Background

Multiple-Sclerosis-Partners-Advancing-Technology-Health-Solutions (MSPATHS) is an international multicentre digital database that collects clinical information provided directly by patients together with standardized MRI and biomarkers.

Objectives

We identify a Benign multiple sclerosis (BMS) population using Patient-Determined-Disease-Steps (PDDS) as a proxy for EDSS. We describe its physical and non-physical characteristics, and explore the features that best discriminate BMS.

Methods

Cross-sectional study of MSPATHS patients (Feb 2019). In patients with disease duration ≥10 years, BMS was considered when PDDS score<2. We compared BMS and non-BMS in terms of (1)socio-demographic and clinical characteristics, (2)physical status (lower and upper extremity function by Neuro-QoL (LUEF-NQ) and neurological performance tests: walking speed test (WST), manual dexterity test (MDT), processing speed test (PST), contrast sensitivity test (CST)) and non-physical symptoms (anxiety, depression, fatigue, among other NQ domains), and (3)MRI (gadolinium enhancement and new T2 lesions). We built a random forest model to estimate the importance of each variable. Cohen’s d was used for descriptive statistics to categorize differences in small (d=0.2-0.5), medium (d=0.5-0.8) and large (d>0.8). A sensitivity analysis with a 1:1 matched cohort by disease duration was performed.

Results

From 15,257 patients included, 8,349 had a disease duration ≥10 years and 3,852 (46.1%) were classified as BMS. (1)BMS and non-BMS patients were similar for gender, age at disease onset and diagnosis, ethnicity, years of education and smoking status. Compared to non-BMS, BMS had small differences in disease duration (median, 17.2 (12,9-23,4) vs. 20.9 (15,1-28,8 years); d=0.39) but medium/large differences in (2)physical status (LUEF-NQ d=2.06 and 1.53, WST d=0.81, MDT d=0.97, PST d=0.82 and CST d=0.56), as well as, in all non-physical symptoms evaluated by NQ (anxiety d=0.53, depression d=0.69, fatigue d=0.84, stigma d=1.32, cognition d=0.69, social role satisfaction (SRS) d=1.11 and participation (SRP) d=1.19). (3)No differences were found on MRI activity. With 0.88 sensitivity and 0.86 specificity, LUEF-NQ was the most contributing variable for the random forest followed by stigma, SRP, WST, and SRS. The sensitivity analysis showed similar results.

Conclusions

PDDS seems to be a useful disability proxy to identify BMS when using digital technology. LUEF-NQ, stigma, SRP and SRS seem to better discriminate BMS.

Background

Rituximab (RTX) is an anti-CD20 monoclonal antibody, widely used as an off-label treatment for multiple sclerosis (MS). Despite well-known efficacy and safety, RTX regimen has not yet been standardized.

Objectives

We aimed to compare efficacy and safety data of two different rituximab doses at two large Catalan multiple sclerosis centres.

Methods

A two-centre ambispective study considering all MS patients that have received at least one RTX cycle until February 2020 was conducted. In Barcelona centre (BC), RTX regimen used was 2g intravenously (IV), at least during 3 cycles, followed by 1g every 6 months, while in Girona centre (GC), was 2g IV, at least the first cycle, followed by 500mg every 6 months. Patients were clinically followed every 6 months with lab tests, and brain MRI scans were performed at baseline and yearly thereafter. Baseline clinical, radiological and demographic characteristics were collected. Annual relapse rate (ARR), contrast-enhancing lesions (CELs) and new T2 lesions at one and third year on treatment, as well as EDSS changes at last follow-up visit, were evaluated. Also, the dynamics of CD19% lymphocytes and IG immunoglobulin (IgG) values in serum, as well as the incidence of adverse events (AE) were described.

Results

A total of 303 patients (249 at BC and 54 at GC) were included. Main reason to start RTX was clinical progression plus inflammatory activity (clinical, radiological or both) (45.8% BC vs 79.6% GC). No differences on age at RTX onset, gender and disease duration were found between both centres. At baseline, mean ARR was 0.37±0.6 (BC) vs. 0.33±0.5 (GC); median EDSS was 5.5 (1-9.0) (BC) vs. 6.0 (1-8.0) (GC); and proportion of MRI with CELs was 32.4% (BC) vs. 42.6% (GC). ARR decrease to 0.05 (87.5%, p<0.001) for BC vs. 0.03 (90.3%, p=0.018) for GC at first year, and to 0.08 (88.3%, p=0.016) vs. 0 (100%, p=0.172) at third year. Considering only progressive MS phenotypes, 79.4% vs. 71.4% of patients remained stable or improved the EDSS. Regarding MRI findings, percentages of patients with CELs and new T2 lesions (BC vs GC) were 2.7% vs. 8% and 19% vs. 16% at one year; and 0% vs. 0% and 12% vs. 0% at third year. AE incidence was higher at BC during the first year (14.8% vs 4.1%). No difference in the dynamics of CD19% lymphocytes was found, while IgG values decreased significantly in the BC cohort throughout the first 3 years.

