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.
Intracranial electrographic recording, especially stereoencephalography (SEEG), remains the gold standard for preoperative localization in epilepsy patients. However, this method is invasive and has low spatial resolution. In 1982, magnetoencephalography (MEG) began to be used in epilepsy clinics. MEG is not affected by the skull and scalp, can provide signals with high temporal and spatial resolution, and can be used to determine the epiletogensis zone (EZ) and the seizure onset zone (SOZ). Magnetic source imaging (MSI) is a method that superimposes the MEG data on a magnetic resonance image (MRI) and has become a major tool for presurgical localization. The applicability of MEG data has been largely improved by the development of many post-MRI processing methods in the last 20 years. In terms of the sensitivity of localization, MEG is superior to VEEG, MRI, PET and SPECT, despite inferiority to SEEG. MEG can also assist in the intracranial placement of electrodes and improve preoperative planning. Limitations of MEG include high cost, insensitivity to radiation source, and difficulty in locating deep EZ in the medial regions of the brain. These limitations could be overcome by new generations of equipment and improvement of algorithmics.
Objective
To explore the efficacy of low to moderate doses of levetiracetam in adult patients with newly diagnosed partial epilepsy and possible predictors for poor treatment response.
Methods
We retrospectively analyzed the clinical data of patients treated in West China Hospital from March 2011 to December 2015 whose clinical data were input into the Epilepsy database. Patients with newly diagnosed partial epilepsy and whose initial anti-epileptic drug was levetiracetam were screened out for this study. Their clinical data, especially responses to the treatment of levetiracetam were reviewed.
Results
Ninety-six patients were included in this study. Seventy-one of them achieved seizure-free for a complete year after initial treatment of levetiracetam. Forty-eight patients (50.0%) achieved seizure-free with levetiracetam monotherapy; 23 patients (24.0%) achieved seizure-free for one year with levetiracetam combination therapy. Sixty-nine (97.2%) of the 71 patients achieved seizure-free with low to moderate doses of levetiracetam (500 to 1 500 mg/day), with or without combination of other antiepileptic drugs. High baseline seizure frequency before initial therapy was an independent predictor of poor levetiracetam response in this multivariate logistic regression mode (P=0.019).
Conclusions
Low to moderate levetiracetam is both effective and well tolerated in newly diagnosed partial epilepsy patients. High baseline seizure frequency before initial therapy is an independent predictor of poor levetiracetam response.
ObjectiveThis study aims to examine the possible association between C-reactive protein (CRP) concentration and post-stroke seizures.
MethodsPatients with a first-ever ischemic stroke and no history of epilepsy before stroke who admitted to Western China Hospital were consecutively enrolled in our study. CRP levels were assessed within one week of stroke onset. After a mean follow-up period of 2.5 years, a follow-up assessment was performed to identify post-stroke epilepsy. Logistic regression and Cox regression analyses were used to assess the relationship between CRP levels and post-stroke early-onset seizures or post-stroke epilepsy.
ResultsAmong the 1, 116 patients included in our study, 36 (3.2%) patients had post-stroke early-onset seizures and 65 (5.8%) patients had post-stroke epilepsy. Elevated CRP levels were associated with a higher risk of post-stroke early-onset seizures (51.4±49.2 vs 15.9±12.9, P=0.023). This correlation was persisted even after adjusting for potential confounders[OR=1.008, 95%CI (1.003, 1.018); P=0.003]. No association was observed between CRP levels and post-stroke epilepsy.
ConclusionsElevated CRP levels may be associated with higher risk of post-stroke seizures. However, because of the observational nature of the study, more studies are needed to confirm the results.
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.
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.
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.
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.
ObjectiveTo analyse the seizure semeiology of MRI negative insular epilepsy.MethodsA case of patient with insular epilepsy who presented in Epileptic Center, Guangdong 999 Brain Hospital was collected. Related literatures were thoroughly reviewed.ResultsThe patient was diagnosised as insular epilepsy by SEEG and postoperative pathology reported focal cortical dysplasia Ib.ConclusionsThe insula lobe is a part of the limbic system, and the seizure semeiology in insular epilepsy is varied. Seizure semeiology analysis is particularly important in the evaluation of presurgical especially in a MRI negative case. In this paper, we summarized the semeiology characteristics of various parts of insula lobe, and provided some references for the diagnosis and treatment of insular epilepsy.
ObjectiveTo preliminarily explore the damage effect of stereo electroencephalogram-guided radiofrequency thermocoagulation after increasing the number of electrodes in the epileptic foci.MethodsEight cases were included from 42 patients requiring SEEG from the Department of Neurosurgery of the Second Hospital of Lanzhou University during June 2017 to Jan. 2019, of which 6 cases were hypothetical epileptogenic foci located in the functional area or deep in the epileptogenic foci that could not be surgically removed, 2 patients who were unwilling to undergo craniotomy; added hypothetical epileptic foci Electrodes, the number of implanted electrodes exceeds the number of electrodes needed to locate the epileptic foci. After radiofrequency thermocoagulation damages the epileptogenic foci, the therapeutic effect is analyzed.ResultsIn 8 patients, the number of implanted electrodes increased from 1 ~ 6, with an average of (4±2.2), and the number of thermosetting points increased by 2 ~ 10, with an average of (7±3.1); follow-up (9±3.2) months, Epilepsy control status: 3 cases of Engel Ⅰ, 3 cases of Engel Ⅱ, 2 cases of Engel Ⅲ; 8 cases of epileptic seizure frequency decreased≥50%. There was a statistically significant difference in the frequency of attacks before and after thermocoagulation (P<0.05).ConclusionsIncreasing the lesion volume of the epileptic foci can obviously improve the efficacy of epilepsy. SEEG-guided radiofrequency thermocoagulation is an effective supplementary method for classical resection.
