Subjective sleep disturbance in patients with partial epilepsy: a questionnaire-based study on prevalence and impact on quality of life

Differences in factors associated with insomnia symptoms between patients with epilepsy with and without depressive symptoms

OBJECTIVE

To determine if insomnia-related factors differ depending on the presence of depression in patients with epilepsy.

METHODS

This cross-sectional multicenter study collected data on depressive symptoms, insomnia symptoms, and excessive daytime sleepiness, which were defined as a Patient Health Questionnaire-9 (PHQ-9) score of ≥ 10, an Insomnia Severity Index (ISI) score of ≥ 15, and an Epworth Sleepiness Scale (ESS) of ≥ 11, respectively. Further, uncontrolled seizures were defined as one or more seizures per month during antiseizure medications treatment. A stepwise logistic regression analysis was conducted, with a logistic regression with interaction terms performed to identify differences in insomnia-related factors depending on depressive symptoms.

RESULTS

Of 282 adults with epilepsy (men, 58 %; mean age, 40.4 ± 13.9 years), a PHQ-9 score ≥ 10, an ISI score ≥ 15, an ESS score ≥ 11 were noted in 23.4 % (n = 66), 20.2 % (n = 57), and 12.8 % (n = 36), respectively. More patients with depressive symptoms had an ISI score ≥ 15 (56.1 % vs. 9.3 %; p < 0.001) than those without. In multiple logistic regression, uncontrolled seizures (odds ratio [OR], 4.896; p < 0.01), daytime sleepiness (OR, 5.369; p < 0.05), and a history of psychiatric disorders (OR, 3.971; p < 0.05) were identified as significant factors that were more likely to be associated with an ISI score ≥ 15; however, this was only true in patients without depressive symptoms. In contrast, use of perampanel (OR, 0.282; p < 0.05) was less likely associated, while female sex (OR, 3.178; p < 0.05) was more likely associated with an ISI score ≥ 15 only in patients with depressive symptoms.

CONCLUSIONS

Insomnia-related factors in patients with epilepsy may differ between patients with and without depression. Our findings of different insomnia-related factors based on the presence of depression may facilitate the management of patients with epilepsy.

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.

Quality of life in people with epilepsy: The associations of anti-seizure medications and biopsychosocial variables

People with epilepsy, on average, experience lower quality of life (QOL) than healthy controls. This study examined the associations between specific anti-seizure medications, biopsychosocial factors, and QOL in people with epilepsy. Analysis of covariance revealed that individuals taking three or more anti-seizure medications had significantly lower QOL than those taking levetiracetam. Findings also demonstrated that when examining biopsychosocial factors as predictors of QOL in hierarchical regression, anxiety, depression, and daytime sleepiness were significant predictors of QOL. Once these factors were entered into the model, number of medications was no longer significant. The final model predicted 59.6% of the variance in QOL. In clinical settings, providers should take a patient-centered approach that includes regular assessment of QOL and an emphasis on good psychological care for those coping with anxiety, depression, and sleep difficulty. These findings underscore the importance of addressing psychological health and sleep factors within the epilepsy population.

Influence of sleep disturbance, depression, anxiety, and stress on quality of life in people with epilepsy

OBJECTIVES

We assessed the quality of life, sleep, depression, anxiety, and stress in people with pharmacoresistant epilepsy (PRE) and newly diagnosed epilepsy (NDE). We also assessed the influence of sleep, depression, anxiety, and stress on the quality of life (QOL) and the complex association between these factors.

METHODS

We recruited 80 PRE and 70 NDE people attending the epilepsy clinic. We assessed QOL, sleep quality, daytime sleepiness, and mood using the quality of life in epilepsy-31 inventory (QOLIE-31), Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), and depression anxiety stress scale (DASS-21). We compared the results between the two groups of epilepsy populations. We performed univariate and multivariate linear regression to determine the factors affecting the QOLIE-31 total score. We applied Spearman's rank correlation to find the interrelationship between variables influencing QOL.

RESULTS

We found significantly lower QOLIE-31 total scores (p = .001) in PRE compared to NDE. The PSQI and ESS did not differ significantly between the PRE and NDE groups. Anxiety (p = .002) and stress (p = .003) scores were significantly higher in PRE than in NDE. QOLIE-31 total scores showed a negative correlation with PSQI as well as symptoms of depression, anxiety, and stress scores in both groups. Multiple linear regression analysis revealed depression as a major factor influencing the QOLIE-31 total score in PRE (p = .001) and NDE (p = .003). We found significant complex associations between PSQI, depression, anxiety, stress, and QOLIE total scores in both groups.

SIGNIFICANCE

The QOL is poorer for people with PRE than for those with NDE. Depression is a major determinant of QOL in PWE. These factors need to be considered to improve the QOL in epilepsy.

The effect of sleep disorders on quality of life in patients with epilepsy: A multicenter study from Turkey

OBJECTIVE

We aimed to investigate sleep disorders in patients with epilepsy (PWE) and to investigate the effects of sleep disorders on quality of life.

METHODS

In our multicenter study conducted in Turkey, 1358 PWE were evaluated. The demographic and clinical data of the patients were recorded. The Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and Quality of Life in Epilepsy Inventory-10 (QOLIE-10) were administered.

RESULTS

The mean age of 1358 patients was 35.92 ± 14.11 (range, 18-89) years. Seven hundred fifty-one (55.30 %) were women. Some 12.7 % of the patients had insomnia (ISI > 14), 9.6 % had excessive daytime sleepiness (ESS > 10), 46.5 % had poor sleep quality (PSQI > 5), and 354 patients (26.1 %) had depressive symptoms (BDI > 16). The mean QOLIE-10 score was 22.82 ± 8.14 (10-48). Resistant epilepsy was evaluated as the parameter with the highest risk affecting quality of life Adjusted odds ratio (AOR = 3.714; 95 % confidence interval (CI): [2.440-5.652] < 0.001)). ISI (AOR = 1.184; 95 % CI: [1.128-1.243]; p < 0.001), ESS (AOR = 1.081; 95 % CI: [1.034-1.130]; p < 0.001), PSQI (AOR = 0.928; 95 % CI: [0.867 - 0.994]; p = 0.034), BDI (AOR = 1.106; 95 % CI: [1.084-1.129]; p < 0.001), epilepsy duration (AOR = 1.023; 95 % CI: [1.004-1.041]; p = 0.014), were determined as factors affecting quality of life.

SIGNIFICANCE

Sleep disorders are common in PWE and impair their quality of life. Quality of life can be improved by controlling the factors that may cause sleep disorders such as good seizure control, avoiding polypharmacy, and correcting the underlying mood disorders in patients with epilepsy.

Sleep and Epilepsy

The relationship between sleep and epilepsy is both intimate and bidirectional. The molecular mechanisms which control circadian rhythm and the sleep/wake cycle are dysregulated in epileptogenic tissue and are themselves effected by molecular pathways for epilepsy. Sleep affects the frequency of interictal epileptiform discharges and recent research has raised new questions regarding the impact of discharges on sleep function and cognition. Epileptiform discharges themselves affect sleep architecture and increase the risk of sleep disorders. Several sleep-related epilepsy syndromes have undergone changes in their classification which highlights their intimate relationship to sleep and novel screening tools have been developed to help clinicians better differentiate epileptic seizures from sleep-related paroxysmal events. Improving sleep and addressing sleep disorders has been associated with improved seizure control and increased well-being in people with epilepsy. These interactions are discussed in detail in this review.

The prevalence and predictors of poor sleep quality and excessive daytime sleepiness in epilepsy: A single tertiary centre experience in Malaysia

BACKGROUND AND OBJECTIVE

People with epilepsy frequently encounter sleep disruptions that can stem from a variety of complex factors. Epilepsy-related sleep disturbance can lead to reduced quality of life and excessive daytime hypersomnolence. Identification of sleep disturbances may help in the overall management of epilepsy patients. This study was conducted to determine the prevalence and predictors of poor sleep quality and daytime sleepiness in epilepsy.

