In multiple sclerosis (MS), half of affected people are unemployed within 10 years of diagnosis. The aim of this study was to assess the economic impact of MS in adult subjects with relapsing-remitting MS (RRMS) and primary progressive MS (PPMS). A multicenter, non-interventional, cross-sectional study was conducted. The Expanded Disability Status Scale (EDSS) and the 23-item Multiple Sclerosis Work Difficulties Questionnaire (MSWDQ-23) were used to assess disability and work performance, respectively. Only indirect costs were considered using the human capital method, including work costs. Professional support costs and informal caregivers’ costs were also estimated. A total of 199 subjects were studied (mean age: 43.9 ± 10.5 years, 60.8% female, 86.4% with RRMS). Median EDSS score was 2.0 (interquartile range: 1.0–3.5) and median MSWDQ-23 total score was 31.5 (15.2, 50.0). The number of employed subjects decreased after MS diagnosis from 70.6 to 47.2%, and the number of retired people increased (23.6%). Mean age of retirement was 43.6 ± 10.5 years. Ten percent of the population had sick leaves (absenteeism was seen in 90.9% of the student population and 30.9% of the employed population). Professional support in their daily life activities was needed in 28.1% of subjects. Costs for sick leave, work absenteeism, premature retirement and premature work disability/pensioner were €416.6 ± 2030.2, €763.4 ± 3161.8, €5810.1 ± 13,159.0 and €1816.8 ± 9630.7, respectively. Costs for professional support and informal caregiving activities were €1026.93 ± 4622.0 and €1328.72, respectively. MS is responsible for a substantial economic burden due to indirect and informal care costs, even in a population with low physical disability.

Patient preferences for treatment of multiple sclerosis with disease-modifying therapies: a discrete choice experiment José Manuel Garcia-Dominguez,1 Delicias Muñoz,2 Marta Comellas,3 Irmina Gonzalbo,3 Luis Lizán,3 Carlos Polanco Sánchez4 1Multiple Sclerosis Unit, Hospital General Universitario Gregorio Marañon, Madrid, 2Neurology Department, Hospital Universitario Alvaro Cunqueiro, Vigo, 3Outcomes’10, Jaime I University, Castellón, 4Health Economics & Outcomes Research, Merck, Madrid, Spain Objectives: To assess disease-modifying therapy (DMT) preferences in a population of patients with multiple sclerosis (MS) and to estimate the association between sociodemographic and clinical factors and these preferences. Methods: Preferences for DMTs attributes were measured using a discrete choice experiment. Analysis of preferences was assessed using mixed-logit hierarchical Bayes regression. A multilinear regression was used to evaluate the association between the preferences for each attribute and patients’ demographic and clinical characteristics. A Student’s t-test or Welch’s t-test was used for subgroup comparisons. Results: A total of 125 patients were included in the final analysis (62.9% female, mean age 44.5 years, 71.5% with relapsing-remitting MS diagnosis). The most important factor for patients was the possibility of suffering from the side effects of the treatment (relative importance [RI] =50%), followed by a delay in disease progression (RI =19.4%), and route and frequency of administration (RI =14.3%). According to maximum acceptable risk, patients were willing to accept an increase of 3.8% in severity of side effects, for a delay of 1 year in disease progression. Treatment duration was the most prevalent factor affecting preferences, followed by the age of patients, type of MS, level of education, and the type of current treatment. Patients treated orally were significantly more concerned about the route and frequency of administration (P=0.026) than patients on injectable therapy. Naïve patients stated significantly less importance to prevention of relapses (P=0.021) and deterioration of the capacity for performing usual daily life activities (P=0.015). Finally, patients with >5 years since diagnosis were significantly less concerned about preventing disease progression (P=0.021), and more concerned about treatment side effects (P=0.052) than compared with patients with <5 years of MS history. Conclusion: The most important attribute for MS patients was side effects of DMTs, followed by delay in disability progression. Experience with DMTs and time since MS diagnosis changed patients’ preferences. These results give information to adjust new DMT treatment in order to satisfy patients’ preferences and therefore, improve adherence to treatment. Keywords: multiple sclerosis, preferences, conjoint analysis, discrete choice experiment

Background and purpose: Limited information is available on incidence and outcomes of COVID‐19 in patients with multiple sclerosis (MS). This study investigated the risks of SARS‐CoV‐2 infection and COVID‐19‐related outcomes in patients with MS, and compared these with the general population.Methods: A regional registry was created to collect data on incidence, hospitalization rates, intensive care unit admission, and death in patients with MS and COVID‐19. National government outcomes and seroprevalence data were used for comparison. The study was conducted at 14 specialist MS treatment centers in Madrid, Spain, between February and May 2020.Results: Two‐hundred nineteen patients were included in the registry, 51 of whom were hospitalized with COVID‐19. The mean age ± standard deviation was 45.3 ± 12.4 years, and the mean duration of MS was 11.9 ± 8.9 years. The infection incidence rate was lower in patients with MS than the general population (adjusted incidence rate ratio = 0.78, 95% confidence interval [CI] = 0.70–0.80), but hospitalization rates were higher (relative risk = 5.03, 95% CI = 3.76–6.62). Disease severity was generally low, with only one admission to an intensive care unit and five deaths. Males with MS had higher incidence rates and risk of hospitalization than females. No association was found between the use of any disease‐modifying treatment and hospitalization risk.Conclusions: Patients with MS do not appear to have greater risks of SARS‐CoV‐2 infection or severe COVID‐19 outcomes compared with the general population. The decision to start or continue disease‐modifying treatment should be based on a careful risk–benefit assessment.

