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

Insomnia in epilepsy is associated with nocturnal seizures and anxiety

PURPOSE

The purpose of this study was to identify the factors associated with insomnia in patients with epilepsy (PWE) and provide evidence for clinical prevention and treatment.

METHODS

PWE who visited our epilepsy clinic from December 2021 to December 2022 were enrolled in our study. All participants completed the Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). Based on their ISI scores, they were categorized into two groups: PWE with insomnia (ISI score ≥ 10) and PWE without insomnia (ISI score < 10). Univariate analysis and stepwise logistic regression analysis were conducted to identify the factors associated with insomnia in PWE.

RESULTS

A total of 196 Chinese PWE were recruited in this study(men, 39.8 %). Of these, 39 PWE(19.9 %) had insomnia.The incidence of nocturnal seizures (43.6 %vs19.7 %), depression (46.2 %vs9.6 %), anxiety (59.0 %vs11.5 %), and excessive daytime sleepiness(EDS,28.2 %vs5.7 %) in PWE with insomnia were significantly higher than in those without insomnia(all p＜0.01). Univariate regression analysis showed that seizures greater than or equal to once per month, nocturnal seizures, anxiety, depression, and EDS may associate with insomnia in PWE(all p＜0.05). Stepwise logistic regression analysis demonstrated that nocturnal seizures (OR = 2.611,95 % CI 1.040-6.478, P = 0.038) and anxiety (mild OR = 4.830,95 %CI 1.741-13.186, P = 0.002;moderate OR = 24.239,95 %CI 4.719-183.935, P＜0.001; severe OR = 37.653,95 %CI 4.931-782.741, P = 0.002) were independently associated with insomnia in PWE.

CONCLUSION

PWE with insomnia are more likely to experience depression and EDS. Nocturnal seizures and anxiety are identified as independent factors associated with insomnia in PWE. Furthermore, Anxiety has a greater impact on insomnia in PWE and the likelihood of insomnia has increased significantly with the aggravation of anxiety levels.

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.

Insomnia in neurological disorders: Prevalence, mechanisms, impact and treatment approaches

Insomnia is more prevalent in neurological disorders compared to the general population, with rates ranging from 11 to 74.2% in neurodegenerative disorders, 20 to 37% in vascular diseases, 13.3 to 50% in inflammatory diseases, 28.9 to 74.4% in epilepsy, and nearly 70% in migraines. Insomnia in neurological disorders stems from a variety of factors, encompassing physical and neuropsychiatric factors, behavioral patterns, and disruptions in the biological clock and circadian rhythm. There are bidirectional connections between neurological disorders and insomnia. Insomnia in neurological disorders worsens symptoms, resulting in heightened depressive symptoms, elevated mortality rates, reduced quality of life, and intensified acute symptoms. Managing comorbid sleep disorders, especially in the presence of psychiatric comorbidities, is crucial. Cognitive behavioral therapy for insomnia (CBT-I) is the first-line recommendation for insomnia management in neurological disorders. Other treatments are second-line strategies. Melatonin may demonstrate effectiveness in addressing insomnia, with soporific and chronobiotic effects. Furthermore, it has the potential to alleviate "sundowning" and behavioral disturbances, while generally being well-tolerated. Other treatment options that may be of interest include morning bright light therapy, sedative antidepressants, new orexin dual antagonists and levodopa specifically indicated for Parkinson's disease. Benzodiazepines and z-drugs can be used primarily during acute phases to prevent pharmacotolerance and minimize side effects. However, they should be avoided in patients with neurological disorders and not used in patients over 75 years old due to the risk of falls and confusion. In neurological disorders, insomnia has a profound impact on daytime functioning, making its management crucial. Effective treatment can result in improved outcomes, and additional research is necessary to investigate alternative therapeutic options and enhance patient care.

Restless leg syndrome prevalence in epilepsy patients and its impact on quality of sleep

This study aimed to determine the frequency of restless leg syndrome (RLS) and other sleep-related movement disorders and their effects on sleep quality in epilepsy patients. One hundred and twenty-seven epilepsy patients were compared with 115 age-and gender-matched healthy controls. RLS was determined from the clinical characteristics of the patients according to the International RLS Study Group's (IRLSSG) diagnostic criteria. Sleep bruxism was diagnosed based on the International Classification of Sleep Disorders, Third Edition (ICSD-3) criteria. Subjective sleep quality was evaluated with the Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was more common in the epilepsy group than in the control group (42.5% versus 26.1%; p = 0.007). The epilepsy group had significantly higher PSQI total scores than the control group (p = 0.003). The frequency of RLS was higher in epileptic patients than in the control group (13.4% versus 5.2%; p = 0.024). There were no significant differences between the patient group and the control group regarding limb movement and bruxism frequency during sleep. The PSQI scores were high in epilepsy patients with RLS compared to those without RLS (p = 0.009). The frequency of habitual snoring, bruxism, and repetitive leg movement in sleep was also high in epilepsy patients with RLS compared to those without RLS (p < 0.05). The prevalence of poor sleep quality and RLS in epilepsy patients is higher than in healthy controls. Our results also show the negative impact of RLS on sleep quality in epilepsy patients. Further confirmatory studies using objective sleep tests are needed to identify the mechanisms underlying the current findings.

Excessive Daytime Sleepiness and Sleep Quality and their Impact on Health-Related Quality of Life in People with Epilepsy: A study from Pakistan

BACKGROUND

Epilepsy is one of the most common but manageable neurological disorder. The relation between epilepsy, sleep, and health-related quality of life (HRQoL) in culturally distinct environment of Pakistan remains unclear. The purpose of this study was to determine prevalence and predictors of excessive daytime sleepiness (EDS), poor sleep quality (SQ), and to analyze their association with HRQoL in people with epilepsy (PWE).

METHODS

A study was conducted among PWE attending two tertiary care hospitals of Islamabad and Rawalpindi, Pakistan. The EDS, SQ, and HRQoL were evaluated by Urdu versions of Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Quality of Life in Epilepsy-31 (QOLIE-31).

RESULTS

The study included 200 PWE and 51 healthy controls with mean (SD) ages of 33.1 ± 13.9, 32.9 ± 10.9, and a disease duration of 5.01 ± 6.17, respectively. The majority of the respondents (n = 130, 65%) had poor seizure control, and most of these (n = 88, 68%) were on combination antiepileptic drug (AED) therapy. In comparison to controls, a higher number of PWE had EDS by ESS (score ≥ 11, 10% vs. 40%, p-value 0.00), and poor SQ by PSQI (score > 5, 9% vs. 71%, p-value 0.00). A multiple logistic regression analysis reveals that the factors significantly associated with EDS were: female gender; increasing age; seizure control; duration of epilepsy; and combination AED therapy. A second multiple binary logistic regression analysis suggests that factors significantly associated with poor SQ were: increasing age; female gender; poor seizure control; and combination therapy. The Hierarchical multivariate analysis suggests that poor seizure control, EDS, and poor SQ were significant predictors of low HRQoL.

CONCLUSION

The findings suggest high prevalence of EDS and poor SQ in PWE in Pakistan. A significant negative association exists between sleep complaints and HRQoL. During routine clinical consultations, awareness about sleep hygiene practices must be provided to enhance HRQoL.

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.