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

Oligoclonal bands (OB) are part of the 2017 McDonald criteria but their determination is rater-dependent. Kappa free light chains (KFLC) are determined quantitatively and could be an alternative to OB, but a vendor-specific index cut-off is needed.

Objectives

To compare the proportion of patients with clinically isolated syndromes (CIS) and positive OB and a KFLC index equal or greater than 6.6 (KFLC-6.6, Leurs CE Mult Scler 2020) or 10.61 (KFLC-10.61, Gaetani L J Neuroimmunol 2020). To compare the diagnostic properties of OB, KFLC-6.6 and KFLC-10.61 for 2nd attack and 2017 MRI dissemination in space (DIS) and time (DIT).

Methods

MRIs were obtained 3-5 months after the CIS, at 1 year and every 5 years. OB were determined by isoelectric focusing combined with immunoblotting. We selected 228 patients with sufficient data to assess DIS and DIT, OB determination and enough remnant frozen samples to measure KFLC by turbidimetry (Optilite, The Binding Site). We compared the proportion of patients with positive OB, KFLC-6.6 and KFLC-10.61 and the 3-year diagnostic properties for the following outcomes: 2nd attack (n=179) and MRI DIS and DIT (n=192).

Results

Of all patients, 146 (64.0%) had OB, 147 (65.5%) KFLC-6.6 and 137 (60.1%) KFLC-10.61. In total, 130 (57.0%) had OB and KFLC-6.6, 16 (7.0%) only OB, 17 (7.5%) only KFLC-6.6 and 65 (28.5%) had neither. As for OB and KFLC-10.61, 122 (53.5%) had both, 24 (10.5%) only OB, 15 (6.6%) only KFLC-10.61 and 67 (29.4%) had neither. At baseline, the criteria were fulfilled by patients with OB, KFLC-6.6 and KFLC-10.61 as follows: DIS 109/135 (80.7%), 114 (84.4%) and 106 (78.5%); DIT 70/87 (80.5%), 78 (89.7%) and 74 (85.1%); DIS plus DIT 64/78 (81.2), 71 (91.0%) and 67 (85.9); DIS plus OB 109 (100.0%), 101 (92.7%) and 94 (86.2); and McDonald 111/130 (85.4%), 113 (86.9%) and 106 (81.5%). The diagnostic properties of OB, KFLC-6.6 and KFLC-10.61 for 2nd attack were sensitivity 77.8, 85.6 and 78.0; specificity 44.9, 48.3 and 51.7; and accuracy 61.5, 67.0 and 65.4. Results for MRI DIS plus DIT were sensitivity 81.8, 87.9 and 82.6; specificity 66.7, 70.0 and 73.3; and accuracy 77.1, 82.3 and 79.7.

Conclusions

KFLC-10.61 had the greatest specificity and KFLC-6.6 the best overall diagnostic properties. The results were probably due to the higher proportion of positive KFLC patients with DIT compared to those with positive OB, suggesting KFLC-6.6 could be used as an alternative to OB in the McDonald criteria.

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

Teriflunomide is an oral first-line treatment of patients with relapsing-remitting multiple sclerosis (RRMS) that has been shown to decrease clinical relapses, reduce brain magnetic resonance imaging (MRI) activity, and slow progression of disability. However, the drug exhibits only limited effectiveness and does not produce clinical benefits in a proportion of MS patients.

Objectives

We aimed to identify differentially expressed genes and cellular pathways associated with the responder and non-responder status in RRMS patients treated with teriflunomide by means of RNA sequencing (RNA-seq).

Methods

RRMS patients treated with teriflunomide were classified into those with No evidence of disease activity (NEDA 3) and those with EDA after 12 months of treatment. Eleven responders [8 females; mean age (standard deviation): 45.8 years (4.5)] and 10 non-responders [8 females; 41.8 years (10.3)] were included in the study. RNA-seq was performed in RNA samples isolated from peripheral blood mononuclear cells before and after 12 months of teriflunomide treatment. 100 bp, paired-end RNA sequencing was performed by using DNAseq^TM Technology. Comparative analysis of differentially expressed genes between responders and non-responders was performed at baseline and after 12 months of treatment. Pathway analysis was based on KEGG database using statistically significant genes.

