Predicting sepsis mortality into an era of pandrug-resistant E. coli through modeling

通过建模预测在泛耐药大肠杆菌时代脓毒症的死亡率

阅读:2

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。