Sleep disorders and circadian rhythm in epilepsy revisited: a prospective controlled study

Chronotype variability in epilepsy and clinical significance: scoping review

PURPOSE

Chronotype, which captures a person's daily preferences for activity and sleep, is still a poorly researched area in epilepsy research. Finding common chronotype characteristics in people with epilepsy (PWE) and explaining possible effects on seizure management are the main goals.

METHODS

Eleven large-scale investigations from 2010 to 2023 were examined in this scoping review. These studies included 1.167 PWE and 4.657 control subjects.

RESULTS

PWE had intermediate chronotypes more often than not. Adult patients were more morning-oriented overall, while pediatric cohorts were variable. Relationships between chronotype and seizure control were limited since only two studies in adults reported this and those results conflicted. An evening-type chronotype was found to be more common in generalized epilepsy than focal. The relationship of chronotype and specific antiseizure medication (ASM) therapy was not investigated.

CONCLUSIONS

The majority of PWE displayed an intermediate chronotype, but analyses based on age showed more nuanced trends, with children displaying variable patterns, adults generally tending toward morningness, and generalized epilepsy being associated with eveningness. This review underscores the importance of more research on the complex connections between epilepsy outcomes and chronotype. It emphasizes the need to study larger samples of PWE with carefully documented seizure control and ASM therapy, including dose and timing of administration to better understand the role of chronotype on epilepsy outcomes.

Sleep in juvenile myoclonic epilepsy: A systematic review

Sleep disturbances significantly impact the lives of individuals with Juvenile Myoclonic Epilepsy (JME). This study aimed to investigate sleep studies, disturbances, and the impact of anti-seizure drugs on sleep in JME patients. Relevant studies were retrieved from the National Library of Medicine (Pubmed) database and the Cochrane Library utilizing the search terms "Juvenile Myoclonic Epilepsy" and "sleep". A total of 160 papers' review, data extraction, and resolution of discrepancies were performed independently by two reviewers according to the PRISMA protocol and were registered in PROSPERO (CRD42023472439). A systematic review of 31 studies was conducted, encompassing various methodologies, including sleep questionnaires (Pittsburgh Sleep Quality Index (n = 13), Epworth Sleepiness Scale (n = 10)), polysomnography (n = 8), EEG (n = 9), actigraphy (n = 1), and transcranial magnetic stimulation (n = 1). Most studies were hospital-based (n = 31), cross-sectional (n = 11), and prospective (n = 25). Patients with JME exhibit a higher prevalence of sleep disturbances, worse quality of sleep (n = 4), daytime sleepiness (n = 2), sleep efficiency (n = 7), and increased sleep latency (n = 1) compared to controls. These disruptions are characterized by increased wakefulness (n = 3), frequent arousals (n = 3), decreased REM sleep (n = 2), and conflicting NREM sleep findings (n = 3). Additional sleep-related issues observed in JME patients include insomnia (n = 1) and increased prevalence of parasomnias such as nightmares and sleep talking. Periodic limb movement and obstructive sleep apnea are similar or less frequent (3/28). REM behavioral disorders and sleepwalking were not seen. Valproate showed conflicting effects on sleep (n = 7), while levetiracetam did not impact sleep (n = 1). These findings underlined the need for more sufficient evidence of sleep studies in JME. Future research should prioritize understanding the nature of sleep in JME and its impact on management.

Sleep profiles in epilepsy patients undergoing monotherapy and polytherapy: A comparative cross-sectional study

OBJECTIVE

Sleep disturbances commonly reported among epilepsy patients have a reciprocal relationship with the condition; While epilepsy and anti-seizure medications (ASMs) can disrupt sleep structure, disturbed sleep can also exacerbate the frequency of seizures. This study explored subjective sleep disturbances and compared sleep profiles in patients who underwent ASM monotherapy and polytherapy.

METHODS

We enrolled 176 epilepsy patients who completed a structured questionnaire containing demographic and clinical information and the Persian versions of the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), and Patient Health Questionnaire-9 (PHQ-9) to evaluate sleep quality, insomnia, excessive daytime sleepiness (EDS), and depressive symptoms, respectively. Chi-square and Mann-Whitney U tests were employed to analyze the association between variables, and logistic regression analysis was conducted to identify factors predicting sleep disturbances.

RESULTS

Comparative analysis of mono/polytherapy groups revealed a significantly higher prevalence of insomnia and EDS among patients on polytherapy compared to monotherapy. However, no significant difference was found in sleep quality between the two groups. Logistic regression analysis revealed that a depressive mood serves as a robust predictor for sleep issues, whereas treatment type did not emerge as an independent predictor of sleep disturbances.

CONCLUSION

Our findings suggest that an increased number of ASMs does not inherently result in a higher incidence of sleep issues. Therefore, multiple ASMs may be prescribed when necessary to achieve improved seizure control. Furthermore, this study underscores the importance of comprehensive management that addresses seizure control and treating affective symptoms in individuals with epilepsy.

Effects of exercise on sleep in patients with epilepsy: A systematic review

Exercise interventions in epilepsy have been shown to improve seizure frequency, physical capacity, quality of life, mood, and cognitive functioning. However, the effectiveness of exercise in improving sleep in epilepsy is less clear. The purpose of this report is to identify the published literature regarding exercise interventions in people with epilepsy to determine 1) what proportion of published clinical trials assess sleep as an outcome, and 2) what benefits of exercise interventions on sleep have been observed. We searched the PubMed, PsycINFO, and SCOPUS electronic databases using the search terms "epilepsy AND [exercise OR physical activity]" and identified 23 articles reporting on 18 unique clinical trials. Nine studies were conducted in adults, five in children, and four in adults and children with active seizures, controlled seizures, or both. Exercise modalities included aerobic exercise, strength training, walking, and yoga, among others, and some also included educational and motivational components. Exercise effects on sleep were tested in four studies, two of which only included indirect measures of sleep- and rest-related fatigue, with mixed results. Of the two reports assessing sleep directly, one reported marginal non-significant improvements in subjective sleep quality and no improvements in objective sleep quality in children after twelve weeks of walking, and the other reported no benefits in subjective sleep quality after twelve weeks of combined aerobic, strength, and flexibility training in adults. Given the health benefits of sleep and detrimental effects of sleep deprivation in epilepsy, epilepsy researchers need to assess the effects of exercise interventions on sleep.

