Contribution of sleep disturbances to fatigue in multiple sclerosis: a prospective study using clinical and polysomnographic parameters

Polysomnography parameters in a large cohort of people with multiple sclerosis

BACKGROUND

Disordered and disturbed sleep is quite common among people with multiple sclerosis (PwMS). It is associated with fatigue one of most disabling symptoms in MS. This study aims at comparing polysomnographic (PSG) sleep parameters in a large single cohort of PwMS from a single center to that of the published norms. Hence establishing PSG parameters in PwMS.

METHODS

This is a retrospective review of 299 consecutive adult PwMS who were seen and evaluated with an overnight PSG at a Comprehensive MS Care Center between 11/19/2001 to 9/17/2014. Data extracted from the PSG included Total Sleep Time (TST), sleep efficiency (SE), sleep onset latency (SOL), Relative REM latency, total apnea-hypopnea indices (AHI), spontaneous arousal indices (AI), total periodic leg movements indices (PLMI) and, sleep architecture metrics including percentage spent in stages N1/N2, N3, and REM.

RESULTS

PwMS, compared to normative data, had, on average, 85.9 min shorter TST (p < 0.001), 27.3 min longer SOL (p < 0.0001), 62.1 min longer REM latency (p < 0.0001), 10.7 % lower SE (p < 0.0001), 16.4 % more N1/N2 (p < 0.0001) and 11.4 % less N3 (p < 0.0001). REM latency The prevalence of Obstructive Sleep Apnea (OSA) was high at 60.7 % and the mean AHI was higher by 11.1 events per hour (p < 0.0001).

CONCLUSIONS

This study establishes PSG parameters in the largest PwMS cohort reported to date. It is important to be vigilant of sleep complaints in PwMS. Future prospective large single cohort studies with standardized methods are needed to further understand sleep disturbances in PwMS as well as their causes and implications.

The impact of fatigue on people with multiple sclerosis in Morocco

Background

Multiple sclerosis (MS), fatigue is among the leading clinical symptoms. It is one of the most disabling symptoms for most MS people.

Objectives

This research measures the prevalence of fatigue and its impact on the physical, cognitive, and psychosocial abilities of individuals with MS in Morocco.

Method

This cross-sectional and descriptive study included 152 participants. Data were collected via an online survey using the snowball method, incorporating sociodemographic characteristics and the Arabic version of the Modified Fatigue Impact Scale.

Results

According to the results, 89.4% of respondents experienced pathological fatigue, with an average score of 65.52 (± 18.00). There was a significant relationship between pathological fatigue, age (p = 0.0324), and clinical phenotype (p = 0.041). Fatigue negatively impacted participants' physical, cognitive, and psychological capacities, with average scores of 70.38 (± 8.15), 62.28 (± 10.23), and 73.87 (± 1.86), respectively.

Conclusion

The results of our study confirmed a high prevalence of fatigue among people with MS in Morocco. Sustained research in this field remains crucial, as it enables the formulation of strategies aimed at enhancing the quality of life for those impacted by MS.

Contribution

This study is the first in Morocco to examine fatigue prevalence in people with MS and its impact on their physical, cognitive, and psychosocial abilities. High fatigue levels hinder the integration of people with MS into professional and student life. The findings emphasize the need for effective symptom and fatigue management.

Factors affecting physical and mental fatigue in adults from South Korea: A cross-sectional study

In modern society, demanding and stressful events contribute to increased fatigue in adults. Moreover, fatigue is the most prevalent symptom of long coronavirus disease 2019. Fatigue is a subjective feeling of tiredness that can be attributed to various causes. This cross-sectional study investigated factors affecting physical and mental fatigue in adults living in South Korea. Self-reported data were collected through an online survey conducted between July 11 and July 17, 2021. The final sample comprised 362 participants, excluding those with uncertain responses. The collected data were analyzed using IBM SPSS version 27.0. General characteristics and variables of the participants were examined through descriptive statistical analysis. Differences in fatigue level according to the general characteristics of the participants were analyzed using t tests and one-way analysis of variance. The correlation between variables was analyzed using Pearson correlation coefficients. To investigate factors affecting fatigue, stepwise multiple regression analysis was conducted. The overall level of fatigue according to participants' general characteristics differed significantly based on alcohol use, economic status, number of chronic diseases, stress, depression, and sleep problems. Factors affecting physical fatigue were depression, sleep problems, General Health Questionnaire (GHQ-12) scores, and number of chronic diseases. The factors affecting mental fatigue were depression, GHQ-12 score, and alcohol use. The variables that had the most significant impact on overall fatigue were alcohol consumption, the number of chronic illnesses, depression, and GHQ-12, in that order. This emphasizes the importance of lifestyle improvement and dietary management in adults for preventing chronic diseases and managing mental health. The results of this study should be considered when planning health services to provide fatigue interventions for Korean adults.

