详细信息
Development of a risk prediction model for catheter-related bloodstream infection in hemodialysis patients based on identified risk factors ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Development of a risk prediction model for catheter-related bloodstream infection in hemodialysis patients based on identified risk factors
作者:Jia, Xinyan[1];Gao, Hongmei[1];Lu, Jingyan[1];Zhu, Xuexin[1];Ma, Xiao[1];He, Jinhong[1];Jia, Liyan[2];Huang, Xinmei[1];Cao, Wenqiong[1]
第一作者:Jia, Xinyan
通信作者:Huang, XM[1];Cao, WQ[1]
机构:[1]Gansu Univ Chinese Med, Peoples Hosp Lanzhou City 1, Clin Med Coll 2, Dept Nephrol, 1 West Wujiayuan St, Lanzhou 730050, Gansu, Peoples R China;[2]Gansu Univ Chinese Med, Peoples Hosp Lanzhou City 1, Clin Med Coll 2, Dept Gastroenterol, Lanzhou 730050, Gansu, Peoples R China
第一机构:甘肃中医药大学
通信机构:[1]corresponding author), Gansu Univ Chinese Med, Peoples Hosp Lanzhou City 1, Clin Med Coll 2, Dept Nephrol, 1 West Wujiayuan St, Lanzhou 730050, Gansu, Peoples R China.|[10735]甘肃中医药大学;
年份:2026
卷号:18
期号:5
起止页码:4280
外文期刊名:AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH
收录:;WOS:【SCI-EXPANDED(收录号:WOS:001786759700013)】;
基金:This work was supported by the Lanzhou Youth Science and Technology Talent Innovation Project (2024-QN-155) .
语种:英文
外文关键词:Maintenance hemodialysis; central venous catheter; catheter-associated bloodstream infection; risk factors; risk prediction models
摘要:Objective: To analyze the risk factors for catheter-related bloodstream infection (CRBSI) in patients with deep vein indwelling hemodialysis catheters and construct a corresponding risk prediction model. Methods: Data were retrospectively collected from 154 patients who underwent temporary hemodialysis via an indwelling central venous catheter (CVC) between January 2023 and December 2024. One hundred patients who received hemodialysis via a Gracz arteriovenous fistula during the same period were also selected to analyze the impact of the dialysis method. Additionally, 58 maintenance hemodialysis patients with CVCs admitted from January to December 2022 were enrolled as a validation group. The incidence of CVC-related bloodstream infections was recorded. The risk factors of deep venous CRBSI were determined by multivariate Logistic regression analysis, and the risk prediction model was constructed and verified. Results: Univariate analysis identified diabetes mellitus, catheter indwelling time, femoral vein catheterization, age, and serum albumin level as significant influencing factors for CVCassociated bloodstream infection (P < 0.05). Multivariate logistic regression analysis confirmed that diabetes mellitus, prolonged indwellingtime, and femoral vein placement were independent risk factors for CRBSI in maintenance hemodialysis patients (P < 0.05). The ROC curve for the constructed risk prediction model showed an area under the curve (AUC) of 0.783. The overall prediction accuracy of the model was 90.00%. Conclusion: Diabetes mellitus, prolonged catheter indwellingtime, and femoral vein catheterization are independent risk factors for CRBSI in maintenance hemodialysis patients. The developed risk prediction model demonstrates good predictive performance.
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