ISSN 2097-6046(网络)
ISSN 2096-7446(印刷)
CN 10-1655/R
主管:中国科学技术协会
主办:中华护理学会

中华急危重症护理杂志 ›› 2026, Vol. 7 ›› Issue (10): 1187-1193.doi: 10.3761/j.issn.2096-7446.2026.10.005

• 心脑血管急危重症护理专题 • 上一篇    下一篇

急诊预检分诊护士对脑卒中患者的识别现状及影响因素分析

张仁敏(), 王明明*(), 王鹏, 汤舒婷, 陈燕, 凌亚菁   

  1. 江苏大学附属人民医院急诊医学科 江苏省镇江市 212000
  • 收稿日期:2025-10-29 出版日期:2026-10-10 发布日期:2026-10-14
  • 通讯作者: *王明明,E-mail:1943876367@qq.com
  • 作者简介:张仁敏:女,本科(硕士在读),主管护师,E-mail:1350265966@qq.com
    作者贡献声明

    张仁敏:研究方案设计、论文撰写;王明明:研究指导、论文修改;王鹏:经费支持;汤舒婷、陈燕:数据收集;凌亚菁:数据整理、统计学分析

  • 基金资助:
    镇江市社会发展指导性科技计划项目(FZ2024067)

Analysis of the current situation and influencing factors of emergency triage nurses’ identification of stroke patients

ZHANG Renmin(), WANG Mingming*(), WANG Peng, TANG Shuting, CHEN Yan, LING Yajing   

  1. Emergency Medicine, People’s Hospital Affiliated to Jiangsu University,Zhenjiang, Jiangsu Province 212000, China
  • Received:2025-10-29 Online:2026-10-10 Published:2026-10-14
  • Contact: *WANG Mingming,E-mail:1943876367@qq.com
  • Supported by:
    Zhenjiang City Guiding Scientific and Technological Project for Social Development(FZ2024067)

摘要:

目的 调查急诊预检分诊护士识别脑卒中患者的现状及影响因素,为进一步优化脑卒中预检分诊流程提供参考。 方法 对2024年9月—12月镇江市某三级甲等医院急诊预检分诊脑卒中患者391例的临床资料进行回顾性分析。采用Logistic回归分析方法筛选影响分诊护士正确识别的影响因素。 结果 根据分诊护士是否正确识别脑卒中患者分为正确识别组197例与未正确识别组194例。急诊预检分诊护士对脑卒中患者正确识别率为50.3%。两组一侧肢体无力或麻木、一侧面部麻木或口角歪斜、言语不清、头晕或眩晕、恶心呕吐、意识障碍、头痛、既往糖尿病史、既往房颤病史、指脉搏血氧饱和度、当班分诊护士是否为急诊急救专科护士比较,差异有统计学意义(P<0.05)。进一步Logistic回归分析显示,一侧肢体无力或麻木(OR=0.498)、头晕或眩晕(OR=5.702)、意识障碍(OR=3.927)、既往房颤病史(OR=0.332)及分诊护士为急诊急救专科护士(OR=0.336),是急诊预检分诊护士对脑卒中患者正确识别的独立影响因素(P<0.05)。 结论 急诊预检分诊护士对脑卒中典型症状正确识别率较高,对非典型症状正确识别率较低。建议加强房颤病史、头晕等高危人群的问诊体检,并配备急诊急救专科护士;建立适合各级医院的脑卒中急诊预检分诊管理机制,推动脑卒中预检分诊流程标准化管理。

关键词: 急诊, 预检分诊, 脑卒中, 影响因素, 急救护理

Abstract:

Objective To investigate the current situation of emergency triage nurses’ correct identification of stroke patients and the risk factors,so as to provide a reference for further optimizing the emergency triage and screening process for stroke patients. Methods A retrospective analysis was conducted on the clinical data of 391 stroke patients in the emergency triage of a tertiary hospital in Zhenjiang from September to December 2024. Logistic regression analysis was used to screen the influencing factors of correct identification by triage nurses. Results The patients were divided into a correct identification group(197 cases) and an incorrect identification group(194 cases) based on whether the triage nurses correctly identified the stroke patients. The correct identification rate of stroke patients by emergency triage nurses was 50.3%. There were statistically significant differences between the two groups in terms of unilateral limb weakness or numbness,unilateral facial numbness or deviation of the mouth corner,unclear speech,dizziness or vertigo,nausea and vomiting,consciousness disorder,headache,history of diabetes,history of atrial fibrillation,finger pulse oxygen saturation,and whether the on-duty triage nurse was a specialized emergency nurse(P<0.05). Further logistic regression analysis showed that unilateral limb weakness or numbness(OR=0.498),dizziness or vertigo(OR=5.702),consciousness disorder(OR=3.927),history of atrial fibrillation(OR=0.332),and the triage nurse being a specialized emergency nurse(OR=0.336) were independent influencing factors for the correct identification of stroke patients by the emergency triage nurse(P<0.05). Conclusion Emergency triage nurses have a relatively high correct recognition rate for typical symptoms of stroke,but a relatively low correct recognition rate for atypical symptoms. It is suggested to conduct more in-depth inquiries and physical examinations for high-risk groups such as those with atrial fibrillation or dizziness,and to equip emergency rescue specialist nurses,to establish a management mechanism for emergency triage of stroke in hospitals at all levels,and promote the standardization of triage process for stroke.

Key words: Emergency, Triage and Screening, Stroke, Influencing Factors, Emergency Nursing