ObjectiveThe purpose of this study was to investigate the autoimmune encephalitis (AE) seizure types and EEG characteristics and the value of diagnosis. MethodsFifteen AE patients were hospitalized in the Department of Neurology at the First Hospital of Jilin University from November 2012 to July 2014. Data from their clinical manifestations, seizure types, EEG characteristics and laboratory investigation were analyzed. ResultA total of 15 patients, 5 males and 10 females, aged 19-75 years were included. Eight cases of anti-NMDA receptor encephalitis, five cases of LGI1 receptor encephalitis and two cases of anti-Hu antibody encephalitis were diagnosed clinically.①Anti-NMDA receptor encephalitis:seven patients had seizures, which inclued complex partial seizure, generalized tonic-clonic seizure, simple partial seizure and status epilepticus.Three patients had extreme delta brush.②LGI1 receptor encephalitis:two cases had seizures, while four cases with FBDS. Sharp and slow waves with irregular delta waves appeared in bilateral temporal areas in EEG of three cases, while one case showed clinical seizure. Two cases detected "limb shaking and others" attack, but the corresponding EEG showed no abnormalities.③Anti-Hu antibody encephalitis:one case showed seizures, the EEG showed a lot of sharp and slow waves with irregular delta waves in bilateral temporal areas, while one case showed sharp and slow waves. ConclusionAnti-NMDA receptor encephalitis can present with various types of seizures and non-convulsive status epilepticus, interictal extreme delta brush is more specific. It has important value. LGI1 receptor encephalitis is characterized by FBDS, it has important clinical significance.Anti-Hu antibody encephalitis lesions diffuse distribution, clinical manifestations are different. It may be associated with seizures, seizure types are not-specific.It may have slow waves or sharp and slow waves.
ObjectiveTo explore changes on Electroencephalograph (EEG) and Evoked Potential (EP) changes in autoimmune encephalitis.MethodsEight cases with autoimmune encephalitis from Sichuan people's hospital during July 18th 2014 to July 18th 2016 were recruited. The inclusion criteria included:① The blood and cerebral spinal fluid (CSF) of patients were sent to Neurology Lab of Peking Union Medical College Hospital for autoimmunerelated antibody analysis and confirmed as autoimmune encephalitis.2 Patient had done at least 2 or more times of routine EEG or video EEG (VEEG). 1 or more times of auditory brainstem response (ABR), Visual evoked potential (VEP) and Somatosensory evoked potential (SEP) for both upper and lower limbs. 3 Patients had classical clinical manifestation of autoimmune encephalitis as abnormal psychomotor behaviors, seizures, memory loss, fever, headache, and even disturbance of consciousness or decreased ventilate function.ResulstOf 8 patients in this study, 5 were anti NMDA-R encephalitis, 2 were anti GABABR encephalitis, and 1 was positive for both antibodies. The EEG profile of 5 anti NMDA-R encephalitis:2 of them had β wave in early stage (about 10th day) and δ wave with fast wave even appeared as δ brush in middle stage (about 20th day). They all had severe symptoms and long hospitalization but negative MRI. Another 2 of them could be seen sparsely distributed sharp wave and sharp-slow wave in their EEG. Their EEG gradually turned to normal when their symptoms gradually disappeared. The last one had normal EEG during the whole disease course. The EEG profile of anti GABAB-R encephalitis as following. 1 was dominant by slow wave and EEG went normal after effective treatment and the other showed generalized α wave especially α wave in frontal region. The latter patient withdraw treatment. For the only 1 both antibodies positive patient, EEG showed slow wave and it turned to normal when symptoms disappeared. EP showed some abnormalities with wave amplitude and latency changes in some patients.EP (SEP、VEP) turned to normal when symptoms disappeared.ConclusionThe EEG present differently in different types of autoimmune encephalitis and change with stages of disease. EEG may be used as an indicator for prognosis as well. When EEG shows fast wave with the history of patient points to encephalitis, blood and CSF antibodies for NMDA-R should be checked routinely. Generalized α wave on EEG should also be an indicator for checking GABAB-R. More researches should be done for EP changes in autoimmune encephalitis for our study was based on a small patient number.
ObjectiveTo analyze the risk factors for seizures in patients with autoimmune encephalitis (AE) and to assess their predictive value for seizures. MethodsSeventy-four patients with AE from the First Affiliated Hospital of Xinjiang Medical University from January 2016 to March 2023 were collected and divided into seizure group (56 cases) and non-seizure group (18 cases), comparing the general clinical information, laboratory tests and imaging examinations and other related data of the two groups. The risk factors for seizures in AE patients were analyzed by multifactorial logistic regression, and their predictive value was assessed by receiver operating characteristic (ROC) curves. ResultsThe seizure group had a higher proportion of acute onset conditions in the underlying demographics compared with the non-seizure group (P<0.05). Laboratory data showed statistically significant differences in neutrophil count, calcitoninogen, lactate dehydrogenase, C-reactive protein, homocysteine, and interleukin-6 compared between the two groups (all P<0.05). Multi-factor logistic regression analysis of the above differential indicators showed that increased C-reactive protein [Odds ratio (OR)=4.621, 95% CI (1.123, 19.011), P=0.034], high homocysteine [OR=12.309, 95CI (2.217, 68.340), P=0.004] and onset of disease [OR=4.918, 95% CI (1.254, 19.228), P=0.022] were risk factors for seizures in AE patients, and the area under the ROC curve for the combination of the three indicators to predict seizures in AE patients was 0.856 [95% CI (0.746, 0.966)], with a sensitivity of 73.2% and a specificity of 83.3%. ConclusionHigh C-reactive protein, high homocysteine and acute onset are independent risk factors for seizures in patients with AE, and the combination of the three indices can better predict seizure status in patients.
Patients with autoimmune encephalitis are mainly characterized by behavioral, mental and motor abnormalities, neurological dysfunction, memory deficits and seizures. Different antibody types of autoimmune encephalitis its pathogenesis, clinical characteristics are different, in recent years found immune related epilepsy is closely related to autoimmune encephalitis, based on autoimmune encephalitis type is more, we choose more common autoimmune encephalitis, expounds its characteristics, to help clinical diagnosis.