Background

to date, no consensus exists on how aggressively and timely treat relapsing-remitting multiple sclerosis (RRMS) patients.

Objectives

To evaluate disability trajectories in a cohort of RRMS patients stratified according to two different disease modifying therapy (DMT) strategies, early intensive treatment (EIT) or moderate-efficacy treatment followed by escalation to higher-efficacy DMT (ESC).

Methods

RRMS patients with ≥5-year follow-up and ≥3 visits after start DMT, and a first visit within 3 years from disease onset were selected from the Italian MS Registry. EIT group included patients who received, as first DMT, fingolimod, natalizumab, mitoxantrone, alemtuzumab, ocrelizumab, cladribine. ESC group included those who received the high efficacy DMT after ≥1 year of glatiramer acetate, interferons, azathioprine, teriflunomide or dimethylfumarate treatment. Patients were 1:1 propensity score(PS)-matched for characteristics at the first DMT. The follow-up time from the first DMT start has been segmented into 12-month periods. The disability trajectories were evaluated by applying a longitudinal model for repeated measures with an autoregressive variance-covariance structure. The effect of early versus late start of high-efficacy DMT was assessed by the mean annual EDSS changes compared to baseline values (delta-EDSS) in EIT and ESC groups.

Results

The study cohort included 2,652 RRMS patients from 62 Italian MS centers. The PS matching procedure produced 365 pairs. The median (IQR) follow-up after the first DMT start was 8.5 (6.5–11.7) years. All of the ESC patients escalated to a higher-efficacy DMT after a median time of 5.1 (3.1–8.4) years. The estimated baseline EDSS with relative confidence interval (95% CI) value was 2.52 (2.33-2.71) in the ESC group and 2.45 (2.26-2.64) in the EIT group. Mean delta-EDSS at each 12 month period were all significantly (p<0.02) higher in the ESC group compared to the EIT group. In particular, the mean delta-EDSS differences between the two groups tend to increase from 0.1 (0.01-0.19, p=0.03) at 1 year to 0.30 (0.07-0.53, p=0.009) at 5 years and to 0.67 (0.31-1.03, p=0.0003) at 10 years.

Conclusions

Our results indicate that EIT strategy is more effective than ESC strategy in controlling disability progression and the effect tends to increase over time despite patients in the ESC group escalated to a higher-efficacy DMT.

Background

Background: Except for ocrelizumab, treatment options in primary progressive multiple sclerosis (PPMS) are lacking, as randomized clinical trials failed to show efficacy in reducing disability progression in this patient population.

Objectives

Objective: To investigate the effectiveness of disease-modifying treatment (DMT) on hard disability outcomes (EDSS 6 and 7) in a real-life population of PPMS patients.

Methods

Methods: Using the Italian MS Registry, we selected PPMS patients with at least three EDSS evaluations and three years of follow-up. Study baseline was defined as the first EDSS evaluation for untreated patients and the date of the first DMT initiation for treated patients. The impact of DMT on the risk of reaching EDSS 6 and 7 was assessed as a dichotomous variable (yes versus no) and as a time-dependent covariate through multivariable Cox regression models (adjusted for age at baseline, sex, first EDSS score, symptoms at onset, annualized visit rate, annualized relapse rate). We compared outcomes with an as-treated analysis and used propensity-score matching (PSM) to select cohorts with comparable baseline characteristics. DMT-exposure was also evaluated in terms of quartiles of exposure.

Results

Results: Of the 1214 patients we included 671 females, mean ± Standard Deviation baseline age 48.7 ± 11.1 years, mean EDSS score 4.1 ± 1.8, 790 (65%) received a DMT during the follow-up (57% platform and 43% highly active treatments). In the whole sample, after a mean follow-up of 11.6 ± 6.3 years, 994 (82%) patients reached EDSS 6 and 539 (44%) EDSS 7. In the multivariable Cox regression models, the use of DMT analyzed as a dichotomous variable did not influence the risk of reaching EDSS 6 (aHR=1.1, 95% CI 0.95-1.28, p=0.181) and EDSS 7 (aHR = 0.93, 95% CI 0.77-1.12. p = 0.454). However, longer DMT exposure significantly reduced the risk of reaching EDSS 7 (aHR = 0.73, 95% CI 0.56-0.95, p =0.021). Of note, patients in the upper quartile of DMT exposure compared with those with shorter DMT exposure were younger at baseline (mean age 44.1 ± 10.6 years; p < 0.001) and received the first DMT closer to the disease onset (mean time to first DMT 6.8 years ± 6.1 ; p=0.002). All these findings were confirmed in the PSM analysis.

Conclusions

Conclusion: Our results suggest that longer exposure to DMT may delay time to wheelchair in PPMS patients. Moreover, treating younger patients and reducing the delay to treatment initiation may improve the patients’ long-term disability outcomes. To optimize treatment decision-making in PPMS further profiling of the best candidates to treatment is needed.

Background

Historically, disease activity diminished during pregnancy in women with relapsing-remitting MS. Today, women with high disease activity are more likely to attempt pregnancy due to the disease control that new therapies offer. But disease activity during pregnancy in the modern day remains understudied.

Objectives

Describe disease activity in a modern pregnancy cohort, grouped by preconception disease-modifying therapy (DMT) class; determine the predictors of relapse during pregnancy.

Methods

Data were obtained from the MSBase Registry. Term/preterm pregnancies conceived from 2011-2019 were included. DMT were classed by low, moderate and high-efficacy. Annualized relapse rates (ARR) were calculated for each pregnancy trimester and 12 months either side. Predictors of relapse during pregnancy were determined using clustered logistic regression.