METHODS

A cross-sectional study on 284 epilepsy patients was performed in a local tertiary centre. The demographic and clinical epilepsy data were collected. The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaires were utilised to determine the quality of life and daytime hypersomnolence of epilepsy patients, respectively.

RESULTS

Poor sleep quality was reported in 78 (27.5%) patients while daytime hypersomnolence was present in 17 (6%) patients. The predictors of poor sleep quality include structural causes (OR = 2.749; 95% CI: 1.436, 5.264, p = 0.002), generalised seizures (OR = 1.959, 95% CI: 1.04, 3.689, p = 0.037), and antiseizure medications such as Carbamazepine (OR = 2.34; 95% CI: 1.095, 5.001, p = 0.028) and Topiramate (OR 2.487; 95% CI: 1.028, 6.014, p = 0.043). Females are 3.797 times more likely score higher in ESS assessment (OR 3.797; 95% CI: 1.064, 13.555 p = 0.04).

DISCUSSION

Sleep disturbances frequently coexist with epilepsy. Patients should be actively evaluated using the PSQI and ESS questionnaires. It is imperative to identify the key factors that lead to reduced sleep quality and heightened daytime sleepiness in patients with epilepsy, as this is essential to properly manage their condition.

Sleep and epilepsy: A clinical and pathophysiological overview

The interaction between sleep and epilepsy is complex. A better understanding of the mechanisms linking sleep and epilepsy appears increasingly important as it may improve diagnosis and therapeutic strategies in patients with epilepsy. In this narrative review, we aim to (i) provide an overview of the physiological and pathophysiological processes linking sleep and epilepsy; (ii) present common sleep disorders in patients with epilepsy; (iii) discuss how sleep and sleep disorders should be considered in new therapeutic approaches to epilepsy such as neurostimulation; and (iv) present the overall nocturnal manifestations and differential diagnosis between epileptic seizures and parasomnia.

Mild to moderate increases in activity are associated with increased seizure incidence in dogs with idiopathic epilepsy receiving anti-epileptic drugs

OBJECTIVE

Epilepsy is a chronic disorder, and approximately 25% to 30% of dogs with epilepsy are refractory to anti-epileptic drugs. As increased activity has been shown to reduce seizure frequency in people with epilepsy, the goal of this study was to evaluate the relationship between deviation from baseline activity and seizure incidence in dogs with epilepsy.

MATERIALS AND METHODS

Activity and seizure data were obtained using a canine activity monitoring device and owner observed seizure logs in 53 dogs with idiopathic epilepsy receiving anti-epileptic drugs. Each dog's activity was individually measured, and 14-day baseline averages were calculated. Logistic regression was performed to evaluate how an observed increase in activity, ranging from 0% to 50%, above baseline activity, affects the incidence of a seizure in the following 24 hours.

RESULTS

A total of 8540 activity days and 365 seizure days were used in the final analysis with an average of 11 seizures per dog (range 0 to 30 seizures). Seizure incidence was significantly more likely when activity was 10%, 20%, or 30% above baseline activity in the 24 hours before the day of a documented seizure [95% confidence interval (1.02 to 1.60), P=0.033; 95% confidence interval (1.08 to 1.80), P=0.010; 95% confidence interval (1.13 to 2.07), P=0.005, respectively]. However, when activity levels were 40% and 50% above baseline, the effect diminished (95% confidence interval (0.74 to 1.70), P=0.532; or 95% confidence interval (0.56 to 1.66), P=0.988, respectively).

CLINICAL SIGNIFICANCE

Differently than in humans, this study demonstrated that a mild to moderate increase in activity resulted in a higher seizure incidence within 24 hours in dogs with epilepsy.

Quality of Life in Pediatrics With Intractable Epilepsy at King Abdulaziz Medical City, Jeddah, Saudi Arabia: A Cross-Sectional Study

Objective The aim of this study was to assess the cognitive, emotional, social, and physical domains of quality of life (QoL) in pediatric patients with intractable epilepsy with an emphasis on depressed mood and suicidal ideation (SI). Methods This is a cross-sectional study conducted in pediatric neurology outpatient clinics in King Abdulaziz Medical City, Jeddah, Saudi Arabia. The sample consisted of 59 parents whose children aged 4-14 years of either sex had intractable epilepsy. The Quality of Life in Childhood Epilepsy Questionnaire - 55 (QOLCE-55) scale examined four domains of life: cognitive, emotional, social, and physical. Depressed mood and SI were part of the emotional domain. Results  The mean ± SD age of children was 8.2 ± 3.25. The mean ± SD of overall QoL was 43.02 ± 15.70, which reflected a poor QoL. Age was not related to the QoL. Female gender was significantly associated with a lower overall QoL (P = 0.0477). Patients with comorbidities had statistically insignificant lower QoL in the cognitive, social, and physical domains in addition to lower overall QoL. Seven of nine participants who reported feeling down reported having SI in the last four weeks (P < 0.001). Conclusions An intractable epilepsy-imposed burden negatively impacts all domains of QoL. Furthermore, females experience lower overall QoL compared to males. Children with comorbidities also tend to have lower QoL scores, although the differences were statistically insignificant. Additionally, a history of feeling down is associated with SI.

Reduced epilepsy development in synapsin 2 knockout mice with autistic behavior following early systemic treatment with interleukin-6 receptor antibody

BACKGROUND

Individuals with autism spectrum disorder (ASD) have an increased risk of developing epilepsy. Both ASD and epilepsy have been associated with increased levels of immune factors in the blood, including the proinflammatory cytokine interleukin 6 (IL-6). Mice lacking the synapsin 2 gene (Syn2 KO) exhibit ASD-like behavior and develop epileptic seizures. Their brains display neuroinflammatory changes including elevated IL-6 levels. We aimed to investigate the effect of systemic IL-6 receptor antibody (IL-6R ab) treatment on seizure development and frequency in Syn2 KO mice.

MATERIAL AND METHODS

Weekly systemic (i.p.) injections of IL-6R ab or saline were given to Syn2 KO mice starting either early in life at 1 month of age, before seizure debut or at 3 months of age, directly after seizure debut and continued for 4 or 2 months, respectively. Seizures were provoked by handling the mice three times per week. The neuroinflammatory response and synaptic protein levels in the brain were determined by ELISA, immunohistochemistry and western blots. In an additional group of Syn2 KO mice, with IL-6R ab treatment early in life, ASD-related behavioral tests including social interaction and repetitive self-grooming, as well as cognitive memory and depressive-/anxiety-like tests, and actigraphy measurements of circadian sleep-awake rhythm were analyzed.

RESULTS

The IL-6R ab treatment reduced seizure development and frequency in Syn2 KO mice when initiated before, but not after, seizure debut. However, early treatment did not reverse the neuroinflammatory response or the imbalance in synaptic protein levels in the brain previously reported in Syn2 KO mice. The treatment did not affect social interaction, performance in memory, depressive-/anxiety-like tests or the sleep-awake rhythm of Syn2 KO mice.

CONCLUSION

These findings suggest the involvement of IL-6 receptor signaling during epilepsy development in Syn2 KO mice, without significant alterations of the immune reaction in the brain, and independently of cognitive performance, mood and circadian sleep-awake rhythm.

Effect of an intervention of exercise on sleep and seizure frequency in idiopathic epileptic dogs

OBJECTIVE

The goal of this study was to compare sleep and seizure frequency between epileptic dogs prescribed a 20% activity increase and epileptic dogs not prescribed an activity increase.

METHODS

Sixty-nine dogs receiving anti-epileptic drug therapy were enrolled in a 6-month prospective, randomised, placebo-controlled clinical trial with an intention-to-treat analysis. A canine activity monitoring device was used to measure activity levels and sleep scores.

