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综合ICU多重耐药菌医院感染的风险模型构建

李娇 商临萍 郭红菊 李伟 苏丹霞 张新 潘伟 郝春霞 车莎

中国感染控制杂志2016,Vol.15Issue(10):730-734,5.
中国感染控制杂志2016,Vol.15Issue(10):730-734,5.DOI:10.3969/j.issn.1671-9638.2016.10.003

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 multi-drug-resistant organisms in general intensive care unit

李娇 1商临萍 2郭红菊 2李伟 2苏丹霞 2张新 2潘伟 2郝春霞 2车莎2

作者信息

  • 1. 山西医科大学护理学院,山西 太原 030001
  • 2. 山西医科大学第一医院,山西 太原 030001
  • 折叠

摘要

Abstract

Objective To construct the risk model for healthcare-associated infection (HAI)with multidrug-re-sistant organisms(MDROs)in intensive care unit (ICU).Methods 836 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. Results Among 836 patients,incidence of HAI with MDROs was 14.23%(n=119).15 variables that were statis-tically 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.Conclusion Logistic regression model has a high goodness of fit in predicting HAI among ICU patients.

关键词

重症监护病房/ICU/医院感染/多重耐药菌/风险模型

Key words

intensive care unit/ICU/healthcare-associated infection/multidrug-resistant organism/risk model

分类

医药卫生

引用本文复制引用

李娇,商临萍,郭红菊,李伟,苏丹霞,张新,潘伟,郝春霞,车莎..综合ICU多重耐药菌医院感染的风险模型构建[J].中国感染控制杂志,2016,15(10):730-734,5.

基金项目

山西省科技攻关项目 ()

中国感染控制杂志

OA北大核心CSTPCD

1671-9638

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