Results

Pathway analysis revealed the type I interferon (IFN) signaling pathway as the most significantly associated with the responder phenotype after 12 months of teriflunomide treatment (p<0.0001). In this context, expression levels for genes known to be predominantly or selectively induced by type I IFNs such as SP100, ZBP1, IFI27, ISG20, IFITM1, IFITM2, MX1, STAT1, PARP9, IFI35, RGS1, RSAD2, IFI44L, IRF1, DDX58, IFI6, IFIT1 and IFIT5 were significantly reduced by the effect of teriflunomide after 12 months of treatment in responders compared to non-responders. At baseline, expression levels for type I IFN genes were similar between responders and non-responders.

Conclusions

Type I IFNs are known to activate dendritic cells, enhance humoral immunity, and favor Th1 immune responses. A down-regulation of type I IFN genes after 12 months of treatment may explain the beneficial effect of teriflunomide in responders. Mechanistic studies are currently underway to investigate the functional implication of the type I interferon signaling pathway in the response to teriflunomide.

Background

Comorbidities and adverse health behaviors are associated with worse outcomes in multiple sclerosis (MS) and increased use of healthcare resources. Some comorbid conditions are more frequent in MS compared to the general population. The frequency and impact of comorbidities in our region is unknown.

Objectives

Describe the frequency of common comorbidities, adverse health behaviors, and healthcare resource usage in MS patients compared to the general population in Catalonia.

Methods

This is a population-based case-control study of the primary healthcare information system that covers 80% of the population of Catalonia. Cases were identified using the CIE-10 MS code (G35), and age/sex- matched controls (ratio 1:5) were randomly chosen, if they had at least one visit since 2006 and did not have active CIE-10 coding for any demyelinating disease. We obtained information on demographics (age, sex, socioeconomic status), comorbidities (by count and type), adverse health behaviors (smoking, alcohol), annual visits (primary care and specialists), sick leave days and medication dispensing.

Bivariate analysis and adjusted logistic regressions were done and odds ratios (OR) with 95% confidence interval (CI) were calculated.

Results

5548 MS cases and 27710 controls were included. 70% were female and mean age was 48.3 years. A total of 3334 (60.1%) of cases vs. 15756 (56.8%) of controls had at least one comorbidity (p<0.001). A higher frequency of comorbidities was found in MS in the 20-39 (OR: 1.377; 95%CI: 1.229-1.542) and 40-59 (OR: 1.231; 95%CI: 1.135-1.336) age ranges, whereas it was lower in 60-79 (OR: 0.648; 95%CI: 0.551-0.763) and >80 years (OR: 0.268; 95%CI: 0.115-0.625) age ranges. Socioeconomic deprivation was associated with a higher presence of comorbidities in MS cases (OR: 1.456; 95%CI: 1.161-1.824). Stroke (OR: 1.513; 95%CI: 1.173-1.952) and epilepsy (OR 2.566; 95%CI: 2.034-3.237), as well as any psychiatric disorder (OR 1.425; 95%CI: 1.377-1.519), bipolar disorder (OR: 1.882 95%CI: 1.335-2.654), or major depression (OR: 1.791: 95%CI 1.660-1.932) were more frequent in MS. Cardiovascular diseases were more frequent in males, whereas psychiatric diseases were more frequent in females. MS cases had higher annual sick leave days (11 vs. 6.7; p<0.001) and nurse (3 vs. 1.7; p<0.001), primary care (5 vs. 3.8; p<0.001) and specialist visits (11.9 vs. 0.5; p<0.001), as well as yearly medication dispensing. MS patients were more prone to smoking but not to alcohol consumption, especially among males.

Conclusions

MS patients have higher risk of psychiatric comorbidities, stroke and epilepsy, as well as adverse health behaviors and higher healthcare resource usage than the general population. The profile of comorbidities differs between women and men. Comorbidities are more frequent in the mos deprived socioeconomic strata.

Background

Synthetic MRI reduces acquisition time and could be an alternative to conventional sequences for the assessment of multiple sclerosis (MS).

Objectives

To perform a qualitative and quantitative comparison of conventional and synthetic MRI sequences to evaluate their value in the assessment of brain demyelinating lesions.

Methods

Twenty-seven RRMS patients (18 women), mean age of 44.0 years, median EDSS of 3.5 were examined in a 1.5T MRI scanner. A 2D QRAPMASTER sequence was added to the brain MRI protocol (proton density [PD] and T2w fast spin-echo, fast T2w FLAIR, and T1w spin-echo sequences). SyMRI software version 8.0.4 used QRAPMASTER images to generate synthetic images with the same TR, TE and TI used for conventional MRI.

