Purpose: Most people with epilepsy who die suddenly and whose death is attributed to sudden unexpected death in epilepsy (SUDEP) are found in or by the bed for unknown reasons. We assessed whether those with sleep-related SUDEP were more likely to have nocturnal seizures, and whether seizure patterns (diurnal vs. nocturnal) differed from people dying suddenly and living controls with epilepsy.
Methods: Seizure patterns in a cohort of 154 people with epilepsy who died suddenly and after autopsy conformed to the definition of SUDEP and 616 controls living with epilepsy were classified as having "exclusively diurnal" or "nocturnal seizures." Comparisons were made between the groups. SUDEP was classified as sleep-related or non-sleep-related based on eyewitness accounts and the circumstances surrounding death.
Key Findings: SUDEP was primarily a sleep-related (58%) and unwitnessed (86%) event. If sleep-related, SUDEP was more likely to be unwitnessed [odds ratio (OR) 4.4, 95% confidence interval (CI) 1.6-12]. Those with sleep-related SUDEP were more likely to have a history of nocturnal seizures than those who had non-sleep-related SUDEP (OR 3.6, 95% CI 1.4-9.4). Those who died were more likely to have a history of nocturnal seizures than living controls (OR 3.9, 95% CI 2.5-6.0). After correction for previously established SUDEP risk factors (Langan et al., 2005), the presence of nocturnal seizures remained significant (OR 2.6, 95% CI 1.3-5.0).
Significance: Nocturnal seizures seem to be an independent risk factor for SUDEP. These findings underscore the importance of preventive measures, which may include night supervision.
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http://dx.doi.org/10.1111/j.1528-1167.2011.03360.x | DOI Listing |
Health Sci Rep
January 2025
Department of Research The Medical Research Circle (MedReC) Goma Democratic Republic of the Congo.
Background And Aim: Epilepsy is a major neurological challenge, especially for pediatric populations. It profoundly impacts both developmental progress and quality of life in affected children. With the advent of artificial intelligence (AI), there's a growing interest in leveraging its capabilities to improve the diagnosis and management of pediatric epilepsy.
View Article and Find Full Text PDFHeliyon
January 2025
Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Kabanbay Batyr Ave 53, Astana, 010000, Kazakhstan.
Epilepsy is one of the most common neurological disorders affecting approximately 50 million people worldwide. It impacts people of all genders and ages, but evidence suggests a higher incidence rate in children and the elderly. Given that childhood epilepsy has the risk of causing developmental epileptic encephalopathy, which is associated with intellectual, behavioral, and/or motor disabilities, proper assessment of children with new-onset epilepsy at an early stage is essential to prevent threats affecting neurodevelopmental processes.
View Article and Find Full Text PDFEpilepsy Behav
December 2024
Department of Neurosurgery, Örebro University Hospital, Sweden; Department of Neurosurgery and Department of Biomedical and Clinical Sciences, Linköping University, Sweden; School of Medical Sciences, Faulty of Medicine and Health, Örebro University, Sweden.
Objective: The objective of this study was to evaluate the diagnostic yield and clinical utility of an automated AI video-based seizure detection device, Nelli®, (SDD) in pharmacoresistant epilepsy patients. The SDD captures and automatically classifies nocturnal motor behavior suggestive of epileptic seizures or non-epileptic motor behavior of potential clinical value.
Methods: Patients with focal epilepsy and pharmacoresistance referred for inpatient long-term video-EEG monitoring were prospectively recruited.
Epilepsy Res
November 2024
Department of Neurology, West China Hospital, Sichuan University, 37# Wai Nan Guo Xue Lane, Chengdu 610041, China. Electronic address:
Epilepsy Behav
November 2024
Academic Center for Epileptology Kempenhaeghe, Heeze, The Netherlands; Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Neurology, Ghent University Hospital, Ghent, Belgium.
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