Istituti Ospitalieri di Cremona, Cremona, Italy.
J Hosp Infect. 2013 Feb;83(2):107-13. doi: 10.1016/j.jhin.2012.09.020. Epub 2012 Nov 30.
Early identification of meticillin-resistant Staphylococcus aureus (MRSA) carriers may be helpful for clinical and epidemiological reasons.
To identify and compare risk factors of previously unknown MRSA carriage on admission to 13 surgical wards in France, Greece, Italy, and Spain.
The study was a prospective observational cohort study which enrolled consecutive patients screened for MRSA on admission to surgical wards. Sociodemographic data, comorbidities and possible risk factors for MRSA were recorded. A multivariate logistic regression model was used to predict probabilities of previously unknown MRSA colonization on admission based on patient characteristics. Prediction rules for MRSA carriage were developed and evaluated using the c-statistic.
Of 2901 patients enrolled, admission screening identified 111 (3.8%) new MRSA carriers. Independent risk factors for MRSA carriage were urinary catheterization (odds ratio: 4.4; 95% confidence interval: 2.0-9.9), nursing home residency (3.8; 1.9-7.7), chronic skin disease (2.9; 1.5-5.8), wounds/ulcers (2.4; 1.5-4.0), recent hospitalization (2.2; 1.5-3.3), diabetes (1.6, 1.02-2.5), and age >70 years (1.5; 1.03-2.3). However, risk factors varied between centres. The c-statistic for the common prediction rule for all centres was 0.64, indicating limited predictive power.
Risk profiles for MRSA carriers vary between surgical wards in European countries. Identifying local risk factors is important, as a common European prediction rule was found to be of limited clinical value.
早期识别耐甲氧西林金黄色葡萄球菌(MRSA)携带者可能有助于临床和流行病学原因。
在法国、希腊、意大利和西班牙的 13 个外科病房中,识别并比较入院时未知 MRSA 携带者的风险因素。
这是一项前瞻性观察性队列研究,连续招募了在外科病房入院时筛查 MRSA 的患者。记录了社会人口统计学数据、合并症和可能的 MRSA 危险因素。使用多变量逻辑回归模型,根据患者特征预测入院时未知 MRSA 定植的概率。使用 c 统计量开发和评估 MRSA 携带的预测规则。
在 2901 名入组患者中,入院筛查发现 111 例(3.8%)新的 MRSA 携带者。MRSA 携带的独立危险因素包括导尿管(优势比:4.4;95%置信区间:2.0-9.9)、养老院居住(3.8;1.9-7.7)、慢性皮肤病(2.9;1.5-5.8)、伤口/溃疡(2.4;1.5-4.0)、近期住院(2.2;1.5-3.3)、糖尿病(1.6,1.02-2.5)和年龄>70 岁(1.5;1.03-2.3)。然而,各中心的风险因素不同。所有中心的常见预测规则的 c 统计量为 0.64,表明预测能力有限。
欧洲国家外科病房的 MRSA 携带者风险特征不同。确定当地的风险因素很重要,因为发现一个常见的欧洲预测规则临床价值有限。