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
综述

急性缺血性脑卒中溶栓代理决策者决策困境的研究进展

  • 李玲玲 ,
  • 任李媛 ,
  • 马佩芬 ,
  • 颜辉 ,
  • 王兴蕾 ,
  • 苏璇 ,
  • 豆欣蔓
展开
  • 1 兰州大学护理学院 兰州市 730000
    2 兰州大学第二医院护理部 兰州市 730030
    3 兰州大学第二医院心血管内科兰州市 730030
    4 兰州大学第二医院重症医学科 兰州市 730030
李玲玲:女,本科(硕士在读),主管护师,E-mail:1649959567@qq.com
* 豆欣蔓,E-mail:douxm@lzu.edu.cn

收稿日期: 2025-05-15

  网络出版日期: 2026-04-02

基金资助

2024年甘肃省第五批省级科技计划(联合科研基金)(24JRRA925)

Research progress on decision-making dilemmas of surrogate decision makers for thrombolysis in acute ischemic stroke

  • LI Lingling ,
  • REN Liyuan ,
  • MA Peifen ,
  • YAN Hui ,
  • WANG Xinglei ,
  • SU Xuan ,
  • DOU Xinman
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  • 1 School of NursingLanzhou UniversityLanzhou 730000, China
    2 Nursing Departmentthe Second Hospital of Lanzhou UniversityLanzhou 730030, China
    3 Department of Cardiovascular Medicinethe Second Hospital of Lanzhou UniversityLanzhou 730030, China
    4 Department of Critical Care Medicinethe Second Hospital of Lanzhou UniversityLanzhou 730030, China
* DOU Xinman,E-mail:douxm@lzu.edu.cn

Received date: 2025-05-15

  Online published: 2026-04-02

Supported by

The 5th Batch of Provincial Science and Technology Plan(Joint Research Fund) of Gansu Province,2024(24JRRA925)

摘要

急性缺血性脑卒中溶栓代理决策者常因多重压力陷入决策困境,导致决策延迟。该文对急性缺血性脑卒中溶栓代理决策者决策困境的概念内涵、评估工具、影响因素及应对策略进行综述,提出了溶栓决策临床实践路径以及现有研究的不足和建议,旨在为早期识别决策困境风险、人工智能赋能制订个体化决策辅助方案、进一步优化急性缺血性脑卒中救治流程提供理论和实践依据。

本文引用格式

李玲玲 , 任李媛 , 马佩芬 , 颜辉 , 王兴蕾 , 苏璇 , 豆欣蔓 . 急性缺血性脑卒中溶栓代理决策者决策困境的研究进展[J]. 中华急危重症护理杂志, 2026 , 7(4) : 503 -507 . DOI: 10.3761/j.issn.2096-7446.2026.04.020

Abstract

Surrogate decision-makers for thrombolysis in acute ischemic stroke often fall into decision-making dilemmas due to multiple pressures,resulting in decision delays. This article reviews the connotation,assessment tools,influencing factors,and coping strategies of the decision-making dilemma of surrogate decision makers for thrombolytic therapy in acute ischemic stroke,proposes the thrombolytic decision-making clinical practice pathway,limitation of current research and suggestions. It aims to provide theoretical and practical basis for early identification of decision-making dilemma risks,AI-enabled formulation of individualized decision-making assistance plans,and further optimization of the treatment process for acute ischemic stroke.

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