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.
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.
At present, there are few studies on patients with epilepsy (PWE) and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), and the results of many studies are inconsistent. SARS-CoV-2 may cause new seizures through a variety of mechanisms, and the susceptibility and mortality of PWE to SARS-CoV-2 remains controversial. During the SARS-CoV-2 pandemic, anxiety, depression and other psychological problems were common among epileptic patients. Clinicians providing telemedicine, telephone chat and video call can effectively reduce the risk of psychological disorders in PWE patients. At the same time, there are many interactions between antiepileptic drugs and various antiviral drugs, which should be carefully considered when using. Considering that the research results are few and many studies contradict each other, PWE and SARS-CoV-2 deserve further exploration in future studies.
ObjectiveConstructing a prediction model for seizures after stroke, and exploring the risk factors that lead to seizures after stroke. MethodsA retrospective analysis was conducted on 1 741 patients with stroke admitted to People's Hospital of Zhongjiang from July 2020 to September 2022 who met the inclusion and exclusion criteria. These patients were followed up for one year after the occurrence of stroke to observe whether they experienced seizures. Patient data such as gender, age, diagnosis, National Institute of Health Stroke Scale (NIHSS) score, Activity of daily living (ADL) score, laboratory tests, and imaging examination data were recorded. Taking the occurrence of seizures as the outcome, an analysis was conducted on the above data. The Least absolute shrinkage and selection operator (LASSO) regression analysis was used to screen predictive variables, and multivariate Logistic regression analysis was performed. Subsequently, the data were randomly divided into a training set and a validation set in a 7:3 ratio. Construct prediction model, calculate the C-index, draw nomogram, calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) to evaluate the model's performance and clinical application value. ResultsThrough LASSO regression, nine non-zero coefficient predictive variables were identified: NIHSS score, homocysteine (Hcy), aspartate aminotransferase (AST), platelet count, hyperuricemia, hyponatremia, frontal lobe lesions, temporal lobe lesions, and pons lesions. Multivariate logistic regression analysis revealed that NIHSS score, Hcy, hyperuricemia, hyponatremia, and pons lesions were positively correlated with seizures after stroke, while AST and platelet count were negatively correlated with seizures after stroke. A nomogram for predicting seizures after stroke was established. The C-index of the training set and validation set were 0.854 [95%CI (0.841, 0.947)] and 0.838 [95%CI (0.800, 0.988)], respectively. The areas under the ROC curves were 0.842 [95%CI (0.777, 0.899)] and 0.829 [95%CI (0.694, 0.936)] respectively. Conclusion These nine variables can be used to predict seizures after stroke, and they provide new insights into its risk factors.
ObjectiveTo determine the feasibility as well as the attitudes among caregivers of children and adolescents with epilepsy and adult patients with epilepsy in China towards the use of smart phone applications (apps) for the management of seizures. MethodsThe caregivers of children and adolescents with epilepsy, ages ranging from 0 to 17 years old and adult patients who were more than 18 years old, were enrolled in the study from the Epilepsy Prevention and Cure Center of West China Hospital within the time period from June to December 2015. A questionnaire gauging the attitudes towards using apps for seizure management was administered to the 502 epilepsy patients and 390 caregivers of children and adolescents with epilepsy. ResultsAmong adult patients, they were more likely to use an app in those who were young, lived in cities, had higher education, had a stable employment and had frequent seizures (P=0.002, P<0.001, P=0.001, P<0.001, P=0.01). Among caregivers of children and adolescents with epilepsy, participants were more likely to use an app in those who were male (P=0.03), had a higher education level, a higher annual household income as well as stable job (P<0.001, P<0.001, P=0.02). ConclusionThe results of this study imply a favorable attitude towards the use of apps for seizure management among adult patients and caregivers of children and adolescents with epilepsy. The use of such apps in China represents a promising strategy among caregivers for seizure management.