Four raters performed a blinded qualitative analysis of the images in a random order to evaluate global image quality (GIQ), global image contrast, presence of flow artifacts in posterior fossa, contrast of lesions to white matter, and level of confidence for supratentorial and infratentorial lesion assessment. Moreover, the number of periventricular, juxtacortical, brainstem, and cerebellum lesions, and the contrast-to-noise ratio (CNR) between regions were evaluated.

Statistical analysis was performed in SPSS v. 25. Crosstabs were used to evaluate the degree of agreement between sequences for qualitative data. Wilcoxon signed rank test was used to evaluate differences for quantitative data.

Results

GIQ showed a predominance of better scores for conventional MRI. All other image quality parameters showed a degree of agreement similar or greater to the predominance of better scores for conventional MRI. There were no significant differences in the degree of agreement between pairs of raters in the assessment of conventional and synthetic MRI except between raters 1 and 2. However, we found a clear predominance of disagreement for all pairs of raters. Synthetic PD, T2w and T2w-FLAIR showed higher CNR than conventional sequences for most of the regions. Two raters found a greater number of brainstem lesions in conventional PD and one in synthetic T2w-FLAIR images. Three raters found a greater number of cerebellum lesions in conventional PD, and two of them in conventional T2w-FLAIR images.

Conclusions

Synthetic MRI obtained lower scores for some qualitative rater-related parameters while quantitative CNR data showed higher values. Synthetic MRI shows potential to be used as an alternative to conventional brain MRI sequences in the assessment of MS.

Background

In multiple sclerosis (MS) the cervical spinal cord is often affected by demyelination and neuro-axonal injury, leading to irreversible tissue loss.

Objectives

To use voxel-wise analysis to evaluate the distribution and changes over time of cervical cord atrophy in MS patients from a multicentre dataset acquired at 7 European sites.

Methods

Baseline and 1-year 3D T1-weighted cervical cord scans and clinical evaluation were obtained from 54 healthy controls (HC) and 110 MS patients (13 clinically isolated syndromes [CIS], 75 relapsing-remitting [RR] and 22 progressive [P]MS). A pipeline optimized for longitudinal analysis was used to co-register baseline and 1-year follow-up cervical cord scans to a cord template, obtained by averaging straightened HC images from all centers. Voxel-wise differences of cervical cord atrophy, their longitudinal changes and correlations with clinical variables were assessed using SPM12 and full factorial models (sex-, age-, center- and total cord volume-corrected).

Results

Compared to HC, MS patients exhibited significant (p<0.05, family-wise error [FWE] corrected) baseline cervical cord atrophy, mainly located in anterior, posterior and lateral cord regions at C1/C2, as well as in posterior regions between C4 and C6. While CIS patients showed a slight cord tissue expansion vs HC at posterior C4, RRMS presented significant clusters of cord atrophy vs CIS, mostly in lateral and posterior C2-C4 regions, and PMS showed widespread cord atrophy vs RRMS patients at C4-C5 and C7 levels. During the follow-up, a significant progression (p<0.05, FWE) of cord atrophy was detected in MS patients, predominantly in the posterior and lateral cord at C2, and between C4 and C6. Such pattern of cord atrophy progression was mainly driven by RRMS patients, while CIS patients did not show cord tissue loss at follow-up vs baseline, and PMS patients showed circumscribed tissue loss in posterior regions at C2 and C6. A strong relationship (p<0.05, FWE) was found between baseline clinical disability and baseline cord atrophy in the posterior and lateral cord at C2-C4. Also, baseline atrophy in the lateral cord at C3-C4 correlated with clinical disability at 1-year follow-up.

Conclusions

Voxel-wise analysis of cervical atrophy allowed to detect a differential involvement of cord levels and to characterize 1-year evolution of tissue loss across phenotypes. Cord atrophy was clinically relevant and contributed to explain follow-up clinical disability.

Background

People with MS present disruption of structural brain networks, but the differential characteristics of such changes among MS phenotypes and their clinical impact are not well elucidated.

Objectives

To characterize diffusion-based brain connectivity abnormalities in different MS phenotypes and their relation with disability in a large cohort of patients.