Results

We included 1640 pregnancies from 1452 women. DMT used in the year before conception were none (n=346), low (n=845), moderate (n=207) and high-efficacy (n=242). Most common DMT in each class was interferon-beta (n=597), fingolimod (n=147) and natalizumab (n=219) for low, moderate and high-efficacy respectively. Conception EDSS ≥2 was more common in higher efficacy DMT groups (high: 41.3%; moderate 28.5%; low 22.4%; none 20.2%). For low-efficacy and no DMT groups, ARR fell through pregnancy. ARR of the moderate-efficacy group increased in the 1^st pregnancy trimester (0.55 [95% CI 0.36-0.80] vs 0.14 [95% CI 0.10-0.21] on low-efficacy), then decreased to a trough in the third. Conversely, ARR steadily increased throughout pregnancy for those on high-efficacy DMT (3^rd trimester: 0.42 [95% CI 0.25-0.66] vs 0.12 [95% CI 0.07-0.19] on low-efficacy). Higher efficacy DMT groups were associated with higher ARR in the early postpartum period (high: 0.84 [95% CI 0.62-1.1]; moderate: 0.90 [95% CI 0.65-1.2]; low: 0.47 [95% CI 0.38-0.58]). Preconception use of high and moderate-efficacy DMT and higher preconception ARR were predictors of relapse in pregnancy. But, continuation of high-efficacy DMT into pregnancy was protective against relapse (odds ratio 0.80 [95% CI 0.68-0.94]). Age ≥35 years was associated with reduced odds of relapse.

Conclusions

Women with RRMS treated with moderate or high-efficacy DMT are at greater risk of relapse during pregnancy. Careful pregnancy management, and use of long-acting high-efficacy DMT preconception, or continuing natalizumab into pregnancy, may prevent relapse in pregnancy.

Background

Cognitive impairment is one of the most disabling symptoms of multiple sclerosis (MS), affecting about 50% of patients.

Objectives

We sought to define homogeneous cognitive phenotypes in a large cohort of MS patients by using a data-driven approach, and to assess their distinctive clinical and MRI features.

Methods

A cohort of 1212 MS patients and 196 healthy controls (HC) from 8 Italian MS centers underwent cognitive evaluation with Rao’s Brief Repeatable Battery and Stroop Color Word Test. A subgroup (172 MS patients and 50 HC) also underwent a 3T MRI examination, including 3D T1-weighted and dual-echo sequences. Latent-profile analysis was used on cognitive tests’ z-scores for identifying cognitive phenotypes. Linear regression and mixed effects models were used to define the clinical and MRI features of each phenotype.

Results

Five cognitive phenotypes were identified, characterized by “preserved-cognition” (19%), “mild verbal memory/semantic fluency” impairment (30%), “mild-multi-domain” impairment (19%), “severe-attention/executive” impairment with mild impairment of other domains (14%), and “severe-multi-domain” impairment (18%). “Preserved-cognition” patients had shorter disease duration and lower Expanded Disability Status Scale (EDSS) score than all other groups, and mildly impaired phenotypes included patients with shorter disease duration and less likely progressive disease compared to severely impaired groups. However, the “preserved-cognition” group also included patients with progressive disease and high EDSS scores, and severely impaired phenotypes were also represented in early MS stages. Comparing each phenotype to “preserved-cognition” group, distinctive MRI features emerged: “mild verbal memory/semantic fluency” patients had reduced hippocampal volume (p=0.02), “mild-multi-domain” reduced cortical gray matter volume (p=0.04), “severe-attention/executive” higher lesion volume (p=0.04) and severe-multi-domain” extensive brain damage (p<0.01 for lesion, brain, gray matter and thalamic volumes).

Conclusions

We identified five cognitive phenotypes of MS patients, with distinctive MRI substrates. By defining homogenous and clinically meaningful groups, this characterization may be useful for future research on cognitive impairment in MS, and for defining personalized management approaches and rehabilitative strategies in clinical practice.

Background

Cognitive impairment (CI) affects nearly 30% of paediatric patients with Multiple Sclerosis (MS) and has a negative impact on school performance and participation in social activities. This study is a re-appraisal of cognitive functioning and socio-professional attainment in adulthood in an Italian cohort of paediatric MS patients after 10 years from baseline neuropsychological assessment.

Objectives

To re-assess cognitive performance and its impact on socio-professional attainment in our cohort of paediatric MS patients after 10 years from baseline evaluation and to determine predictors of the individual outcomes.

Methods

Sixty-three paediatric patients were assessed at baseline and 48 followed-up after five years. To date, 31 out of these 48 patients (17 females, mean age 27.9±2.5 years, mean EDSS 1.7±1.6) were reassessed on an extensive neuropsychological battery and compared with a matched group of 31 healthy controls. CI was defined as the failure of > 2 tests. Socio-professional attainment was evaluated on the Work and Social Assessment Scale (WSAS). Predictors of CI and WSAS score were assessed through multivariable logistic and linear models.

Results

After a mean follow-up of 12.5±2.3 years, 15 (54%) subjects were classified as cognitively impaired. Patients with CI compared with those cognitively preserved at follow-up had higher Expanded Disability Status Scale (EDSS) score (1.9±1.4 vs 1.0±0.7; p = 0.046), lower baseline intelligence quotient (IQ) (86.2±23.8 vs 103.6±14.7; p = 0.025) and were less frequently treated with disease modifying therapy (DMT) at baseline [6 (35.3%) vs 11 (78.6%); p = 0.016]. In the regression model, CI after 10 years was related to lower IQ (OR 0.93, 95% CI 0.87-0.99, p = 0. 027) and absence of DMT at baseline assessment (OR 17.78 95%; 1.72-183.65, p = 0.017).

Baseline predictors of worse socio-professional attainment on the WSAS in adulthood were CI (B=6.3, p=0.016), higher EDSS (B=2.2, p=0.023) and higher age at onset (B=0.6, p=0.041). As for 10-year correlates, only CI was associated to poor functional outcome (B=5.2, p=0.006).

Conclusions

Complete data collection is ongoing; available findings to date show that in paediatric onset subjects CI remains significant in adulthood, is related to lower cognitive reserve, higher levels of neurological impairment and delay in DMT initiation. Moreover, CI plays a key role in predicting the subject social performance and professional outcome. Early treatment and promotion of strategies aimed at enhancing cognitive reserve are recommended in paediatric patients with MS.