Conclusions

In the treatment of multiple sclerosis, low doses of rituximab seem to offer similar effectiveness with better safety profile than high doses.

Background

In the present pandemic, gathering information regarding Multiple Sclerosis (MS) patients with COVID-19 is needed.

Objectives

To investigate the incidence of COVID-19 in a Barcelona cohort of MS patients, to describe the characteristics of MS patients with COVID-19, and to identify risk factors for susceptibility and severity.

Methods

Retrospective cohort study of adult MS patients included from February to May 2020. COVID-19 and non-affected cases were identified through a COVID-19 mail survey and clinical visits. Demographic, clinical, MS characteristics, and laboratory data (lymphocyte and CD19+ count, immunoglobulins, and vitamin D) were obtained. Serological SARS-CoV-2 testing was performed in all suspected cases. We examined the relationship between the previously mentioned variables with COVID-19 susceptibility and severity.

Results

Out of the 2903 surveys sent, a total of 875 were answered. 117 (13.37%) patients were excluded for not meeting inclusion criteria. 48 out of 758 were suspected COVID-19 and the remaining were classified as non-COVID-19. The estimated incidence was 6.3%. 45 additional suspected COVID-19 cases were detected in clinical visits. In the multivariate analysis, COVID-19 susceptibility was associated with being younger (OR 0.54, IC95% 0.34-0.87,p<0.01), having had contact with a confirmed case (OR 193.20, IC95% 55.34-674.43,p<0.01), living in Barcelona (OR 2.35, IC95% 1.08-5.09, p=0.03) and a longer MS disease duration (OR 1.43, IC95% 1.10-1.85,p<0.01). In patients treated with an anti-CD20 therapy, COVID-19 susceptibility increased with treatment duration (OR 3.36, IC95% 1.42-7.96, p<0.01). 19 (20.43%) of the 93 COVID-19 cases were hospitalized, 9(9.68%) presented a severe course and 2(2.15%) of them died. In the univariate analysis, older patients with comorbidities, a progressive and longer MS duration, and without disease-modifying therapies, presented a more severe disease although these results were not observed in the multivariate analysis. Out of the 79 (84.9%) with serological test, 45.6% had generated antibodies and 17.6% in patients receiving anti-CD20. No relation of lymphopenia, vitamin D, or immunoglobulins levels with COVID-19 susceptibility or severity was found.

Conclusions

MS patients present similar incidence, risk factors, and outcomes for COVID-19 than the general population. Patients treated with an anti-CD20 therapy for a longer period of time might be in a higher risk of COVID-19 and of generating lower antibody response.

Background

In the constantly evolving field of MS, personalized medicine is still one of the most important unmet need that requires further attention

Objectives

We aimed to develop a dynamic risk calculator to predict the long-term prognosis of MS in the context of a large MS Centre in Catalonia

Methods

This is an observational study based on data prospectively acquired from a deeply phenotyped CIS cohort from Barcelona. We first built a natural history baseline risk score (BRS) for predicting moderate disability, integrating baseline prognostic factors: Sex, age at CIS, CIS topography, number of T2 lesions, contrast-enhancing lesions (CEL) and oligoclonal bands. This BRS was designed as follows: For untreated patients, we built a Weibull model to estimate the median time to confirmed EDSS 3.0 and with these estimates we identified risk groups based on the median of the cut-offs of 2000 survival trees. Then we obtained the BRS of the full cohort. In patients with more than ten years of follow-up, we performed an inverse probability weighting to balance patients during their follow up for the propensity of being treated or lost to follow-up. The weights were estimated via a proportional hazards (PH) Cox model considering both baseline information (CIS year, BRS) and time-dependent (diagnosis status, new T2 lesions, CEL and cumulative number of relapses). Finally, a weighted PH Cox model was built to estimate the time to confirmed EDSS 3.0 considering the BRS and time-dependent events (new T2 lesions, cumulative number of relapses and first or second-line treatment use). Sensitivity analyses using other disability outcomes and different follow-ups were conducted.

Results

Of 956 patients, 577 (60.4%) were untreated before confirmed EDSS 3.0. Two BRS were obtained: low and high-BRS. Of 400 patients followed for more than ten years, 226 (56.5%) were low-BRS and 174 (43.5%) were high-BRS. High-BRS showed a HR=2.16 95%CI (1.16,4.02). Each new T2 lesion presented HR=1.04 95%CI (1.00,1.08) and each new relapse HR=1.46 95%CI (1.23,1.74). Being on second-line treatment showed a protective effect (HR=0.23 95%CI (0.06,0.94)) but no association was found for first-line treatments (HR=1.32 95%CI (0.67,2.60). Sensitivity analyses confirmed the association between BRS, new T2 lesions and the accumulation of relapses with the prognosis. However, treatment results were inconclusive.

