Construction of a predictive model for catheter-related bloodstream infection in chronic renal failure patients undergoing hemodialysis
10.3760/cma.j.cn115682-20220308-01067
- VernacularTitle:慢性肾功能衰竭血液透析患者导管相关性血流感染预测模型的构建
- Author:
Shan WANG
1
;
Zhiyuan ZHANG
;
Jia YAO
;
Lin ZHAO
;
Yuchen ZHANG
;
Yanru MA
Author Information
1. 中国医学科学院 北京协和医院国际医疗部，北京 100730
- Keywords:
Dialysis;
Hemodialysis;
Chronic renal failure;
Catheter-related bloodstream infection;
Prediction model
- From:
Chinese Journal of Modern Nursing
2022;28(23):3123-3127
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the influencing factors of catheter-related bloodstream infection (CRBSI) in chronic renal failure (CRF) hemodialysis patients and to construct a risk prediction model.Methods:Using the convenient sampling method, a total of 90 CRF patients who underwent hemodialysis in International Medical Department of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences from May 2018 to May 2021 were selected as the research objects. The gender, age, catheter placement site, catheter type, catheter retention time, catheter care times, tube sealing method, strict hand hygiene, combination with diabetes, hemoglobin, serum albumin, dialysis time, immunosuppressant and other data of the patients were analyzed. Univariate analysis and multivariate Logistic regression were used to analyze the influencing factors of CRBSI in CRF patients and a prediction model was established. Hosmer-Lemeshow (H-L) test and area under the receiver operating characteristic curve ( AUC) were used to verify the fitting effect and discrimination of the model. Results:Among the 90 CRF hemodialysis patients, 16 patients developed CRBSI, with an incidence rate of 17.78% (16/90) . The results of univariate analysis showed that age, catheter placement site, catheter type, catheter retention time, catheter nursing times, strict implementation of hand hygiene, combination with diabetes mellitus, hemoglobin, and serum albumin were the influencing factors of CRBSI in CRF patients ( P<0.05) . Multivariate Logistic regression analysis showed that femoral vein, temporary catheter, catheter retention time greater than 2 weeks, not strictly implementing hand hygiene, complicated with diabetes and serum albumin less than 30 g/L were independent risk factors for CRBSI in CRF hemodialysis patients ( P<0.05) . The H-L test results showed that the model had good goodness of fit (χ 2=7.978, P=0.436) . The receiver operating characteristic curve analysis showed that the AUC of the model was 0.889, the best cut-off value was 0.732, the sensitivity was 81.30% and the specificity was 91.90%. Conclusions:There are many risk factors for CRBSI in RF hemodialysis patients. The establishment of the early warning model is conducive to the early risk assessment of CRBSI occurrence and the formulation of countermeasures to reduce the actual incidence of CRBSI.