Circadian rhythms in the blood-brain barrier: impact on neurological disorders and stress responses

Circadian disruption has become more prevalent in society due to the increase in shift work, sleep disruption, blue light exposure, and travel via different time zones. The circadian rhythm is a timed transcription-translation feedback loop with positive regulators, BMAL1 and CLOCK, that interact with negative regulators, CRY and PER, to regulate both the central and peripheral clocks. This review highlights the functions of the circadian rhythm, specifically in the blood-brain barrier (BBB), during both healthy and pathological states. The BBB is a highly selective dynamic interface composed of CNS endothelial cells, astrocytes, pericytes, neurons, and microglia that form the neurovascular unit (NVU). Circadian rhythms modulate BBB integrity through regulating oscillations of tight junction proteins, assisting in functions of the NVU, and modulating transporter functions. Circadian disruptions within the BBB have been observed in stress responses and several neurological disorders, including brain metastasis, epilepsy, Alzheimer's disease, and Parkinson's disease. Further understanding of these interactions may facilitate the development of improved treatment options and preventative measures.

Sleep Disturbances in Neurological Disease: A Target for Intervention

Sleep is a biological function required for neurological and general health, but a significant and under-recognized proportion of the population has disturbed sleep. Here, we briefly overview the biology of sleep, sleep requirements over the lifespan, and common sleep disorders. We then turn our attention to five neurological diseases that significantly contribute to global disease burden and neurology practice makeup: epilepsy, headache, ischemic stroke, Parkinson's disease, and Alzheimer's disease. For each disease, we review evidence that sleep disturbances contribute to disease risk and severity and discuss existing data that addressing sleep disturbances may have disease-modifying effects. We provide recommendations derived from the literature and existing clinical guidelines to facilitate the evaluation and management of sleep disturbances within the context of each neurological disease. Finally, we synthesize identified needs and commonalities into future directions for the field and practical sleep-related recommendations for physicians caring for patients at risk for or currently suffering from neurological disease.

Sleep quality and architecture in Idiopathic generalized epilepsy: A systematic review and meta-analysis

Idiopathic generalized epilepsies are a group of sleep related epilepsy syndromes with sleep deprivation as a strong trigger for seizures and increased spike-wave activity during sleep and transition to sleep. Neuropsychological deficits are common in Idiopathic generalized epilepsy patients. Learning and memory processes are closely linked to sleep. Therefore, this systematic review and meta-analysis investigates the evidence of sleep disturbances in Idiopathic generalized epilepsy patients. A search of the databases EMBASE, Medline and Scopus identified 22 studies comparing polysomnographic parameters and scores of sleep questionnaires between Idiopathic generalized epilepsy patients and healthy controls. Random effect univariate meta-analyses revealed reduced sleep efficiency, total sleep time, proportion of N2 stage and prolonged REM onset latency in Idiopathic generalized epilepsy patients. Self-assessed sleep quality of patients measured by the Pittsburgh sleep quality index was lower in two thirds of reporting studies. Considering the influence on behavioral issues, cognitive performance and quality of life, the revealed alteration in sleep architecture and lower subjective sleep quality emphasizes the importance of screening for sleep disturbances in the medical care of patients with Idiopathic generalized epilepsy.

Evaluation of sleep habits, sleep chronotype, and quality of life in children with drug-resistant epilepsy in Turkey

BACKGROUND/AIM

Drug-resistant epilepsy (DRE) is a condition that affects sleep habits and the quality of life of children unfavorably. The aim of our study was to evaluate the relationship of sleep habits and sleep chronotype with the quality of life and behavioral problems in children with DRE.

MATERIALS AND METHODS

In our study, 2-11-year-old children, who were either healthy or diagnosed with DRE, were evaluated. A sociodemographic data form was filled out to evaluate the general characteristics of children. The Children's Sleep Habits Questionnaire (CSHQ) and the Children's Chronotype Questionnaire (CCTQ) for sleep habits, the Pediatric Quality of Life Inventory (PedsQL) for the quality of life, and the Aberrant Behavior Checklist (ABC) for behavioral problems were filled out through face-to-face interviews with parents.

RESULTS

Thirty children with DRE and 31 healthy children were included in our study. Statistically significant differences were found in children with DRE compared to the control group in terms of the total and the subscale scores of CSHQ, including sleep onset delay, sleep duration, sleep anxiety, parasomnias, and sleep-disordered breathing (p < 0.001). There were no significant differences between the groups in terms of CCTQ total scores and sleep patterns (p > 0.05). Significant differences were found in PedsQL total and subscale scores, and ABC scores in children with DRE compared to the control group (p < 0.001). Children's Sleep Habits Questionnaire, PedsQL, and ABC scores were significantly correlated with each other in children with DRE.

CONCLUSIONS

Our results have shown that sleep habits and the quality of life are poor in children with DRE. Our study has shown that sleep disturbances, quality of life, and behavioral problems are strongly associated with each other in DRE. The recognition and appropriate treatment of sleep disturbances are important for improving the quality of life in children with DRE.

Sleep and epilepsy: A snapshot of knowledge and future research lines

Sleep and epilepsy have a reciprocal relationship, and have been recognized as bedfellows since antiquity. However, research on this topic has made a big step forward only in recent years. In this narrative review we summarize the most stimulating discoveries and insights reached by the "European school." In particular, different aspects concerning the sleep-epilepsy interactions are analysed: (a) the effects of sleep on epilepsy; (b) the effects of epilepsy on sleep structure; (c) the relationship between epilepsy, sleep and epileptogenesis; (d) the impact of epileptic activity during sleep on cognition; (e) the relationship between epilepsy and the circadian rhythm; (f) the history and features of sleep hypermotor epilepsy and its differential diagnosis; (g) the relationship between epilepsy and sleep disorders.

The additional diagnostic benefits of performing both video-polysomnography and prolonged video-EEG-monitoring: when and why

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Video-polysomnography (VPSG) and prolonged video-EEG-monitoring (pVEEG-M) are indicated for different suspected diagnoses.

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Here, we report on 109 patients who underwent both, VPSG and pVEEG-M, within a 10 year period.

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Both examinations were performed in case of comorbidities, to achieve a final diagnosis or to refute differential diagnoses.

Objective

Video-polysomnography (VPSG) and prolonged video-EEG-monitoring (pVEEG-M) are neurophysiological investigation modalities. Depending on indication either is performed, but occasionally patients undergo both (during the same or separate stays). We sought to assess the reasons and potential benefits of dual diagnostic assessments with both modalities.

Methods

A retrospective chart-review was performed to identify patients who underwent both VPSG and pVEEG-M during the 10 year period between 2007 and 2017. One-hundred-nine patients were identified who had undergone both studies. Patients were grouped according to indication and outcome.

