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Application Of Prognostic Judgment Of Electroencephalograph Grading Standards In Anti-NMDAR Encephalitis

Posted on:2024-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:N LiFull Text:PDF
GTID:2544307148975009Subject:Neurology
Abstract/Summary:PDF Full Text Request
Objective:To explore the application of four commonly used clinical electroencephalograph(EEG)grading standards in the prognosis judgment of anti-NMDAR encephalitis,to select the electroencephalograph grading standards with the highest prognostic predictive value,and to study the role of such grading standard in the disease assessment and its correlation with auxiliary examination and test results.Methods:50 patients diagnosed with anti-NMDAR encephalitis in our hospital from January2014 to September 2022 were retrospectively analyzed.Patients were graded on the first EEG after admission according to four standards(ECBER,Synek,Young and Lavizzari).The prognosis of patients was evaluated according to m RS Score at discharge,and m RS Score 0-2 was defined as a good prognosis.The correlation between the four different EEG grading standard and prognosis was compared,and the EEG grading standard with the highest prognostic predictive efficacy was selected to study its correlation with the severity of disease,ancillary tests and test results.Results:The correlation between EEG standards and prognosis showed that the EEG standards of ECBER,Synek,and lavizzari had a positive correlation with prognosis(P < 0.05).The higher the EEG grade,the worse the prognosis.According to the predictive efficacy analysis,the Lavizzari standard grade had the highest prognostic predictive efficacy(AUC value of 0.856,sensitivity of 83.33%,specificity of 76.32%,P<0.001).The higher the Lavizzari standard grade,the longer the hospital and intensive care unit stay,the greater the number of symptoms and complications,and the more severe the patient’s condition(P <0.05),but not with cerebrospinal fluid antibody titers and cranial MRI abnormalities.Conclusion:The proportion of EEG abnormalities in patients with anti-NMDAR encephalitis was higher.The Lavizzari EEG grading standard has a good predictive value for the early disease assessment and prognosis of patients with anti-NMDAR encephalitis.
Keywords/Search Tags:Anti-NMDAR encephalitis, Electroencephalogram, Grading standard, Prognostic prediction, Disease assessment
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