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定量脑电图对大脑中动脉闭塞性脑梗死侧支循环及预后的评估价值

朱英标 官常荣 吕锦 陈伟康 李洁 蓝丽康

朱英标, 官常荣, 吕锦, 陈伟康, 李洁, 蓝丽康. 定量脑电图对大脑中动脉闭塞性脑梗死侧支循环及预后的评估价值[J]. 中华全科医学, 2024, 22(1): 108-111. doi: 10.16766/j.cnki.issn.1674-4152.003343
引用本文: 朱英标, 官常荣, 吕锦, 陈伟康, 李洁, 蓝丽康. 定量脑电图对大脑中动脉闭塞性脑梗死侧支循环及预后的评估价值[J]. 中华全科医学, 2024, 22(1): 108-111. doi: 10.16766/j.cnki.issn.1674-4152.003343
ZHU Yingbiao, GUAN Changrong, LYU Jin, CHEN Weikang, LI Jie, LAN Likang. The value of quantitative electroencephalography in assessing collateral circulation and prognosis in middle cerebral artery occlusive cerebral infarction[J]. Chinese Journal of General Practice, 2024, 22(1): 108-111. doi: 10.16766/j.cnki.issn.1674-4152.003343
Citation: ZHU Yingbiao, GUAN Changrong, LYU Jin, CHEN Weikang, LI Jie, LAN Likang. The value of quantitative electroencephalography in assessing collateral circulation and prognosis in middle cerebral artery occlusive cerebral infarction[J]. Chinese Journal of General Practice, 2024, 22(1): 108-111. doi: 10.16766/j.cnki.issn.1674-4152.003343

定量脑电图对大脑中动脉闭塞性脑梗死侧支循环及预后的评估价值

doi: 10.16766/j.cnki.issn.1674-4152.003343
基金项目: 

浙江省医药卫生科技计划项目 2021KY1233

详细信息
    通讯作者:

    朱英标,E-mail: zybiao5107@163.com

  • 中图分类号: R743  R741.044

The value of quantitative electroencephalography in assessing collateral circulation and prognosis in middle cerebral artery occlusive cerebral infarction

  • 摘要:   目的  分析脑梗死患者脑电图(EEG)指数的变化,探讨定量脑电图对大脑中动脉闭塞性脑梗死侧支循环及预后的评估价值。  方法  选择2020年6月—2022年12月在丽水市人民医院神经内科就诊,经影像证实为大脑中动脉闭塞性脑梗死患者78例。在发病72 h内完成EEG、多时相计算机体层血管成像(mCTA)和美国国立卫生院卒中量表(NIHSS)评分,在发病后3个月完成改良Barthel指数量表(MBI)评分。侧支循环评估采用mCTA ASITN/SIR侧支循环评估系统。通过Pearson法对EEG指数与mCTA ASITN/SIR评分、NIHSS评分及MBI评分进行相关性分析。  结果  EEG指数δ/α功率比(DAR)、(θ+δ)/(α+β)功率比(DTABR)、配对衍生脑对称指数(pdBSI)与ASITN/SIR评分(r=-0.734、-0.747、-0.759,P<0.01)、MBI评分(r=-0.802、-0.810、-0.853,P<0.01)均呈负相关关系,与NIHSS评分(r=0.876、0.875、0.813,P<0.01)均呈正相关关系。预后不良组EEG指数DAR(t=6.374, P<0.001)、DTABR(t=6.575, P<0.001)、pdBSI(t=9.171, P<0.001)高于预后良好组。ROC曲线分析显示, EEG指数DAR、DTABR、pdBSI对不良结局发生风险均有较高的预测价值(AUC>0.87)。  结论  定量脑电图能有效评估大脑中动脉闭塞性脑梗死神经损伤严重程度和侧支循环,对于3个月神经功能预后也有较好的预测价值。

     

  • 图  1  EEG指数预测AIS不良结局的ROC曲线

    Figure  1.  ROC curve of the EEG index for predicting adverse outcomes in AIS

    表  1  EEG指数与mCTA ASITN/SIR、NIHSS、MBI的相关性

    Table  1.   Correlation of EEG indices with mCTA ASITN/SIR, NIHSS, and MBI

    EEG指数 中位数(区间)a Pearson相关系数(r值)b
    mCTA ASITN/SIR NIHSS MBI
    DAR 3.17(0.81~15.21) -0.734 0.876 -0.802
    DTABR 2.95(0.78~13.84) -0.747 0.875 -0.810
    pdBSI 0.25(0.02~0.67) -0.759 0.813 -0.853
    注:a括号内表示最小值到最大值。bP<0.001。
    下载: 导出CSV

    表  2  不同预后AIS患者EEG指数比较(x±s)

    Table  2.   Comparison of EEG index in AIS patients with different prognosis(x±s)

    组别 例数 DAR DTABR pdBSI
    MBI≤60分 29 5.99±2.76 5.52±2.49 0.38±0.10
    MBI>60分 49 2.57±1.14 2.32±1.07 0.19±0.08
    t 6.374 6.575 9.171
    P <0.001 <0.001 <0.001
    下载: 导出CSV

    表  3  EEG指数对AIS不良结局的预测价值

    Table  3.   Predictive value of the EEG index for adverse outcomes in AIS

    EEG指数 AUC 95% CI SE P
    DAR 0.927 0.873~0.981 0.028 <0.001
    DTABR 0.935 0.884~0.985 0.026 <0.001
    pdBSI 0.940 0.881~1.000 0.030 <0.001
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-07-22
  • 网络出版日期:  2024-03-09

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