Fatigue and Sleep in Multiple Sclerosis Patients: A Comparison of Self-Report and Performance-Based Measures

Detecting fatigue in multiple sclerosis through automatic speech analysis

Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central nervous system demyelination and axonal degeneration. Fatigue affects a major portion of MS patients, significantly impairing their daily activities and quality of life. Despite its prevalence, the mechanisms underlying fatigue in MS are poorly understood, and measuring fatigue remains a challenging task. This study evaluates the efficacy of automated speech analysis in detecting fatigue in MS patients. MS patients underwent a detailed clinical assessment and performed a comprehensive speech protocol. Using features from three different free speech tasks and a proprietary cognition score, our support vector machine model achieved an AUC on the ROC of 0.74 in detecting fatigue. Using only free speech features evoked from a picture description task we obtained an AUC of 0.68. This indicates that specific free speech patterns can be useful in detecting fatigue. Moreover, cognitive fatigue was significantly associated with lower speech ratio in free speech (ρ = -0.283, p = 0.001), suggesting that it may represent a specific marker of fatigue in MS patients. Together, our results show that automated speech analysis, of a single narrative free speech task, offers an objective, ecologically valid and low-burden method for fatigue assessment. Speech analysis tools offer promising potential applications in clinical practice for improving disease monitoring and management.

The prevalence of insomnia in multiple sclerosis: A meta-analysis

Insomnia is a common complaint for adults with multiple sclerosis and can severely impact health-related quality of life. Point prevalence estimates of insomnia are, however, difficult to determine in this population due to the use of different measurement tools as well as the highly variable clinical presentation of multiple sclerosis. This review consolidates the current evidence base to provide a global estimate of insomnia disorders and symptoms in multiple sclerosis, with consideration of both measurement and sample issues. A comprehensive review of the PUBMED, EMBASE, PsycINFO and CINAHL databases from database inception until January 31st, 2023 identified 1649 records, of which 34 (7636 participants total) were eligible for inclusion. Findings were meta-analysed using a random-effects model. Estimates based on self-reported symptoms (52%, CI: 44%-59%) were significantly higher than those obtained by diagnostic tools (22%, CI: 16%-29%). Gender was identified as a potential moderator, with women more likely to report insomnia than men. One in two adults with multiple sclerosis endorse symptoms of poor sleep quality and daytime sleepiness, with 1 in 5 diagnosed with an insomnia disorder. Future research is needed to enhance understanding of these comorbid conditions, including the trajectory of insomnia with disease progression. PROSPERO registration number CRD42021281524.

Effect of COVID-19 home confinement on sleep monitorization and cardiac autonomic function in people with multiple sclerosis: A prospective cohort study✰,✰✰

BACKGROUND

Low sleep quality, cardiac autonomic dysfunction and poor quality of life are some of the most prevalent symptoms in people with Multiple Sclerosis (MS). In addition to the progression of the disease, these symptoms are aggravated by physical inactivity. Therefore, home confinement due to COVID-19 pandemic restrictions could further worsen these symptoms. This study aims to analyze the effect of home confinement on objective and subjective sleep quality, cardiac autonomic control based on heart rate variability (HRV), and health-related quality of life in people with MS.

METHODS

Actigraphic and subjective sleep quality (Karolinska Sleep Diary, KSD), HRV (Polar-H7), and quality of life (Multiple Sclerosis Quality of Life-54) were measured before and after 2 months of home confinement in 17 people with MS (7:10 men/women; age: 43.41±10.88 years; body mass index: 24.87±3.31 kg/m²; Expanded Disability Status Scale: 2.85±1.34 a.u.).

RESULTS

Actigraphic sleep quality (sleep efficiency: ES=1.27, p = 0.01, sleep time: ES=0.81, p = 0.01) and subjective sleep quality (sleep quality: ES=-0.34, p = 0.05), sleep comfort: ES=0.60; p = 0.03, ease of falling asleep: ES=0.70; p = 0.01, ease of waking up: ES=0.87, p<0.01, and having enough sleep: ES=0.87, p<0.01) significantly decreased after home confinement. No differences were observed in HRV or quality of life variables (p ≥ 0.13).

CONCLUSIONS

Home confinement has worsened the sleep quality, but not in cardiac autonomic control or quality of life, in people with MS. These data highlight the importance of implementing home physical training programs in this population when situations similar to home confinement occur, thus minimizing the negative effects of physical inactivity and their associated comorbidities.