RESULTS

Using an intention-to-treat analysis, the treatment group had an average of 0.381 more seizures per month (95% CI: 0.09 to 0.68) compared with the control group, although the difference in seizure days per month was not statistically significant. In a subgroup analysis of dogs whose activity increased by at least 10%, partial compliers had 0.719 more seizures per month (95% CI: 0.22 to 1.22) and 0.581 seizure days per month (95% CI: 0.001 to 1.16) compared with the control group. Sleep scores increased by 1.2% in the treatment compared with the control group (95% CI: 0.2 to 2.3%).

CONCLUSIONS

Seizure frequency and sleep score increased slightly, but significantly, in dogs with idiopathic epilepsy prescribed an increase in activity, compared with a control group.

Insomnia and poor sleep quality are associated with poor seizure control in patients with epilepsy

OBJECTIVES

This study aimed to assess the presence of sleep disorders in patients with epilepsy and to analyse their association with seizure control.

METHODS

We performed a cross-sectional study of patients with epilepsy, recruited consecutively between September 2017 and December 2018. Patients were classified as having good seizure control (no seizures in the last 4 weeks) or poor seizure control (at least one seizure in the last 4 weeks). We performed intergroup comparisons for demographic and clinical data, insomnia (Insomnia Severity Index [ISI]), excessive daytime sleepiness (Epworth Sleepiness Scale [ESS]), sleep quality (Pittsburgh Sleep Quality Index [PSQI]), depression (Beck Depression Inventory-II [BDI-II]), and quality of life (Quality of Life in Epilepsy Inventory-10 [QOLIE-10]).

RESULTS

The sample included a total of 123 patients, of whom 31.7% had excessive daytime sleepiness (ESS≥10), 50.4% had insomnia (ISI≥10), and 53.6% had poor sleep quality (PSQI≥5). According to our multivariate analysis, presence of seizures was associated with unemployment (odds ratio [OR]=4.7; 95% confidence interval [CI], 1.36-19.2; P=.02), a higher number of antiepileptic drugs (OR=5.87; 95% CI, 1.81-27.1; P<.001), insomnia (OR=1.9; 95% CI, 1.1-9.3; P=.04), and poor sleep quality (OR=2.8; 95% CI, 1.9-10.32; P=.01).

CONCLUSIONS

Sleep disorders are common in patients with epilepsy. Insomnia and poor sleep quality were associated with poor seizure control. These findings support the hypothesis that sleep disorders constitute a significant comorbidity of epilepsy, especially in patients with poor seizure control.

Effects of Anti-Seizure Medication on Sleep Spindles and Slow Waves in Drug-Resistant Epilepsy

There is a close bidirectional relationship between sleep and epilepsy. Anti-seizure medications (ASM) act to reduce seizure frequency but can also impact sleep; this remains a relatively unexplored field given the importance of sleep on seizure occurrence, memory consolidation, and quality of life. We compared the effect of poly-ASM treatment on a night of sleep compared to an unmedicated night in patients with drug-resistant epilepsy, where ASMs were withdrawn and later restored as part of their pre-surgical evaluation. Within-subject analysis between medicated and unmedicated nights showed ASMs increased spindle (11-16 Hz) power and decreased slow wave (0.1-2 Hz) amplitude. Spindles became less strongly coupled to slow waves in the ASM night compared to no-ASM night, with effects to both the phase and strength of coupling and correlated with slow wave reduction. These effects were not seen in age-matched controls from the same unit where ASMs were not changed between two nights. Overall, we found that ASM polytherapy not only changed specific sleep waveforms, but also the fine interplay of spindle/slow wave coupling. Since these sleep oscillations impact both seizure occurrence and memory consolidation, our findings provide evidence towards a decoupling impact of ASMs on sleep that should be considered in future studies of sleep and memory disruption in people with epilepsy.

The interaction between circadian rhythm and epilepsy

Evidence about the interaction between circadian rhythms (CR) and epilepsy has been expanded with the application of advanced detection technology. An adequate understanding of how circadian system and epilepsy interact with each other could contribute to more accurate seizure prediction as well as rapid development of potential treatment timed to specific phases of CR. In this review, we present the reciprocal relationship between CR and epileptic activities from aspects of sleep effect, genetic modulation and brain biochemistry. It has been found that sleep-wake patterns, circadian timing systems and multidien rhythms have essential roles in seizure activities and interictal epileptiform discharge (IED). For instance, specific distribution patterns of seizures and IED have been reported, i.e., lighter non-rapid eye movement (NREM) sleep stage (stage 2) induces seizures while deeper NREM sleep stage (stage 3) activates IEDs. Furthermore, the epilepsy type, seizure type and seizure onset zone can significantly affect the rhythms of seizure occurrence. Apart from the common seizure types, several specific epilepsy syndromes also have a close correlation with sleep-wakefulness patterns. Sleep influences the epilepsy rhythm, and conversely, epilepsy alters the sleep rhythm through multiple pathways. Clock genes accompanied by two feedback loops of regulation have an important role in cortical excitability and seizure occurrence, which may be involved in the mTORopathy. The suprachiasmatic nuclei (SCN) has a rhythm of melatonin and cortisol secretion under the circadian pattern, and then these hormones can feed back into a central oscillator to affect the SCN-dependent rhythms, leading to variable but prominent influence on epilepsy. Furthermore, we discuss the precise predictive algorithms and chronotherapy strategies based on different temporal patterns of seizure occurrence for patients with epilepsy, which may offer a valuable indication for non-invasive closed-loop treatment system. Optimization of the time and dose of antiseizure medications, and resynchronization of disturbed CR (by hormone therapy, light exposure, ketogenic diet, novel small molecules) would be beneficial for epileptic patients in the future. Before formal clinical practice, future large-scale studies are urgently needed to assist prediction and treatment of circadian seizure activities and address unsolved restrictions.

Effects of insomnia and levels of depression and anxiety symptoms on quality of life in people with epilepsy

OBJECTIVES

The association between insomnia and quality of life (QOL) in epilepsy is poorly understood and may involve interactive variables. We aimed to investigate whether and how insomnia, levels of depression and anxiety symptoms interact to influence QOL in people with epilepsy (PWE).

METHODS

A consecutive cohort of 179 PWE was enrolled. We collected data on insomnia, levels of depression and anxiety symptoms, and QOL. The Insomnia Severity Index (ISI), Depression Inventory for Epilepsy (NDDI-E), Generalized Anxiety Disorder-7 (GAD-7), and QOL in Epilepsy Inventory (QOLIE-31) were used. The direct, indirect, and total effects of insomnia on QOL were estimated based on a moderated mediation model.

RESULTS

Depression symptom levels mediated the association between insomnia and QOL (B = 0.09 SE = 0.03, p = 0.01). Depression symptom levels accounted for 34.7% of the total effect of insomnia on QOL. The mediating effect of depression symptom levels was positively moderated by anxiety symptom levels (B = 0.09, SE = 0.03, p = 0.01).

CONCLUSION

The effect of insomnia on QOL can be partially explained by the mediation of depression symptom levels. Additionally, improving anxiety symptoms may attenuate the indirect effect of insomnia on QOL through depression symptom levels.

Parental Sleep, Distress, and Quality of Life in Childhood Acute Lymphoblastic Leukemia: A Longitudinal Report from Diagnosis up to Three Years Later

This study assessed sleep, distress and quality of life (QoL) in parents of children with acute lymphoblastic leukemia (ALL) from diagnosis to three years after, and the impact of sleep and distress on QoL. Additionally, this study explored determinants of sleep and distress. Parents completed the MOS Sleep, Distress Thermometer for Parents and SF-12 at four-five months (T0), one year (T1), two years (T2), and three years (T3) after diagnosis. The course of outcomes and longitudinal impact of clinically relevant sleep problems (>1SD above reference’s mean) and clinical distress (score ≥ 4) on QoL Z-scores were assessed with linear mixed-models. Determinants of sleep and distress were assessed with multinomial mixed-models. Parents (81% mothers) of 139 patients (60% males; 76% medium-risk (MR)) participated. Distress and QoL gradually restored from T0 to T3. Sleep problems improved, but were still elevated at T3: 33% reported clinically relevant sleep problems, of which 48% in concurrence with distress. Over time, presence of sleep problems or distress led to lower mental QoL Z-scores (SD-score −0.2 and −0.5, respectively). Presence of both led to a cumulatively lower Z-score (SD-score −1.3). Parents in the latter group were more likely to report insufficient social support, parenting problems, a chronic illness, pain for their child, having a child with MR-ALL, and being closer to diagnosis. In conclusion, parental well-being improves over time, yet sleep problems persist. In combination with ongoing distress, they cumulatively affect QoL. Special attention should be given to parents who are vulnerable to worse outcomes.