Background

Pre-existing chronic illness is associated with increased psychiatric distress due to the spread of COVID-19, specifically increased stress, anxiety and depression. This potentially placed individuals with MS in a uniquely vulnerable position to experience greater psychiatric symptomatology.

Objectives

To examine the impact of the COVID-19 pandemic on emotional symptomatology and quality of life in individuals with Progressive Multiple Sclerosis (PMS).

Methods

Data were obtained during a randomized clinical trial on rehabilitation taking place at 11 centers in North America and Europe (The CogEx Trial, ClinicalTrials.gov Identifier: NCT03679468). Participants included 131 individuals with PMS. Study procedures were interrupted in accordance with governmental restrictions as COVID-19 spread. During study closure, a COVID Impact Survey was administered via telephone or email to all participants, along with patient report outcome (PRO) measures of depressive and anxiety symptoms, quality of life and MS symptomatology that were previously administered pre-pandemic.

Results

The time between baseline PRO completion and lockdown survey completion varied (M=9.5 months, SD=4.1 months). 4% of respondents reported COVID-19 infection. No significant changes were noted in anxiety, quality of life, or the impact of MS symptomatology on daily life from baseline to lockdown. While total HADS depression scores increased significantly at follow up, this did not translate into more participants scoring above the HADS threshold for clinically significant depression. No significant relationships were noted between disease duration, processing speed ability or EDSS and changes in symptoms of depression or anxiety.

Most participants reported impact of the virus on their psychological well-being, with little impact on financial well-being. Perceived impact of the pandemic on physical and psychological well-being correlated significantly with the impact of MS symptomatology on daily life, as well as changes in depression.

Conclusions

Overall, in a sample confined exclusively to people with chronic progressive MS, little clinically significant change was noted in symptoms of depression or anxiety or quality of life during the pandemic lockdown.

Background

MRI studies have consistently shown structural and functional alterations in the brain of patients with MS. However, pathogenic mechanisms of MS are “multidimensional”, reflecting complex events and thus requiring multivariate analysis methods. A complementary knowledge of such events and their clinical relevance is currently lacking in MS.

Objectives

To investigate “hidden” covarying structural-functional pathogenic patterns in MS patients compared to normal controls (NC).

Methods

We applied linked independent component analysis, a type of fusion approach, to images of grey matter (GM) density, fractional anisotropy (FA) and resting-state functional MRI. We assessed 100 relapsing-remitting MS patients (age: 39.7±10.5 years, 60 female, disease duration: 9.4±6.9 years; median EDSS=1.5, cognitive impairment [CI]: 30%) and 43 demographically-matched NC.

Results

Out of 20 linked structural-functional patterns across study population, only one showed significant group difference, with a loading coefficient across MRI modalities lower in MS than NC (-0.29±1.05 vs 0.69±0.34, corrected-p <0.004), which was already present at very early disease stage and was particularly low in the MS subgroups with larger white matter (WM) lesion volume (LV, >3.5 cm³), higher EDSS (>1.5), CI occurrence and longer disease duration (>5 years). The contribution of each modality to the significant linked covarying pattern was 41% for GM density, 42% for WM FA and 17% for network-functional connectivity (FC). The contribution of FC increased in the MS group with increasing LV, EDSS, CI and disease duration.

Conclusions

These findings suggest that in MS patients with mild disability common pathogenic mechanisms are characterized by a prevalent structural damage equally affecting WM and GM and, to a lesser degree, by concurrent widespread alteration of short-range FC. Such mechanism is already present since the early MS stage and becomes more pronounced with increasing focal pathology and disease severity.

Background

Restrictions imposed by the National and local authorities to mitigate the spread of Coronavirus disease-19 (COVID-19) posed unique challenges in the access to care and management of people with multiple sclerosis (PwMS).

Objectives

To collect data about the impact of the COVID-19 emergency on access to care for PwMS and analyze influence on treatment practices of MS neurologists worldwide.

Methods

Between March and July 2020 the European Committee for Treatment and Research in MS (ECTRIMS) promoted an online survey among Council members and MS specialists worldwide, covering five major areas: general information; MS patient access to care; management of relapses and visits; use of disease modifying therapy (DMT); experience with COVID-19 MS patients.

Results

Three-hundred-sixty neurologists (46% females, median age 48 years) from 52 countries (Europe 68%; Central/South America 17%; North America 10%, others 5%) completed the survey. Seventy-five percent worked within a specialized MS centre, 42% followed > 1000 patients. Ninety-eight percent of respondents reported COVID-19 pandemic had a negative impact on patients’ care. Routine MS clinical activities were suspended in 63% of cases and only urgent visits were guaranteed. Telemedicine services (mainly calls, video-calls, messaging) were provided by 90% of respondents: only in 20% of cases telemedicine was already in use in the practice. Forty-five percent revealed changes in relapse treatment: dosage and/or duration reduction 30%; treatment offered only for severe relapses 36%; treatment delivered at home 28%. As for DMT, 98% of respondents felt no modification was needed for interferons and glatiramer; 48-60% deemed no change was needed for dimethyl fumarate, teriflunomide, fingolimod and siponimod, while nearly 25% considered switching/suspending these agents based on lymphopenia. On the other hand, for natalizumab 31% applied an extended-dose regimen, for cladribine and alemtuzumab 42-52% considered postponing treatment in any case as the best choice. For anti-CD20 monoclonal antibodies, postponing treatment in any case (32%) or based on the patient immunophenotype (25%) were the preferred options. Sixty-one percent of respondents had at least one patient affected by COVID-19, 27% had at least one patient with severe infection; 70% of severe cases were on DMT. Finally, 11% of respondents reported at least one COVID-19 related death and 36% of fatal cases were on DMT.

