| The first part:QEEG characteristics of elderly patients with first stroke and their correlation with cognitive function 7 days after stroke.Objective:To analyze the characteristics of quantitative electroencephalogram(QEEG)in elderly patients with first cerebral infarction and evaluate its application value in post stroke cognitive impairment assessment.Method:64 patients over 65 years old with first acute cerebral infarction admitted to the department of Neurology of our hospital from October 2019 to January2020 were collected as the experimental group.According to the results of the MoCA-B(Montreal Cognitive Assess-Basic)scale corrected by years of education,the subjects in the experimental group are divided into the post-stroke cognitive impairment(PSCI)group(42 cases)and the post-stroke cognitive Normal(PSN)group(22 cases).In addition,35 patients matched in age and gender in the physical examination department of our hospital are selected as the control group.The scalp EEG data of each group were collected for quantitative analysis,and the characteristics of the data were summarized to evaluate its correlation with the result of MoCA-B scale.Result:1.TAR in the control group,PSN group,and PSCI group are respectively1.48(1.04,2.1),1.82(1.44,2.16),2.52(2.13,3.8),showing a increasing trend and the PSCI group is significantly higher than the PSN group and the control group,P<0.01.2.The TAR is negatively correlated with the MoCA-B scale score(r=-0.703,P=0.000).3.The best cut-off point for TAR to assess the occurrence of early cognitive impairment after the first cerebral infarction in the elderly is 2.11,and the area under the ROC curve is 0.809(95%CI:0.697-0.921,P=0.001).Conclusion:TAR can provide a objective basis in the evaluation of cognitive impairment after the first cerebral infarction in the elderly.The second part:The correlation between QEEG indicators and cognitive function in elderly patients with first stroke after 3 months.Objective:To explore the relationship between quantitative electroencephalogram(QEEG)indicators and cognitive function in elderly patients with first stroke after 3 months.Method:Continuously enrolled 198 inpatients in the Department of Neurology of the Affiliated Hospital of Chengde Medical College,collected scalp EEG data and performed quantitative analysis.The Montreal Cognitive Assessment-Basic(MoCA-B)scale was 90±10 days after the completion of the follow-up.According to the results of the MoCA-B scale,they were divided into the Post-stroke cognitive impairment(PSCI)group and the Post-stroke cognitive normal(PSN)group.Explore the correlation between QEEG indicators and the results of MoCA-B,and use ROC curve to analyze its predictive value for cognitive function in 3 months after stroke.Result:1.Comparing the PSCI group with the PSN group:the absolute power values ofαwave(μV~2)are 5.65±1.26,7.47±1.11;the absolute power values of theta wave(μV~2)are 14.05±2.08,12.20±1.60;theθ/αvalues(TAR)are respectively 2.72(1.93,2.43),1.71(1.36,1.94),there are statistically significant differences,P<0.001.2.TAR is significantly negatively correlated with MoCA-B(P<0.001,r=-0.812).3.Binary logistics regression analysis showed that TAR is an independent risk factor for cognitive dysfunction in 3 months after stroke(OR=0.034,95%CI:0.002~0.725,P=0.03).4.The best cut-off point of TAR predicting cognitive dysfunction in 3months after stroke is 1.915,the area under the ROC curve is 0.821(95%CI0.756~0.886,P<0.001),and its sensitivity is 75.5%,the specificity is 76%.Conclusion:TAR is an independent risk factor for the occurrence of post-stroke cognitive impairment in 3 months,and it has certain predictive value. |