scholarly journals Genetic factors and the risk of drug-resistant epilepsy in young children with epilepsy and neurodevelopment disability

Medicine ◽  
2021 ◽  
Vol 100 (12) ◽  
pp. e25277
Author(s):  
Chien-Hen Lin ◽  
I-Ching Chou ◽  
Syuan-Yu Hong
Keyword(s):  
Young Children ◽  
Genetic Factors ◽  
Drug Resistant ◽  
Drug Resistant Epilepsy

Developmental outcome after corpus callosotomy for infants and young children with drug-resistant epilepsy

2021 ◽  
Vol 117 ◽  
pp. 107799
Author(s):  
Ryoko Honda ◽  
Hiroshi Baba ◽  
Kohei Adachi ◽  
Rika Koshimoto ◽  
Tomonori Ono ◽  
...  
Keyword(s):  
Young Children ◽  
Developmental Outcome ◽  
Drug Resistant ◽  
Corpus Callosotomy ◽  
Drug Resistant Epilepsy ◽  
Infants And Young Children

scholarly journals The efficacy of perampanel in young children with drug-resistant epilepsy

Seizure ◽  
2020 ◽  
Vol 75 ◽  
pp. 82-86
Author(s):  
Fu-Man Chang ◽  
Pi-Chaun Fan ◽  
Wen-Chin Weng ◽  
Chin-Hao Chang ◽  
Wang-Tso Lee
Keyword(s):  
Young Children ◽  
Drug Resistant ◽  
Drug Resistant Epilepsy

scholarly journals Genetic factors and the risk of drug-resistant epilepsy in young children with epilepsy and neurodevelopment disability: A Prospective Study and Updated Meta-Analysis

2020 ◽  
Author(s):  
Chien-Hen Lin ◽  
I-Ching Chou ◽  
Syuan-Yu Hong
Keyword(s):  
Risk Factors ◽  
Genetic Factors ◽  
Meta Analysis ◽  
Genetic Defect ◽  
Genetic Group ◽  
Seizure Outcome ◽  
Drug Resistant ◽  
Pooled Prevalence ◽  
Drug Resistant Epilepsy ◽  
A Prospective Study

Abstract Background Drug-resistant epilepsy (DRE) affects 7–20% of children with epilepsy. Although some risk factors for DRE have been identified, the results have not been consistent. Moreover, data regarding the risk factors for epilepsy and its seizure outcome in the first 2 years of life are limited. Methods We analyzed data for children aged 0–2 years with epilepsy and neurodevelopmental disability (NDD) from January, 2013, through December, 2017. These patients were followed up to compared the risk of DRE in patients with genetic defect (genetic group) with that without genetic defect (nongenetic group). Additionally, we conducted a meta-analysis to identify the pooled prevalence of genetic factors in children with DRE Results A total of 96 patients were enrolled. A total of 68 patients were enrolled in the nongenetic group, whereas 28 patients were enrolled in the genetic group. The overall DRE risk in the genetic group was 6.5 times (95% confidence interval [CI], 2.15–19.6; p = 0.03) higher than that in the nongenetic group. Separately, a total of 1308 DRE patients were participated in the meta-analysis. The pooled prevalence of these patients with genetic factors was 22.8% (95% CI 17.4–29.3) Conclusions The genetic defect plays a crucial role in the development of DRE in younger children with epilepsy and NDD. The results can serve as a reference for further studies of epilepsy panel design and may also assist in the development of improved treatments and prevention strategies for DRE.

A RARE CASE OF DRUG-RESISTANT EPILEPSY ASSOCIATED WITH CORTICAL MICRODYSGENESIS

2018 ◽  
Vol 26 (2) ◽  
pp. 13-18
Author(s):  
Yu.M. Zabrodskaya ◽  
◽  
D.A. Sitovskaya ◽  
S.M. Malyshev ◽  
T.V. Sokolova ◽  
...  
Keyword(s):  
Rare Case ◽  
Drug Resistant ◽  
Drug Resistant Epilepsy

Increased frequency of proinflammatory CD4 T cells and pathological levels of serum neurofilament light chain in adult drug‐resistant epilepsy

Epilepsia ◽  
2020 ◽  
Author(s):  
Oumarou Ouédraogo ◽  
Rose‐Marie Rébillard ◽  
Hélène Jamann ◽  
Victoria Hannah Mamane ◽  
Marie‐Laure Clénet ◽  
...  
Keyword(s):  
T Cells ◽  
Light Chain ◽  
Cd4 T Cells ◽  
Drug Resistant ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Drug Resistant Epilepsy

scholarly journals Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriana Leal ◽  
Mauro F. Pinto ◽  
Fábio Lopes ◽  
Anna M. Bianchi ◽  
Jorge Henriques ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Linear Time ◽  
Epileptic Seizures ◽  
Heart Rate Variability Analysis ◽  
Drug Resistant ◽  
Clustering Methods ◽  
Temporal Lobe Seizures ◽  
New Perspective ◽  
Drug Resistant Epilepsy

AbstractElectrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure’s clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same patient. In this study, we performed a heart rate variability (HRV) analysis to investigate the discriminative power of the features of HRV in the identification of the preictal interval. HRV information extracted from the linear time and frequency domains as well as from nonlinear dynamics were analysed. We inspected data from 238 temporal lobe seizures recorded from 41 patients with drug-resistant epilepsy from the EPILEPSIAE database. Unsupervised methods were applied to the HRV feature dataset, thus leading to a new perspective in preictal interval characterization. Distinguishable preictal behaviour was exhibited by 41% of the seizures and 90% of the patients. Half of the preictal intervals were identified in the 40 min before seizure onset. The results demonstrate the potential of applying clustering methods to HRV features to deepen the current understanding of the preictal state.

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