中国血液净化 ›› 2021, Vol. 20 ›› Issue (11): 773-777.doi: 10.3969/j.issn.1671-4091.2021.11.013

• 血管通路 • 上一篇    下一篇

血液透析患者带隧道带涤纶套导管相关性血流感染危险因素分析及预测模型构建与验证

刘莉莉1,刘玉秋1,仰欣1,施雯1,涂岩1,潘明明1,张晓良1   

  1. 1东南大学附属中大医院肾脏科,东南大学医学院
  • 收稿日期:2021-05-25 修回日期:2021-09-07 出版日期:2021-11-12 发布日期:2021-10-29
  • 通讯作者: 张晓良 tonyxlz@163.com E-mail:tonyxlz@163.com
  • 基金资助:
    国家自然科学基金(81870497)

Analysis of risk factors and development of a predictive model for tunnel-cuffed catheter-related bloodstream infection in hemodialysis patients

  1. 1Department of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
  • Received:2021-05-25 Revised:2021-09-07 Online:2021-11-12 Published:2021-10-29

摘要: 【摘要】目的探讨应用长期导管血液透析并发导管相关性血流感染的危险因素,并建立相关预测模型。方法回顾性分析长期静脉置管行血液透析的终末期肾病患者临床资料,对训练组患者并发导管相关性血流感染的危险因素进行Logistic 回归分析,利用R 语言建立预测模型,并通过验证组对模型预测性能进行验证。结果导管相关性血流感染的危险因素包括吸烟史、贫血、糖尿病,由此构建的预测模型在训练组和验证组中C 指数分别为0.761 和0.714。结论该模型能够有效筛选血液透析患者并发导管相关性血流感染的高危人群。

关键词: 血液透析, 带隧道带涤纶套导管, 导管相关性血流感染, 危险因素, 列线图模型

Abstract: 【Abstract】Objective To explore the risk factors and to establish a predictive model for catheter-related bloodstream infection in hemodialysis patients with long-term intravenous catheters. Methods We retrospectively analyzed the clinical data of end-stage renal disease patients undergoing hemodialysis using long-term indwelling intravenous catheters. Logistic regression analysis was performed to detect the risk factors for catheter-related bloodstream infection in the training group. R-studio was used to create the predictive model, and performance of the model was examined in the validation group. Results Smoking history, anemia and diabetes were the risk factors for catheter-related bloodstream infections. The C-indices of the training group and validation group from the established predictive model were 0.761 and 0.714, respectively. Conclusion The predictive model we established can effectively find out the high-risk group of catheter-related bloodstream infection in hemodialysis patients using long-term tunnel-cuffed catheters.

Key words: Hemodialysis, Tunnel- cuffed catheter, Catheter- related bloodstream infection, Risk factors, Predictive model

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