综合ICU多重耐药菌医院感染的风险模型构建

Construction of risk model for healthcareassociated infection with multidrugresistant organisms in general intensive care unit

摘要:

目的构建重症监护病房（ICU）多重耐药菌医院感染的风险模型。方法对2012年10月—2015年9月入住ICU＞48 h的836例患者进行回顾性分析,构建医院感染logistic回归模型,对模型进行拟和优度检验、ROC曲线下面积（AUC）分析。结果3年入住ICU＞48 h的患者共836例，多重耐药菌医院感染发病率为14.23%(119例)。15个单因素分析有意义的自变量纳入logistic多因素分析，结果显示，ICU住院时间（OR=2.493；95%CI：1.816～3.494）、基础疾病种类(OR=1.536； 95%CI：1.243～1.898)、低蛋白血症(OR=87.211；95%CI：36.165～210.304)、呼吸机插管日数(OR=1.723；95%CI=1.399～2.121)、发热（OR=20.639；95%CI：3.462～123.043）、原发肺部感染(OR=0.295；95%CI：0.133～0.664)变量进入logistic回归方程。评价模型效果：灵敏度95%，特异度87.9%，模型ROC的AUC为0.973。结论logistic回归模型对ICU患者医院感染预测风险拟合度较好。

Abstract:

ObjectiveTo construct the risk model for healthcareassociated infection (HAI) with multidrugresistant organisms(MDROs) in intensive care unit (ICU).Methods836 patients who were admitted to ICU for more than 48 hours between October 2012 and September 2015 were analyzed retrospectively, logistic regression model of HAI was constructed, the model was conducted goodness of fit tests and the area under ROC curve analysis.ResultsAmong 836 patients, incidence of HAI with MDROs was 14.23%(n=119). 15 variables that were statistically significant in univariate analysis were included in logistic multivariate analysis, the results showed that the following variables entered into logistic regression equation: length of ICU stay(OR,2.493 ［95%CI,1.816-3.494］）, underlying diseases(OR,1.536 ［95%CI, 1.243-1.898］), hypoproteinemia(OR,87.211 ［95%CI,36.165-210.304］), ventilator days (OR,1.723 ［95%CI,1.399-2.121］), fever（OR,20.639 ［95%CI,3.462-123.043］）, and primary pulmonary infection (OR,0.295 ［ 95%CI,0.133-0.664］). Evaluation of model effect: sensitivity 95%, specificity 87.9%, the area under ROC curve 0.973. ConclusionLogistic regression model has a high goodness of fit in predicting HAI among ICU patients.