Gender differences in prevalence and risk factors of sleep disturbances in patients with epilepsy

Background

Sleep disturbances are frequently observed in patients with epilepsy (PWE), with adversely effects on life quality and seizure control. The study aimed to assess the gender differences in incidence and factors of sleep disturbances in PWE.

Methods

PWE confirmed the diagnosis of epilepsy were consecutively enrolled in this cross-sectional study, with detailed information recorded. A group of healthy participants were recruited as the control. Sleep and mood disorders were evaluated with the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI).

Results

One hundred and thirty-three patients (age: 30.2 ± 10.6 years, men: 51%) and 150 healthy subjects were recruited in this study. Compared with healthy controls, PWE had higher mean scores of the ISI and BDI (p < 0.001 and p = 0.01). There were no significant gender differences in the prevalence and scores of sleep disturbances in PWE. In the overall PWE, nocturnal seizures and focal epilepsy were respectively related to insomnia and poor sleep quality (OR = 3.35, p = 0.024; OR = 3.08, p = 0.013), and mood disorders were also important factors in sleep disturbances (p < 0.05). In the analysis by gender, depression, anxiety, nocturnal seizures and focal epilepsy were associated with insomnia and poor sleep quality in men. For women, however, depression mood was the only factor of sleep disturbances.

Conclusions

Though no gender difference was observed in the incidence of sleep disturbances, factors contributing to insomnia and sleep quality were different by gender. The factors and gender differences of sleep disturbances should be taken into account in the clinical treatment.

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.

Reduced Sleep Quality Is Related to Poor Quality of Life in Patients with Juvenile Myoclonic Epilepsy, a Case-Control Study

Juvenile myoclonic epilepsy (JME) is a primary generalized epilepsy which is closely related to the sleep-wake cycle. This study aimed to investigate whether sleep disturbance is more common among patients with JME and the impact this may have on their quality of life (QOL). Thirty-four patients with JME and age- and gender-matched controls were recruited into this case control study, and assessed using validated sleep questionnaires including the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Stanford Sleepiness Scale (SSS). QOL was assessed using the Quality of Life in Epilepsy Inventory (QOLIE-31). The patients had a significantly higher PSQI score and higher proportion of abnormal PSQI scores than the controls. They also had higher ESS and SSS scores, but without statistical significance. The patients with poor sleep quality had significantly lower overall QOL, emotional well-being, and energy/fatigue subscale scores. The use of a higher number of antiseizure medications, dosage of levetiracetam, and usage of antiseizure medication polytherapy were associated with sleep disorders. Our results showed that sleep disturbance is common in patients with JME, and also that it has an impact on their QOL.

Diffusion Abnormality in Temporal Lobe Epilepsy Patients With Sleep Disorders: A Diffusion Kurtosis Imaging Study

BACKGROUND

Patients with temporal lobe epilepsy (TLE) frequently complain of poor sleep quality, which is a condition that clinicians are typically neglecting. In this study, Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Athens Insomnia Scale (AIS) were used to assess the sleep status of patients with temporal lobe epilepsy (TLE). Simultaneously diffusion kurtosis imaging (DKI) was applied to examine the white matter microstructure abnormalities in patients with TLE and sleep disorders.

METHODS

TLE patients who have been diagnosed in the cardio-cerebrovascular ward of the Yanan University Affiliated Hospital from October 2020 to August 2021 were recruited. Finally, 51 patients and 30 healthy controls were enrolled in our study, with all subjects completing the sleep evaluation questionnaire and undergoing a DKI examination. Using independent sample t-test, analysis of variance (ANOVA), and Mann-Whitney U test to compare groups.

RESULTS

Thirty patients (58.82%) complained of long-term sleep difficulties. The overall differences among the evaluation of AIS, ESS, and PSQI are significant (P = 0.00, P = 0.00, P = 0.03). The scores of AIS, ESS in Left and Right-TLE (L/R-TLE) with sleep disorders, as well as PSQI in L-TLE, are statistically higher than the control group (P = 0.00, P = 0.00, P = 0.00, P = 0.00, P = 0.02). L-TLE with sleep disorders showed decreased MK on affected sides (P = 0.01). However, statistical differences in MD and FA have not been observed (P = 0.34, P = 0.06); R-TLE with sleep disorders showed significantly decreased MK and increased MD on affected sides (P = 0.00, P = 0.00), but FA's statistical difference has not been observed (P = 0.20).

CONCLUSIONS

TLE patients with sleep disorders have different DKI parameters than individuals who do not have sleep issues. During this process, the kurtosis parameter (MK) was more sensitive than the tensor parameters (MD, FA) in detecting the patient's aberrant white matter diffusion. DKI may be a better choice for in vivo investigation of anomalous craniocerebral water diffusion.

High prevalence of pathological alertness and wakefulness on maintenance of wakefulness test in adults with focal-onset epilepsy

BACKGROUND

Excessive daytime sleepiness (EDS) is a common complaint in adults with epilepsy (AWE), but objective evaluation is lacking. We used the maintenance of wakefulness test (MWT) to objectively measure the ability of adults with focal-onset epilepsy to maintain wakefulness in soporific conditions.

METHODS

Adults with epilepsy participating in a study investigating the effects of lacosamide on sleep and wakefulness underwent baseline ambulatory polysomnography (PSG)/EEG followed by MWT. Mean sleep latency (MSL) and mean percent sleep time (MST, mean percentage of non-wake EEG scored in 3-sec bins from lights out to sleep onset averaged over the 4 MWT trials) were quantified. Subjective sleepiness was assessed by the Epworth Sleepiness Scale (ESS). Spearman correlation and linear regression assessed relationships between MWT parameters, ESS and relevant sleep and epilepsy-related variables.

RESULTS

Maintenance of wakefulness test MSL in 51 AWE (mean age 43.5 ± 13 years, 69% female, mean BMI 24.6 ± 11.2 kg/m²) was 21.7 ± 11.9 min; 45.1% had an abnormally short MSL <19.4 min and 15.7% <8 min. MST was 9.3% [3.3, 19.1]. Mean ESS score was 8.8 ± 5.7; 39% had elevated ESS (>10). No correlation between subjective ESS and objective MSL (p = 0.67) or MST (p = 0.61) was found. MSL was significantly shorter in subjects with focal to bilateral tonic-clonic seizures (FBTCS; 7.9 min [13.6, 22.3]) compared to those without (27.4 min [21.2, 33.6], p = 0.013). Younger subjects had shorter MSL; MSL increased 3.2 min for every 10-year increase in age.

CONCLUSION

We found a high prevalence of objective sleepiness/difficulty maintaining wakefulness on the MWT and subjective sleepiness using the ESS in AWE without a correlation between the two. More severe objective sleepiness was found in subjects with a history of FBTCS and younger age. Further research is needed to determine mechanistic underpinnings and optimal measurements of pathological sleepiness in people with epilepsy given the burden of it on quality of life.

