Engagement with three or more healthy lifestyle behaviours is associated with improved quality of life over 7.5 years in people with multiple sclerosis.

BACKGROUND AND PURPOSE: People with multiple sclerosis (pwMS) report reduced quality of life (QoL). Engagement with healthy lifestyle behaviours, including consuming a healthy diet, regular physical activity, and adequate vitamin D exposure, is associated with higher QoL. We aim to assess whether individual lifestyle behaviours are more beneficial to QoL than others, and whether there are additive benefits to QoL by engaging in multiple healthy behaviours concurrently. METHODS: Data from pwMS who completed an online survey at baseline, and at 2.5-, 5- and 7.5-year follow-up, were analysed. Behaviours assessed were consumption of a no-meat/dairy-plus-omega-3 supplementation diet, meditation practice, physical activity, non-smoking, and vitamin D exposure. Mental QoL (mQoL) and physical QoL (pQoL) were assessed by the Multiple Sclerosis Quality of Life (MSQOL-54) questionaire. Linear regression analyses were performed to assess associations of individual behaviours at baseline and follow-up time points with QoL, as well as between number of behaviours and QoL. RESULTS: At baseline, healthy diet and regular physical activity were associated with higher mQoL (5.3/100 and 4.0/100) and higher pQoL (7.8/100 and 6.7/100). Prospectively, diet was positively associated with mQoL, and physical activity with both mQoL and pQoL. At baseline, engagement with ≥3 behaviours was positively associated with mQoL and pQoL, with additive positive associations for each additional behaviour. Prospectively, engagement with ≥3 behaviours was positively associated with mQoL and pQoL, with strongest associations observed with engagement with five behaviours. CONCLUSION: Consumption of a healthy diet, and regular physical activity, are both potential interventions to improve QoL. Engagement with multiple lifestyle behaviours may provide additional benefits and should be encouraged and supported for multiple sclerosis management.

Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis.

BACKGROUND AND OBJECTIVES: People with multiple sclerosis (MS) are a vulnerable group for severe coronavirus disease 2019 (COVID-19), particularly those taking immunosuppressive disease-modifying therapies (DMTs). We examined the characteristics of COVID-19 severity in an international sample of people with MS. METHODS: Data from 12 data sources in 28 countries were aggregated (sources could include patients from 1-12 countries). Demographic (age, sex), clinical (MS phenotype, disability), and DMT (untreated, alemtuzumab, cladribine, dimethyl fumarate, glatiramer acetate, interferon, natalizumab, ocrelizumab, rituximab, siponimod, other DMTs) covariates were queried, along with COVID-19 severity outcomes, hospitalization, intensive care unit (ICU) admission, need for artificial ventilation, and death. Characteristics of outcomes were assessed in patients with suspected/confirmed COVID-19 using multilevel mixed-effects logistic regression adjusted for age, sex, MS phenotype, and Expanded Disability Status Scale (EDSS) score. RESULTS: Six hundred fifty-seven (28.1%) with suspected and 1,683 (61.9%) with confirmed COVID-19 were analyzed. Among suspected plus confirmed and confirmed-only COVID-19, 20.9% and 26.9% were hospitalized, 5.4% and 7.2% were admitted to ICU, 4.1% and 5.4% required artificial ventilation, and 3.2% and 3.9% died. Older age, progressive MS phenotype, and higher disability were associated with worse COVID-19 outcomes. Compared to dimethyl fumarate, ocrelizumab and rituximab were associated with hospitalization (adjusted odds ratio [aOR] 1.56, 95% confidence interval [CI] 1.01-2.41; aOR 2.43, 95% CI 1.48-4.02) and ICU admission (aOR 2.30, 95% CI 0.98-5.39; aOR 3.93, 95% CI 1.56-9.89), although only rituximab was associated with higher risk of artificial ventilation (aOR 4.00, 95% CI 1.54-10.39). Compared to pooled other DMTs, ocrelizumab and rituximab were associated with hospitalization (aOR 1.75, 95% CI 1.29-2.38; aOR 2.76, 95% CI 1.87-4.07) and ICU admission (aOR 2.55, 95% CI 1.49-4.36; aOR 4.32, 95% CI 2.27-8.23), but only rituximab was associated with artificial ventilation (aOR 6.15, 95% CI 3.09-12.27). Compared to natalizumab, ocrelizumab and rituximab were associated with hospitalization (aOR 1.86, 95% CI 1.13-3.07; aOR 2.88, 95% CI 1.68-4.92) and ICU admission (aOR 2.13, 95% CI 0.85-5.35; aOR 3.23, 95% CI 1.17-8.91), but only rituximab was associated with ventilation (aOR 5.52, 95% CI 1.71-17.84). Associations persisted on restriction to confirmed COVID-19 cases. No associations were observed between DMTs and death. Stratification by age, MS phenotype, and EDSS score found no indications that DMT associations with COVID-19 severity reflected differential DMT allocation by underlying COVID-19 severity. DISCUSSION: Using the largest cohort of people with MS and COVID-19 available, we demonstrated consistent associations of rituximab with increased risk of hospitalization, ICU admission, and need for artificial ventilation and of ocrelizumab with hospitalization and ICU admission. Despite the cross-sectional design of the study, the internal and external consistency of these results with prior studies suggests that rituximab/ocrelizumab use may be a risk factor for more severe COVID-19.

Depression mediates the relationship between fatigue and mental health-related quality of life in multiple sclerosis.

BACKGROUND: Fatigue is among the most prevalent symptoms for people with multiple sclerosis (pwMS) and is significantly detrimental to mental health-related (mental) quality of life (QoL). We examined the role of depression and physical activity as mediators in the fatigue-QoL relationship in pwMS. METHODS: Using baseline cross-sectional data from an international cohort of 2,104 pwMS, characteristics of fatigue and mental QoL, measured by Fatigue Severity Scale and MSQOL-54 respectively, were assessed using linear and log-binomial regression. Structural Equation Models (SEM) were used to explore the mediating roles of depression and physical activity between fatigue and mental QoL. RESULTS: The median mental QoL score was 71.9/100. The mean fatigue score was 41.5/63, with 65.6% participants having clinically significant fatigue. In the SEM evaluating depression as a mediator of the fatigue-QoL relationship, mental QoL was 14.72 points lower (95% CI: -16.43 -13.01, p<0.001) in participants with clinically significant fatigue, of which depression accounted for 53.0% (-7.80, 95% CI: -9.03 -6.57, p<0.001). In the SEM evaluating physical activity as a mediator of the fatigue-QoL relationship, mental QoL was 10.89 points lower (95% CI: -12.47, -9.32, p<0.001) in participants with clinically significant fatigue, of which the indirect effect via physical activity accounted for only 4.4% (-0.48, 95% CI: -0.81, -0.14, p=0.005). CONCLUSION: Depression accounted for the majority of the fatigue-mental QoL relationship when modelled as a mediator, while physical activity had only a minor role. Our findings may inform the development of treatments for reducing the impacts of fatigue and improving mental QoL in pwMS.