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首页> 外文期刊>The Journal of Infectious Diseases >A mathematical model quantifying the impact of antibiotic exposure and other interventions on the endemic prevalence of vancomycin-resistant enterococci.
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A mathematical model quantifying the impact of antibiotic exposure and other interventions on the endemic prevalence of vancomycin-resistant enterococci.

机译:一个数学模型可以量化抗生素暴露和其他干预措施对耐万古霉素肠球菌流行的影响。

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摘要

Background. Mathematical modeling can be used to describe the interdependent and dynamic interactions that contribute to the transmission dynamics of vancomycin-resistant enterococci (VRE). A model was developed to quantify the contribution of antibiotic exposure and of other modifiable factors to the dissemination of VRE in the hospital setting.Methods. The model consists of 4 compartments: patients colonized with VRE receiving and not receiving antibiotics and uncolonized patients receiving and not receiving antibiotics. A series of differential equations describe the movement between these compartments. Baseline parameter estimates were obtained from pharmacy, infection-control, and clinical databases.Results. The main predictions of this model are that (1) preventing the initiation or enhancing the discontinuation of unnecessary antimicrobial therapy will have a greater impact if it is targeted to patients who are not colonized with VRE; (2) increasing the number of patients harboring VRE at the time of hospital admission substantially increases the endemic prevalence of VRE; and (3) eliminating the influx of VRE results in the eradication of this pathogen from the hospital. A decrease in the endemic prevalence of VRE also occurs with a decrease in the length of hospital stay of colonized patients, increased hand hygiene compliance, and a lower ratio of health-care workers : patients.Conclusion. This mathematical model provides a framework to assist in targeting necessary interventions aimed at limiting the spread of VRE.
机译:背景。数学建模可用于描述相互依赖的相互作用和动态相互作用,这些相互作用有助于耐万古霉素的肠球菌(VRE)的传播动力学。建立了一个模型来量化抗生素暴露和其他可改变因素对医院环境中VRE传播的贡献。该模型包括4个部分:接受VRE感染和不接受抗生素的定植患者和接受和不接受抗生素的非殖民化患者。一系列微分方程描述了这些隔室之间的运动。基线参数估计值是从药房,感染控制和临床数据库获得的。该模型的主要预测结果是:(1)如果针对非VRE定植的患者,防止不必要的抗菌治疗的开始或加强其终止将产生更大的影响; (2)入院时携带VRE的患者人数增加,大大增加了VRE的流行率; (3)消除VRE的流入可从医院根除这种病原体。 VRE的流行率也随着定植患者住院时间的减少,手部卫生顺从性的提高以及医护人员:患者比例的降低而发生。该数学模型提供了一个框架,可以帮助确定旨在限制VRE扩散的必要干预措施。

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