Restless Legs Syndrome and fatigue in multiple sclerosis: A cross-sectional clinical study

BACKGROUND

Restless Legs Syndrome is a sleep-related sensorimotor disorder with a higher prevalence in Multiple Sclerosis (MS) patients than in the general population. Our aim was to determine the prevalence of RLS in a group of relapsing-remittent multiple sclerosis (RRMS) patients, and to investigate whether RLS is associated with MS-related disability, sleep quality, mood disorders and fatigue.

METHODS

In this retrospective, mono-centric, observational study, 92 RRMS patients were recruited (median age 46.5 years, 68.5% female patients). Data on MS clinical and radiological variables were collected. Patients underwent a subjective evaluation with standardized questionnaires on sleep fatigue and mood, which were evaluated by an expert neurologists specialized in sleep disorders about the occurrence of RLS.

RESULTS

Prevalence of RLS in our sample was of 47.8%. Patients with RLS had a significantly higher rate of worse sleep quality and fatigue, compared to non RLS subjects (respectively 56.8% vs. 35.4%, p=0.04 and 54.4% vs 22.7%, p=0.002). Univariate analysis showed that RLS was significantly more frequent in fatigued patients (66.7% vs 38.5% RLS- patients, p=0.009). Multivariate analysis showed that fatigue correlated with MS-related disability (OR 1.556, p=0.011), poor sleep quality (OR 1.192, p 0.036), and mood disorders (OR 1.096, p 0.046). RLS appears to independently increase the risk of fatigue of 50%, without reaching clear statistical significance (OR 1.572, p 0,0079).

CONCLUSION

Our study confirms the high prevalence of RLS in patients with multiple sclerosis and highlights the potential impact of RLS on fatigue and its strict interaction with sleep quality.

Emotional competencies in multiple sclerosis

BACKGROUND

Emotional competencies (i.e., understanding emotions in self and others) are crucial for psychological well-being and successful social interaction. However, despite the deficits in psychological well-being and social interaction among individuals with multiple sclerosis (MS), emotional competencies have not been broadly investigated in MS. The present study: (1) compared emotional competencies between persons with MS and (a) previously published norms for the general population and (b) persons with major depressive disorder; and (2) investigated the association between emotional competencies and symptoms of insomnia, depression, fatigue, and paresthesia in persons with MS.

METHODS

The sample of 1135 persons with MS (mean age: 34.6 years; 81.1% female; median EDSS: 2; range: 0 - 5) self-rated emotional competencies and symptoms of insomnia, symptoms of depression, fatigue, and paresthesia. Data on emotional competencies of historical samples (general population: N = 622; mean age: 22.0 years; 61% females; outpatients with major depressive disorders (MDD); N = 50; mean age: 42.46 years; 68% females) were used for comparison.

RESULTS

Persons with MS reported lower levels of emotional competencies than both the general population (t (1, 1756) = 55.18, p < 0.001, d = 1.66; large effect size) and outpatients with MDD (t (1, 1183) = 3.48, p <0.001, d = 0.50; medium effect size). Among persons with MS, lower levels of emotional competencies were associated with higher MS-related symptoms of insomnia(r = - 0.24; p < 0.001), depression (r = - 0.42; p < 0.001), fatigue (r = - 0.31; p < 0.001), and paresthesia (r = - 0.18; p < 0.001).

CONCLUSIONS

Persons with MS reported significantly lower scores for emotional competencies when compared with the general population and outpatients with MDD. Further, lower scores for emotional competencies were associated with typical MS-related symptoms of insomnia, depression, fatigue and paresthesia. These findings suggest that emotional competencies may be an important target for intervention in persons with MS.

Discrepancies between self-report and objective sleep outcomes are associated with cognitive impairment and fatigue in people with multiple sclerosis and insomnia

OBJECTIVES

The primary aim of this study was to assess the degree to which discrepancies between self-reported and actigraphy-based measures of sleep are associated with specific demographic, disease characteristics, and clinical features in a sample of individuals with multiple sclerosis (MS) reporting clinically significant insomnia symptoms.

METHODS

Participants were 90 community-based participants with MS and insomnia. Measures included the Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory-Fast Screen (BDI-FS), Modified Fatigue Impact Scale (MFIS), and MS Neuropsychological Screening Questionnaire (MSNQ), and wrist actigraphy-derived sleep parameters. Discrepancy scores were calculated by subtracting actigraphy-derived values from PSQI-derived values for sleep latency (SL), total sleep time (TST), and sleep efficiency (SE).

