DalBen Mirian de Freitas, Teixeira Mendes Elisa, Moura Maria Luisa, Abdel Rahman Dania, Peixoto Driele, Alves Dos Santos Sania, Barcelos de Figueiredo Walquiria, Vitale Mendes Pedro, Utino Taniguchi Leandro, Bezerra Coutinho Francisco Antonio, Massad Eduardo, Levin Anna Sara
1Infection Control Department and LIM54,Hospital das Clínicas,University of São Paulo,São Paulo,Brazil.
3Nursing Division, Faculty of Medicine,Hospital das Clinicas,University of São Paulo,São Paulo,Brazil.
Infect Control Hosp Epidemiol. 2016 Nov;37(11):1315-1322. doi: 10.1017/ice.2016.168. Epub 2016 Sep 9.
OBJECTIVE To reduce transmission of carbapenem-resistant Enterobacteriaceae (CRE) in an intensive care unit with interventions based on simulations by a developed mathematical model. DESIGN Before-after trial with a 44-week baseline period and 24-week intervention period. SETTING Medical intensive care unit of a tertiary care teaching hospital. PARTICIPANTS All patients admitted to the unit. METHODS We developed a model of transmission of CRE in an intensive care unit and measured all necessary parameters for the model input. Goals of compliance with hand hygiene and with isolation precautions were established on the basis of the simulations and an intervention was focused on reaching those metrics as goals. Weekly auditing and giving feedback were conducted. RESULTS The goals for compliance with hand hygiene and contact precautions were reached on the third week of the intervention period. During the baseline period, the calculated R0 was 11; the median prevalence of patients colonized by CRE in the unit was 33%, and 3 times it exceeded 50%. In the intervention period, the median prevalence of colonized CRE patients went to 21%, with a median weekly Rn of 0.42 (range, 0-2.1). CONCLUSIONS The simulations helped establish and achieve specific goals to control the high prevalence rates of CRE and reduce CRE transmission within the unit. The model was able to predict the observed outcomes. To our knowledge, this is the first study in infection control to measure most variables of a model in real life and to apply the model as a decision support tool for intervention. Infect Control Hosp Epidemiol 2016;1-8.
目的 通过基于所开发的数学模型进行模拟的干预措施,减少重症监护病房中耐碳青霉烯类肠杆菌科细菌(CRE)的传播。设计 进行前后对照试验,基线期为44周,干预期为24周。地点 一家三级护理教学医院的医疗重症监护病房。参与者 该病房收治的所有患者。方法 我们开发了一个重症监护病房中CRE传播的模型,并测量了模型输入所需的所有参数。基于模拟结果确定了手卫生和隔离预防措施的依从性目标,干预措施聚焦于实现这些指标目标。每周进行审核并给予反馈。结果 在干预期的第三周达到了手卫生和接触预防措施的依从性目标。在基线期,计算得出的R0为11;该病房CRE定植患者的中位患病率为33%,有3次超过50%。在干预期,CRE定植患者的中位患病率降至21%,每周Rn的中位数为0.42(范围为0 - 2.1)。结论 模拟有助于制定并实现控制CRE高患病率以及减少病房内CRE传播的具体目标。该模型能够预测观察到的结果。据我们所知,这是感染控制领域中第一项在现实生活中测量模型的大多数变量并将该模型用作干预决策支持工具的研究。《感染控制与医院流行病学》2016年;1 - 8。