Informationized surveillance of central line-associated bloodstream infections in maintenance hemodialysis patients and risk factors
10.11816/cn.ni.2025-246416
- VernacularTitle:维持性血液透析中心静脉导管相关血流感染信息化监测及其危险因素
- Author:
Ziqing GUO
1
;
Menghan ZHAO
;
Bing ZHANG
;
Qi QI
;
Yaoyao MA
;
Jinping LIU
;
Yiping MAO
Author Information
1. 徐州医科大学护理学院,江苏徐州 221004
- Publication Type:Journal Article
- Keywords:
Informatization surveillance;
Maintenance hemodialysis;
Central line-associated bloodstream infection;
Risk factor;
Prediction model
- From:
Chinese Journal of Nosocomiology
2025;35(5):752-757
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To explore the risk factors for central line-associated bloodstream infection(CLABSI)in the maintenance hemodialysis(MHD)patients based on the informatization surveillance system and establish and verify the risk prediction model so as to provide bases for early identification and prevention of CLABSI.METHODS A total of 300 MHD patients who were treated in hemodialysis center of the Affiliated Hospital of Xuzhou Medical University from Jan.2020 to Dec.2023 were recruited as the research subjects and were randomly divided into the training set group with 210 cases and the validation set group with 90 cases in a 7∶3 ratio.The risk factors for the CLABSI were analyzed,the prediction model was established and verified.The performance of the model was evaluated by the area under the curve(AUC)of receiver operating characteristic(ROC)curves and Hosmer-Lemeshow goodness of fit test.RESULTS Among the 300 MHD patients who were treated with central venous catheters,32 were diagnosed with CLABSI,and the incidence was 0.65 per 1,000 catheter days.Multivari-ate analysis showed that catheter indwelling time,repeated catheterization,previous history of catheter-related in-fection and diabetes mellitus were the risk factors for the CLABSI in the MHD patients(P＜0.05).The model based on the logistic regression equation was established as follows:logit(P)=-5.661+0.024 × catheter in-dwelling duration(week)+2.037 × repeated catheterization+1.546 × previous history of catheter-related infec-tion+3.391× diabetes mellitus.ROC curve analysis showed that the AUC of the training set was 0.916(95％CI:0.837 to 0.994),with the sensitivity 87.00％,the specificity 86.63％,Youden index 0.736;the AUC of the vali-dation set was 0.797(95％CI:0.632 to 0.962),with the sensitivity 77.78％,the specificity 82.72％,the Youden index 0.605.The model showed excellent discrimination and calibration degree.CONCLUSION The logistic regres-sion equation that is established based on the 4 risk factors,catheter indwelling duration,repeated catheterization,previous history of catheter-related infection and diabetes mellitus,shows remarkable predictive efficiency,and it can provide evidence for clinical screening and prevention of CLABSI.