Results

One-hundred-nine patients had both, a VPSG and pVEEG-M, in 62 (56.9%) the studies were performed because of separate diagnoses independent from each other. In 47 patients (43.1%) investigation with both modalities was needed to clarify the suspected diagnosis or to refute differential diagnoses. Out of these 47, 11 (10.1% of the whole group) arrived a new final diagnosis whereas in 36 (33%) the primary diagnosis was corroborated with the second modality.

Conclusions

In the majority of cases VPSG plus pVEEG-M were indicated to diagnose or monitor different comorbid diseases (e.g. sleep-related breathing disorder and epilepsy). In the other cases, performing both modalities was useful to achieve a higher diagnostic accuracy or to refute differential diagnoses.

Significance

VPSG and pVEEG-M are neurophysiological investigations which complement each other, especially in case of two different comorbid diseases in a single patient, to rule out differential diagnosis or when a higher diagnostic certainty is seeked.

More than sleep and wake disturbances: An actigraphic study showing the sleep-wake pattern dysregulation in epilepsy

OBJECTIVE

This study aimed to assess the sleep-wake pattern in patients with epilepsy compared to controls.

METHODS

Patients with epilepsy and controls underwent a 14-day actigraphic recording to evaluate the rest-activity cycle. A sleep medicine interview was performed to exclude conditions interfering with the sleep-wake cycle in both patients and controls. Patients presenting seizures during the actigraphic recording were excluded. Daytime activity, nocturnal sleep, and non-parametric circadian rhythm activity (NPCRA) were analysed.

RESULTS

Twenty-two patients (mean age 49.5 ± 19.84 years; 50% female) and 17 controls were included. Patients showed lower sleep efficiency and longer sleep latency than controls. NPCRA analysis showed lower inter-daily stability and higher intra-daily variability in patients, who also presented lower daytime activity and a longer central phase measure (CPM) than controls.

CONCLUSIONS

Patients showed a significant alteration of the sleep-wake pattern, featured by lower synchronization and higher fragmentation of the rest-activity rhythm. Moreover, patients showed a delayed CPM compared with controls, corresponding to an evening chronotype tendency. Nocturnal sleep alteration and lower daytime activity were also evident. Therefore, patients with epilepsy present an alteration of the sleep-wake pattern and clinicians should increase their awareness about circadian rhythmicity dysregulation in epilepsy.

Sleep quality and associated factors among adult patients with epilepsy attending follow-up care at referral hospitals in Amhara region, Ethiopia

BACKGROUND

Globally, epilepsy is the commonest neurological disorder in adults. It has significant health and economic consequences to the affected individuals and the family. There is ample evidence that epileptic patients are at increased risk of poor sleep quality than the general population. However, there is limited evidence on sleep quality among epileptic patients and associated factors in Ethiopia. Therefore, this study investigated the prevalence of poor sleep quality and associated factors among adult patients with epilepsy.

METHOD

Institutional based cross-sectional study was conducted among adult epileptic patients attending follow-up care at referral hospitals in the Amhara region. A total of 575 epileptic patients were recruited using a stratified systematic random sampling technique. An interviewer-administered semi-structured questionnaire and record review were used for data collection. To assess sleep quality the pretested Pittsburgh Sleep Quality Index (PSQI) tool was used. A binary logistic regression model was used to assess factors associated with poor sleep quality. Variables with a p-value less than 0.2 in the bivariable binary logistic regression analysis were considered for the multivariable binary logistic regression analysis. In the multivariable binary logistic regression analysis, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) were reported to declare the statistical significance and strength of association. Model fitness was assessed using the Hosmer-Lemeshow test and was adequate (p>0.05). Multicollinearity of the independent variables was assessed using the Variance Inflation Factor (VIF) and the mean VIF was less than 10.

RESULTS

A total of 565 participants were enrolled in the study with a response rate of 98.3%. The prevalence of poor sleep quality among adult epileptic patients was 68.8% [95% CI: 64.8%, 72.5%]. In the multivariable binary logistic regression, being unable to read and write [AOR = 3.16, 95%CI: 1.53, 6.51], taking polytherapy treatment [AOR = 2.10, 95% CI: 1.37, 3.21], poor medication adherence [AOR = 2.53, 95%CI: 1.02, 6.23] and having poor support [AOR = 2.72, 95%CI: 1.53, 4.82] and moderate social support [AOR = 1.89, 95%CI: 1.05, 3.41] were significantly associated with higher odds of poor sleep quality.

CONCLUSION AND RECOMMENDATION

Poor sleep quality is a major public health concern in Ethiopia. The patient's level of education, number of medication use, medication adherence, and social support were found significant predictors of poor sleep quality. These findings highlight improving medication adherence and social support are effective strategies to improve the sleep quality of epileptic patients. Besides, it is better to give special emphasis to those epileptic patients with a low level of education and taking polytherapy to enhance sleep quality.

Louis EK, Reichard RR, Edwards WD, Ackerman MJ, Somers VK. Confirmation of Cause of Death Via Comprehensive Autopsy and Whole Exome Molecular Sequencing in People With Epilepsy and Sudden Unexpected Death

Background

Sudden cardiac arrest is the leading mode of death in the United States. Epilepsy affects 1% of Americans; yet epidemiological data show a prevalence of 4% in cases of sudden cardiac arrest. Sudden unexpected death in epilepsy (SUDEP) may share features with sudden cardiac arrest. The objective of this study was to report autopsy and genomic findings in a large cohort of SUDEP cases.

Methods and Results

Mayo Clinic Sudden Death Registry containing cases (ages 0–90 years) of sudden unexpected and unexplained deaths 1960 to present was queried. Exome sequencing performed on decedent cases. From 13 687 cases of sudden death, 656 (4.8%) had a history of seizures, including 368 confirmed by electroencephalography, 96 classified as SUDEP, 58 as non‐SUDEP, and 214 as unknown (insufficient records). Mean age of death in SUDEP was 37 (±19.7) years; 56 (58.3%) were male; 65% of deaths occurred at night; 54% were found in bed; and 80.6% were prone. Autopsies were obtained in 83 cases; bystander coronary artery disease was frequently reported as cause of death; nonspecific fibrosis was seen in 32.6% of cases, in structurally normal hearts. There were 4 cases of Dravet syndrome with pathogenic variants in SCN1A gene. Using whole exome sequencing in 11 cases, 18 ultrarare nonsynonymous variants were identified in 6 cases including CACNB2, RYR2, CLNB, CACNA1H, and CLCN2.

Conclusions

This study examined one of the largest single‐center US series of SUDEP cases. Several cases were reclassified as SUDEP, 15% had an ECG when alive, and 11 (11.4%) had blood for whole exome sequencing analysis. The most frequent antemortem genetic finding was pathogenic variants in SCN1A; postmortem whole exome sequencing identified 18 ultrarare variants.