Prevalence of non-motor symptoms and their association with quality of life in cervical dystonia

OBJECTIVES

Non-motor symptoms (NMS) are commonly present along with motor impairment in patients with cervical dystonia (CD) and have a significant impact on health-related quality of life (HRQoL). However, the prevalence of NMS and their association with dystonia are still unclear. The aim of our study was to assess the prevalence of depression, anxiety, fatigue, apathy, pain, sleep problems, and excessive daytime sleepiness (EDS) in CD using different evaluation approaches and to explore their association with HRQoL relative to that of motor symptoms.

MATERIALS AND METHODS

We enrolled 102 Slovak patients with CD. The severity of both motor and non-motor symptoms was assessed using validated scales. HRQoL was determined by the 36-item Short Form Health Survey (SF-36). Association of NMS with poor HRQoL was assessed using multiple regressions.

RESULTS

The most frequent NMS in our sample were sleep impairment (67.3%), anxiety (65.5%), general and physical fatigue (57.5% and 52.9%, respectively), depression (47.1%), mental fatigue (31.4%), apathy (30.4%), reduced activity (29.4%), EDS (20.2%), and reduced motivation (18.6%). Univariate analysis showed that NMS, but not motor symptoms, were significantly linked to poor HRQoL, with EDS being most commonly associated with poor HRQoL, followed by disrupted sleep, depression, and fatigue.

CONCLUSIONS

The prevalence of NMS among patients with CD is high, and some NMS are strongly associated with poor HRQoL, while motor impairment was not associated with the severity of NMS or poor HRQoL. Actively diagnosing and treating NMS should therefore be a routine part of the clinical management of patients with CD.

Real-time assessment of daytime sleepiness in drivers with multiple sclerosis

BACKGROUND

Daytime sleepiness is a common symptom of multiple sclerosis (MS) that may jeopardize safe driving. Our aim was to compare daytime sleepiness, recorded in real-time through eyelid tracking, in a simulated drive between individuals with MS (iwMS) and healthy controls.

METHODS

Fifteen iwMS (age = median (Q1 - Q3), 55 (50 - 55); EDSS = 2.5 (2 - 3.5); 12 (80%) female) were matched for age, sex, education, and cognitive status with 15 controls. Participants completed self-reported fatigue and sleepiness scales including the Modified Fatigue Impact Scale (MFIS), Pittsburg Sleep Quality Inventory (PSQI), and Epworth Sleepiness Scale (ESS). Percentage of eyelid closure (PERCLOS) was extracted from a remote eye tracker while completing a simulated drive of 25 min.

RESULTS

Although iwMS reported more symptoms of fatigue (MFIS, p = 0.003) and poorer sleep quality (PSQI, p = 0.008), they did not report more daytime sleepiness (ESS, p = 0.45). Likewise, there were no differences between groups in real-time daytime sleepiness, indexed by PERCLOS (p = 0.82). Both groups exhibited more real-time daytime sleepiness as they progressed through the drive (time effect, p < 0.0001). The interaction effect of group*time (p = 0.05) demonstrated increased symptoms of daytime sleepiness towards the end of the drive in iwMS compared to controls. PERCLOS correlated strongly (Spearman ρ = 0.76, p = 0.001) with distance out of lane in iwMS.

CONCLUSION

IwMS show exacerbated symptoms of daytime sleepiness during a monotonous, simulate drive. Future studies should investigate the effect of MS on daytime sleepiness during real-world driving.

In search of distinct MS-related fatigue subtypes: results from a multi-cohort analysis in 1.403 MS patients

Fatigue is among the most disabling symptoms in patients with multiple sclerosis (PwMS). The common distinction between cognitive and motor fatigue is typically incorporated in self-rating instruments, such as the Chalder Fatigue Questionnaire (CFQ), the Fatigue Scale for Motor and Cognitive Functions (FSMC) or the Modified Fatigue Impact Scale (MFIS). The present study investigated the factor structure of the CFQ, the FSMC and the MFIS utilizing exploratory (EFA) and confirmatory factor analysis (CFA) as well as exploratory structural equation modeling (ESEM). Data of 1.403 PwMS were analyzed, utilizing four samples. The first sample (N = 605) was assessed online and split into two stratified halves to perform EFA, CFA, and ESEM on the CFQ and FSMC. The second sample (N = 293) was another online sample. It served to calculate CFA and ESEM on the CFQ and FSMC. The third sample was gathered in a clinical setting (N = 196) and analyzed by applying CFA and ESEM to the FSMC. The fourth sample (N = 309) was assessed in a clinical setting and allowed to run a CFA and ESEM on the MFIS. Proposed factor structures of all questionnaires were largely confirmed in EFA. However, none of the calculated CFAs and ESEMs could verify the proposed factor structures of the three measures, even with oblique rotation techniques. The findings might have implications for future research into the pathophysiological basis of MS-related fatigue and could affect the suitability of such measures as outcomes for treatment trials, presumably targeting specific sub-components of fatigue.