Symptom clusters and quality of life in persons with multiple sclerosis across the lifespan

Innovative Complementary Cooling Intervention for Women's Multiple Sclerosis Symptoms: A Mixed-Methods Study

Purpose: This mixed-methods study examined the relationship between multiple sclerosis symptoms to perceived severity, frequency of Uhthoff's phenomenon, the effectiveness of complementary cooling therapy on women's symptom clusters, and quality of life. This study explored the experiences of women with multiple sclerosis when using the Opal Cool Wrap related to heat intolerance, a complementary alternative therapy. Methods: Quantitative analysis of results from surveys from 62 women and seven qualitative semi-structured interviews with a subset of women who completed the surveys validated and illustrated the quantitative findings. Findings: Significant improvement in perceived severity for health transition, physical functioning, role-physical, bodily pain, and social functioning based on pre-/post-cooling therapy use. Three themes emerged from seven interviews: (1) being overheated impacts the quality of life; (2) cool wrap, a helpful tool for managing heat symptoms; and (3) strategies to remain cool. Conclusion: This study provides a comprehensive mixed-methods lens on the unique challenges women with multiple sclerosis face and information for disease management. Heat-related multiple sclerosis symptom clusters and Uhthoff's phenomenon women experience are common and impact safety, independence, health, and quality of life. Identifying complementary strategies such as cool showers and a cooling device to prevent and manage heat-related symptoms is a priority.

Impact of sleep quality on health-related quality of life domains and the mediating effects of symptoms in people with multiple sclerosis

PURPOSE

Many people living with multiple sclerosis (PwMS) experience poor sleep, which is associated with diminished overall health-related quality of life (HRQoL). We quantified associations between sleep quality and HRQoL domains and examined the extent to which other MS symptoms could account for these associations.

METHODS

In this cross-sectional survey of 1,717 Australians with MS, we used Assessment of Quality of Life (AQoL) 8D and Pittsburgh Sleep Quality Index (PSQI) to assess HRQoL and sleep quality, respectively. Total, direct, and indirect effects of sleep quality on HRQoL domains were determined using mediation regression analysis.

RESULTS

Poor sleep quality was significantly associated with all domains of HRQoL, with strongest associations seen for mental health (β=-0.08) and pain (β=-0.11), and weaker associations for independent living (β=-0.05) and senses (β=-0.03). Poor sleep quality had the largest direct effect on mental health (60.8%), happiness (48.7%), and pain (49.7%). MS symptom clusters mostly contributing to indirect effects were "feelings of anxiety and depression" for psychosocial, and "pain and sensory symptoms" for physical HRQoL super dimensions.

CONCLUSION

Improving sleep could lead to substantial improvements in all HRQoL domains and the improvement in HRQoL could be partially achieved through indirect improvements in sleep on MS symptoms.

The effect of fatigue, sleep quality and depression on quality of life in patients with multiple sclerosis: A serial mediation model

BACKGROUND

Fatigue, depression and sleep problems are among the most common symptoms in patients with multiple sclerosis (PwMS) and are correlated with each other. In addition, these symptoms can have a significant impact on quality of life. The aim of this study was to investigate the impact of these symptoms on two different aspects of quality of life, physical and mental health, using a serial mediation model.

METHOD

This descriptive cross-sectional study was conducted with 178 PwMS between April and December 2019. Fatigue levels of the patients was assessed with the Fatigue Severity Scale (FSS), sleep quality with the Pittsburgh Sleep Quality Index (PSQI), depressive mood with the Beck Depression Inventory (BDI), and quality of life with the Multiple Sclerosis Quality of Life-54 Scale (MSQoL-54). A serial mediation analysis was performed to explore relationships between the parameters. Depressive symptoms were considered as predictors, sleep and fatigue as potential mediators and two dimensions of quality of life as outcome variables.

RESULTS

The mean age of the 178 patients included in the study was 40.1 ± 11.0, and 66.3 % were female. Serial mediation analyses showed that higher depression scores were associated with poorer sleep quality (p < 0.01), and both increased depression and sleep problems were linked to greater fatigue (p < 0.01). The direct effect of depression, considered as a predictor in the model, on both sub-components of quality of life was negative and significant (p < 0.01). Additionally, depression was found to have an indirect effect on quality of life (both sub-component) in three different ways (p < 0.01). The first indirect effect was mediated through sleep, the second through fatigue, and the third through both sleep and fatigue. The direct and indirect effects of the depression variable accounted for 71 % of the variance in the physical health sub-component of quality of life (QoL-PHC). Similarly, the direct and indirect effects of the depression variable explained 63 % of the variance in the mental health sub-component of quality of life (QoL-MHC).

