Volume 22 Issue 7
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Article Navigation >  Chinese Journal of General Practice  > 2024  >  22(7): 1154-1157
JIANG Ruiting, NI Qichao, WANG Yujia, MIN Jingjing. Correlation between EEG characteristics and neuropeptide Y and epilepsy risk after acute stroke[J]. Chinese Journal of General Practice, 2024, 22(7): 1154-1157. doi: 10.16766/j.cnki.issn.1674-4152.003588
Citation: JIANG Ruiting, NI Qichao, WANG Yujia, MIN Jingjing. Correlation between EEG characteristics and neuropeptide Y and epilepsy risk after acute stroke[J]. Chinese Journal of General Practice, 2024, 22(7): 1154-1157. doi: 10.16766/j.cnki.issn.1674-4152.003588
shu

Correlation between EEG characteristics and neuropeptide Y and epilepsy risk after acute stroke

doi: 10.16766/j.cnki.issn.1674-4152.003588

  • Department of Electroencephalogram Room, Huzhou First People' s Hospital, Huzhou, Zhejiang 313000, China

Funds:

 2021KY1097

 2019GYB06

  • Received Date: 2024-01-03
    Available Online: 2024-09-05
    Abstract
  •   Objective  To explore the influence of EEG characteristics and neuropeptide Y level on the risk of epilepsy after acute stroke, and analyze the related factors.  Methods  A total of 46 patients with epilepsy after acute stroke treated in Huzhou First People' s Hospital from March 2021 to March 2022 were selected as the research object, and 43 patients with non-epilepsy after acute stroke treated in the same period were selected as the observation control. All subjects were given EEG monitoring for at least 2 hours, and their neuropeptide Y levels were detected, and the correlation between their levels and EEG characteristics and the progress of epilepsy after acute stroke was analyzed.  Results  Slow wave index, BSI, and DTABR in the epileptic group were higher than those in the non-epileptic group (P < 0.05). The levels of neuropeptide Y in the epileptic group were lower than those in the non-epileptic group, and the levels of NSE, Hcy, and hs-CRP were higher than those in the non-epileptic group (P < 0.05). Multivariate logistic regression analysis showed that neuropeptide Y (OR=0.671), NSE (OR=1.174), slow wave index (OR=1.124), and BSI (OR=1.344) were independent risk factors for epilepsy after acute stroke (P < 0.05). ROC curve showed that the combined prediction of neuropeptide Y, slow wave index and BSI has the highest prediction efficiency, with AUC of 0.976, sensitivity of 93.48%, and specificity of 97.67%.  Conclusion  Abnormal changes in EEG characteristics and the decrease of neuropeptide Y level are risk factors for epilepsy after acute stroke. Neuropeptide Y level and EEG characteristics can be used to prevent and treat epilepsy after acute stroke.

     

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