Conclusions

While analysis of geographic differences is ongoing, the survey highlighted that COVID-19 pandemic is having a major impact on MS care worldwide. Telemedicine has a great potential to mitigate issues and needs to be potentiated/implemented de novo at most centres. As for DMT, major changes regarded cladribine, alemtuzumab and anti-CD20. Collecting standardized, reliable data on the potential impact of DMT on COVID-19 in PwMS is urgently needed to inform appropriate treatment decisions.

Background

There is still a need to bridge the gap in linking structural and functional alterations in order to evaluate their relative contribution and location towards clinical picture of patients with MS.

Objectives

To identify how distinct covarying structural-functional patterns are able to explain clinical measures of physical disability and cognitive impairment in MS.

Methods

We applied linked independent component analysis (ICA), a type of fusion approach, to images of grey matter (GM) density, fractional anisotropy (FA) and resting-state functional MRI in patients with relapsing-remitting MS (age: 39.7±10.5 years, 60 female, disease duration: 9.4±6.9 years; median EDSS=1.5, cognitive impairment [CI]: 30%). Loading coefficients across the three MRI modalities of linked ICA were used in multiple stepwise linear regression models for EDSS, CI and Rao Battery test scores, adjusted for age and sex.

Results

Higher EDSS was explained (R²_adj=0.46, p<0.001) by a linked covarying pattern of structural damage (40%), including lower GM density (30%) and WM FA (10%) and of altered network-FC (60%). CI was explained (R²_adj=0.56, p<0.001) by a linked covarying pattern of structural damage (26%), including lower GM density (18%) WM FA (8%) and especially of altered network-FC (74%). Among the different cognitive domains, attention and processing speed, as measured by symbol digit modalities test (SDMT), was best explained (R²_adj =0.62, p<0.001) by a pattern mostly driven by altered network-FC (70%) and including, to a lesser extent, structural damage (30%), with equal contribution from lower GM density and lower WM FA.

Conclusions

The highest contribution of altered network-FC with respect to structural damage in explaining physical disability and cognitive impairment of our MS group with mild disability points out the relevance at this early disease stage of mechanisms of cortical plasticity, which however may undergo exhaustion and downregulation in the more advanced stages of disease.

Background

Over 2 years in the CARE-MS trials (NCT00530348; NCT00548405), alemtuzumab (12 mg/day; baseline (BL): 5 days; 12 months later: 3 days) significantly improved clinical and MRI outcomes versus subcutaneous interferon beta-1a (SC IFNB-1a) in relapsing-remitting multiple sclerosis patients. Alemtuzumab efficacy was maintained through a 4-year extension study (NCT00930553), wherein patients could receive additional 3-day courses (≥12 months apart, as needed for disease activity) or receive other disease-modifying therapy per investigator’s discretion.

Objectives

To evaluate post hoc the effects of alemtuzumab on brain atrophy over 6 years in CARE-MS patients without relapses and MRI disease activity.

Methods

Analysis included pooled CARE-MS patients with or without disease activity between BL and Year 1 or BL and Year 2. Absence of disease activity was defined as no BL gadolinium (Gd)-enhancing T1 lesions and no clinical relapses or MRI disease activity (new Gd-enhancing or new/enlarging T2 lesions) from Years 0-1 or Years 0-2 (Definition 1). A second definition had the additional criterion of no relapse within 60 days before BL (Definition 2). Brain atrophy was measured by brain parenchymal fraction (BPF); differences in the median annualized percent change in BPF were assessed using ranked ANCOVA adjusted for region and BL BPF.

Results

Compared with SC IFNB-1a, alemtuzumab reduced median annualized percent change in BPF in patients free of disease activity during Years 0-1 (Definition 1: -0.37% vs -0.61%, P=0.006; Definition 2: -0.36% vs -0.54%, P=0.024) or Years 0-2 (Definition 1: -0.27% vs -0.44%, P=0.014; Definition 2: -0.28% vs -0.41%, P=0.045). Median annualized percent change in BPF was reduced with alemtuzumab versus SC IFNB-1a in patients with disease activity in Years 0-1 (-0.61% vs -0.79%, P=0.005) or Years 0-2 (-0.40% vs -0.56%, P<0.0001). Over 6 years, brain volume loss (BVL) was slower in patients without disease activity who initiated alemtuzumab at core study BL (-1.66%) than in those who received SC IFNB-1a in the core studies and initiated alemtuzumab in the extension (-2.05%).

Conclusions

Brain atrophy was reduced with alemtuzumab compared with SC IFNB-1a in patients without disease activity over 2 years. A slower rate of BVL was maintained through Year 6 in patients without disease activity who received alemtuzumab in the core study compared with SC IFNB-1a, suggesting alemtuzumab may slow neurodegeneration associated with BVL.

STUDY SUPPORT: Sanofi.

Background

The rapidly evolving therapeutic landscape of multiple sclerosis (MS) can make treatment decisions challenging. Novel tools using artificial intelligence (AI) can provide estimations of MS disease progression, which may aid MS therapeutic decisions. However, whether neurologists are willing to utilize information provided by AI-based models when making therapeutic decisions is unknown.

Objectives

To assess whether neurologists rely on clinical judgment (CJ) or quantitative/ qualitative estimations of disease progression provided by hypothetical AI-based models (assuming these models can reliably identify patients at high vs. low risk of disease progression) in simulated MS case scenarios.

