Department of Clinical Epidemiology,Office of Clinical Epidemiology, Analytics, and Knowledge,Tan Tock Seng Hospital,Singapore.
Saw Swee Hock School of Public Health,National University of Singapore,Singapore.
Epidemiol Infect. 2019 Jan;147:e223. doi: 10.1017/S0950268819001110.
The association between methicillin-resistant Staphylococcus aureus (MRSA) colonisation and/or infection with increased morbidity and mortality among hospital patients has long been recognised. We sought to build on previous studies to identify modifiable risk factors associated with the acquisition of MRSA colonisation and infection by conducting a retrospective cohort study on patients admitted through the Emergency Department of an acute tertiary-care general hospital in Singapore which implemented universal on-admission MRSA screening. Patients were assigned to the acquisition or non-acquisition group depending on whether they acquired MRSA during their admission. We used logistic regression models with a patient being in the acquisition group as the binary outcome to identify factors associated with MRSA acquisition. A total of 1302 acquisition and 37 949 non-acquisition group patients were analysed. Fifteen variables were included in the multivariate model. A dose-response relationship between length of stay and odds of MRSA acquisition was observed, with a length of stay 3 weeks or more (Adj OR 11.78-57.36, all P < 0.001) being the single biggest predictor of MRSA acquisition. Other variables significantly associated with MRSA acquisition were: male gender, age 65 or greater, previous MRSA colonisation or infection, exposure to certain antibiotics and surgery, and history of diabetes.
耐甲氧西林金黄色葡萄球菌(MRSA)定植和/或感染与住院患者发病率和死亡率增加之间的关联早已得到认可。我们旨在通过对新加坡一家急性三级综合医院急诊部的住院患者进行回顾性队列研究,在既往研究的基础上进一步探讨与 MRSA 定植和感染相关的可改变的危险因素。该研究实施了入院时普遍进行 MRSA 筛查。根据患者在住院期间是否获得 MRSA,将其分配到获得组或未获得组。我们使用逻辑回归模型,以患者处于获得组为二项结局来确定与 MRSA 获得相关的因素。共分析了 1302 例获得组和 37949 例未获得组患者。多变量模型中纳入了 15 个变量。观察到住院时间与 MRSA 获得几率之间存在剂量反应关系,住院时间 3 周或以上(调整后的比值比 11.78-57.36,均 P < 0.001)是 MRSA 获得的最大单一预测因素。其他与 MRSA 获得显著相关的变量包括:男性、年龄 65 岁或以上、既往 MRSA 定植或感染、接触某些抗生素和手术以及糖尿病史。