Construction of risk model for healthcare-associated infection with multi-drug-resistant organisms in general intensive care unit
10.3969/j.issn.1671-9638.2016.10.003
- VernacularTitle:综合ICU多重耐药菌医院感染的风险模型构建
- Author:
Jiao LI
;
Linping SHANG
;
Hongju GUO
;
Wei LI
;
Danxia SU
;
Xin ZHANG
;
Wei PAN
;
Chunxia HAO
;
Sha CHE
- Publication Type:Journal Article
- Keywords:
intensive care unit;
ICU;
healthcare-associated infection;
multidrug-resistant organism;
risk model
- From:
Chinese Journal of Infection Control
2016;15(10):730-734
- CountryChina
- Language:Chinese
-
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.