Methods

Overall, 231 neurologists with expertise in MS from 20 countries were randomized to receive qualitative (high/low) or quantitative (85-90% vs. 15-20%) information regarding the likelihood of disease progression. Participants were presented with simulated MS case scenarios, and initially made 7 treatment decisions based on the clinical information using CJ. After randomization, participants made 10 treatment decisions using CJ and estimations of disease progression provided by AI models. We evaluated concordance and discordance of therapeutic decisions based on CJ and AI. The primary outcome was the proportion of “optimal” treatment decisions defined as treatment escalation when there was evidence of disease progression or continuing the same treatment when clinically stable. Mixed models were used to determine the effect of randomization group, case risk level, and CJ/AI. Clinicaltrials.gov #NCT04035720

Results

Of 300 neurologists invited to participate, 231 (77.0%) completed the study. Study participants had a mean age (SD) of 44 (±10) years. Of 2310 responses, 1702 (73.7%) were classified as optimal. Optimal decisions were more common for the high-risk vs. low-risk CJ group (84.5% vs 57.6%; p<0.001). There were no differences in the estimated odds of optimal responses between the quantitative vs. qualitative groups (OR 1.09; 95%CI 0.86, 1.39) after adjustment for pre-intervention responses. The estimated odds of optimal decisions for the high-risk vs low-risk CJ group was 2.96 (95%CI: 2.47, 3.56 ) after adjusting for group, pre-intervention responses, and AI-based estimations. For low-risk CJ cases, additional input by AI-based estimations was associated with a lower likelihood of optimal responses; being worse for high-risk vs. low-risk AI estimations (OR 0.235; 95%CI: 0.16, 0.340) adjusting for covariables.

Conclusions

Neurologists were more likely to make optimal treatment choices for high-risk simulated scenarios. The addition of hypothetical information provided by AI-based models- did not improve treatment decisions for low-risk cases. These results provide a framework for understanding therapeutic decision-making in MS neurologists, who are more reliant on their own CJ over AI-based tools.

Background

In 2017, a revision of the 2010 McDonald criteria for multiple sclerosis (MS) diagnosis in clinically isolated syndrome (CIS) patients has been proposed. However, its validation in a large multicenter cohort of CIS patients is still needed.

Objectives

To compare the performance of 2017 and 2010 revisions of the McDonald criteria with respect to MS development in a large multicentric cohort of CIS suggestive of MS.

Methods

Brain and spinal cord magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) examination obtained ≤5 months from CIS onset and a follow-up brain MRI acquired ≤15 months from CIS onset were assessed in 626 CIS patients from 9 European MS centres. The occurrence of a second clinical attack (clinically definite [CD] MS) was recorded. Performances of the 2017 and 2010 revisions of McDonald criteria for dissemination in space (DIS), time (DIT) and DIS plus DIT, also including OCB assessment, were evaluated with a time-dependent receiver operating characteristic curve analysis. Median time to MS diagnosis for the different sets of criteria was estimated through Kaplan-Meier curves.

Results

At the last evaluation (median=61.9 months [IQR=39.1-102.5]), 319 (51%) of 626 patients had CDMS. At 36 months, for DIS, the 2017 MRI criteria had higher sensitivity (0.84 [95% CI=0.79-0.88] vs 0.77 [0.72-0.82]), lower specificity (0.33 [0.28-0.39] vs 0.40 [0.35-0.46]), and similar area under the curve values (AUC, 0.59 [0.55-0.62] for both). The 2017 DIS plus DIT MRI criteria had higher sensitivity (0.68 [0.63-0.74] vs 0.62 [0.56-0.68]), lower specificity (0.55 [0.49-0.61] vs 0.62 [0.56-0.68]), and similar AUC values (0.62 [0.58-0.66] for both). CSF-specific OCB assessment as part of the 2017 criteria revision, increased the sensitivity (0.81 [0.75-0.85]), decreased specificity (0.40 [0.34-0.46]) and preserved AUC values (0.60 [0.56-0.64]). Median time to MS diagnosis was earlier with the 2017 revision compared to the 2010 or CDMS criteria, especially with OCB assessment (2017 revision with OCBs=3.6 months [3.1-4.0], 2017 revision without OCB=11.6 months [7.8-13.5], 2010 revision=13.9 months [12.4-15.3], CDMS=56.3 months [43.8-76.0]).

Conclusions

The 2017 revision of the McDonald criteria showed overall similar accuracy to the 2010 McDonald criteria in predicting CDMS development. The suggested modifications are expected to simplify the clinical use of MRI criteria without reducing accuracy and allow an earlier diagnosis of MS.

Background

The advent of oral first-line disease-modifying therapies (DMTs) for relapsing-remitting multiple sclerosis (RRMS) has expanded considerably the therapeutic landscape. However, here is an important need to gather real-world evidence data regarding long-term treatment effectiveness and safety in comparison to the old first-line injectables DMTs.

Objectives

To compare old injectable and oral first line DMTs for time to first relapse, time to confirmed disability progression (CDP), and time to discontinuation in a cohort of RRMS patients extracted from the Italian MS Registry.

Methods

Multicentre, observational, retrospectively acquired and propensity-adjusted cohort study of RRMS-naïve patients in the Italian MS Register starting injective or oral first line DMTs between 1 January 2010 and 31 December 2017 to evaluate their impact on disability outcomes in patients. Enrolled patients were divided into two groups: injectable group (IG) and oral group (OG).

Results

From a cohort of 11,416 patients, 4,602 were enrolled (3,919 on IG and 683 on OG). IG had higher rate of women (67.3% vs 63.4%, p<.05) and a lower mean age (36.1±10.9 vs 38.9±11.8, p<.001). For the event time to first relapse, Cox models after PS adjustment revealed a lower risk for OG patients (HR 0.58 CI95% 0.47-0.70, p<0.001). About the risk of CDP, no differences were found in the two groups (HR 1.14 CI95% 0.88-1.48, p=0.306). About the risk of DMT discontinuation, OG patients showed lower risk (HR 0.70 CI95% 0.57-0.86 p=0.001) than IG patients.

Conclusions

Real-world data from the Italian MS registry suggest that first line oral DMTs are associated to lower risks of experiencing a new relapse and of therapy discontinuation in comparison to injectable DMTs.

Background

Therapeutic inertia (TI) is a worldwide phenomenon affecting physicians who manage patients with chronic conditions. Previous studies in Multiple Sclerosis (MS) showed TI affects 60 to 90% of neurologists and up to 25% of daily treatment decisions.

Objectives

To determine the most important factors and levels of attributes associated with treatment escalation in an international sample of neurologists with expertise in the management of patients with MS.

