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 investigate the clinical characteristics of epileptics with pregnancy and then provide reference for standardized management of epileptics with pregnancy. MethodsFrom June 2012 to June 2021, epileptics with pregnancy who delivered in Jinan Central Hospital were selected as the research subjects. The clinical data such as the application of Antiseizure medications (ASMs) during pregnancy, seizure frequency, pregnancy outcomes, delivery ways, offspring feeding ways and the incidence of complications were investigated and analyzed. ResultsAmong 36 epileptics with pregnancy, 20 cases (55.56%) were treated with ASMs alone, 5 cases (13.88%) were treated with combined medication, and 11 cases (30.56%) were treated without ASMs during pregnancy. 15 cases (41.67%) adhered to systematic application of ASMs, 17 cases (47.22%) did not adhere to systematic application of ASMs, and 4 cases (11.11%) had unknown medication history. The frequency of seizures increased in 5 cases, decreased in 7 cases and unchanged in 24 cases during pregnancy. Pregnancy outcomes: full-term delivery in 33 cases (91.67%), preterm delivery in 1 case (2.78%) and abortion in 2 cases (5.56%). Delivery mode: cesarean section in 31 cases (91.18%), vaginal delivery in 3 cases (8.82%). After delivery, 4 cases (11.76%) were fed with milk powder and 30 cases (88.24%) were breast-fed. Complications: There were 6 cases complicated with anemia (16.67%), 5 cases complicated with gestational hypertension (13.89%), 3 cases complicated with gestational diabetes (8.33%), 4 cases complicated with premature rupture of membranes (11.11%), 2 cases complicated with fetal growth restriction (5.56%), 2 cases complicated with oligohydramnios (5.56%), 3 cases complicated with fetal distress (8.33%) and 3 cases complicated with neonatal asphyxia (8.33%). ConclusionsThe proportion of epileptics with pregnancy who were systematically treated with ASMs was low and the seizures were poorly controlled. There is a lack of standardized management for such patients in clinical practice.
ObjectiveTo analyze the clinical data of 5 cases of congenital hyperinsulinemia with sizures as the initial symptoms. MethodsRisk factors in perinatal period, clinical manifestation, laboratory examination, treatment and follow-up visits of 5 cases of congenital hyperinsulinemia with sizures as the initial symptoms were analyzed retrospectively, who were admitted to Department of Neurology of Jiangxi Children's Hospital from July 2012 to August 2016. Results5 children were all male. The onset time varied from 3 to 9 mouths old. All the cases presented seizures as the main clinical manifestations, persistent hypoglycemia, hyperinsulinemia, low free fatty acid and hypoketonemia. During follow-up, treatment with diazoxide and dietary therapy was effective in 3 cases, pure dietary therapy ineffective in 2 cases. 3 cases manifested as acute symptomic seizures, 2 cases as remote symptomic epilepsy. During follow-up, 1 cases showed normal intelligence, 3 cases developmental delay, and 1 case dropout. ConclusionMost of the infants with congenital hyperinsulinemia presented seizures as initial symptoms. Severe hypoglycemia and long duration would damage brain, and early management may significantly improve the prognosis. The early diagnosis can be made by measuring fasting blood glucose, insulin, free fatty acid and, plasma β-hydroxybutyric acid, C peptide and so on. The majority of children were effective by diazoxide.