Objective: To examine the prevalence and risk factors of sleep-disordered breathing (SDB) in individuals with epilepsy and psychogenic nonepileptic seizures (PNES).
Methods: We conducted a cross-sectional study of consecutive patients admitted for inpatient video-EEG monitoring at The Royal Melbourne Hospital, Australia, between December 1, 2011, and July 31, 2017. Participants underwent routine clinical investigations during their monitoring period including polysomnography, neurocognitive testing, and screening instruments of daytime somnolence, sleep quality, and quality of life.
Results: Our study population consisted of 370 participants who received a diagnosis of epilepsy (n = 255), PNES (n = 93), or both disorders (n = 22). Moderate to severe SDB (defined by an apnea-hypopnea index ≥15) was observed in 26.5% (98/370) of individuals, and did not differ across subgroups: epilepsy 26.3% (67/255), PNES 29.0% (27/93), or both disorders 18.2% (4/22; = 0.610). Following adjustment for confounders, pathologic daytime sleepiness predicted moderate to severe SDB in epilepsy (odds ratio [OR] 10.35, 95% confidence interval [CI] 2.09-51.39; = 0.004). In multivariable analysis, independent predictors for moderate to severe SDB in epilepsy were older age (OR 1.07, 95% CI 1.04-1.10; < 0.001) and higher body mass index (OR 1.06, 95% CI 1.01-1.11; = 0.029), and in PNES older age (OR 1.10, 95% CI 1.03-1.16; = 0.002).
Conclusion: Polysomnography during inpatient video-EEG monitoring identified a substantial number of patients with undiagnosed SDB. This was remarkable in the subgroup with PNES, who were often female and obese. Identification of risk factors may improve management of SDB in these populations. The association with pathologic daytime sleepiness suggests that SDB may be an important contributor to these common and disabling symptoms in patients with epilepsy.
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http://dx.doi.org/10.1212/WNL.0000000000006776 | DOI Listing |
Epilepsy 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.
Epilepsia
January 2025
Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Objective: This study was undertaken to determine whether admission to dedicated seizure monitoring units (SMUs) result in reduced health care use (HCU).
Methods: This was a retrospective open cohort study covering the years 2010-2018 of patients residing in Alberta, Canada, who were referred to the Calgary Comprehensive Epilepsy Program and admitted to a level 4 SMU. Patients were required to have ≥3 years pre- and postadmission follow-up.
Epilepsy Behav Rep
October 2024
Bielefeld University, Medical School and University Medical Center OWL, Mara Hospital, Department of Epileptology, Maraweg 21, Bielefeld, Germany.
Epilepsia
December 2024
Department of Pediatrics, Section of Neurology and Developmental Neuroscience, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
Objective: To determine the optimal duration of electroencephalography (EEG) recording to detect epileptic spasms (ES) based on inpatient overnight video-EEG monitoring in patients with infantile epileptic spasms syndrome (IESS) at the 2-week follow-up.
Methods: Patients with IESS and overnight EEG monitoring between January 2020 and June 2022 were retrospectively reviewed. Time-to-ES, time-to-sleep and time-to-epileptic encephalopathy (EE) per the Burden of Amplitudes and Epileptiform Discharges (BASED 2021) score.
BMC Health Serv Res
August 2024
Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Background: Epilepsy and other seizure disorders account for a high disease burden in Germany. As a timely diagnosis and accurate treatment are crucial, improving the management of these disorders is important. Outside of Germany, outpatient long-term video EEGs (ALVEEGs) have demonstrated the potential to support the diagnosis and management of epilepsy and other seizure disorders.
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