Methods

We conducted an international study comprised of 300 neurologists with expertise in MS from 20 countries (Europe: 59.4%, Asia/Australia: 18.3%, America: 22.3%). Participants were presented with 12 pairs of simulated MS patient profiles reflective of case scenarios encountered in clinical practice. Patient profiles included information on age, sex, previous MS history of relapses, MRI findings, desire for pregnancy, and other relevant details. We used disaggregated discrete choice experiments (a conjoint analysis), which is a standard technique used in economic research to estimate the weight of factors and attributes (e.g. categories) affecting physicians’ decisions when considering treatment selection by asking respondents to choose between pairs of options. In our study, participants were asked to select the ideal candidate (Patient A, B or neither) for treatment escalation (from first-line to second-line therapies- eg. Fingolimod, Cladribine, Monoclonal antibodies).

Results

Of 300 neurologists invited to participate, 229 (76.3%) completed the study. The mean age (SD) of study participants was 44 (±10) years. The mean (SD) number of MS patients seen per week by each neurologist was 18 (±16).

The top 3 factors (relative importance) associated with treatment escalation were: previous relapses (20%), EDSS (18%), and MRI activity (13%). Patient demographics and desire for pregnancy had a modest influence (<3%) in treatment escalation.

Participants were 13% less likely to escalate treatment for patients with EDSS >7.0 (compared to EDSS <6.0), whereas symptom severity during most recent relapse and higher number of MRI lesions at 1 year were each associated with 6% higher likelihood of treatment escalation.

We observed differences in the weight of factors associated with treatment escalation between MS specialists and non-specialists and participants practicing in European vs. non-European countries.

Conclusions

This is the first study applying a conjoint design to assess factors associated with treatment escalation and therapeutic inertia in neurologists caring for people living with MS. Our results provide critical information on factors influencing neurologists’ treatment decisions and should be applied to continuing medical education strategies.

Background

No clear metrics for sensitive and reliable identification of the transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive (SP)MS are available.

Objectives

To compare diagnostic performances of two different data-driven Secondary Progressive Multiple Sclerosis definitions.

Methods

patient with RRMS with a follow-up ≥5 years, with a current age ≥18 years, and with ≥3 EDSS scores recorded were selected from the Italian MS Registry. Annual incidence of SPMS conversion was reported as number of patients converting to SP every 100 patients/year. Three different SPMS definitions have been used. Data-driven definitions based on the Lorscheider’s algorithm (LA) and on the EXPAND trial inclusion criteria were validated, using the neurologist’s definition as gold standard, in terms of calibration, discrimination and goodness of fit by calculating: sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), the Akaike information criterion (AIC), the Area Under the Curve (AUC). The overall calibration of the data-driven definitions was evaluated by the Calibration Slope test.

Results

a cohort of 10,240 RRMS patients was extracted from the Italian MS Registry. According to the neurologist judgment, 880 (8.59%) patients were classified as SPMS in the dataset. By applying the LA and the EXPAND definition, 1,806 (17.64%) and 1,134 (11.07%) patients, respectively, were classified as SPMS. The annual rate of SP conversion during the follow-up was 0.74 every 100 patients/year based on the neurologist’s definition, 1.57 every 100 patients/year using the LA and 0.94 every 100 patients/year applying the EXPAND definition. Both the data-driven definitions were well calibrated, with a p-value of the Calibration Slope test higher than 0.05 (LA=0.55; EXPAND definition=0.57). The AIC (LA=4301; EXPAND definition=5510) and the R-Square (LA=0.15 vs EXPAND definition=0.05), were in favor of the LA. The LA showed a greater discrimination power (AUC: 0.83 vs 0.65) and a higher sensitivity (77.1% vs 38.0%) in comparison to the EXPAND definition. Both definitions showed similar specificity (88.0% vs 91.5%). The PPV and the NPV were both higher using the LA than those obtained by the EXPAND definition (37.5% vs 29.5%; 97.6% vs 94.0%, respectively).

Conclusions

An accurate definition of SP transition is needed for a timely and efficacious treatment of SPMS patients. Real-world data from the Italian MS Registry suggests that data-driven definitions had a greater ability to capture SP transition than neurologist’s definition and that the global accuracy of LA seems to be higher than a definition based on the EXPAND trial inclusion criteria.

Background

Brain-derived neurotrophic factor (BDNF) can promote neuronal growth and repair, playing a key role in synaptic plasticity, especially in the hippocampus. The BDNF Val66Met polymorphism was shown to strongly affect BDNF function, but its role in modulating gray matter damage in multiple sclerosis (MS) patients is still not clear.

Objectives

Considering BDNF relevance on hippocampal function, we aimed to explore the effect of BDNF Val66Met polymorphism on the atrophy of hippocampal subfields and its role in cognitive functioning in MS patients.

Methods

Using a 3T scanner, we obtained dual-echo and 3DT1-weighted sequences from 50 MS patients and 15 healthy controls (HC). MS patients also underwent genotype analysis of BDNF and an extensive neuropsychological evaluation. Hippocampal subfields were segmented by using Freesurfer 7.0.1 software. Multiple linear regression models adjusted for age, sex and disease duration were used for between-group comparisons and analysis of associations.

Results

The BDNF Val66Met polymorphism was found in 22 MS patients (44%). Compared to HC, MS patients had reduced volumes of: bilateral hippocampus-amygdala transition area (HATA); left cornus ammonis (CA)1, CA3 and granule cell layer of dentate gyrus (GCL-DG); and right fimbria and presubiculum. BDNF Val66Met polymorphism carriers compared to wild-type (Val66Val) MS patients had higher volume of left hippocampal CA1, CA3, CA4, GCL-DG, molecular layer of subiculum and HATA; and of right hippocampal tail, fissure and presubiculum. In MS patients, higher volume in left CA3 and in right presubiculum correlated with better performance in semantic fluency, while higher volume in left GCL-DG correlated with better visuo-spatial memory performance.

