Objective To detect the level of serum neuron-specific enolase(NSE)in patients with epilepsy,and analyze their correlation with electroencephalogram(EEG)characteristics,as well as identify predictive factors for epilepsy re-currence.Methods A total of 95 epileptic patients admitted to Huzhou First People's Hospital from January 2021 to February 2023 were selected as the research group and 30 healthy people were selected as the control group during the same period.Serum NSE levels were detected by enzyme-linked immunosorbent assay,and the correlation between serum NSE levels and EEG was analyzed by Kendall's correlation.After a one-year follow-up,patients with epilepsy in the re-search group were divided into a non-recurrence group(n=41)and a recurrence group(n=52).The influencing factors of epilepsy recurrence were analyzed by multivariate logistic regression.Results The levels of serum NSE,galanin(GAL),and TNF-α in the research group were higher than those in the control group(P＜0.05).The levels of serum NSE,GAL,and TNF-α in different EEG abnormal groups were significantly different(P＜0.05).Kendall's correlation analysis showed positive correlations between NSE,GAL,and TNF-α and the degree of EEG abnormality(P＜0.05).The recurrence group showed significant differences in the number of anti-epileptic drugs taken and the levels of serum NSE,GAL,and TNF-α compared to the non-relapse group(P＜0.05).Multivariate logistic regression analysis showed that higher levels of NSE(OR=1.259)and TNF-α(OR=1.097)were independent risk factors for the recurrence of ep-ilepsy(P＜0.05).The ROC curve analysis showed that the AUC of 0.859(95％CI:0.786-0.932)for NSE and 0.703(95％CI:0.594-0.811)for TNF-α.Conclusion The higher serum NSE levels are associated with higher EEG abnor-malities in epileptic patients.Serum NSE levels have a high predictive value for epileptic recurrence and can serve as an independent predictive index of recurrence risk.
NETL
NSTL
万方数据