Conclusions

Presenting a high-BRS doubles the risk of reaching moderate disability. Each new lesion and new relapse increses the risk by 4% and 46%, respectively; and second-line treatments seem to be protective. If validated, this risk calculator could be a crucial step to personalized medicine.

Background

There is a growing body of literature highlighting the role that wearable and mobile remote monitoring technology (RMT) can play in the assessment of Multiple Sclerosis (MS) and how it could improve clinical care and improve efficiency of research.

The Remote Assessment of Disease and Relapse in the Central Nervous System (RADAR-CNS) study is a pan-European consortium aimed to improve the management of different CNS disorders such as MS, Epilepsy or Major Depression using smartphones and wearable devices.

Most of the available data are based in small monocentric studies, however the full validation of these digital devices requires multicenter, well designed studies providing information on feasibility and acceptability.

Objectives

We aimed to describe the outcomes of the recruitment process in the Multiple Sclerosis (MS) RADAR-CNS disability and fatigue study (D&F).

Methods

The study was run in three European centers. Main eligibility criteria for D&F study were patients with relapsing-reminting or secondary progressive MS with an EDSS score between 2.0 and 6.0. Passive and active data were continuously collected through wearables (FitBit) and mobile phones (Android) and compared to the on-site visit every 3 months. The study duration is 2 years. The study sample size was 400 patients.

Results

The enrolment of the D&F study extended for a period of 18 months. We identified 4094 potential candidates (min-max 885-1789). At the end of the recruitment period, 678 (16.6%; min-max 0-24.2%) remained in the pre-screening phase. 3416 (min-max 885-1454) patients were assessed for eligibility. Out of those, 2372 (69.4%; min-max 53.3-87.1%) were excluded for not fulfilling the eligibility criteria: 1520 (64.1%; 15.0-87.1%) did not meet the EDSS score, 254 (10.7%; 0.2-49.6%) would not be suitable in the investigators opinion and 598 (25.2%; 3.0-60.3) did not have an Android. Out of the 1044 (30.6%; 12.9-46.7) eligible candidates, 644 (61.7%; 13.8-79.7%) declined to participate. A total of 400 (90-162) patients, 9.8% of the potential candidates, were enrolled into the study.

Conclusions

Our study illustrates the primary challenges in recruiting MS patients in RMT studies related to eligibility, both clinical and technological criteria, followed by reasons related to patients preferences. There is variability in the recruitment approach between centers. In future studies, developing technology for all types of phones and more attractive assessment for patients should be considered.

Background

Counselling and managing women with active Multiple Sclerosis (MS) during pregnancy and the postpartum period is a challenge. Alemtuzumab (ALZ) might be an option for patients with severe MS who desire pregnancy. However, data on relapse activity during and after pregnancy is scarce.

Objectives

Our objective was to describe our experience with ALZ treatment prescribed in highly active MS women with a pregnancy desire.

Methods

From all ALZ treated women (n=62), patients starting treatment because of a pregnancy desire were selected. Demographic, clinical, and radiological data before and during ALZ treatment as well as during and after pregnancy were collected.

Results

From 1^st September 2019, thirteen patients were identified with a mean age at ALZ onset of 33.9 years (SD 5.5), median disease duration of 12.0 years (IQR 12.5). The median number of relapses 1 year prior to ALZ onset was 2.0 (IQR 2.0) and 6 out of 10 patients (60%) had Gd-enhancing lesions at baseline MRI (median of 4.5 lesions; IQR 8.3). Only one patient was treatment naïve prior to ALZ onset, 5 patients (38%) were receiving fingolimod, 3 patients (23.1%) injectable therapies, and 3 patients (23,1%) other monoclonal antibodies. As of 1^st June 2020, 4 patients (30%) were still not pregnant, 8 patients (61.5%) have had a full-term pregnancy, and 1 patient (7.7%) was still pregnant. All 9 pregnant patients have received two cycles of ALZ with a median time from the last ALZ dose to pregnancy of 9 months (IQR 18). After 1-2 years ALZ treatment, and prior to the pregnancy, 4 out of 9 patients (44.4%) had at least one relapse and 3 (33.3%) patients had an active brain MRI either at 12 or 24 months after ALZ onset. During pregnancy, only 1 patient had a relapse during the first trimester. During the postpartum period, 2 out of 8 (25%) patients experienced a disease reactivation with a relapse occurring with a mean time of 42 days (SD 41) after delivery and a brain MRI showing a high number of Gd-enhancing lesions.

Conclusions

Alemtuzumab treatment in women with high disease activity and a pregnancy desire might be an option. However, it is warned that some patients could present a disease reactivation short after delivery. Thus, close monitoring is needed, especially in patients with a high disease activity during the preconception period.