Conclusions

The BNDF Val66Met polymorphism has a protective role in MS patients against both hippocampal atrophy and cognitive deterioration. BDNF genotype may be a potential biomarker for predicting cognitive prognosis, and an interesting target to study for neuroprotective strategies.

Background

Understanding whether multiple sclerosis (MS) can have a favorable course is still challenging. However, a small group of patients who are not disabled after many years of disease can be identified. The mechanisms responsible for this ‘benign’ clinical course remain unclear, likely due to the lack of long-term studies.

Objectives

To assess brain damage in multiple sclerosis patients with no or minimal disability after a longstanding clinical course.

Methods

We compared 13 patients with long-term benign clinical course (LT-BMS, age >55 years, disease duration >30 years, Expanded Disability Status Scale [EDSS] <3.0) and 27 non-benign MS (non-BMS) patients (age >55 years, EDSS >3.0). MRI scans were retrospectively assessed (mean follow-up: 11 years, mean scan per patient: 3). Comparisons of brain volumes (BV) and total T2-lesion volume (LV) changes between the two groups were performed using a mixed effect model. Lesion probability maps (LPMs) of both groups were compared using a nonparametric permutation test.

Results

Patients with LT-BMS showed less over-time decrease in global BV (p=0.02) and grey matter (GM) volume (p<0.001) than non-BMS. Lower atrophy was seen in LT-BMS with no or mild cognitive impairment. By contrast, there was no over-time difference between patient groups in T2-LV accumulation and lesion frequency across brain.

Conclusions

Global brain and GM atrophy changes were mild in this unique patient group with long-standing and no or minimal physical and cognitive disability. These results support the relevant role of GM atrophy in characterizing MS patients who may have favorable long-term disease evolution.

Background

Some cohort studies have reported similar onset age and disability accrual in primary and secondary progressive MS (PPMS, SPMS); others have reported later onset and faster disability accrual in SPMS. Comparisons are complicated by differences in baseline disability and exposure to disease-modifying therapies (DMT), and by lack of a standardized definition of SPMS.

Objectives

We compared hazards of disability accrual in PPMS and SPMS patients from the MSBase cohort using multivariable Cox models, applying validated diagnostic criteria for SPMS (Lorscheider et al., Brain 2016).

Methods

Inclusion required adult-onset progressive MS; ≥ 3 recorded Expanded Disability Status Scale (EDSS) scores; and, for SPMS, initial records with EDSS ≤ 3 to allow objective identification of SPMS conversion. Phenotypes were subgrouped as active (PPMS-A, SPMS-A) if ≥ 1 progressive-phase relapse was recorded, and inactive (PPMS-N, SPMS-N) otherwise. Disability accrual was defined by sustained EDSS increases confirmed over ≥ 6 months. Hazard ratios (HR) for disability accrual were obtained using Andersen-Gill Cox models, adjusted for sex and time-varying age, disability, visit frequency, and proportion of time on DMT or immunosuppressive therapy. Sensitivity analyses were performed using (1) PPMS and SPMS diagnosed since 1995, and (2) physician-diagnosed SPMS. Cumulative probability of reaching EDSS ≥ 7 (wheelchair required) was assessed (Kaplan-Meier).

Results

5461 patients were included (1257 PPMS-N; 1308 PPMS-A; 1731 SPMS-N; 1165 SPMS-A). Age at progression onset was older in SPMS than PPMS (47.2 ± 10.2, vs. 41.5 ± 10.7 [mean ± SD]), and in the inactive subgroups of each phenotype. Hazard of disability accrual was decreased in SPMS relative to PPMS (HR 0.85; 95% CI 0.78–0.92); decreased by proportion of time on DMT (HR 0.99 per 10% increment; 0.98–0.99); and higher in males (1.18; 1.12–1.25). Relative to PPMS-N, hazard was decreased in SPMS-A (0.79; 0.71–0.87) but similar for PPMS-A (1.01; 0.93–1.10) and SPMS-N (0.94; 0.85–1.05). Sensitivity analyses corroborated these results. However, patients with SPMS-A reached EDSS ≥ 7 at younger ages (cumulative probability 30% by 57, vs. 64–66 for SPMS-N, PPMS-A, PPMS-N).

Conclusions

Progressive phase onset is later in SPMS than PPMS. Hazard of disability accrual during the progressive phase is lower in SPMS than PPMS. However, patients with SPMS-A reach wheelchair requirement younger than other progressive phenotypes, reflecting earlier progression onset versus SPMS-N, and greater disability at onset versus PPMS

Background

In secondary progressive multiple sclerosis (SPMS), reduction in the rates of disability accrual after starting disease modifying therapy (DMT) has largely been limited to patients with ongoing inflammatory activity. A delayed treatment effect, termed therapeutic lag, may obscure therapeutic benefits in SPMS.

Objectives

To compare the effect of high and low efficacy DMT on disability outcomes in patients with recently active and inactive SPMS after accounting for therapeutic lag.

Methods

Using data from MSBase, a multinational MS registry, and OFSEP, the French MS registry, we identified patients with SPMS as per a previously validated objective definition. We identified patients treated with high- (natalizumab, alemtuzumab, mitoxantrone, ocrelizumab, rituximab, cladribine, fingolimod) or low-efficacy (interferons, glatiramer acetate, teriflunomide) DMT after SPMS onset. Based on our previous work, an individualised estimate of duration of therapeutic lag was calculated for each patient. Only events that occurred after the estimated therapeutic lag period were included in the analysis. Propensity score matching was used to select groups with comparable baseline characteristics. Disability and relapse outcomes were compared in paired, pairwise-censored analyses adjusted for visit density.

