Purpose: Patients with a first unprovoked epileptic seizure are often seen in emergency services. Electroencephalography (EEG) is indicated for diagnosing epilepsy, but the optimal time to perform this test has not been defined. This study aimed to determine the time interval following a seizure within which EEG has the greatest diagnostic yield.
Methods: We conducted a retrospective study of all adult patients with a first unprovoked seizure who had undergone emergency EEG (July 2014-December 2019). Data collection included demographics, seizure type, time interval to EEG study, EEG pattern identified, and the prescription after emergency assessment. An optimal cut-off point for time to EEG was obtained, and an adjusted regression model was performed to establish associations with the presence of epileptiform abnormalities.
Results: A total of 170 patients were included (mean age: 50.7 years, 40.6% women). Epileptiform discharges were identified in 34.1% of recordings, nonepileptiform abnormalities in 46.5%, and normal findings in 19.4%. A lower latency from seizure to EEG was associated with a higher probability of finding epileptiform discharges (median: 12.7 in the epileptiform EEGs vs. 20 h in the nonepileptiform EEGs, p < 0.001). The time interval associated with the highest probability of detecting an epileptiform EEG pattern was within the first 16 h after seizure onset: 52.1% of recordings performed before the 16-h cut-off showed these abnormal patterns compared with 20.2% performed after (p < 0.001). These findings were not related to the presence of an epileptogenic lesion in neuroimaging or to other clinical variables. The finding of epileptiform abnormalities was followed by a greater prescription of antiseizure drugs (96.4% vs. 66% in nonepileptiform patterns, p < 0.001).
Conclusion: The diagnostic yield of EEG following a first unprovoked epileptic seizure is highest when this test is performed within the first 16 h after onset of the event.
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http://dx.doi.org/10.1016/j.yebeh.2020.107315 | DOI Listing |
Pediatr Qual Saf
January 2025
From the Department of Pediatrics Division of Pediatric Emergency Medicine, Nemours Children's Health, Wilmington, Del.
Introduction: Pediatric seizures account for approximately 1% of emergency department (ED) presentations. Laboratory evaluation and emergent electroencephalogram (EEG) are not indicated in patients with a new-onset, unprovoked, afebrile seizure with a normal physical examination. This study aimed to reduce unnecessary ED resource utilization.
View Article and Find Full Text PDFeNeuro
January 2025
Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Epilepsy, a neurological disorder characterized by recurrent unprovoked seizures, significantly impacts patient quality of life. Current classification methods focus primarily on clinical observations and electroencephalography (EEG) analysis, often overlooking the underlying dynamics driving seizures. This study uses surface EEG data to identify seizure transitions using a dynamical systems-based framework-the taxonomy of seizure dynamotypes-previously examined only in invasive data.
View Article and Find Full Text PDFIn Vivo
December 2024
Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania.
Background/aim: The incidence and characteristics of pediatric thrombotic events have become increasingly recognized, due to the enhanced utilization of advanced diagnostic techniques. Pediatric thrombosis remains less frequent than in adults, often manifesting in those with underlying congenital or acquired risk factors. This study aimed to establish epidemiological data on pediatric thrombotic events in Bihor County, Romania, highlighting the challenges of diagnosis in smaller medical centers and proposing a relevant diagnostic and treatment algorithm.
View Article and Find Full Text PDFFront Psychol
December 2024
Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
Introduction: Inappropriate reactive (provoked) aggression is common in various psychiatric disorders, including Borderline Personality Disorder (BPD) and, to a lesser extent, Major Depressive Disorder (MDD). Less is known about proactive (unprovoked) aggression in these patients, with mixed findings in the literature. Drawing from the current evidence, we expect higher trait aggression in both patient groups and higher behavioral proactive aggression and physiological arousal in patients with BPD compared to both MDD and healthy participants (HC).
View Article and Find Full Text PDFJ Epilepsy Res
December 2024
Department of Neurology, Erenkoy Mental Health and Neurological Diseases Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Background And Purpose: Alzheimer's disease (AD) and epileptic seizure are among the most common health problems in the elderly population. This study aimed to estimate the prevalence rate and predictors of seizures in sporadic AD patients.
Methods: The study was conducted by retrospectively for a period of 10 years examining the file records.
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