Sleep Disruption Worsens Seizures: Neuroinflammation as a Potential Mechanistic Link

Sleep disturbances, such as insomnia, obstructive sleep apnea, and daytime sleepiness, are common in people diagnosed with epilepsy. These disturbances can be attributed to nocturnal seizures, psychosocial factors, and/or the use of anti-epileptic drugs with sleep-modifying side effects. Epilepsy patients with poor sleep quality have intensified seizure frequency and disease progression compared to their well-rested counterparts. A better understanding of the complex relationship between sleep and epilepsy is needed, since approximately 20% of seizures and more than 90% of sudden unexpected deaths in epilepsy occur during sleep. Emerging studies suggest that neuroinflammation, (e.g., the CNS immune response characterized by the change in expression of inflammatory mediators and glial activation) may be a potential link between sleep deprivation and seizures. Here, we review the mechanisms by which sleep deprivation induces neuroinflammation and propose that neuroinflammation synergizes with seizure activity to worsen neurodegeneration in the epileptic brain. Additionally, we highlight the relevance of sleep interventions, often overlooked by physicians, to manage seizures, prevent epilepsy-related mortality, and improve quality of life.

Sleep fragmentation and decreased REM sleep in a primate model of diurnal cortical seizures

Many people with epilepsy suffer from comorbid sleep disorders and sleep fragmentation. While the disruptive nature of seizures on sleep is well documented, it is unclear how diurnal seizures impact sleep quality and for how long these changes persist during the following nights. To better understand this relationship, the sleep architecture of two rhesus macaques were studied before and several nights after penicillin-induced diurnal seizures. These focal seizures stopped naturally, and none occurred at night. We scored sleep-stage during the nights immediately following the seizures, as well as several nights after seizure induction. We noted a significant increase in movement along with a decrease in sleep efficiency, both limited to the night of seizure induction. For both animals, we observed a significant decrease in the number of REM periods that manifested as a decrease in total REM sleep duration, and this phenomenon persisted up to 2 nights after the seizures. We also found a significant increase in the probability to transition from stage N2 to stage N1 on the night of the seizures. This study shows for the first time that the NHP model of penicillin-induced cortical seizures exhibits significant changes in sleep architecture, including an increase in nocturnal movement, change in sleep architecture and a prolonged decrease in REM activity. The prolonged decrease in REM periods compared to the temporary enhanced movement and reduction of sleep efficiency suggest that these seizures may affect two neural circuits, one controlling REM sleep entry and the other controlling nocturnal wakefulness.

Insomnia and poor sleep quality are associated with poor seizure control in patients with epilepsy

OBJECTIVE

This study aimed to assess the presence of sleep disorders in patients with epilepsy and to analyse their association with seizure control.

METHODS

We performed a cross-sectional study of patients with epilepsy, recruited consecutively between September 2017 and December 2018. Patients were classified as having good seizure control (no seizures in the last 4 weeks) or poor seizure control (at least one seizure in the last 4 weeks). We performed intergroup comparisons for demographic and clinical data, insomnia (Insomnia Severity Index [ISI]), excessive daytime sleepiness (Epworth Sleepiness Scale [ESS]), sleep quality (Pittsburgh Sleep Quality Index [PSQI]), depression (Beck Depression Inventory-II [BDI-II]), and quality of life (Quality of Life in Epilepsy Inventory-10 [QOLIE-10]).

RESULTS

The sample included a total of 123 patients, of whom 31.7% had excessive daytime sleepiness (ESS ≥ 10), 50.4% had insomnia (ISI ≥ 10), and 53.6% had poor sleep quality (PSQI ≥ 5). According to our multivariate analysis, presence of seizures was associated with unemployment (odds ratio [OR] = 4.7; 95% confidence interval [CI], 1.36-19.2; P = .02), a higher number of antiepileptic drugs (OR = 5.87; 95% CI, 1.81-27.1; P < .001), insomnia (OR = 1.9; 95% CI, 1.1-9.3; P = .04), and poor sleep quality (OR = 2.8; 95% CI, 1.9-10.32; P = .01).

CONCLUSIONS

Sleep disorders are common in patients with epilepsy. Insomnia and poor sleep quality were associated with poor seizure control. These findings support the hypothesis that sleep disorders constitute a significant comorbidity of epilepsy, especially in patients with poor seizure control.

Sleep duration and quality among U.S. adults with epilepsy: National Health Interview Survey 2013, 2015, and 2017

BACKGROUND

Epilepsy is associated with a high prevalence of sleep disturbance. However, population-based studies on the burden of sleep disturbance in people with epilepsy are limited. This study assessed sleep duration and sleep quality by epilepsy status in the general U.S. adult population aged ≥ 18 years.

METHODS

We pooled data of cross-sectional National Health Interview Surveys in 2013, 2015, and 2017 to compare the prevalence of sleep duration and quality among those without epilepsy (N = 93,126) with those with any epilepsy (a history of physician-diagnosed epilepsy) (N = 1774), those with active epilepsy (those with a history of physician-diagnosed epilepsy who were currently taking medication to control it, had one or more seizures in the past year, or both) (N = 1101), and those with inactive epilepsy (those with a history of physician-diagnosed epilepsy who were neither taking medication for epilepsy nor had had a seizure in the past year) (N = 673). We also compared these measures between those with active and those with inactive epilepsy. The prevalences were adjusted for sociodemographics, behaviors, and health covariates, with multivariable logistic regression. We used Z-tests to compare prevalences of sleep duration and quality at the statistical significance level of 0.05.

RESULTS

Adults with any epilepsy reported significantly higher adjusted prevalences of short sleep duration (<7 h) (36.0% vs. 31.8%) and long sleep duration (>9 h per day) (6.7% vs. 3.7%) but a lower prevalence of healthy sleep duration (7-9 h per day) (57.4% vs.64.6%) than those without epilepsy. In the past week, adults with any epilepsy reported significantly higher adjusted prevalences than adults without epilepsy of having trouble falling asleep (25.0% vs. 20.3%), staying asleep (34.4% vs. 26.3%), nonrestorative sleep (adults did not wake up feeling well rested) (≥3days) (50.3% vs. 44.3%), and taking medication to help themselves fall asleep or stay asleep (≥1 times) (20.9% vs. 13.5%). However, adults with active epilepsy did not differ from adults with inactive epilepsy with respect to these sleep duration and quality measures.

CONCLUSIONS

Adults with epilepsy reported more short or long sleep duration and worse sleep quality than those without epilepsy. Neither seizure occurrence nor antiepileptic drug use accounted for these differences in sleep duration and quality. Careful screening for sleep complaints as well as identifying and intervening on the modifiable risk factors associated with sleep disturbances among people with epilepsy could improve epilepsy outcomes and quality of life.

Risk Factors for Epilepsy: A National Cross-Sectional Study from National Health and Nutrition Examination Survey 2013 to 2018

Objective

The purpose of this study is to investigate the risk factors of epilepsy based on the National Health and Nutrition Examination Survey (NHANES).

Methods

The data in this study was obtained from the NHANES database between 2013 and 2018. It included 14,290 participants aged between 20 and 80. We defined people with epilepsy (PWE) when they self-reported took at least one treatment medication for seizures or epilepsy. Analysis of risk factors for epilepsy mainly includes Student’s t-test, chi-square test, univariate and multivariate logistic regression analysis.

Results

People aged 40–59 shared 1.8 times the risk of epilepsy than those who aged 20–39, P=0.034. People who never married had a 2.8-fold higher risk of epilepsy than those who married/living with partner, P<0.001. The risk of epilepsy in subjects with very good/good general health was 0.4 times than that of subjects with fair/poor general health, P<0.001. Moreover, subjects without sleep disorders had a 0.4-fold higher risk of epilepsy than those who had sleep disorders, P=0.042.

Conclusion

People who are older, unmarried, and have sleep disorders are at higher risk of epilepsy. In addition, good/good general health condition is associated with a lower risk of epilepsy.

The Epworth Sleepiness Scale in epilepsy: Internal consistency and disease-related associations

BACKGROUND

The Epworth Sleepiness Scale (ESS) is the most common instrument for measuring subjective sleep propensity in people with epilepsy but has not yet been validated in this population.