ObjectiveTo investigate characteristics of motor semiology of epileptic seizure originated from dorsolateral frontal lobe. MethodsRetrospectively analysis the clinical profiles of patients who were diagnosed dorsolateral frontal lobe epilepsy (FLE) based on stereoelectroencephalography (SEEG) and underwent respective surgeries subsequently. Component of motor semiology in a seizure can be divided into elementary motor (EM, include tonic, versive, clonic, and myoclonic seizures) and complex motor (CM, include automotor, hypermotor, and so on). A Talairach coordinate system was constructed in the sagittal series of MRI images in each case. From the cross point of VAC and the Sylvian Fissure, a line was drawn antero-superiorly, which made an angle of 60° with the AC-PC line, then the frontal lobe could be divided into anterior and posterior portion. The epileptogenic zone, which was defined as ictal onset and early spreading zone in SEEG, was classified into three types, according to the positional relationship of the responding electrodes contacts and the "60° line": the anterior, posterior, and intermediate FLE. The correlation of the components of motor semiology in seizures and the location of the epileptogenic zone was analyzed. ResultsFive cases (26.3%) were verified as anterior FLE, among which there were 2 of EM, one of CM, and 2 of EM+CM. In 7 cases (36.8%) of intermediate FLE, there were one of EM, none of CM, and 6 of EM+CM. In the rest 7 cases of posterior FLE, there were 6 of EM, none of CM, and one of EM+CM. Compared with the cases that the epileptogenic zone involved anterior portion, the posterior FLE is more likely to present EM seizures (85.7%), and less likely to show CM components (P < 0.05). And Compared with the anterior FLE and posterior FLE, the intermediate FLE is more likely to present EM+CM seizures (85.7%)(P < 0.05). ConclusionThe motor seizure semiology of dorsolateral FLE has significant correlation with the localization of the epileptogenic zone. Posterior FLE mainly present a pure elementary motor seizure, and once the epileptogenic zone involved anteriorly beyond the "60° line", the component of complex motor seizure would be seen. Intermediate FLE, as its specialty of transboundary, is more likely to show "comprised semiology" of EM and CM. Construction of the "60° line" with AC-PC coordinate system in the MRI images may play an useful role in semiology analysis in presurgical evaluation of FLE.
ObjectiveTo retrospectively study the acute epileptic seizures of patients with anti-N-methyl-D-aspartate receptor (anti-NMDAR)and anti-leucine-rich glioma-inactivated 1(anti-LGI1)encephalitis. The characteristics and short-term prognosis provide reference for early clinical diagnosis and treatment.MethodsThe patients with anti-NMDAR and anti-LGI1 encephalitis who were admitted to the Department of Neurology of Sichuan Provincial People’s Hospital from January 2018 to June 2020 were continuously included. The general information, clinical manifestations, acute seizures and types of seizures were reviewed and analyzed.To evaluate the difference between the characteristics of two kinds of autoimmune encephalitis in the acute phase of seizures and the short-term prognosis.ResultsA total of 75 patients with anti-NMDAR encephalitis and anti-LGI1 encephalitis (41 males and 34 females) were included, of which average ages are(32.8±17.9)years, average courses are(1.8±1.1)months.59 and 16 are respectively positive for anti-NMDAR and anti-LGI1 antibodies, respectively. Of the 75 cases, 56 cases (74.7%) had seizures in the acute phase. Among the 56 cases of seizures, 38 cases (67.8%) were accompanied by disturbances of consciousness, 5 cases (8.9%) of autonomic dysfunction, and 24 cases of decreased oxygenation capacity. (42.9%) and 20 cases (35.7%) who were admitted to NICU, there was a significant statistical difference compared with the seizure-free group (P<0.05). The median age of anti-NMDAR encephalitis in the acute stage of seizures was 23 years, and that of anti-LGI1 encephalitis was 56.5 years (P<0.05). Anti-NMDAR encephalitis and anti-LGI1 encephalitis are common in the acute phase of epileptic seizures (55.9%vs.53.8%). Anti-NMDAR encephalitis has more frequent seizures and status epilepticus in the acute phase (P<0.05). After early and rational use of anti-epileptic drugs(AEDs) and immunotherapy and other symptomatic and supportive treatments, 70% of 56 patients were effectively controlled for seizure. Follow-up 3 months later, 18 patients (32.1%) stopped using anti-epileptic drugs (AEDs), While 30 patients (53.5%) continued to receive AEDs treatment, of which 25 patients (44.6%) had no seizures.ConclusionBoth anti-NMDAR encephalitis and anti-LGI1 encephalitis have a higher risk of seizures in the acute phase. Patients with seizures are more likely to have disturbances in consciousness, decreased oxygenation capacity, and higher rates of admission to NICU. Anti-NMDAR encephalitis is more common in young people around 30 years old, and anti-LGI1 encephalitis is more likely to develop around 60 years old. Patients with anti-NMDAR encephalitis are more likely to have abnormal electroencephalograms, have a longer average hospital stay, and are more likely to have recurrent seizures and status epilepticus in the acute phase. After timely diagnosis and intervention treatment, most patients' seizures can be well controlled. After the acute phase, AEDs can be withdrawed in one third of patients.
