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A Study of the Relationship between Secondary Epilepsy and EEG NSE and TNF-α Levels after Cerebral Infarction in the Elderly |
SUN Huanying, HAI Lihan, XU Chengwei, et al |
Xing'an League People's Hospital, Inner Mongolia Xing'an League 137400, China |
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Abstract Objective: To study the relationship between secondary epilepsy and EEG, NSE and TNF-α levels after cerebral infarction in the elderly. Methods: A retrospective data collection of 102 patients with cerebral infarction admitted to our hospital from July 2020 to July 2023 was performed. The patients were divided into 61 cases in the cerebral infarction epilepsy group and 41 cases in the simple cerebral infarction group according to the presence or absence of secondary epilepsy. In addition, 56 patients with normal physical examination at the same time and who did not use fibrinolytic active drugs recently were selected as the control group. The EEG abnormalities of the cerebral infarction epilepsy group and the simple cerebral infarction group were compared, and the levels of NSE and TNF-α in the control group, the cerebral infarction epilepsy group and the simple cerebral infarction group were compared. The EEG abnormalities, NSE and TNF-α levels of different seizure types and seizure types in the cerebral infarction epilepsy group were compared. The relationship between NSE and TNF-α levels and the severity of EEG in the epilepsy group of cerebral infarction was analyzed. Results: The total abnormal rate of EEG, NSE and TNF-α levels in the cerebral infarction epilepsy group were higher than those in the simple cerebral infarction group (P<0.05). The rate of EEG abnormality, NSE and TNF-α levels of status epilepticus in the cerebral infarction epilepsy group were higher than those of one seizure (P<0.05). In the cerebral infarction epilepsy group, the EEG abnormality rate, NSE and TNF-α levels of complex partial seizures were higher than those of simple partial seizures and generalised tonic clonic seizures (P<0.05). As the severity of EEG increased, the levels of NSE and TNF-α also gradually increased (P<0.05). Conclusion: EEG can be used as an important tool for the diagnosis of secondary epilepsy after cerebral infarction in the elderly and the determination of the type of epilepsy. The development process of secondary epilepsy after cerebral infarction in the elderly is related to NSE and TNF-α, which has potential clinical significance for predicting and preventing the disease, and provides new ideas for understanding the pathogenesis and treatment of the disease.
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