Expert Opinion: Managing sleep disturbances in people with epilepsy

Poor sleep and daytime sleepiness are common in people with epilepsy. Sleep disorders can disrupt seizure control and in turn sleep and vigilance problems can be exacerbated by seizures and by antiepileptic treatments. Nevertheless, these aspects are frequently overlooked in clinical practice and a clear agreement on the evidence-based guidelines for managing common sleep disorders in people with epilepsy is lacking. Recently, recommendations to standardize the diagnostic pathway for evaluating patients with sleep-related epilepsies and comorbid sleep disorders have been presented. To build on these, we adopted the Delphi method to establish a consensus within a group of experts and we provide practical recommendations for identifying and managing poor night-time sleep and daytime sleepiness in people with epilepsy. We recommend that a comprehensive clinical history of sleep habits and sleep hygiene should be always obtained from all people with epilepsy and their bed partners. A psychoeducational approach to inform patients about habits or practices that may negatively influence their sleep or their vigilance levels should be used, and strategies for avoiding these should be applied. In case of a suspected comorbid sleep disorder an appropriate diagnostic investigation should be performed. Moreover, the possible presence of sleep fragmentation induced by sleep-related seizures should be ruled out. Finally, the dose and timing of antiepileptic medications and other co-medications should be optimized to improve nocturnal sleep and avoid daytime sedation.

Sleep quality and daytime sleepiness in epilepsy: Systematic review and meta-analysis of 25 studies including 8,196 individuals

We sought to gain a better understanding of the relationship between epilepsy and sleep quality and daytime sleepiness by performing a literature search of PubMed for case-control studies that compared patients with epilepsy to controls and reported the Pittsburgh sleep quality index (PSQI) and/or the Epworth sleepiness scale (ESS). Study-specific mean differences in the PSQI and ESS between cases and controls were extracted from the publications and pooled using random-effects meta-analysis. Twenty-five studies (2964 cases, 5232 controls) were included. Fifteen studies reported the PSQI and 24 the ESS. Mean age was 40 years; 50.4% were women. When comparing cases to controls, the pooled mean differences in the PSQI and ESS were 1.27 (95% confidence interval (CI): 0.76, 1.78; P < 0.001; I²: 81.4%) and 0.38 (95% CI: -0.07, 0.84; P = 0.099; I²: 81.0%). Subgroup analyses revealed that mean differences in the ESS were significantly lower in studies with a higher proportion of patients with focal epilepsy (P = 0.004). In this large-scale meta-analysis patients with epilepsy had a higher PSQI, close to the pathological cut-off, compared to controls, but a similar and unremarkable ESS. Further studies are needed to investigate potential effect modifiers, such as specific antiepileptic drugs or seizure frequency.

Prevalence of sleep disorders in patients with epilepsy: A questionnaire-based cross-sectional study

BACKGROUND

Sleep disturbance is a frequent finding in patients with epilepsy. As evaluation of sleep disorders and quality of sleep in patients with epilepsy may provide better management of these patients, we aimed to assess the prevalence of common sleep disorders in patients with epilepsy.

METHODS

Patients with epilepsy referred to an outpatient epilepsy clinic in Tehran during one year were included. Validated Persian questionnaires were used by an interviewer to assess Excessive daytime sleepiness (EDS), Restless leg syndrome (RLS), and insomnia. Also, patients' demographic features and clinical seizure-related characteristics were recorded.

RESULTS

Seventy patients (35 males) aged between 18 and 75 were enrolled. Among patients, 61.4, 35.7, and 28.6% suffered from insomnia, EDS, and RLS, respectively (mild to severe). When considering seizure characteristics, there was no significant correlation between either seizure frequency or its type and the prevalence of sleep disturbance (although sleep disturbance was more common among patients with higher seizure frequency and patients with generalized seizure). Interestingly, age had a positive correlation with EDS.

CONCLUSION

This study showed that sleep disturbance is a common finding in patients with epilepsy, which may become severe in some cases. Taking this into consideration, we suggest that routine evaluation of sleep disorders may help physicians to boost patients' sleep quality.

Depression is a major determinant of sleep abnormalities in patients with epilepsy

ABSTRACT Introduction: We aimed to identify sleep disorders in patients with epilepsy and compare this group with a healthy population. We also analyzed the features of sleep disorders in patients with epilepsy to demonstrate the effect of seizures and seizure types on sleep. Methods: Our study assessed 43 patients with epilepsy and 53 age- and gender-matched healthy controls. The demographic and clinical data of all participants were recorded. The Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index (PSQI), International Restless Legs Syndrome Study Group Rating Scale, Berlin Questionnaire, and Beck Depression Inventory (BDI) were administered to all study subjects. The interview used to evaluate insomnia is based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition - DSM-5 diagnostic criteria. Results: Twenty-four patients (55.8%) and 26 controls (49.1%) are women. The mean age of patients and controls was 34.2±11.37 (16-71) and 34.6±11.28 (16-77), respectively. Patients with epilepsy had depression more often than controls, a result that was statistically significant (p<0.0001). We found no statistically significant difference between sleep parameters of patients and controls with normal BDI scores (p>0.05). Patients with depression had worse results on the Berlin Questionnaire and PSQI total score, with statistical significance (p=0.002). Nocturnal seizures, seizure type, and drug treatment had no effect on sleep (p>0.05). Conclusion: We concluded that depression rather than epilepsy negatively affects sleep, suggesting that all patients should be asked about their mood and sleep complaints.

Insomnia is less prevalent and less severe, independent of depressive symptoms, in patients with epilepsy treated with perampanel as an adjuvant

PURPOSE

The potential benefit of perampanel for sleep disturbances is unknown. This study determined whether insomnia is less prevalent and less severe in patients with epilepsy (PWE) who take perampanel as an adjuvant.

METHODS

This cross-sectional study was conducted in adults with epilepsy. Insomnia in patients treated or not treated with perampanel was diagnosed according to the criteria of the International Classification of Sleep Disorders, the third edition (ICSD-3) and the Insomnia Severity Index (ISI). Patients were also scored on the Epworth Sleepiness Scale (ESS), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7), and the groups were compared by stepwise linear or logistic regression analyses.

RESULTS

One hundred and twenty-six PWE were included in the study: 31 patients (24.6%) were taking perampanel. Insomnia was diagnosed in 15.9% and 20.6% of all patients according to the ICSD-3 and an ISI score of ≥15, respectively. Agreement between the two diagnostic methods was moderate (Cohen's kappa, 0.470). In a stepwise logistic regression model, insomnia diagnosed by either method was negatively associated with perampanel use (P<0.05) but positively correlated with depressive symptoms, anxiety, and duration of epilepsy. In a stepwise linear regression model, ISI scores correlated negatively with perampanel use (P=0.004) but positively with depressive symptoms (P<0.001) and anxiety (P=0.001).