CONCLUSION

Depression was found to be an important predictor of quality of life (both sub-component) in PwMS. Sleep problems and fatigue were found to mediate the relationship between depression and physical and mental health related quality of life. Management of these symptoms, which significantly impact the quality of life, is critical.

The Effect of Pain, Fatigue, and Sleep Quality on Activities of Daily Living in Patients with Multiple Sclerosis by Gender: A Descriptive Study from Turkey

BACKGROUND

Multiple sclerosis (MS) is a chronic neurological disease that progresses with crisis and remission and causes significant psychosocial problems. Fatigue and sleep disorders are reported to be the most frequent problems that could change by gender and potentially affect daily living activities.

AIM

This study aimed to examine the effects of pain, fatigue, and sleep quality on the activities of daily living in patients with multiple sclerosis by gender.

METHODS

This cross-sectional study involved 188 patients with MS. G*Power 3.4.9 was used in the study sample estimation, and it was found that at least 111 women and 45 men individuals should be reached with 0.5 (medium) effect size, 80% power, 5% type I error, and 2.5 allocation ratio. Considering 10% data loss, the study was completed with 188 multiple sclerosis patients, 134 women and 54 men.

RESULTS

PwMS's pain, fatigue, sleep, and daily living activities were compared according to gender; it was found that the difference in the mean scores of women's PSQI subdimension "habitual sleep efficiency" was statistically significantly higher than that of men's (P < 0.05). A negative correlation was found between FIS scores and NEADL total scores and subdimension scores in men and women with MS (P < 0.05). In women with MS, the degree of fatigue being "important" (9.184 units) and "very important" (7.893 units) reduces daily living activities. In men with MS, "poor sleep quality" reduces activities of daily living (11.559 units).

CONCLUSION

According to gender, women's DLA was negatively affected by fatigue, while men's DLA was negatively affected by poor sleep quality. Therefore, increased sleep disorders in men and fatigue in women may cause a decrease in daily life activities.

Symptom burden and quality of life among patient and family caregiver dyads in advanced cancer

PURPOSE

Symptom management among patients diagnosed with advanced cancer is a high priority in clinical care that often involves the support of a family caregiver. However, limited studies have examined parallel patient and caregiver symptom burden and associations with their own and each other's quality of life (QOL). This study seeks to identify patient and caregiver symptom clusters and investigate associations between identified clusters and demographic, clinical, and psychosocial factors (cognitive appraisals and QOL).

METHODS

This study was a secondary analysis of self-reported baseline survey data collected from a randomized clinical trial of 484 adult advanced cancer patients and their caregivers. Latent class analysis and factor analysis were used to identify symptom clusters. Bivariate statistics tested associations between symptom clusters and demographic, clinical, and psychosocial variables.

RESULTS

The most prevalent symptom for patients was energy loss/fatigue and for caregivers, mental distress. Low, moderate, and high symptom burden subgroups were identified at the patient, caregiver, and dyad level. Age, gender, race, income, chronic conditions, cancer type, and treatment type were associated with symptom burden subgroups. Higher symptom burden was associated with more negative appraisals of the cancer and caregiving experience, and poorer QOL (physical, social, emotional, functional, and overall QOL). Dyads whose caregivers had more chronic conditions were more likely to be in the high symptom burden subgroup.

CONCLUSION

Patient and caregiver symptom burden influence their own and each other's QOL. These findings reinforce the need to approach symptom management from a dyadic perspective.

Machine learning-based cluster analysis identifies four unique phenotypes of patients with degenerative cervical myelopathy with distinct clinical profiles and long-term functional and neurological outcomes

BACKGROUND

Degenerative cervical myelopathy (DCM), the predominant cause of spinal cord dysfunction among adults, exhibits diverse interrelated symptoms and significant heterogeneity in clinical presentation. This study sought to use machine learning-based clustering algorithms to identify distinct patient clinical profiles and functional trajectories following surgical intervention.

METHODS

In this study, we applied k-means and latent profile analysis (LPA) to identify patient phenotypes, using aggregated data from three major DCM trials. The combination of Nurick score, NDI (neck disability index), neck pain, as well as motor and sensory scores facilitated clustering. Goodness-of-fit indices were used to determine the optimal cluster number. ANOVA and post hoc Tukey's test assessed outcome differences, while multinomial logistic regression identified significant predictors of group membership.

