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Studies of antibiotic resistance within the patient hospitals and the community using simple mathematical models.

机译:使用简单的数学模型研究患者医院和社区内的抗生素耐药性。

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摘要

The emergence of antibiotic resistance in a wide variety of important pathogens of humans presents a worldwide threat to public health. This paper describes recent work on the use of mathematical models of the emergence and spread of resistance bacteria, on scales ranging from within the patient, in hospitals and within communities of people. Model development starts within the treated patient, and pharmacokinetic and pharmacodynamic principles are melded within a framework that mirrors the interaction between bacterial population growth, drug treatment and the immunological responses targeted at the pathogen. The model helps identify areas in which more precise information is needed, particularly in the context of how drugs influence pathogen birth and death rates (pharmacodynamics). The next area addressed is the spread of multiply drug-resistant bacteria in hospital settings. Models of the transmission dynamics of the pathogen provide a framework for assessing the relative merits of different forms of intervention, and provide criteria for control or eradication. The model is applied to the spread of vancomycin-resistant enterococci in an intensive care setting. This model framework is generalized to consider the spread of resistant organisms between hospitals. The model framework allows for heterogeneity in hospital size and highlights the importance of large hospitals in the maintenance of resistant organisms within a defined country. The spread of methicillin resistant Staphylococcus aureus (MRSA) in England and Wales provides a template for model construction and analysis. The final section addresses the emergence and spread of resistant organisms in communities of people and the dependence on the intensity of selection as measured by the volume or rate of drug use. Model output is fitted to data for Finland and Iceland and conclusions drawn concerning the key factors determining the rate of spread and decay once drug pressure is relaxed.
机译:在人类的多种重要病原体中抗生素抗性的出现对全世界的公共卫生构成了威胁。本文介绍了有关使用抗药性细菌出现和传播的数学模型的最新研究成果,涉及的范围包括患者,医院和人群。在受治疗的患者中开始模型开发,并将药代动力学和药效学原理整合到一个框架中,该框架反映了细菌种群增长,药物治疗和针对病原体的免疫反应之间的相互作用。该模型有助于确定需要更精确信息的区域,尤其是在药物如何影响病原体出生和死亡率(药效学)的背景下。下一个要解决的领域是医院中多重耐药细菌的传播。病原体传播动力学模型为评估不同形式干预措施的相对优点提供了框架,并提供了控制或根除的标准。该模型应用于重症监护环境中耐万古霉素的肠球菌的传播。该模型框架被普遍考虑来考虑耐药菌在医院之间的传播。该模型框架考虑了医院规模的异质性,并强调了大型医院在特定国家/地区维持耐药菌的重要性。耐甲氧西林的金黄色葡萄球菌(MRSA)在英格兰和威尔士的传播为模型构建和分析提供了模板。最后一部分讨论了耐药菌在人群中的出现和扩散以及对选择强度的依赖性,这种依赖性通过吸毒量或吸毒率来衡量。模型输出与芬兰和冰岛的数据拟合,得出的结论涉及确定药物压力放松后决定扩散和衰减速率的关键因素。

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