RESULTS

Correlations between PSQI and actigraphy-derived values were weak. Significant discrepancies, with moderate-to-large effect sizes, were observed between PSQI and actigraphy for SL, TST, and SE, whereby the PSQI yielded longer SL, shorter TST, and less SE than actigraphy. MSNQ elevations correlated with greater PSQI-actigraphy discrepancies in SL and TST. MFIS elevations correlated with greater discrepancies in TST. Discrepancies were not significantly related to BDI-FS, gender, race, education level, or MS type.

CONCLUSIONS

Results emphasize the importance of assessing fatigue with sleep, and when feasible, inclusion of both self-report and actigraphy measures.

Sleep in multiple sclerosis: a systematic review and meta-analysis of polysomnographic findings

STUDY OBJECTIVES

This study aims to explore the polysomnographically measured sleep differences between patients with multiple sclerosis (MS) and healthy control patients.

METHODS

An electronic literature search was conducted in EMBASE, MEDLINE, all EBM databases, CINAHL, and PsycINFO from inception to March 2022. A random-effects model was applied to explore the pooled effect sizes of polysomnographic differences between patients with MS and control patients.

RESULTS

Thirteen studies were identified for meta-analysis. The meta-analyses revealed significant reductions in stage N2 sleep and sleep efficiency and increases in wake time after sleep onset, the periodic limb movement index, and the periodic limb movement arousal index in patients with MS compared with control patients. Meta-regression analyses showed that some of the heterogeneity was explained by age and daytime sleepiness of patients with MS.

CONCLUSIONS

Our study showed that polysomnographic abnormalities are present in MS. Our findings also underscore the need for a comprehensive polysomnographic assessment of sleep changes in patients with MS. Furthermore, the effects of age and daytime sleepiness in patients with MS on sleep changes should also be carefully considered and closely monitored in the management of MS.

CITATION

Zhang Y, Ren R, Yang L, et al. Sleep in multiple sclerosis: a systematic review and meta-analysis of polysomnographic findings. J Clin Sleep Med. 2023;19(2):253-265.

The prevalence of restless legs syndrome (RLS) in patients with multiple sclerosis (MS): a systematic review and meta-analysis-an update

INTRODUCTION

The prevalence of restless legs syndrome (RLS) is reported to vary in patients with multiple sclerosis (MS) in studies which are conducted in different populations. The goal of this systematic review and meta-analysis is to update the prevalence of RLS in MS cases.

METHODS

We searched PubMed, Scopus, EMBASE, CINAHL, Web of Science, Google Scholar, and gray literature including references from identified studies and conference abstracts which were published up to June 2021. Data on the total number of participants, first author, country, disease duration, number of controls, mean patient age, male and female numbers, mean EDSS, and number of cases and/or controls with RLS were extracted from the included studies.

RESULTS

The literature search revealed 855 articles; after deleting duplicates, 530 remained. For the meta-analysis, 75 studies were included (Fig. 1). In six articles, the authors did not differentiate between CIS and MS cases when reporting RLS cases. In total, 15,411 MS/CIS patients were evaluated and 4309 had RLS. The pooled prevalence of RLS was 28% (95% CI: 24-33%). The pooled prevalence of RLS in men was 22% (95% CI: 17-26%), and the pooled prevalence of RLS in women was 30% (95% CI: 25-35%). The pooled prevalence of RLS in controls was 8% (95% CI: 6-10%).

CONCLUSION

The results of this systematic review and meta-analysis show that the pooled prevalence of RLS is 28% in MS cases and 8%. The pooled prevalence is higher in women than men (30% vs 22%).

The Role of Remote Monitoring in Evaluating Fatigue in Multiple Sclerosis: A Review

Fatigue is one of the most common multiple sclerosis (MS) symptoms. Despite this, monitoring and measuring fatigue (subjective lack of energy)- and fatigability (objectively measurable and quantifiable performance decline)- in people with MS have remained challenging. Traditionally, administration of self-report questionnaires during in-person visits has been used to measure fatigue. However, remote measurement and monitoring of fatigue and fatigability have become feasible in the past decade. Traditional questionnaires can be administered through the web in any setting. The ubiquitous availability of smartphones allows for momentary and frequent measurement of MS fatigue in the ecological home-setting. This approach reduces the recall bias inherent in many traditional questionnaires and demonstrates the fluctuation of fatigue that cannot be captured by standard measures. Wearable devices can assess patients' fatigability and activity levels, often influenced by the severity of subjective fatigue. Remote monitoring of fatigue, fatigability, and activity in real-world situations can facilitate quantifying symptom-severity in clinical and research settings. Combining remote measures of fatigue as well as objective fatigability in a single construct, composite score, may provide a more comprehensive outcome. The more granular data obtained through remote monitoring techniques may also help with the development of interventions aimed at improving fatigue and lowering the burden of this disabling symptom.