STUDY OBJECTIVES

We aimed to systematically assess the validity, performance, and internal consistency of the ESS, as well as correlations between the ESS and disease-specific variables and patient-reported outcome measures in a cohort of adults with epilepsy (AWE).

METHODS

Ninety-five AWE completed sleep and seizure diaries, in-laboratory polysomnography (PSG) and patient-reported outcome measures, including the ESS, Insomnia Severity Index (ISI), and the Beck Depression Inventory (BDI). Demographic information and data from 95 matched controls referred for PSG for suspected obstructive sleep apnea (OSA) was taken from the electronic medical record. Frequencies of high ESS item ratings (item score ≥2) were calculated for each group. Cronbach's α and factor analysis were performed to assess the internal consistency and validity of the ESS within cases and controls. Multivariable linear models were used to assess the association between ESS and predictors of interest, adjusting for demographic and disease-specific variables, including seizure type, frequency, and anti-seizure medication (ASM) therapy.

RESULTS

While suspected OSA controls had significantly greater mean ESS total scores (9.9 vs 7.9, p = 0.004) and proportion with ESS >10 (42% vs 25%, p = 0.014), there were no significant differences in the severity of item responses, with the exception of "lying down to rest in the afternoon when circumstances permit," for which more controls rated as likely/very likely (79% vs 64%), p = 0.024). AWE with ESS >10 had higher mean standardized ASM dose (2.5 vs 1.7, p = 0.026). All ESS items were significantly correlated with the total score within each group. Cronbach's α was 0.75 for cases and 0.85 for controls, indicating good internal consistency of the ESS for both groups. After adjusting for demographic and sleep characteristics, higher ESS scores were associated with greater insomnia scores on the ISI (p = 0.024) and depressive symptoms on the BDI (p = 0.018).

CONCLUSIONS

This study provides validity for the use of the ESS in adult populations with epilepsy.

Regulation of microRNA Expression in Sleep Disorders in Patients with Epilepsy

The effects of epilepsy on sleep and the activating effects of sleep on seizures are well documented in the literature. To date, many sleep-related and awake-associated epilepsy syndromes have been described. The relationship between sleep and epilepsy has led to the recognition of polysomnographic testing as an important diagnostic tool in the diagnosis of epilepsy. The authors analyzed the available medical database in search of other markers that assess correlations between epilepsy and sleep. Studies pointing to microRNAs, whose abnormal expression may be common to epilepsy and sleep disorders, are promising. In recent years, the role of microRNAs in the pathogenesis of epilepsy and sleep disorders has been increasingly emphasized. MicroRNAs are a family of single-stranded, non-coding, endogenous regulatory molecules formed from double-stranded precursors. They are typically composed of 21–23 nucleotides, and their main role involves post-transcriptional downregulation of expression of numerous genes. Learning more about the role of microRNAs in the pathogenesis of sleep disorder epilepsy may result in its use as a biomarker in these disorders and application in therapy.

Daytime and nocturnal activity in treated dogs with idiopathic epilepsy compared to matched unaffected controls

BACKGROUND

In dogs, antiepileptic drugs (AED) cause lethargy but quantitative data regarding the effects of AED on activity levels are not available, and little is known about how AEDs affect sleep quality.

OBJECTIVE

To quantitatively compare activity levels and nocturnal activity in dogs previously diagnosed with idiopathic epilepsy (IE) receiving AEDs compared to age- and breed-matched control dogs.

ANIMALS

Sixty-two dogs with IE and 310 control dogs.

METHODS

This is a 3-month prospective parallel observational study. An activity monitoring device for dogs was used to measure daily activity levels and sleep scores in all dogs.

RESULTS

Dogs with IE treated with AEDs had an 18% average lower baseline activity level compared to control dogs (P = .005; point estimate = 0.82, 95% confidence interval [CI], 0.75-0.90). The combination of phenobarbital and potassium bromide (KBr) was associated with an average 28% decrease in activity in dogs with IE compared to control dogs (P = .03; point estimate = 0.72; CI, 0.62-0.82). Mean sleep scores were not significantly different in dogs with IE receiving AEDs compared to control dogs (P = .43). However, higher dosages of KBr were associated with lower sleep scores (P = .01).

CONCLUSIONS

Dogs with IE receiving AEDs have lower activity levels, but no difference in sleep scores, compared to controls. The combination of phenobarbital and KBr had the largest decrease in activity between groups. Higher doses of KBr may affect nocturnal activity in epileptic dogs.

Risk factors for dementia development, frailty, and mortality in older adults with epilepsy - A population-based analysis

OBJECTIVE

Although the prevalence of comorbid epilepsy and dementia is expected to increase, the impact is not well understood. Our objectives were to examine risk factors associated with incident dementia and the impact of frailty and dementia on mortality in older adults with epilepsy.

METHODS

The CALIBER scientific platform was used. People with incident epilepsy at or after age 65 were identified using Read codes and matched by age, sex, and general practitioner to a cohort without epilepsy (10:1). Baseline cohort characteristics were compared using conditional logistic regression models. Multivariate Cox proportional hazard regression models were used to examine the impact of frailty and dementia on mortality, and to assess risk factors for dementia development.

RESULTS

One thousand forty eight older adults with incident epilepsy were identified. The odds of having dementia at baseline were 7.39 [95% CI 5.21-10.50] times higher in older adults with epilepsy (n = 62, 5.92%) compared to older adults without epilepsy (n = 88, 0.86%). In the final multivariate Cox model (n = 326), age [HR: 1.20, 95% CI 1.09-1.32], Charlson comorbidity index score [HR: 1.26, 95% CI 1.10-1.44], and sleep disturbances [HR: 2.41, 95% CI 1.07-5.43] at baseline epilepsy diagnosis were significantly associated with an increased hazard of dementia development over the follow-up period. In a multivariate Cox model (n = 1047), age [HR: 1.07, 95% CI 1.03-1.11], baseline dementia [HR: 2.66, 95% CI 1.65-4.27] and baseline e-frailty index score [HR: 11.55, 95% CI 2.09-63.84] were significantly associated with a higher hazard of death among those with epilepsy. Female sex [HR: 0.77, 95% CI 0.59-0.99] was associated with a lower hazard of death.

SIGNIFICANCE

The odds of having dementia were higher in older adults with incident epilepsy. A higher comorbidity burden acts as a risk factor for dementia, while prevalent dementia and increasing frailty were associated with mortality.

The Quality of Life in Patients with Epilepsy in the Context of Sleep Problems and Sexual Satisfaction

Epilepsy influences the quality of patient functioning in almost all aspects of life. This study aimed to assess the quality of difficulties with sleep initiation and those concerning sexual function, and to assess whether sleep disorders are associated with selected aspects of sexual function and quality of life. The study involved completing a quality-of-life questionnaire for persons with epilepsy: a QOLIE-31 questionnaire, and the present authors' questionnaire, including 20 questions. A total of 170 questionnaires were completed by 89 men and 81 women. Sleep problems of various frequency were reported by 98 participants (57.6%). Only 41% of patients were definitely satisfied with their sex life. The respondents who declared dissatisfaction with their sex life more often reported difficulties with sleep initiation (χ2 = 10.20; p ≤ 0.001). Moreover, those who claimed that epilepsy might contribute to sex life problems more commonly declared dissatisfaction with their sex life (χ2 = 20.01; p ≤ 0.001) and more frequently, reported difficulties with sleep initiation (χ2 = 6.30; p ≤ 0.012). The issues should constitute the constant element of medical history taking, as improvement in these areas of functioning may promote better quality of life in patients with epilepsy.

