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中华脑血管病杂志(电子版) ›› 2026, Vol. 20 ›› Issue (03) : 342 -346. doi: 10.3877/cma.j.issn.1673-9248.2026.03.015

综述

脓毒症的脑功能监测——重点关注脑电图
邓双逍1, 韦静静2, 周保纯2,()   
  1. 1 410300 湖南浏阳,浏阳市人民医院重症医学科
    2 215004 江苏苏州,苏州大学附属第二医院急重症医学科
  • 收稿日期:2025-12-08 出版日期:2026-06-01
  • 通信作者: 周保纯
  • 基金资助:
    江苏省卫生健康委医学科研立项项目(M2025041); 苏州市“科教强卫”项目(MSXM2024008); 姑苏区第三批高技术服务产业项目(2025); 苏州大学附属第二医院科研预研基金项目(SDFEYBS2004)

Monitoring brain function in sepsis: with a focus on electroencephalography

Shuangxiao Deng1, Jingjing Wei2, Baochun Zhou2,()   

  1. 1 Department of Critical Care Medicine, Liuyang People's Hospital, Liuyang 410300, China
    2 Department of Emergency and Critical Care Medicine, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
  • Received:2025-12-08 Published:2026-06-01
  • Corresponding author: Baochun Zhou
引用本文:

邓双逍, 韦静静, 周保纯. 脓毒症的脑功能监测——重点关注脑电图[J/OL]. 中华脑血管病杂志(电子版), 2026, 20(03): 342-346.

Shuangxiao Deng, Jingjing Wei, Baochun Zhou. Monitoring brain function in sepsis: with a focus on electroencephalography[J/OL]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2026, 20(03): 342-346.

脓毒症是重症监护病房(ICU)危重患者的主要死亡原因之一。脓毒症相关性脑病(SAE)可导致患者长期认知功能障碍与病死率的进一步升高,从而增加患者家庭与社会的经济负担。因此,对脓毒症患者实施脑功能监测具有重要的临床意义。在ICU环境中,脓毒症患者的神经功能评估常受多种因素干扰,脑电图(EEG)因其无创及敏感度高等优势在SAE评估中发挥关键作用。因此,本文将重点探讨EEG在SAE中的具体应用进展,旨在为SAE的早期识别与预测提供方法学依据与循证支持。

Sepsis is one of the leading causes of death among critically ill patients in intensive care units (ICUs). Sepsis-associated encephalopathy (SAE) can lead to long-term cognitive dysfunction and diagnosis and treatment, thereby increasing the economic burden on families and society. Therefore, cerebral function monitoring in septic patients is of great clinical significance. In the ICU setting, the neurological assessment of septic patients is often hindered by multiple confounding factors. Electroencephalogram (EEG) plays a critical role in the assessment of SAE due to its non-invasive nature and high sensitivity. Therefore, this article focuses on the specific advances in the application of EEG in SAE, aiming to provide a methodological basis and evidence-based support for the early identification and prediction of SAE.

表1 Synek分级标准
表2 Young分级标准
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