ObjectiveWe report a special case to explain seizure semiology and epileptogenic network of seizure arising from ventral motor cortex, and to explore Focal cortical dycplasia (FCD) features on MR of epileptic patients with DEPDC5 mutation.MethodsA drug-resistant focal epilepsy patient with DEPDC5 mutation was underwent a detailed presurgical evaluation. The epileptogenic area(EA) was localized with SEEG and removed later by surgery. Related literatures were thoroughly reviewed.ResultsSubtle FCD of ventral branch of inferior precentral sulcus(IPv) on MR(1.5T) was noticed. With SEEG recording, seizure onset zone was detected on IPv with the probable lesion, early spreading to anterior insula, central operculum and ventral precentral gyrus. According to the architectures of ventral motor trend, seizure semiology with evolution from contralateral dystonia to ipsilateral chorea movement could be better comprehended. Seizure was controlled after totally resection on the sites of IPv, anterior insula, and central operculum. Pathological change was FCD type I. Other literatures reported that DEPDC5 mutation related FCD may be located in motor system, and seizure onset could also be in anterior insula cortex besides motor cortex in other SEEG cases.ConclusionsEarly contralateral dystonia and chorea movement could be definite figures of seizure arising from inferior precentral sulcus; DEPDC5 mutation maybe a clue to find subtle FCD in motor cortex.
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 analyze the clinical characteristics and corresponding genetic features of epilepsy related to fever sensitivity. MethodsRetrospectively review 29 children with epilepsy related to fever sensitivity who were diagnosed and treated in the Department of Pediatric Neurology of the Third Affiliated Hospital of Zhengzhou University from January 2017 to December 2022, with complete clinical data and underwent molecular genetic testing. Fill in the clinical data registration form in detail, and retrospectively summarize their clinical characteristics, electroencephalogram (EEG) manifestations, neuroimaging examinations, the selection of antiepileptic drugs, curative effects, and evaluate and follow up the developmental indicators. ResultsAmong the 29 children with epilepsy related to fever sensitivity, there were 13 males (44.8%) and 16 females (55.2%); 10 cases (34.5%) were Dravet syndrome, 3 cases (10.3%) were genetic epilepsy with febrile seizures plus (GEFS+), and 1 case (3.4%) was PCDH19 gene-related epilepsy. The age of onset ranged from 2 to 25 months. Among them, 19 cases (65.5%) had an onset age of 2 to 12 months, and 10 cases (34.5%) had an onset age greater than 12 months. In 1 case of GEFS+ child, all seizures occurred after fever, and in the other 28 children, afebrile seizures were present. The interval between the first febrile seizure and the appearance of afebrile seizures was 0.09 to 116 months; the age of appearance of afebrile seizures was 5 to 134 months. There were 6 cases (20.7%) with a single seizure type, and 23 cases (79.3%) with 2 or more seizure types. There were 24 cases (82.8%) with generalized tonic-clonic seizures, 9 cases (31.0%) with generalized tonic seizures, 18 cases (62.1%) with focal seizures, 4 cases (13.8%) with absence seizures, and 1 case (3.4%) with spasm seizures. 10 cases (34.5%) of children had status epilepticus, and 13 cases (44.8%) had cluster seizures. 16 cases (55.2%) of children had a positive family history, among which 8 cases (27.6%) had a family history of febrile seizures, and 11 cases (37.9%) had a family history of afebrile seizures/epilepsy; during the initial visit and follow-up, 22 cases (75.9%) were found to have developmental delays of varying degrees. Pathogenic/suspected pathogenic gene variants/copy number variants clearly related to epilepsy were detected in 20 cases, with a detection rate of 68.9%, including SCN1A gene variants (11 cases), GABRB2 gene variants (1 case), GABRG2 gene variants (1 case), PCDH19 gene variants (1 case), SPTBN1 gene variants (c.1081_c.1097delAACTTGGAAGTGCTGCTinsCA, 1 case), ASNS gene variants (c.146G>A, 1 case), copy number variants in the 4p16.3 region (3 cases), and copy number variants in the 16p11.2 region (1 case). Among them, the gene variants of SPTBN1 and ASNS are novel gene variants that have not been previously reported in China for epilepsy related to fever sensitivity. ConclusionEpilepsy related to fever sensitivity mostly occurs in infancy, with diverse seizure patterns, varying degrees of severity of clinical symptoms, often accompanied by status epilepticus and cluster seizures, and mostly combined with developmental delays of varying degrees. This study found that the gene variants of SPTBN1 and ASNS, which have not been previously reported in China, may be rare pathogenic genes for epilepsy related to fever sensitivity.