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

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Communications medicine Pub Date : 2024-12-26 DOI:10.1038/s43856-024-00693-7
Benjamin J. Koch, Daniel E. Park, Bruce A. Hungate, Cindy M. Liu, James R. Johnson, Lance B. Price
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Abstract

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. 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. 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. Failure to prevent the emergence of pan-resistance would have dire consequences for public health. Antibiotic-resistant bacteria are an increasing risk to public health. As bacteria become resistant to all known antibiotics – i.e., become pan-resistant – treatment of infections will become extremely difficult. We hypothesized that the appearance of pan-resistant bacteria will result in a sharp increase in mortality. We tested this hypothesis using computer and mathematical modeling to see how a single hypothetical pan-resistant type of bacteria would impact deaths in the United States. Drawing from existing long-term data, deaths from infection in the general population could increase dramatically within 5 years of the emergence of a single pan-resistant type of common bacteria. Failing to prevent the emergence of pan-resistance would have dire consequences for public health. Koch et al. model scenarios of emergence of a single pan-resistant Escherichia coli strain in the United States. Findings suggest dire mortality outcomes and highlight the importance of measures to prevent the emergence of antimicrobial resistance.

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通过建模预测脓毒症死亡率进入耐药大肠杆菌时代。
背景:抗生素耐药细菌引起的感染越来越频繁,给世界各地的卫生保健系统带来了负担。随着病原体对所有已知抗生素产生耐药性——即产生泛耐药性——相关感染的治疗将变得极其困难。我们假设泛耐药细菌病原体的出现将导致人类死亡率急剧增加。方法:我们通过模拟单一假设的泛耐药大肠杆菌菌株对美国败血症死亡的影响来验证这一假设。我们使用脓毒症发病率、死亡率、菌株动态和治疗结果的长期数据来参数化一组包含一系列可能的未来情景的模型。所有模型都解释了人口规模和年龄分布的历史和预估时间变化。结果:模型表明,在出现单一泛耐药大肠杆菌菌株的5年内,败血症死亡人数可能增加18至46倍。这种巨大而迅速的变化与目前在持续耐多药情况下逐渐发生变化的预期形成鲜明对比。结论:如果不能防止出现泛耐药性,将对公共卫生产生可怕的后果。
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