Results

Of 7359 patients with SPMS, 1000 patients fulfilled the criteria for study inclusion (510 active SPMS, 490 inactive SPMS). For the relapse outcomes, patients with active SPMS treated with high-efficacy DMTs experienced lower probabilities of relapses than low-efficacy DMTs (hazard ratio [HR] 0.7 [95%CI 0.5-0.9], p=0.006). Patients with inactive SPMS had similar probabilities of relapses in the high and low efficacy DMT groups (0.8 [0.6-1.2], p=0.39). No difference in the risk of 6-month sustained disability accumulation, or proportion of patients reaching EDSS>=7, was observed between groups when accounting for therapeutic lag.

Conclusions

The risk of disability accumulation in SPMS seems to be comparable in patients treated with high- and low- efficacy DMT. High efficacy DMT is superior to low efficacy therapy in reducing relapse activity in patients with active SPMS, but not those with inactive SPMS. Pre-treatment inflammatory activity, clinical or radiological, is a treatable target in SPMS which may benefit from higher-efficacy anti-inflammatory therapies.

Background

The main clinical and MRI features driving therapeutic choices are not as clear for pediatric multiple sclerosis (MS) patients as for adults.

Objectives

We aimed at assessing early predictors of long-term clinically-relevant outcomes in a large cohort of pediatric MS patients.

Methods

Clinical and MRI assessment was obtained at disease onset and after 1, 2 and 3 years, in a cohort of 123 pediatric MS patients. The longest clinical follow-up (mean 9.33 +/- 3.45 years) was considered for long-term outcomes. Cox proportional hazards models were used to assess predictors of time to first relapse, while multivariable logistic and linear regression models identified clinical and MRI predictors of long-term outcomes.

Results

Across baseline features, optic nerve involvement predicted a shorter time to first relapse (hazard ratio=1.9, p=0.03). Predictors of annualized relapse rate (ARR) were: at baseline, presence of cerebellar (b=-0.16, p=0.00) and number of cervical cord lesions (b=0.14, p=0.01); considering short-term predictors, the same baseline variables together with time to first relapse (2-year: b=-0.12, p=0.01; 3-year: b=-0.08, p=0.00) and the number of relapses (1-year: b=0.14, p=0.00; 2-year: b=0.06, p=0.02). Baseline predictors of 10-year disability worsening were: at baseline, presence of optic nerve [odds ratio(OR)=6.45, p=0.01] and brainstem lesions (OR=6.17, p=0.04); considering short-term predictors, Expanded Disability Status Scale (EDSS) changes at 1 (OR=26.05, p=0.00) and 2 (OR= 16.38, p=0.02) years and the detection of at least two new T2-lesions in 2 years (2-year: OR=4.91, p=0.02; 3-year: OR=5.49, p=0.09). Predictors of higher 10-year EDSS score were: at baseline, EDSS score (b=0.58, p<0.001), presence of brainstem (b=0.31, p=0.04) and number of cervical cord lesions (b=0.22, p=0.05); considering short-term predictors, EDSS changes (1-year: b=0.82, p<0.001; 2-year: b=0.79, p<0.001, 3-year: b=0.27, p=0.04 ), together with the detection of at least two new T2-lesions at 1 (b=0.28, p=0.03) and 2 (b=0.35, p=0.01) years.

Conclusions

In conclusion, baseline spinal cord, brainstem and optic nerve lesions have a major role in predicting long-term outcomes, both in term of disease activity and of disability worsening. In addition, an accurate clinical and MRI monitoring during the first 2 years of disease has proven to represent a powerful tool for counseling patients about long-term prognosis and personalizing treatment strategies.

Background

Disease activity has been investigated in pregnant women with RRMS treated with low-efficacy or no therapy. How newer, more efficacious therapies affect relapse and disability progression risk after pregnancy remains understudied.

Objectives

To describe disease activity in a modern pregnancy cohort contrasted with historical cohorts. To determine the predictors of postpartum relapse and the predictors of six-month confirmed disability progression events in a contemporary pregnancy cohort.

Methods

Data were obtained from the MSBase Registry. Term/preterm pregnancies conceived from 2011-2019 (modern cohort) were compared with those conceived between 2005-2010 and pre-2005. Annualised relapse rates (ARR) were calculated for each pregnancy trimester and 12 months either side. Predictors of time-to-relapse postpartum (1^st 3 months) and time to 6-month confirmed disability progression event were determined with clustered Cox regression analyses. Breastfeeding duration and time to DMT reinitiation were modelled as time-varying covariates.

Results

We included 1640 pregnancies from 1452 women (modern cohort). Disease-modifying therapy (DMT) used in the year before conception included interferon-beta (n=597), natalizumab (n=219) and fingolimod (n=147). Continuation of DMT up to conception increased over time (31% pre-2005 vs 54% modern cohort). Preconception ARR decreased across epochs (pre-2005: 0·58 [95% CI 0·49-0·70]; 2005-2010: 0·40 [95% CI 0·36-0·45]; modern: 0·29 [95% CI 0·27-0·32]). In all epochs, ARR decreased during pregnancy to reach similar troughs in the 3^rd trimester, and rebounded in the 1^st 3-months postpartum. Preconception use of high-efficacy DMT predicted early postpartum relapse (hazard ratio (HR) 2.1 [1.4-3.1]); although those on no DMT were also at risk of postpartum relapse, relative to women on low-efficacy DMT (HR 2.7 [1.2-5.9]). Conception EDSS ≥2, higher preconception and in-pregnancy ARR were also risk factors. DMT reinitiation, particularly of high-efficacy DMT (HR 0.17 [0.07-0.38]), was protective against postpartum relapse. Women who breastfed were less likely to relapse (HR 0.63 [0.42-0.94]). 4.5% of modern pregnancies had confirmed disability progression after delivery. This was predicted by higher pregnancy and postpartum ARR, with postpartum ARR remaining independently predictive in multivariable analysis (HR 1.5 [1.2-2.0]).

Conclusions

The early postpartum period remains a period of vulnerability for disease rebound in women with MS in the modern era. Early DMT reinitiation, particularly with high-efficacy treatment, is protective against postpartum relapse. Confirmed disability progression events after pregnnacy are uncommon in the modern era. Relapse activity is the key driver of these events.