Objective: To determine whether acute sleep deprivation facilitates seizures during inpatient monitoring in a controlled protocol.
Methods: Eighty-four patients with medically refractory partial epilepsy undergoing inpatient monitoring were assigned in consecutive blocks to either sleep deprivation every other night or to normal sleep. In both groups, subjects were requested to stay awake during the day, from 6 AM to 10 PM. In the sleep deprivation group, patients also stayed awake between 10 PM and 6 AM every other night beginning with Day 2. Patients were removed from sleep deprivation if they had two or more secondarily generalized seizures within 24 hours. Patients were removed from the normal sleep group and were sleep deprived if they did not have a complex partial or secondarily generalized seizure by Day 6 of monitoring. In these patients removed from sleep deprivation or from normal sleep, data were analyzed up to and including the day of removal from the protocol.
Results: The sleep deprivation and normal sleep subjects did not differ in age, sex, seizure localization, or percent dosage reduction in antiepileptic drugs from baseline at days 1 to 3 of monitoring. Protocol duration was 6.5 +/- 2.4 days (mean +/- SD) for the sleep deprivation group and 5.8 +/- 2.0 days for the normal sleep group. Seizures per day for complex partial, secondarily generalized, and combined complex partial and secondarily generalized, calculated from admission until end of protocol, did not differ significantly between the two groups.
Conclusion: Acute sleep deprivation did not affect seizure frequency during inpatient monitoring in our patients with intractable complex partial seizures with secondary generalization.
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http://dx.doi.org/10.1212/01.wnl.0000031810.15811.9e | DOI Listing |
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Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
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January 2025
Department of Military and Emergency Medicine, Uniformed Services University, Bethesda, MD 20814, USA.
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January 2025
Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Erciyes University, Kayseri, Turkey.
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Insomnia is increasingly common and poses significant health risks. The aims of this study are to identify apoptosis-related genes and potential biomarkers for insomnia and to find new therapeutic targets. Insomnia gene expression profiles were downloaded from the Gene Expression Omnibus database, and differentially expressed genes in normal and insomnia samples were identified by limma rapid differential analysis, and then the major modular genes with clinical relevance to insomnia were analyzed using the Weighted Gene Co-Expression Network Analysis, and intersections were obtained with the differentially expressed genes as well as with apoptotic gene databases.
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