Objective To understand COVID-19 characteristics in people with multiple sclerosis (MS) and identify high-risk individuals due to their immunocompromised state resulting from the use of disease-modifying treatments. Methods Retrospective and multicenter registry in patients with MS with suspected or confirmed COVID-19 diagnosis and available disease course (mild = ambulatory; severe = hospitalization; and critical = intensive care unit/death). Cases were analyzed for associations between MS characteristics and COVID-19 course and for identifying risk factors for a fatal outcome. Results Of the 326 patients analyzed, 120 were cases confirmed by real-time PCR, 34 by a serologic test, and 205 were suspected. Sixty-nine patients (21.3%) developed severe infection, 10 (3%) critical, and 7 (2.1%) died. Ambulatory patients were higher in relapsing MS forms, treated with injectables and oral first-line agents, whereas more severe cases were observed in patients on pulsed immunosuppressors and critical cases among patients with no therapy. Severe and critical infections were more likely to affect older males with comorbidities, with progressive MS forms, a longer disease course, and higher disability. Fifteen of 33 patients treated with rituximab were hospitalized. Four deceased patients have progressive MS, 5 were not receiving MS therapy, and 2 were treated (natalizumab and rituximab). Multivariate analysis showed age (OR 1.09, 95% CI, 1.04–1.17) as the only independent risk factor for a fatal outcome. Conclusions This study has not demonstrated the presumed critical role of MS therapy in the course of COVID-19 but evidenced that people with MS with advanced age and disease, in progressive course, and those who are more disabled have a higher probability of severe and even fatal disease.

Multiple studies have shown the importance of blood-based biomarkers indicating axonal damage (serum neurofilament light chains [sNfL]) or astroglia activation (serum glial fibrillary acidic protein [sGFAP]) for monitoring different neurological diseases. However, normal values of these variables remain to be clearly defined, partly due to the influence of different demographic factors. We investigated demographic differences in a cohort of healthy volunteers. A cross-sectional study was conducted including 116 healthy controls with ages between 18 and 69 years (67.5% females; n = 79). sNfL and sGFAP concentrations were measured using single-molecule arrays. Age and body mass index affected sNfL values, and age was found to be the most important factor. The normal values changed with age, and we established normal values for individuals younger than 45 years as <10 pg/mL and for controls older than 45 years as <15 pg/mL. We established normal values at <10 pg/mL for individuals younger than 45 years and <15 pg/mL for older individuals. Alternatively, a Z-score of 1.5 was relevant for all controls. sGFAP was only affected by age. Differences in normal values were evident by 55 years. The highest normality limit for sGFAP was 140 pg/mL for controls under 55 years and 280 for older controls. We defined normal levels for sNfL and sGFAP and their corresponding age-associated changes. These data may contribute to the application of such variables in clinical practice.

Background: The stigma associated with neurologic disorders plays a part in poor health-related quality of life. The eight-item Stigma Scale for Chronic Illness (SSCI-8) is a brief self-assessment tool for measuring perceived level of stigma. The psychometric performance of the SSCI-8 in people with multiple sclerosis (MS) was assessed. Methods: A multicenter, cross-sectional study in adults with relapsing-remitting or primary progressive MS was performed. A nonparametric item response theory procedure, Mokken analysis, was done to preliminarily study the dimensional structure of the SSCI-8. A confirmatory factor analysis (CFA) model was then fit, and the behavior and information covered by the eight items were assessed by parametric item response theory analysis. Results: A total of 201 patients (mean ± SD age, 43.9 ± 10.5 years; 60.2% female; 86.1% with relapsing-remitting MS) were studied. The Mokken analysis found that the SSCI-8 is a unidimensional strong scale (scalability index H = 0.56) with high reliability (Cronbach α = 0.88). The CFA model confirmed the unidimensionality (comparative fit index = 0.975, root mean square error of approximation = 0.077). The information covered by the SSCI-8 items ranges from 3.79 to 13.52, for a total of 66.56. More than half (66%) of the SSCI-8 overall information is conveyed by four items: 1 (“Some people avoided me”), 2 (“I felt left out of things”), 3 (“People avoided looking at me”), and 7 (“People were unkind to me”). Conclusions: The SSCI-8 shows appropriate psychometric characteristics and is, therefore, a useful instrument for assessing stigma in people with MS.