CONCLUSIONS

Insomnia is less prevalent and less severe in PWE treated with perampanel independent of depressive symptoms, which will be helpful for treating PWE and comorbid sleep disturbances.

Parasomnias, sleep-related movement disorders and physiological sleep variants in focal epilepsy: A polysomnographic study

PURPOSE

The link existing between epilepsy and sleep is widely recognized. However, little is known about the prevalence and the clinical consequences of the comorbidity between focal epilepsy and sleep disorders, especially those sleep phenomena classified as isolated symptoms or normal variants. Objective of the study was to evaluate the frequency of sleep disorders and physiological sleep variants in a group of adult patients with focal epilepsy as compared to healthy controls by means of nocturnal polysomnography.

METHODS

We performed a retrospective observational study in the Neurological Clinic of the University of Catania in adult patients with a diagnosis of focal epilepsy and in a group of control subjects. All subjects underwent an overnight polysomnography. The following sleep disorders were considered: NREM-related parasomnias; REM-related parasomnias; sleep-related movement disorders; isolated symptoms or normal variants.

RESULTS

100 patients [mean age 30.3 ± 14.7 years, 40 men] and 62 controls [mean age 36.4 ± 15.9, 20 men] were studied. A significant higher percentage of sleep disorders was recorded in patients as compared to controls (73 % vs 48.4 %; p = 0.002). In particular, we found a higher frequency of periodic limb movements (PLM) (20 % vs 4.8 %; p = 0.007), bruxism (20 % vs 4.8 %; p = 0.007) and neck myoclonus (22 % vs 4.8 %; p = 0.003). Moreover, alternating limb muscle activation was associated with sleep-related hypermotor epilepsy (OR = 7.9; p = 0.01).

CONCLUSION

Sleep disorders and physiological sleep variants are common in adult patients with focal epilepsy.

Decoding Circadian Rhythm and Epileptic Activities: Clues From Animal Studies

The relationship between circadian rhythm and epilepsy has been recognized for decades. Yet many questions underlying the complex mechanisms of their interaction remain elusive. A better understanding on this topic allows the development of accurate seizure-detection algorithm and alternative precise therapeutic strategies. Preclinical laboratory studies based on epileptic animal models, with controllable epileptogenic pathology and an array of intervention strategies, shed light on the bidirectional effects between circadian rhythm and epileptic seizures as well as their underlying mechanisms. Here, we reviewed findings on the interaction between circadian rhythm and epileptic seizures in the preclinical setting. We present the possible mechanisms at molecular, cellular and circuitry levels. We propose that future experimental designs should take into account the relationship between circadian rhythm and epilepsy as well as the underlying mechanisms in different types of animal models, which may have a translational significance as stepping stones for clinical benefits.

Circadian Rhythms and Epilepsy: A Suitable Case for Absence Epilepsy

Many physiological processes such as sleep, hormonal secretion, or thermoregulation, are expressed as daily rhythms orchestrated by the circadian timing system. A powerful internal clock mechanism ensures proper synchronization of vital functions within an organism on the one hand, and between the organism and the external environment on the other. Some of the pathological processes developing in the brain and body are subjected to circadian modulation as well. Epilepsy is one of the conditions which symptoms often worsen at a very specific time of a day. Variation in peak occurrence depends on the syndrome and localization of the epileptic focus. Moreover, the timing of some types of seizures is closely related to the sleep-wake cycle, one of the most prominent circadian rhythms. This review focuses on childhood absence epilepsy (CAE), a genetic generalized epilepsy syndrome, in which both, the circadian and sleep influences play a significant role in manifestation of symptoms. Human and animal studies report rhythmical occurrence of spike-wave discharges (SWDs), an EEG hallmark of CAE. The endogenous nature of the SWDs rhythm has been confirmed experimentally in a genetic animal model of the disease, rats of the WAG/Rij strain. Well-known detrimental effects of circadian misalignment were demonstrated to impact the severity of ongoing epileptic activity. SWDs are vigilance-dependent in both humans and animal models, occurring most frequently during passive behavioral states and light slow-wave sleep. The relationship with the sleep-wake cycle seems to be bidirectional, while sleep shapes the rhythm of seizures, epileptic phenotype changes sleep architecture. Circadian factors and the sleep-wake states dependency have a potential as add-ons in seizures' forecasting. Stability of the rhythm of recurrent seizures in individual patients has been already used as a variable which refines existing algorithms for seizures' prediction. On the other hand, apart from successful pharmacological approach, circadian hygiene including sufficient sleep and avoidance of internal desynchronization or sleep loss, may be beneficial for patients with epilepsy in everyday management of seizures.

Daylight saving time transitions are not associated with increased seizure incidence

OBJECTIVE

Given the known association of daylight saving time (DST) transitions with increased risk of accidents, heart attack, and stroke, we aimed to determine whether seizures, which are reportedly influenced by sleep and circadian disruption, also increased in frequency following the transition into DST.

METHODS

Using Seizure Tracker's self-reported data from 12 401 individuals from 2008-2016, 932 717 seizures were assessed for changes in incidence in relation to DST transitions. Two methods of standardization-z scores and unit-scaled rate ratios (RRs)-were used to compare seizure propensities following DST transitions to other time periods.

RESULTS

As a percentile relative to all other weeks in a given year, absolute seizure counts in the week of DST fell below the median (DST seizure percentiles mean ± SD: 19.68 ± 16.25, P = 0.01), which was concordant with weekday-specific comparisons. Comparatively, RRs for whole-week (1.06, 95% confidence interval [CI] 1.02-1.10, P = 0.0054) and weekday-to-weekday (RR range 1.04-1.16, all P < 0.001) comparisons suggested a slightly higher incidence of seizures in the DST week compared to all other weeks of the year. However, examining the similar risk of the week preceding and following the DST-transition week revealed no significant weekday-to-weekday differences in seizure incidence, although there was an unexpected, modestly decreased seizure propensity in the DST week relative to the whole week prior (RR 0.94, 95% CI 0.91-0.96, P < 0.001).

SIGNIFICANCE

Despite expectations that circadian and sleep disruption related to DST transitions would increase the incidence of seizures, we found little substantive evidence for such an association in this large, longitudinal cohort. Although large-scale observational/epidemiologic cohorts can be effective at answering such questions, additional covariates (eg, sleep duration, seizure type, and so on) that may underpin the association were not able available, so the association has not definitively been ruled out.

