中华护理杂志 ›› 2026, Vol. 61 ›› Issue (9): 1269-1276.DOI: 10.3761/j.issn.0254-1769.2026.09.017

• 证据综合研究 • 上一篇    下一篇

血液透析患者自体动静脉内瘘血栓形成风险预测模型的Meta分析

李田田1(), 渠楠1, 崔丽萍1,*(), 蔚玲1, 张莉峰2, 程伊薇1, 孙双1   

  1. 1 山西中医药大学护理学院 山西省晋中市 030619
    2 山西医科大学第三医院/山西白求恩医院(山西医学科学院)/同济山西医院疼痛科 太原市 030032
  • 收稿日期:2025-12-05 出版日期:2026-05-10 发布日期:2026-04-30
  • *通讯作者: 崔丽萍,E-mail:cuiliping@sxbqeh.com.cn
  • 作者简介:李田田:女,本科(硕士在读),护师,E-mail:17835417021@163.com
    第一联系人:

    李田田:文献检索、资料提取与质量评价、论文撰写与修改;渠楠:资料提取与质量评价,论文修改;崔丽萍:选题指导、全文质量把控;蔚玲:论文撰写与修改;张莉峰、程伊薇、孙双:文献检索、数据整理

Risk prediction models for thrombosis in autologous arteriovenous fistulas in hemodialysis patients:a Meta-analysis

LI Tiantian1(), QU Nan1, CUI Liping1,*(), WEI Ling1, ZHANG Lifeng2, CHENG Yiwei1, SUN Shuang1   

  1. 1 School of NursingShanxi University of Chinese Medicine,JinzhongShanxi Province 030619, China
    2 Department of Painthe Third Hospital of Shanxi Medical University,Bethune Hospital of Shanxi(Shanxi Academy of Medical Sciences),Tongji Shanxi HospitalTaiyuan 030032, China
  • Received:2025-12-05 Online:2026-05-10 Published:2026-04-30
  • * Corresponding author: CUI Liping,E-mail:cuiliping@sxbqeh.com.cn

摘要:

目的 系统评价血液透析患者自体动静脉内瘘(arteriovenous fistula,AVF)血栓形成风险的预测模型,为临床筛选或开发高质量的风险评估工具提供参考。方法 检索PubMed、Embase、Cochrane Library、Web of Science、CINAHL、Medline、中国知网、万方数据库、维普数据库和中国生物医学文献数据库,检索时限为建库至2026年1月20日。由2名研究者独立完成文献筛选、资料提取及偏倚风险评估,使用MedCalc 23.0.1软件对各模型的曲线下面积进行Meta分析。结果 共纳入9项研究,涉及15个预测模型,样本总量为5 280例。敏感性分析之后Meta分析结果显示,受试者工作特征曲线下面积为0.833(95%CI:0.808~0.857),异质性检验I2=0(P=0.757)。纳入研究整体适用性较好,但总体偏倚风险较高。共性预测因子包括纤维蛋白原、超敏C反应蛋白、AVF狭窄、血小板、糖尿病,以及压迫止血时间。结论 现有血液透析患者AVF血栓形成风险预测模型的开发和验证仍需进一步完善,未来研究应基于真实世界数据,开展大样本、多中心的前瞻性队列研究,从而为血液透析患者AVF血栓形成的二级预防提供实证依据。

关键词: 血液透析, 自体动静脉内瘘, 血栓形成, 预测模型, 系统评价, Meta分析

Abstract:

Objective This systematic review aims to evaluate the predictive models for thrombosis risk in arteriovenous fistulas(AVF) of hemodialysis patients,providing a reference for the clinical screening or development of high-quality risk assessment tools. Methods Databases including PubMed,Embase,Cochrane Library,Web of Science,CINAHL,Medline,CNKI,Wanfang Database,VIP,and CBM were searched from their inception to January 20,2026. There were 2 researchers who independently completed the literature screening,data extraction,and risk of bias assessment. Meta-analysis of the area under the curve of each model was conducted using MedCalc 23.0.1 software. Results A total of 9 studies involving 15 predictive models and 5,280 cases were included. After sensitivity analysis,the meta-analysis result was of the area under the curve 0.833(95%CI:0.808~0.857),with heterogeneity test I2=0(P=0.757). The overall applicability of the included studies was good,but the overall risk of bias was high. Common predictive factors included fibrinogen,high-sensitivity C-reactive protein,AVF stenosis,platelets,diabetes,and compression hemostasis time. Conclusion The development and validation of predictive models for AVF thrombosis risk in hemodialysis patients still need to be further improved. Future research should be based on real-world data and conduct large-sample,multi-center prospective cohort studies to provide empirical evidence for secondary prevention of AVF thrombosis in hemodialysis patients in China.

Key words: Hemodialysis, Autologous Arteriovenous Fistula, Thrombosis, Predictive Model, Systematic Review, Meta-Analysis