Proceedings of the Sleep and Epilepsy Workshop: Section 1 Decreasing Seizures-Improving Sleep and Seizures, Themes for Future Research

Epileptic seizures, sleep, and circadian timing share bilateral interactions, but concerted work to characterize these interactions and to leverage them to the advantage of patients with epilepsy remains in beginning stages. To further the field, a multidisciplinary group of sleep physicians, epileptologists, circadian timing experts, and others met to outline the state of the art, gaps of knowledge, and suggest ways forward in clinical, translational, and basic research. A multidisciplinary panel of experts discussed these interactions, centered on whether improvements in sleep or circadian rhythms improve decrease seizure frequency. In addition, education about sleep was lacking in among patients, their families, and physicians, and that focus on education was an extremely important "low hanging fruit" to harvest. Improvements in monitoring technology, experimental designs sensitive to the rigor required to dissect sleep versus circadian influences, and clinical trials in seizure reduction with sleep improvements were appropriate.

Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses

BACKGROUND

Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease.

METHODS

We used AMV (N = 17,368) combined with two-sample MR (N = 38,618) to examine effects of self-reported insomnia symptoms, total habitual sleep duration, and chronotype on 113 metabolomic traits. The AMV analyses were conducted on data from 10 cohorts of mostly Europeans, adjusted for age, sex, and body mass index. For the MR analyses, we used summary results from published European-ancestry genome-wide association studies of self-reported sleep traits and of nuclear magnetic resonance (NMR) serum metabolites. We used the inverse-variance weighted (IVW) method and complemented this with sensitivity analyses to assess MR assumptions.

RESULTS

We found consistent evidence from AMV and MR analyses for associations of usual vs. sometimes/rare/never insomnia symptoms with lower citrate (- 0.08 standard deviation (SD)[95% confidence interval (CI) - 0.12, - 0.03] in AMV and - 0.03SD [- 0.07, - 0.003] in MR), higher glycoprotein acetyls (0.08SD [95% CI 0.03, 0.12] in AMV and 0.06SD [0.03, 0.10) in MR]), lower total very large HDL particles (- 0.04SD [- 0.08, 0.00] in AMV and - 0.05SD [- 0.09, - 0.02] in MR), and lower phospholipids in very large HDL particles (- 0.04SD [- 0.08, 0.002] in AMV and - 0.05SD [- 0.08, - 0.02] in MR). Longer total sleep duration associated with higher creatinine concentrations using both methods (0.02SD per 1 h [0.01, 0.03] in AMV and 0.15SD [0.02, 0.29] in MR) and with isoleucine in MR analyses (0.22SD [0.08, 0.35]). No consistent evidence was observed for effects of chronotype on metabolomic measures.

CONCLUSIONS

Whilst our results suggested that unfavourable sleep traits may not cause widespread metabolic disruption, some notable effects were observed. The evidence for possible effects of insomnia symptoms on glycoprotein acetyls and citrate and longer total sleep duration on creatinine and isoleucine might explain some of the effects, found in MR analyses of these sleep traits on coronary heart disease, which warrant further investigation.

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.

Fatigue and cognitive functions in epilepsy: A review of the literature

Epilepsy is a common neurological disorder affecting people of all ages and inducing cognitive impairments. While research has advanced in terms of neuropsychological enquiries of the various epileptic syndromes, the understanding of more complex and ill-defined phenomena such as fatigue is still unclear for epilepsy. It is suggested that fatigue is not just physical, but there can also be a cognitive element to it. Although studies in other conditions have been able to identify a relationship between fatigue and particular cognitive components, similar evidence is sparse in patients with epilepsy. This review is an attempt to gather, analyze, integrate, and critically discuss available information on fatigue and its rapport with various aspects of epilepsy, particularly focusing on cognition. Future directions are discussed urging researchers to target cognitive components of fatigue.

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.

Nocturnal events in children: When and how to evaluate

Nocturnal events of wide variety and concern are frequently reported by patients and their caregivers. To evaluate suspected abnormal events, primary care physicians must first be familiar with normal behaviors, movements and breathing patterns. Abnormal nocturnal events can then be categorized as nocturnal seizure, parasomnia, sleep-related movement disorder or sleep-related breathing disorder. Diagnoses in the above categories can be made clinically; however, it is important to know when to refer for additional evaluation. Comprehensive literature review was undertaken of nocturnal and sleep-related disorders. This guide reviews nocturnal seizures, normal and abnormal nonepileptic movements and behaviors, discusses broad indications for referral for electroencephalography (EEG) or polysomnography (PSG), and guides counseling and management for patients and their families, ultimately aiding in interpretation of both findings and prognosis. Epilepsy syndromes can result in seizures during sleep or adjacent periods of wakefulness. Parasomnias and sleep-related movement disorders tend to also occur in childhood and may be distinguished clinically. Referral to additional specialists for specific studies including EEG or PSG can be necessary, while other times a knowledgeable and vigilant clinician can contribute to a prompt diagnosis based on clinical features. Nocturnal events often can be managed with parental reassurance and watchful waiting, but treatment or evaluation may be needed. Sleep-related breathing disorders are important to recognize as they present very differently in children than in adults and early intervention can be life-saving. This review should allow both primary and subspecialty non-neurologic pediatric and adolescent health care providers to better utilize EEG and PSG as part of a larger comprehensive clinical approach, distinguishing and managing both epileptic and nonepileptic nocturnal disorders of concern while fostering communication across providers to facilitate and coordinate better holistic long-term care of pediatric and adolescent patients.

Time of day is an inaccurate surrogate marker for sleep-wake state in an epilepsy monitoring unit

OBJECTIVE

To assess the correlation between time of day and sleep-wake state prior to seizure onset for seizures recorded in an inpatient epilepsy monitoring unit.

METHODS

We prospectively enrolled a consecutive series of patients undergoing inpatient epilepsy monitoring. For each epileptic seizure recorded, continuous EEG data preceding seizure onset was reviewed and scored as W, N1-3, or REM in ten 30-second epochs. Time of day was divided into four 6-h phases (0600-1159, 1200-1759, 1800-2359, 0000-0559). The preictal sleep-wake state was then correlated to nocturnal (0000-0559) versus diurnal (0600-2359) times of day.

RESULTS

A total of 102 seizures from 42 patients met enrollment criteria over a period of 19 months. Eighty-five seizures occurred during the diurnal phase, and 17 seizures occurred during the nocturnal phase. Thirty-six percent of all seizures (n = 37) were preceded by at least 1 epoch of sleep. The proportion of patients sleeping prior to a seizure within each 6-h phase varied significantly from the overall distribution only during nocturnal phase. Seventy-six percent of nocturnal seizures and 28 % of diurnal seizures were preceded by sleep. Therefore, the nocturnal time window from 0000-0559 had a sensitivity of 0.65 (95 % confidence interval 0.48-0.78), a specificity of 0.06 (0.02-0.15), a positive predictive value of 0.28 (0.20-0.39), and a negative predictive value of 0.24 (0.10-0.39) in association with sleep-onset seizures.

SIGNIFICANCE

The time of day is an inaccurate surrogate for preictal sleep-wake state in the epilepsy monitoring unit despite a correlation between nocturnal period and sleep. Diurnal sleep is a common phenomenon in the inpatient unit.

Deep-Seated Interictal Epileptiform Activity: Another Reason to Lose Sleep

Sleep Disruption in Epilepsy: Ictal and Interictal Epileptic Activity Matter

Peter-Derex L, Klimes P, Latreille V, et al. Ann Neurol. 2020;88(5):907-920. doi:10.1002/ana.25884. PMID: 32833279.

Objective:

Disturbed sleep is common in epilepsy. The direct influence of nocturnal epileptic activity on sleep fragmentation remains poorly understood. Stereo-electroencephalography paired with polysomnography is the ideal tool to study this relationship. We investigated whether sleep-related epileptic activity is associated with sleep disruption.

Methods:

We visually marked sleep stages, arousals, seizures, and epileptic bursts in 36 patients with focal drug resistant epilepsy who underwent combined stereo-electroencephalography/polysomnography during presurgical evaluation. Epileptic spikes were detected automatically. Spike and burst indices (n/sec/channel) were computed across four 3-second time windows (baseline sleep, prearousal, arousal, and postarousal). Sleep stage and anatomic localization were tested as modulating factors. We assessed the intra-arousal dynamics of spikes and their relationship with the slow-wave component of nonrapid eye movement sleep (NR) arousals.