Methods

In this multicenter, retrospective, cross-sectional study, we collected clinical and brain MRI data from 344 patients with MS [median Expanded Disability Status Scale, EDSS 2.0 (range 0-7.0)] and 91 healthy volunteers (HV) from four MAGNIMS centers. Cognition was assessed with the Paced Auditory Serial Addition Test (PASAT) and Symbol Digits Modalities Test (SDMT) in 298 patients. We collected 3D-T1, FLAIR, diffusion-weighted images (DWI) and T2 or field maps acquisitions. FSL and ANTs packages were used to carry out DWI preprocessing and MRtrix software to generate connectivity matrices based on fractional anisotropy values. We computed six network measures (strength, global and local efficiency, clustering coefficient, assortativity and transitivity), and applied the ComBat tool to reduce inter-site variability. We calculated age-adjusted differences in graphs between groups using Mann-Whitney with FDR correction or Kruskal-Wallis with Dunn’s Test when necessary. Associations with clinical features were explored with Spearman’s rank correlation.

Results

Thirty-eight (11%) patients presented a clinically isolated syndrome (CIS), 262 (76%) had relapsing-remitting (RR) and 44 (13%) secondary progressive (SP) MS. CIS patients showed reduced global and local efficiency, clustering coefficient and transitivity compared to HV (corrected p<0.001), whilst RRMS did not differ from CIS patients. Compared with CIS and RRMS, patients with SPMS showed larger changes for the same previous graphs measures (corrected p<0.05), and lower strength than RRMS (corrected p=0.019).

In patients, reduced measures of strength, global and local efficiency, clustering and transitivity correlated with higher EDSS (rho:-0.12–-0.16, corrected p<0.034), lower PASAT (rho:0.26–0.30, corrected p<0.001) and worse SDMT scores (rho:0.28–0.32, corrected p<0.001).

Conclusions

Structural network integrity at the whole brain level is already widely reduced in people with MS from the earliest phases of the disease and becomes more abnormal in SPMS. Network modifications may contribute to the clinical manifestations of the disease.

Background

Clinical and imaging features of myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) may overlap with those of aquaporin 4-neuromyelitis optica spectrum disorder (AQP4-NMOSD) and relapsing remitting multiple sclerosis (RRMS). There is an unmet need for MRI biomarkers which reflect biological mechanisms involved in MOGAD and can help in the differential diagnosis.

Objectives

We aim to identify imaging features able to differentiate between non-acute MOG-antibody disease, AQP4-NMOSD and RRMS.

Methods

In this ongoing retrospective, cross-sectional MAGNIMS study, we analyzed data collected from 8 centers. All subjects (n=352) had brain and cervical cord 3T MRI. Quantification of MRI biomarkers included brain white matter lesions (WMLs), cortical lesions (CL), brain parenchymal fraction (BPF), white matter fraction (WMF), cortical and deep grey matter fractions (GMF) and cross-sectional cervical cord area (CSA) at C1-C2. Linear regression models were used to compare MRI measures between groups, corrected for age, sex, and centre. Statistical significance was considered when p was <0.05.

Results

91 patients with MOGAD (50F, mean age: 41yrs [±15]), 85 with AQP4-NMOSD (68F, 49yrs [±14]), 90 with RRMS (56F, 41yrs [±11]) and 87 healthy controls (HCs) (54F, 36yrs [±11.6]) were collected. The most common phenotypes at onset were optic neuritis and transverse myelitis in MOGAD (93%) and AQP4-NMOSD (87%). WMLs were detected in 57% MOGAD, 79% AQP4-NMOSD, all RRMS (100%) patients, and in 15% HCs. The mean lesion load and number of lesions were higher in RRMS than both MOGAD (p=0.007, p<0.001) and AQP4-NMOSD (p=0.001, p<0.001). At least one CL was seen in 8% patients with MOGAD (total n=8), 10% patients with AQP4-NMOSD (n=7), and in 69% patients with RRMS (n=150). All patient groups showed lower BPF than HCs, with lower WMF in MOGAD and RRMS than HCs (all p<0.01). Between groups, deep GMF was lower in RRMS than MOGAD (p<0.001) and AQP4-NMOSD (p=0.001). CSA was reduced in all disease groups when compared to HCs (all p<0.01) and lower in AQP4-NMOSD than RRMS (p=0.01).

Conclusions

This ongoing study indicates that MOGAD and AQP4-NMOSD share similar MRI features, and no specific MRI biomarker can distinguish between them. Patients with AQP4-NMOSD showed greater spinal cord atrophy than RRMS, and RRMS patients had a higher number of cortical lesions, and greater deep GM atrophy than AQP4-NMOSD and MOGAD. The next step is to investigate whether lesion distribution differs between the two antibody-mediated disease.

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.