the variability in the speed of increase and the equilibrium level of resistance remains unexplained by antibiotic use, suggesting other factors also drive resistance dynamics.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Metapopulation ecology links antibiotic resistance, consumption and patient transfers in a network of hospital wards 96%
- Evolutionary stability of collateral sensitivity to antibiotics in the model pathogen Pseudomonas aeruginosa 95%
- Multi-step vs. single-step resistance evolution under different drugs, pharmacokinetics and treatment regimens 94%
Similar papers in this journal
Similar papers in this journal
- Horizontal gene transfer rate is not the primary determinant of observed antibiotic resistance frequencies in Streptococcus pneumoniae 95%
- The genetic landscape of antibiotic sensitivity in Staphylococcus aureus 93%
- Genomic epidemiological models describe pathogen evolution across fitness valleys 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.