FINDINGS

A total of 1047 patients with DCM (mean [SD] age: 56.80 [11.39] years, 411 [39%] females) had complete one year outcome assessment post-surgery. Latent profile analysis identified four DCM phenotypes: "severe multimodal impairment" (n = 286), "minimal impairment" (n = 116), "motor-dominant" (n = 88) and "pain-dominant" (n = 557) groups. Each phenotype exhibited a unique symptom profile and distinct functional recovery trajectories. The "severe multimodal impairment group", comprising frail elderly patients, demonstrated the worst overall outcomes at one year (SF-36 PCS mean [SD]: 40.01 [9.75]; SF-36 MCS mean [SD], 46.08 [11.50]) but experienced substantial neurological recovery post-surgery (ΔmJOA mean [SD]: 3.83 [2.98]). Applying the k-means algorithm yielded a similar four-class solution. A higher frailty score and positive smoking status predicted membership in the "severe multimodal impairment" group (OR 1.47 [95% CI 1.07-2.02] and 1.58 [95% CI 1.25-1.99, respectively]), while undergoing anterior surgery and a longer symptom duration were associated with the "pain-dominant" group (OR 2.0 [95% CI 1.06-3.80] and 3.1 [95% CI 1.38-6.89], respectively).

INTERPRETATION

Unsupervised learning on multiple clinical metrics predicted distinct patient phenotypes. Symptom clustering offers a valuable framework to identify DCM subpopulations, surpassing single patient reported outcome measures like the mJOA.

FUNDING

No funding was received for the present work. The original studies were funded by AO Spine North America.

Impact of lower urinary tract symptoms in women with multiple sclerosis: an observational cross-sectional study

BACKGROUND

Lower urinary tract symptoms (LUTS) are common in women with multiple sclerosis.

OBJECTIVE

To investigate the impact of LUTS on pelvic floor muscle contraction, sexual function, and quality of life in women with multiple sclerosis.

METHODS

Thirty-nine women with relapsing-remitting multiple sclerosis were enrolled in this study. Participants were divided into the presence or not of LUTS. Assessments involved the Expanded Disability Status Scale score, the NEW PERFECT scheme, the Female Sexual Function Index, and the Qualiveen Questionnaire. Statistical procedures involved Student t-tests, chi-squared, and regression analyses (R2).

RESULTS

Nineteen women (48.7%) presented LUTS. Women with LUTS were in a more advanced stage of multiple sclerosis (p = .029), presented weaker pelvic muscle contraction (p = .009), less sexual function satisfaction (p = .018), and more limitations in the quality of life (p = .001) than women without LUTS. Regression analyses pointed out that the quality of life and sexual function of women with multiple sclerosis are affected by intercourse pain (R2 = 12.9) and perineal contraction force (R2 = 19.2).

CONCLUSION

LUTS affects pelvic floor muscle contraction, sexual function, and quality of life in women with multiple sclerosis. A multi-professional rehabilitation team should assist women with multiple sclerosis, taking special care of LUTS.

Relationship between quality of life, self-efficacy and social support in patients with multiple sclerosis

BACKGROUND

Multiple sclerosis (MS) causes patients' perceptions of self-efficacy and social support to decline. Patients with MS have to change day-to-day activities and encounter various physical and psychosocial problems while adapting to the new lifestyle.

AIMS

The research aimed to define the quality of life, self-efficacy and social support in patients with MS and to determine the relationship between quality of life, perception of self-efficacy and perceived social support. It is descriptive and correlational research. Data were collected using surveys.

METHODS

The sample consisted of 116 patients with MS. Patients who applied at the neurology in-patient and outpatient clinics between March 2021 and September 2021 were assessed for inclusion criteria. Written and verbal consent was obtained. The patients read and answered the questionnaires. Their quality of life was assessed using the Functional Assessment of Multiple Sclerosis Scale (FAMS). Self-efficacy perception was measured using the General Self-Efficacy Scale (GSE), and social support was assessed using the Multidimensional Scale of Perceived Social Support (MSPSS).

RESULTS

The study found that the other concerns, symptoms, thinking and fatigue were most negatively affected the quality of life subscales. Perception of self-efficacy was found to be moderate, while social support was high. Analyses revealed a positive correlation between MSPSS scores, FAMS scores and GSE scores (p<0.05).

