Prevalence of sleep disturbances in people with epilepsy and the impact on quality of life: a survey in secondary care.

PURPOSE: Studies in adults with epilepsy, mainly in specialized epilepsy clinics, have shown that sleep disturbances were twice as prevalent in people with epilepsy as in healthy controls. Our aim was to determine the prevalence of sleep disturbances in people with epilepsy treated in district hospitals, as well as the impact of it on Quality of Life. METHOD: Adults with epilepsy, attending outpatient clinics in three district hospitals were invited to participate. Those who accepted (N = 122) provided their own controls matched for age and sex. Both groups completed four questionnaires (Groningen Sleep Quality Scale (GSQ), Medical Outcomes Study-Sleep scale (MOSS), Sleep Diagnosis List (SDL) and Epworth Sleepiness Scale) to measure their sleep over different periods and the 36-Item Short Form Health Survey (SF-36) to measure Quality of Life (QoL). The prevalence of sleep disturbances and scores on QoL were compared between both groups. RESULTS: Sleep quality, measured by the SDL, was in the pathological range 50% more often in the epilepsy group than in controls. This was confirmed by the MOSSINDEX and GSQ. People with epilepsy experienced excessive daytime sleepiness more often than controls. The lowest scores on nearly all domains of the SF-36 were seen in people with epilepsy and associated sleep disturbances. CONCLUSION: We confirmed the higher prevalence of sleep disturbances in people with epilepsy compared to controls as previously reported from specialized settings. The (co-morbid) sleep disturbances result in lower QoL scores, in both people with epilepsy and in controls, but more in people with epilepsy.

Automated video-based detection of nocturnal convulsive seizures in a residential care setting.

People with epilepsy need assistance and are at risk of sudden death when having convulsive seizures (CS). Automated real-time seizure detection systems can help alert caregivers, but wearable sensors are not always tolerated. We determined algorithm settings and investigated detection performance of a video algorithm to detect CS in a residential care setting. The algorithm calculates power in the 2-6 Hz range relative to 0.5-12.5 Hz range in group velocity signals derived from video-sequence optical flow. A detection threshold was found using a training set consisting of video-electroencephalogaphy (EEG) recordings of 72 CS. A test set consisting of 24 full nights of 12 new subjects in residential care and additional recordings of 50 CS selected randomly was used to estimate performance. All data were analyzed retrospectively. The start and end of CS (generalized clonic and tonic-clonic seizures) and other seizures considered desirable to detect (long generalized tonic, hyperkinetic, and other major seizures) were annotated. The detection threshold was set to the value that obtained 97% sensitivity in the training set. Sensitivity, latency, and false detection rate (FDR) per night were calculated in the test set. A seizure was detected when the algorithm output exceeded the threshold continuously for 2 seconds. With the detection threshold determined in the training set, all CS were detected in the test set (100% sensitivity). Latency was ≤10 seconds in 78% of detections. Three/five hyperkinetic and 6/9 other major seizures were detected. Median FDR was 0.78 per night and no false detections occurred in 9/24 nights. Our algorithm could improve safety unobtrusively by automated real-time detection of CS in video registrations, with an acceptable latency and FDR. The algorithm can also detect some other motor seizures requiring assistance.

Effects of daytime secondarily generalized epileptic seizures on sleep during the following night.

Nocturnal seizures may disturb sleep, but the effect of an epileptic seizure during daytime on sleep during the next night has been under investigated. In this proof-of-principle study, the sleep of 425 patients with epilepsy, who underwent long-term video-electroencephalography recordings, was analyzed. The sleep recordings were retrospectively divided into two groups: Seizure Free, no seizure occurred at least 24 h before the start of the night sleep recording, and Daytime Seizure, at least one (secondarily) generalized seizure occurred during the day before. In Daytime Seizure, longer time in bed and latency to first REM and more NREM II were seen as well as a decrease of deep sleep and REM sleep compared to Seizure Free. As many participants underwent long-term recordings over a period longer than 48 h, we had the opportunity to compare in individual patients the sleep architecture during nights with and without seizures on the day before the recording. Time in bed and WASO were longer, and sleep efficiency was less in the nights after a seizure on the day before the recording. These differences were statistically significant, but their clinical relevance is doubtful.

Sleep disturbances in people with epilepsy; prevalence, impact and treatment.

The interaction between epilepsy and sleep is thoroughly studied and is very complex. This review focuses on prevalence, impact on quality of life and effects of treatment of sleep disorders on the course of epilepsy. Self-reported sleep disturbances in people with epilepsy are about twice as prevalent as in healthy controls. People with epilepsy with sleep disturbances have a significant impairment of quality of life compared to those with no sleep disturbances. In children with epilepsy, sleep problems may lead to detrimental effects on daytime behavior and cognition. Most is known about obstructive sleep apnea syndrome (OSAS). Co-morbidity of epilepsy and OSAS is shown to be far higher than expected by chance. Treatment of OSAS significantly improves seizure control in people with epilepsy. More studies on the prevalence of other sleep disorders in people with epilepsy and the effect of treatment are required. Reports on the effect of treatment for other sleep disorders are scarce and not unequivocal.