Impact of repeated kindled seizures on heart rate rhythms, heart rate variability, and locomotor activity in rats

Although an impact of epilepsy on circadian rhythmicity is well-recognized, there are profound gaps in our understanding of the influence of seizures on diurnal rhythms. The effect on activity levels and heart rate is of particular interest as it might contribute to the disease burden. The kindling model with telemetric transmitter implants provides excellent opportunities to study the consequences of focal and generalized seizures under standardized conditions. Data from kindled rats with generalized seizures revealed an increase in activity and heart rate during the resting phase. Total and short-term heart rate variabilities were not affected by electrode implantation or seizure induction. Ictal alterations in heart rate associated with generalized seizures were characterized by a biphasic bradycardia with an immediate drop of heart rate followed by a transient normalization and a second more steady decrease. In conclusion, the findings demonstrate that once daily generalized seizures can exert significant effects on heart rate rhythms. Respective alterations in patients would be of relevance for patient counselling and therapeutic management. Occurrence of biphasic bradycardia associated with seizure induction suggests that the kindling model is suitable to study the consequences and the prevention of ictal bradycardia, which may pose patients at risk for sudden unexpected death.

Circadian rhythm and epilepsy

Advances in diagnostic technology, including chronic intracranial EEG recordings, have confirmed the clinical observation of different temporal patterns of epileptic activity and seizure occurrence over a 24-h period. The rhythmic patterns in epileptic activity and seizure occurrence are probably related to vigilance states and circadian variation in excitatory and inhibitory balance. Core circadian genes BMAL1 and CLOCK, which code for transcription factors, have been shown to influence excitability and seizure threshold. Despite uncertainties about the relative contribution of vigilance states versus circadian rhythmicity, including circadian factors such as seizure timing improves sensitivity of seizure prediction algorithms in individual patients. Improved prediction of seizure occurrence opens the possibility for personalised antiepileptic drug-dosing regimens timed to particular phases of the circadian cycle to improve seizure control and to reduce side-effects and risks associated with seizures. Further studies are needed to clarify the pathways through which rhythmic patterns of epileptic activity are generated, because this might also inform future treatment options.

Sleep Related Epilepsy and Pharmacotherapy: An Insight

In the last several decades, sleep-related epilepsy has drawn considerable attention among epileptologists and neuroscientists in the interest of new paradigms of the disease etiology, pathogenesis and management. Sleep-related epilepsy is nocturnal seizures that manifest solely during the sleep state. Sleep comprises two distinct stages i.e., non-rapid eye movement (NREM) and rapid eye movement (REM) that alternate every 90 min with NREM preceding REM. Current findings indicate that the sleep-related epilepsy manifests predominantly during the synchronized stages of sleep; NREM over REM stage. Sleep related hypermotor epilepsy (SHE), benign partial epilepsy with centrotemporal spikes or benign rolandic epilepsy (BECTS), and Panayiotopoulos Syndrome (PS) are three of the most frequently implicated epilepsies occurring during the sleep state. Although some familial types are described, others are seemingly sporadic occurrences. In the present review, we aim to discuss the predominance of sleep-related epilepsy during NREM, established familial links to the pathogenesis of SHE, BECTS and PS, and highlight the present available pharmacotherapy options.

Impact of sleep disorders on the risk of seizure recurrence in juvenile myoclonic epilepsy

OBJECTIVE

The aim of this study was to investigate the presence of sleep disturbances in patients with juvenile myoclonic epilepsy (JME) using sleep questionnaires. Further, we tried to evaluate whether alterations in sleep quality may influence the clinical expression of JME.

METHODS

Sixty-two patients with JME treated with levetiracetam were included. Demographic and clinical variables were collected. Moreover, all patients submitted the Pittsburgh Sleep Quality index (PSQI) and the Epworth Sleepiness Scale (ESS) in order to respectively assess sleep quality during the last month and daytime sleepiness. All patients were followed up for a 6-month period and divided in two groups: seizure-free (Group 1) and seizure recurrence (Group 2). The PSQI and ESS scores were synthesized as binary variables <5/≥5 and <10/≥10, respectively. A comprehensive analysis was performed to evaluate the independent effect of the sleep quality and daytime sleepiness on the risk of having seizures during the follow-up.

RESULTS

Both reduced sleep quality during the last month and daytime sleepiness were associated with an increased risk of suffering from seizures during the follow-up period. In fact, a PSQI score<5 or an ESS score<10 resulted significantly associated with the absence of seizure recurrence (p<0.004 and p<0.001, respectively). Increasing age had a significantly protective effect in the risk of seizure relapse.

CONCLUSIONS

Our findings show that reduced sleep quality and daytime sleepiness in patients with JME increase the risk of seizure occurrence in spite of an appropriate pharmacological treatment. This negative effect seems to be more relevant in younger patients. Sleep disorders and their specific correction should be taken into consideration for the management of patients with JME.

Changes in sleep patterns after vagus nerve stimulation, deep brain stimulation or epilepsy surgery: Systematic review of the literature

PURPOSE

Perform a systematic review of the literature on the effects of vagus nerve stimulation (VNS), deep brain stimulation (DBS) and epilepsy surgery in subjective and objective sleep parameters.

METHODS

We performed a literature search in the main medical databases: Medline, Embase, Cochrane, DARE and LILACS, looking for studies that evaluated the effects of VNS, DBS or epilepsy surgery on sleep parameters. In all, 36 studies, coming from 11 countries, including reviews, cohort studies, case series and case reports were included.

RESULTS

VNS induces sleep apnoea dependent of the stimulation variables. This condition can be reverted modifying these settings. Surgical procedures for epilepsy cause an improvement in objective and subjective sleep parameters that depend on the success of the procedure evaluated through ictal frequency control. There is evidence that non-pharmacologic treatment of epilepsy has different effects on sleep patterns.

CONCLUSION

It is advisable to include objective and subjective sleep parameters in the initial evaluation and follow-up of patients considered for invasive procedures for epilepsy control, especially with VNS due to the risk of sleep apnoea. More high quality studies are needed.

Quality of life in adults with epilepsy is associated with anticonvulsant polypharmacy independent of seizure status

RATIONALE

Polypharmacy, sometimes necessary to control epilepsy, can result in adverse effects that may affect quality of life (QOL). Our purpose was to determine the association of polypharmacy with QOL.

METHODS

Two hundred seven patients with epilepsy were surveyed on characteristics within the last 4weeks: QOL Quality of Life in Epilepsy-Patient-Weighted (QOLIE-10-P) and seizure status (seizure-free or not), demographics, epilepsy characteristics, insomnia, sleepiness, mood, sleep-wake timing, healthcare use, and employment. Those on polypharmacy (antiepileptic drug (AED)>1) were compared with controls (AED=1) with univariate comparisons and subsequent multivariate regression.