CONCLUSION

Health professionals need to provide education and counselling to manage MS-related symptoms, use therapeutic communication techniques to improve self-efficacy, give positive reinforcement and cooperate with families to increase social support.

Depression, Anxiety, and Physical Activity in Older Adults With Multiple Sclerosis

This study examined levels of depression and anxiety symptoms (Hospital Anxiety and Depression Scale scores), and self-reported (Godin Leisure-Time Exercise Questionnaire), and accelerometer-measured physical activity in older adults with multiple sclerosis (n = 40) compared with age- and sex-matched healthy controls (n = 40). We observed differences in depression, anxiety, and physical activity between groups and further observed that minutes/day of moderate to vigorous physical activity partially accounted for group differences in depression scores. We provide preliminary support for research examining approaches for increasing moderate to vigorous physical activity and possibly reducing depression symptoms in older adults with multiple sclerosis.

Relationship of Motor Impairment with Cognitive and Emotional Alterations in Patients with Multiple Sclerosis

Introduction. Multiple sclerosis (MS) is a neurodegenerative disease that, despite mainly affecting women, is more severe in men and causes motor, cognitive and emotional alterations. The objective of this study was to determine the possible relationship between motor, cognitive and emotional alterations. Materials and Methods. This is a descriptive, observational and cross-sectional study, with 67 patients with MS (20 men and 47 women), who were given the following questionnaires: Expanded Disability Status Scale (EDSS), Two-Minute Walk Test (2MWT), Berg Balance Scale, Beck’s Depression Inventory (BDI-II), State-Trait Anxiety Inventory (STAI) and Prefrontal Symptoms Inventory (PSI) to analyze their cognitive level, body mass index (BMI) and percentage of muscle mass. In addition, regression analysis was conducted to study the relationship among variables. Results. No significant differences were found between men and women in any of the variables. Regarding the relationship between parameters, the regression analysis was statistically significant, showing an effect of age on the walking and balance performance (β ≅ −0.4, p < 0.05); in addition, there was a relationship between 2MWT and STAI A/S, indicating that both older age and a high anxiety state could impact walking performance. On the other hand, prefrontal symptoms showed moderate relationships with both anxiety and depression (β ≅ 0.6, p < 0.05); thus, high levels of anxiety and depression could increase prefrontal alterations. Conclusions. There is a relationship between motor and emotional variables. Specifically, state anxiety is related to walking resistance. No relationship was found between depression and cognitive alteration and balance or walking ability. Only age has an effect in these relationships.

Health-Related Quality of Life and Physical Activity in Older Adults With Multiple Sclerosis

BACKGROUND

People with multiple sclerosis (MS) are living longer but not necessarily better lives, and this portends reduced health-related quality of life (HRQOL). Physical activity (PA) may be a correlate of HRQOL for people with MS. We examined differences in HRQOL and PA between older adults with and without MS to determine whether PA is associated with HRQOL and whether it accounts for group differences in HRQOL.

METHODS

Thirty-one older adults with MS and 30 age- and sex-matched controls without MS completed the 36-Item Short Form Health Survey (SF-36) and the Godin Leisure-Time Exercise Questionnaire (GLTEQ). Data were analyzed using the Baron and Kenny approach for examining PA via the GLTEQ as a mediator of group differences in HRQOL.

RESULTS

The MS group had significantly lower component scores on the SF-36 and the GLTEQ than the control group. The GLTEQ scores were correlated with SF-36 physical component scores (r = 0.52), whereas the correlation with mental component scores (r = 0.23) was small and nonsignificant. Group assignment initially explained 31% of the variance in physical component scores (β = 0.55) and adding GLTEQ to the model accounted for an additional 12% of the variance in physical component scores. Thus, group (β = 0.42) and GLTEQ (β = 0.37) were both significant correlates of physical component scores. The group effect was modestly attenuated with the addition of GLTEQ in step 2 (step 1 β = 0.55; step 2 β = 0.42) and indicated partial rather than full mediation.

CONCLUSIONS

These results provide cross-sectional support for future research examining approaches to increase PA to possibly improve the physical component of HRQOL in older adults with MS.

Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany

Background: Multiple sclerosis (MS) is a chronic, progressive neurological autoimmune disease impacting quality of life. BRISA is an app designed to help MS patients in Germany track their disease course by symptom-monitoring. This study aimed to understand demographic and health-related characteristics of BRISA users. Methods: Demographic data provided by 2095 users were analyzed to describe characteristics such as sex, age, type of MS, and medication. The distribution of tracked symptoms based on age and time since diagnosis were studied. Furthermore, the covariance of specific symptom pairs was analyzed. Results: BRISA users are predominantly female and between 26 and 55 years old. Relapsing–remitting MS was the most prevalent form of MS. First-line category 1 drugs were most frequently used, followed by high-efficacy category 3 drugs (e.g., monoclonal antibodies). The relative frequencies of use of category 1 and category 2 drugs (e.g., spingosine-1-phosphate-receptor modulators) significantly altered with time since diagnosis. Fatigue, concentration disorders, tingling, forgetfulness, and pain were the top five symptoms affecting users. Conclusion: The results highlight the diversity among MS patients and the need for extensive cohort characterization in the real-world scenario. In-depth analysis could help in identifying novel insights that could aid in disease management.

Symptom Interconnectivity in Multiple Sclerosis: A Narrative Review of Potential Underlying Biological Disease Processes

Introduction

Fatigue, cognitive impairment, depression, and pain are highly prevalent symptoms in multiple sclerosis (MS). These often co-occur and may be explained by a common etiology. By reviewing existing literature, we aimed to identify potential underlying biological processes implicated in the interconnectivity between these symptoms.

Methods

A literature search was conducted to identify articles reporting research into the biological mechanisms responsible for the manifestation of fatigue, cognitive impairment, depression, and pain in MS. PubMed was used to search for articles published from July 2011 to July 2021. We reviewed and assessed findings from the literature to identify biological processes common to the symptoms of interest.

Results

Of 693 articles identified from the search, 252 were selected following screening of titles and abstracts and assessing reference lists of review articles. Four biological processes linked with two or more of the symptoms of interest were frequently identified from the literature: (1) direct neuroanatomical changes to brain regions linked with symptoms of interest (e.g., thalamic injury associated with cognitive impairment, fatigue, and depression), (2) pro-inflammatory cytokines associated with so-called ‘sickness behavior,’ including manifestation of fatigue, transient cognitive impairment, depression, and pain, (3) dysregulation of monoaminergic pathways leading to depressive symptoms and fatigue, and (4) hyperactivity of the hypothalamic–pituitary-adrenal (HPA) axis as a result of pro-inflammatory cytokines promoting the release of brain noradrenaline, serotonin, and tryptophan, which is associated with symptoms of depression and cognitive impairment.

Conclusion

The co-occurrence of fatigue, cognitive impairment, depression, and pain in MS appears to be associated with a common set of etiological factors, namely neuroanatomical changes, pro-inflammatory cytokines, dysregulation of monoaminergic pathways, and a hyperactive HPA axis. This association of symptoms and biological processes has important implications for disease management strategies and, eventually, could help find a common therapeutic pathway that will impact both inflammation and neuroprotection.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-022-00368-2.

The Relationship Between Smoking and Multiple Sclerosis Severity in Saudi Arabia

Introduction Multiple sclerosis (MS) is an autoimmune disease that can be disabling to patients. Smoking has been proposed to be a risk factor for MS and to increase the risk of progression of the disease and its severity. However, it is still not clear how smoking affects people with MS (PwMS) regarding disease phenotype, symptoms, relapses, course, and disability. The aim of this study is to investigate the effect of smoking on PwMS in Saudi Arabia. Methods This is an online questionnaire-based cross-sectional study. PwMS were randomly contacted through different MS societies and associations to participate in the study. The questionnaire inquired about demographics, MS phenotype and severity, and smoking status of the participants. Data were collected between May 30, 2021, and July 5, 2021. Results Four hundred twenty-nine PwMS participated in the study. The mean age was 33.7, with a mean disease duration of 8.1 years. About 61.1% of the participants were female. About 62.2% did not know the specific MS phenotype they have. About 35.7% were current or previous smokers, with a mean smoking duration of 13.9 years. Smoking was significantly associated with the presence of multiple MS symptoms (p-value = 0.009) and their number (p-value = 0.050). In addition, there was a significant positive correlation between pack-years smoking and the number of MS symptoms with a Pearson's r value of 0.165 (p-value = 0.001). No significant associations were found between smoking and recent relapses and disease progression, disability in terms of walking, needing a cane, or needing a wheelchair. Conclusion Smoking was shown to have a significant effect on the number of symptoms experienced by PwMS. Higher pack-years of smoking correlates positively and significantly with a higher number of MS symptoms. Further studies to examine these relations are hence warranted.