Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling
Document Type
Journal Article
Publication Date
12-26-2024
Journal
Communications medicine
Volume
4
Issue
1
DOI
10.1038/s43856-024-00693-7
Abstract
BACKGROUND: Infections caused by antibiotic-resistant bacteria are increasingly frequent, burdening healthcare systems worldwide. As pathogens acquire resistance to all known antibiotics - i.e., become pan-resistant - treatment of the associated infections will become exceedingly difficult. We hypothesized that the emergence of pan-resistant bacterial pathogens will result in a sharp increase in human mortality. METHODS: We tested this hypothesis by modeling the impact of a single hypothetical pan-resistant Escherichia coli strain on sepsis deaths in the United States. We used long-term data on sepsis incidence, mortality rates, strain dynamics, and treatment outcomes to parameterize a set of models encompassing a range of plausible future scenarios. All models accounted for historical and projected temporal changes in population size and age distribution. RESULTS: The models suggest that sepsis deaths could increase 18- to 46-fold within 5 years of the emergence of a single pan-resistant E. coli strain. This large and rapid change contrasts sharply with the current expectation of gradual change under continuing multidrug-resistance. CONCLUSIONS: Failure to prevent the emergence of pan-resistance would have dire consequences for public health.
APA Citation
Koch, Benjamin J.; Park, Daniel E.; Hungate, Bruce A.; Liu, Cindy M.; Johnson, James R.; and Price, Lance B., "Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling" (2024). GW Authored Works. Paper 6099.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/6099
Department
Environmental and Occupational Health