RESULTS

Patients on polypharmacy had worse QOL scores (mean 33.3±6.9 versus 36.7±5.7), were less likely to be seizure-free (39 (44%) versus 82 (68%)), had more evening-weighted wakefulness, and were more likely unemployed (74% versus 49%). Polypharmacy was associated with worse QOL (odds ratio 1.068 and 95th CI 1.018-1.121) even after controlling for seizure status. Covariates offered no improvement to the model.

CONCLUSION

Polypharmacy was associated with worse QOL in patients with epilepsy despite seizure control. Further investigation into specific etiology of polypharmacy's influence on QOL is warranted in order to develop paradigms for optimal treatment.

Subjective sleep disturbance in Chinese adults with epilepsy: Associations with affective symptoms

BACKGROUND

As well as being a very common neurological disease worldwide, epilepsy significantly impairs patients' emotional, behavioral, and cognitive functioning. Sleep disturbances are the most frequent complaint in patients with epilepsy. The present study assesses the impact of a range of affective symptoms on subjective sleep quality and sleep disturbances in Chinese adults with epilepsy.

METHODS

Adults with epilepsy who visited our epilepsy clinic from July 2015 to March 2016 were enrolled in our study. Both patients and healthy controls completed the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), and Mini-mental State Examination (MMSE). Subjective sleep quality and sleep disturbances were examined with regard to self-reported symptoms of depression and anxiety, seizure-related factors, and demographic factors.

RESULTS

The PSQI scores and ISI scores of patients were significantly higher (indicating lower quality sleep and more serious insomnia) than those of the control group. Symptoms associated with depression and anxiety were independently related to impaired subjective sleep quality and insomnia. Affective symptoms explained more of the variance in PSQI scores and ISI scores than did seizure-related or demographic variables. In addition, these variables also seemed to be less powerful contributing factors to subjective sleep quality and insomnia than affective symptoms, several seizure-related factors, such as seizure control, partial seizures and duration of epilepsy, which are also significantly associated with subjective sleep quality and insomnia. In addition, use of lamotrigine (LTG) was also associated with insomnia and use of clonazepam (CZP) and phenobarbital (PB) with daytime sleepiness in patients with epilepsy.

CONCLUSION

Chinese adults with epilepsy have poorer self-reported subjective sleep quality and a higher prevalence of insomnia than the control group. Depressive- and anxiety-related symptoms independently exert an adverse effect on the subjective sleep quality and insomnia of patients. In addition, seizure control, partial seizures, and the duration of epilepsy affect the quality of sleep and insomnia in patients, but seem less powerful predictors of sleep quality and insomnia than affective symptoms. Early identification and treatment of affective symptoms is of great importance in improving the sleep quality and insomnia of patients with epilepsy.

The relationship between mood disorder and insomnia depends on race in US veterans with epilepsy

PURPOSE

Few data exist on race, medical/psychiatric comorbidities, and insomnia symptoms in US veterans with epilepsy. Our aims were to examine 1) whether insomnia symptom prevalence was different between Black and White veterans and 2) whether predictors of insomnia symptoms varied by race.

METHODS

This retrospective, cross-sectional study included veterans evaluated in an epilepsy clinic over the course of 1.5years. Individuals completed standardized assessments for epilepsy and sleep complaints. Insomnia criteria were met by 1) report of difficulty with sleep initiation, maintenance, or premature awakenings accompanied by daytime impairment or 2) sedative-hypnotic use on most days of the month. Demographics, medical/psychiatric comorbidities, and medications were determined per electronic medical record review. Hierarchical multivariable logistic regression analyses were performed to determine if race, medical/mental health comorbidities, and the potential interaction of race with each comorbid condition were associated with insomnia.

RESULTS

Our sample consisted of 165 veterans (32% Black). The unadjusted prevalence of insomnia was not different between Black and White veterans (42% vs 39%, p=0.68). In adjusted analyses, the association between mood disorder and insomnia varied by race. Depressed White veterans had over 11-times higher predicted odds of insomnia (OR 11.4, p<0.001) than non-depressed White veterans, while depressed Black veterans had 4-times higher predicted odds of insomnia (OR 4.1, p=0.06) than non-depressed Black veterans. Although mood disorder diagnosis was associated with insomnia for both racial groups, White veterans had a stronger association between mood disorder diagnosis and insomnia than Black veterans.

CONCLUSIONS

The relationship between mood disorder diagnosis and insomnia was stronger for White than Black veterans with epilepsy. Future studies are needed to explore mental health symptoms and psychosocial determinants of insomnia with larger samples of minority individuals with epilepsy.

[Research advances in circadian rhythm of epileptic seizures]

The time phase of epileptic seizures has attracted more and more attention. Epileptic seizures have their own circadian rhythm. The same type of epilepsy has different seizure frequencies in different time periods and states (such as sleeping/awakening state and natural day/night cycle). The circadian rhythm of epileptic seizures has complex molecular and endocrine mechanisms, and currently there are several hypotheses. Clarification of the circadian rhythm of epileptic seizures and prevention and administration according to such circadian rhythm can effectively control seizures and reduce the adverse effects of drugs. The research on the circadian rhythm of epileptic seizures provides a new idea for the treatment of epilepsy.

Circadian phase typing in idiopathic generalized epilepsy: Dim light melatonin onset and patterns of melatonin secretion-Semicurve findings in adult patients

OBJECTIVE/BACKGROUND

It has been debated in the literature whether patients with idiopathic generalized epilepsy (IGE) have a distinctive, evening-oriented chronotype. The few questionnaire-based studies that are available in the literature have conflicting results. The aim of our study was to define chronotype in patients with IGE by determining dim light melatonin onset (DLMO).

PATIENTS/METHODS

Twenty adults diagnosed with IGE (grand mal on awakening [GM] in 7 cases and juvenile myoclonic epilepsy in 13 cases) were investigated by means of a face-to-face semistructured sleep interview, Morningness-Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI) questionnaire, and a melatonin salivary test with DLMO determination. Eighteen healthy subjects (HC) and 28 patients affected with cryptogenic focal epilepsy (FE) served as controls.

RESULTS

The mean MEQ score was significantly lower in patients with IGE than that in patients with FE (49.1±5.9 versus 56.1±8.7 P<0.01) but not significantly lower than that in HC (49.1±5.9 versus 49.3±8.6). Midsleep on free days corrected for sleep duration did not differ significantly between the three subject groups (04:59±01:21h, 04:37±01:17h, 04:29±00:52h). The mean DLMO time in patients with IGE (22:13±01:34h) occurred 49min later than that in HC (21.24±1h), and the melatonin surge within the 30-minute time interval after DLMO in patients with IGE was significantly lower than that in HC (1.51±2.7 versus 3.8±3.6pg/mL P=0.045).