Results:

The vast majority of sleep-related seizures (82.4%; 76.5% asymptomatic) were followed by awakenings or arousals. The epileptic burst index increased significantly before arousals as compared to baseline and postarousal, irrespective of sleep stage or brain area. A similar prearousal increase was observed for the spike index in NR stage 2 and rapid eye movement sleep. In addition, the spike index increased during the arousal itself in neocortical channels and was strongly correlated with the slow-wave component of NR arousals (r = 0.99, P < .0001).

Interpretation:

Sleep fragmentation in focal drug-resistant epilepsy is associated with ictal and interictal epileptic activity. The increase in interictal epileptic activity before arousals suggests its participation in sleep disruption. An additional increase in the spike rate during arousals may result from a sleep–wake boundary instability, suggesting a bidirectional relationship.

Parental functioning during maintenance treatment for childhood acute lymphoblastic leukemia: Effects of treatment intensity and dexamethasone pulses

BACKGROUND

During maintenance treatment, Dutch pediatric patients with medium-risk (MR) acute lymphoblastic leukemia (ALL) receive intravenous chemotherapy and cyclic dexamethasone. Dexamethasone affects child's sleep and behavior. Standard-risk (SR) patients only receive oral chemotherapy, without dexamethasone. Effects of stratified therapy on parents are not well known. This study compares parental sleep, distress and quality of life (QoL) with the general population, between MR and SR groups, and on- and off-dexamethasone (MR group).

PROCEDURE

One year after diagnosis, parents of MR patients completed the Medical Outcomes Study (MOS) sleep, distress thermometer for parents and Short Form-12 (SF-12) twice; once on-dexamethasone and once off-dexamethasone. SR parents completed one measurement. Sleep problems, distress and QoL scores (off-dexamethasone) were compared to reference values and between MR and SR. Score differences on- and off-dexamethasone were assessed by multilevel regression analysis.

RESULTS

Parents (80% mothers) of 121 patients (57% males; 75% MR, 25% SR) completed 191 measurements. Compared to reference values, parents reported more sleep disturbances, higher distress, and lower mental QoL. Additionally, MR parents reported clinical distress (score ≥ 4), whereas SR parents (on average) did not (mean 4.8 ± 2.4 vs 3.5 ± 2.4, P = .02). Within the MR group, outcomes did not significantly differ on- and off-dexamethasone.

CONCLUSIONS

Parents of ALL patients report sleep problems, high distress, and QoL impairment. Within the MR group, parental functioning did not differ on- and off-dexamethasone. However, MR parents reported clinical distress more often than SR parents, possibly reflecting differences in prognostic estimates and treatment burden. This perhaps includes the overall strain of cyclic dexamethasone. This study highlights the need for psychosocial support throughout treatment, regardless of risk stratification.

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.

Course and impact of sleep disturbance in newly diagnosed epilepsy: A prospective registry study

OBJECTIVE

To determine the course of sleep distrurbance (insomnia symptoms and short sleep duration) after a diagnosis of epilepsy and their associations with seizure control, mood, disability, and quality of life.

PATIENTS AND METHODS

One hundred and sixty-nine adults were drawn from the Sydney Epilepsy Incidence Study to Measure Illness Consequences (SEISMIC), a prospective, multicenter, community-wide study in Sydney, Australia. Socio-demographic, psychosocial, clinical characteristics, and information on sleep disturbance were obtained early (median 48 [IQR15-113] days) after a diagnosis of epilepsy, and at 12 months. Logistic regression models were used to determine associations between patterns of sleep disturbance with outcomes at 12 months.

RESULTS

Insomnia symptoms and/or short sleep duration were present in 18-23% of participants at both time points, with over half (54-61%) showing a chronic pattern. There was no association of sleep disturbance pattern with recurrent seizures, medication use or disability. Chronic insomnia symptoms and short sleep duration were strongly associated with worse mental health (aOR 3.76, 95% CI 1.28-11.06; and aOR 5.41, 95% CI 1.86-15.79) and poorer quality of life at 12 months (aOR 3.02, 95% CI 1.03-8.84; and aOR 3.11, 95% CI 1.10-8.82), after adjusting for clinical features of epilepsy and comorbidity. Those whose sleep disturbance remitted had no adverse outcomes.

CONCLUSIONS

Insomnia symptoms and short sleep duration are less common in people with recently-diagnosed than chronic epilepsy. The temporal association with poor psycholosocial outcomes supports specific interventions addressing sleep disturbance.

Subjective and objective hypersomnia highly prevalent in adults with epilepsy

INTRODUCTION

Sleepiness is among the most common complaints of people with epilepsy, but objective documentation is lacking. We systematically investigated subjective and objective sleepiness in an observational cross-sectional cohort of adults with epilepsy (AWE).

METHODS

This is a prospective study of AWE consecutively recruited without foreknowledge of sleep/wake complaints. Polysomnography (PSG) with 18-channel electroencephalography (EEG) followed by multiple sleep latency testing (MSLT) was performed. Patients completed the Epworth Sleepiness Scale (ESS), a single-item question assessing excessive daytime sleepiness (EDS), and a 7-day sleep and seizure diary. Multivariable linear models were used to assess the association between MSLT mean sleep latency (MSL) and interests with adjustment of covariates of interest. Receiver operating characteristics (ROC) analysis was performed to evaluate the discrimination capability of ESS on MSL < 8 min and <5 min and investigate the optimal cutpoints.

RESULTS

Among 127 AWE (mean age: 38.7 ± 13.7 years), abnormal MSL (<8 min) was observed in 49.6% and MSL <5 min in 31.5%. While 78% reported feeling sleepy during the day on a single-item question, only 24% had elevated scores on the ESS (>10/24). The ESS score was associated with MSL even after adjusting for seizure frequency, antiseizure medication (ASM) standardized dose and number, age, gender, depression and insomnia symptom severity, and apnea-hypopnea index (HPI) and total sleep time on PSG (coefficients [95% confidence interval (CI)]: -0.26 [-0.48, -0.05], p = 0.018). The area under the curve (AUC) of the ESS ROC predicting MSL < 8 min and MSL < 5 min were similar: 0.62 (95%CI: 0.52-0.72) and 0.62 (95%CI: 0.51-0.74).

CONCLUSIONS

This is the largest prospective cross-sectional observational study to date using MSLT in AWE. We found subjective and objective daytime sleepiness highly prevalent in AWE and not explained by seizure frequency, ASM burden, symptoms of insomnia/depression, or PSG findings although those with MSL < 5 min were more likely to have obstructive sleep apnea (OSA). Pathologic sleepiness with MSL < 8 min was present in half of AWE. Nearly one-third of AWE unselected for sleep/wake complaints had MSL < 5 min, a range typical of narcolepsy.

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.

Group-based cognitive behavioral therapy program for improving poor sleep quality and quality of life in people with epilepsy: A pilot study

Sleep difficulties are commonly reported by patients with epilepsy and can have a detrimental impact on overall quality of life. The purpose of this pilot study was to assess the efficacy of a psychotherapeutic approach, namely Cognitive Behavioral Therapy for Insomnia (CBT-I), in improving sleep quality in patients with epilepsy. Twenty outpatients with epilepsy who reported poor sleep quality were randomized to either a control or CBT-I treatment group, which involved four group-based CBT-I sessions, delivered on a weekly basis. In addition to completing a range of standardized measures related to sleep quality and quality of life, participants also monitored their sleep with a self-completed sleep diary over a two-week period, on two separate occasions. Following CBT-I treatment, no between-group difference was found on any sleep or quality of life measure. However, both the treatment and control groups improved on measures of sleep quality, quality of life, sleep hygiene behaviors, and dysfunctional beliefs about sleep. These findings suggest that sleep monitoring alone may have the potential for prompting healthy behavior change in this clinical population.