Yan Yujia, An Xingwei, Ma Yuxiang, Jiang Zeliang, Di Yang, Li Tingting, Wang Honglin, Ren Hecheng, Ma Lin, Luo Bin, Huang Ying
Tianjin Key Laboratory of Brain Science and Neuroengineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China.
Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, People's Republic of China.
J Neurointerv Surg. 2025 Jul 14;17(8):883-889. doi: 10.1136/jnis-2024-022011.
Early neurological deterioration (END) is a serious complication in patients with large vessel occlusion (LVO) stroke. However, modalities to monitor neurological function after endovascular treatment (EVT) are lacking. This study aimed to evaluate the diagnostic accuracy of a quantitative electroencephalography (qEEG) system for detecting END.
In this prospective, nested case-control study, we included 47 patients with anterior circulation LVO stroke and 34 healthy adults from different clinical centers in Tianjin, China, from May 2023 to January 2024. Patients with stroke underwent EEG at admission and after EVT. The diagnostic accuracy of qEEG features for END was evaluated by receiver operating characteristic curve analysis, and the feasibility was evaluated by the percentage of artifact-free data and device-related adverse events.
14 patients with stroke had END (29.8%, 95% CI 16.2% to 43.4%), with most developed within 12 hours of recanalization (n=11). qEEG features showed significant correlations with National Institutes of Health Stroke Scale score and infarct volume. After matching, 13 patients with END and 26 controls were included in the diagnostic analysis. Relative alpha power demonstrated the highest diagnostic accuracy for the affected and unaffected hemispheres. The optimal electrode positions were FC3/4 in the unaffected hemisphere, and F7/8 and C3/4 in the affected hemisphere. No device-related adverse events were reported.
The qEEG system exhibits a high diagnostic accuracy for END and may be a promising tool for monitoring neurological function. The identification of optimal electrode positions may enhance device convenience.
ChiCTR 2300070829.
早期神经功能恶化（END）是大血管闭塞（LVO）性卒中患者的一种严重并发症。然而，血管内治疗（EVT）后缺乏监测神经功能的方法。本研究旨在评估定量脑电图（qEEG）系统检测END的诊断准确性。
在这项前瞻性巢式病例对照研究中，我们纳入了2023年5月至2024年1月来自中国天津不同临床中心的47例前循环LVO性卒中患者和34名健康成年人。卒中患者在入院时和EVT后接受脑电图检查。通过受试者工作特征曲线分析评估qEEG特征对END的诊断准确性，并通过无伪迹数据的百分比和与设备相关的不良事件评估可行性。
14例卒中患者发生END（29.8%，95%CI 16.2%至43.4%），大多数在再通后12小时内发生（n = 11）。qEEG特征与美国国立卫生研究院卒中量表评分和梗死体积显著相关。匹配后，13例END患者和26例对照纳入诊断分析。相对阿尔法功率在患侧和未患侧半球显示出最高的诊断准确性。最佳电极位置在未患侧半球为FC3/4，在患侧半球为F7/8和C3/4。未报告与设备相关的不良事件。
qEEG系统对END具有较高的诊断准确性，可能是监测神经功能的一种有前景的工具。确定最佳电极位置可能会提高设备的便利性。
ChiCTR 2300070829。