CONCLUSIONS

Subjective measures of chronotype do not indicate a definite evening-oriented chronotype in patients with IGE. However, the data concerning endogenous melatonin secretion indicate that patients with IGE tend to have a late circadian phase. Further studies are warranted in order to better define the late pattern of endogenous melatonin secretion in patients with IGE and to ascertain the role of this pattern in influencing behavioral chronotype in these subjects.

Associations of impaired sleep quality, insomnia, and sleepiness with epilepsy: A questionnaire-based case-control study

PURPOSE

The purpose of this study was to document the frequency of sleep problems including poor sleep quality, excessive daytime sleepiness, and insomnia in subjects with epilepsy compared with healthy controls and to determine the factors associated with these sleep disturbances.

METHODS

We recruited 180 patients with epilepsy (age: 43.2 ± 15.6 years, men: 50.0%) and 2836 healthy subjects (age: 44.5 ± 15.0 years, men: 49.8%). Sleep and the anxiety/mood profiles were measured using the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Insomnia Severity Index, Goldberg Anxiety Scale, and Patient Health Questionnaire-9 depression scale. Associations of sleep problems with epilepsy and other factors were tested by multiple logistic regression analysis, adjusted for age, gender, body mass index, alcohol intake, smoking, perceived sleep insufficiency, and habitual snoring.

RESULTS

Sleep disturbances were more common in the group with epilepsy than in the controls (53.3% vs. 25.5%; p<0.001). Poor sleep quality, excessive daytime sleepiness, and insomnia were significantly associated with epilepsy (odds ratio [95% confidence interval]: 3.52 [2.45-5.05], 2.10 [1.41-3.12], 5.91 [3.43-10.16], respectively). Depressive mood, anxiety, and perceived sleep insufficiency contributed to the presence of sleep disturbances. In the group with epilepsy, seizure remission for the past year related to a lower frequency of insomnia, whereas age, sex, type of epilepsy, and number of antiepileptic drugs were not correlated with sleep problems.

CONCLUSION

Epilepsy was significantly associated with the higher frequency of sleep disturbances, which supports the importance of screening sleep problems in patients with epilepsy and providing available intervention.

Chronotype in patients with epilepsy: A controlled study in 60 subjects with late-onset focal epilepsy

Studies based on self-administered questionnaires indicate that most patients with epilepsy are morning-oriented. We aimed to investigate chronotype in patients with epilepsy with late-onset focal epilepsy by combining subjective data with dim light melatonin onset (DLMO) as an objective marker of the circadian phase. Sixty adult patients (mean age 46.5±13.8; 27 males) with late-onset focal epilepsy under pharmacological treatment were prospectively studied. Subjective chronotype was determined using the Morningness-Eveningness Questionnaire (MEQ) and circadian phase through analysis of salivary melatonin secretion, considering 3pg/ml as the dim light melatonin onset (DLMO) threshold. The mean MEQ score was significantly higher in the patients with epilepsy than in the controls, and significantly, more patients had a MEQ score indicative of the morning type (50.0% vs 30.0%, p=0.02). However, no significant differences were found in mean time of DLMO (21:38±01:21 vs 21:26±01:03; p=ns), and DLMO time was in the range indicative of an intermediate chronotype in both patients and controls. Sleep onset and sleep offset phase angles were significantly shorter in the patients. Patients whose global MEQ score identified them as morning types were significantly older than those with an intermediate or evening chronotype, and they had less social jet lag. No difference in epilepsy features and treatments was found between morning-oriented and nonmorning-oriented patients. Our analyses showed that the patients with epilepsy tended to be morning-oriented and to perceive themselves as morning types, even though this was not reflected in their DLMO values which did not differ significantly from those of controls and mostly fell within the intermediate chronotype range. Several factors may considerably influence subjective chronotype. We speculate that, in patients with epilepsy, the disease itself, prompting certain lifestyle choices, including a regular sleep schedule and early bedtime, may induce morning orientation and a morning-type self-perception.

Depressive symptoms predict the quality of sleep in patients with partial epilepsy--A combined retrospective and prospective study

INTRODUCTION

Epilepsy is one of the most common neurological diseases and has many detrimental effects on the patients' well-being as well as sleep quality. The aim of this study was to assess the subjective quality of sleep and influencing factors on subjective sleep quality in patients with partial epilepsy using a combined retrospective and prospective study design.

METHODS

We conducted a combined retrospective and prospective study in patients with partial epilepsy and analyzed subjective ratings of sleep quality in 32 patients (17 female, 15 male; mean age: 40.41 ± 12.67 years, range: 20-64) with partial epilepsy (mean duration of epilepsy diagnosis: 18.31 ± 13.26 years) and 32 healthy gender-matched and age-matched controls. All patients filled out a seizure diary for 90 days, which included the number, duration, and type (partial vs. secondary generalized) of epileptic seizures and intake of antiepileptic and sleep medications. At baseline, all participants completed the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Beck's Depression Inventory (BDI), and Beck Anxiety Inventory (BAI). Poor sleepers were defined by a PSQI score of ≥ 5.

RESULTS

Twenty-three patients (72%) reported 15.17 ± 25.54 seizures in the previous three months, and nine (28%) patients reported being seizure-free. During the 90-day diary period, twenty-two patients (69%) documented a total of 319 epileptic seizures, while ten patients (31%) reported that they were seizure-free. The mean PSQI score of all patients was 4.88 ± 2.92 (range: 1-14) and the mean ESS score was 5.25 ± 2.98 (range: 0-10). The mean PSQI score of the control group was 3.25 ± 1.57 (range: 1-6), and their mean ESS score was 6.72 ± 3.48 (range: 0-14). The comparison of the two groups showed a significantly higher PSQI score in the patient group (t = 2.778, p = 0.008), but no statistically significant difference regarding their ESS score (t = -1.811, p = 0.075). Sixteen (50%) patients were poor sleepers. Good sleepers showed a significantly lower PSQI (2.69 ± 1.08 vs. 7.06 ± 2.49; p < 0.001) and BDI scores (2.38 ± 2.50 vs. 9.63 ± 7.63; p < 0.002) than poor sleepers. Linear regression analysis showed that the BDI score was the significant predictor for the PSQI score (estimate: 0.2019; p = 0.00819) and for the ESS score (estimate: 0.2251; p = 0.0321).

CONCLUSION

In patients with partial epilepsy, a higher depression score was the best predictor for a poor subjective sleep quality and increased daytime sleepiness.