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Background: Alemtuzumab is administered intravenously (IV) for relapsing-remitting multiple sclerosis (RRMS), with limited studies of subcutaneous (SC) treatment. Objectives: We sought to evaluate the pharmacodynamics (PD), pharmacokinetics (PK), and safety profile of SC-administered alemtuzumab in people with progressive multiple sclerosis (PMS). Design: SCALA was a phase I, open-label, randomized, parallel-group study with two 12-month periods and a safety monitoring phase to 60 months. Methods: Of 29 screened participants, 24 were enrolled and randomized 2:1 to two 12 mg/day alemtuzumab treatments (60 and 36 mg total; SC:IV). Key inclusion criteria: ⩾18 years with a PMS diagnosis. Key exclusion criteria included RRMS diagnosis and prior treatment with anti-CD52 antibodies. Primary endpoint: CD3+ lymphocyte count. Secondary endpoints: PD and PK parameters. Results: Demographics were broadly similar for participants in the SC (16) and IV (8) arms; more participants with primary PMS received SC (44%) versus IV (25%) treatment. After the first course, the mean CD3+ cell count/µL was reduced at month 1 in both arms (SC: baseline (BL) 1326 to 48 vs IV: BL 1155 to 84). Lymphocyte counts partially repopulated by month 12, with mean CD3+ cell counts/µL of SC 599 versus IV 528. The mean lymphocyte counts/µL decreased again after the second course at month 13 in both arms (SC: 90 vs IV: 129), with partial repopulation by month 24. Alemtuzumab serum concentrations were lower following SC administration relative to IV, with 32% bioavailability. There were no adverse events leading to permanent treatment discontinuation or death. Conclusion: In SCALA, there were similar patterns of lymphocyte depletion and repopulation for participants receiving SC or IV alemtuzumab. In both arms, alemtuzumab had a manageable safety profile, with no emerging safety concerns. The general stabilization of neurological outcomes observed over 60 months underscores the potential long-term benefits of alemtuzumab treatment. Trial registration: Clinicaltrials.gov identifier: NCT02583594.

Background and objectivesDifferent treatment response scoring systems in treated MS patients exist. The objective was to assess the long-term predictive value of these systems in RRMS patients treated with self-injectable DMTs. MethodsRRMS-treated patients underwent brain MRI before the onset of therapy and 12 months thereafter, and neurological assessments every 6 months. Clinical and demographic characteristics were collected at baseline. After the first year of treatment, several scoring systems [Rio score (RS), modified Rio score (MRS), MAGNIMS score (MS), and ROAD score (RoS)] were calculated. Cox-Regression and survival analyses were performed to identify scores predicting long-term disability. ResultsWe included 319 RRMS patients. Survival analyses showed that patients with RS > 1 and RoS > 3 had a significant risk of reaching an EDSS of 4.0 and 6.0 The score with the best sensitivity (61%) was the RoS, while the MRS showed the best specificity (88%). The RS showed the best positive predictive value (42%) and the best accuracy (81%). ConclusionsThe combined measures integrated into different scores have an acceptable prognostic value for identifying patients with long-term disability.Thus, these data reinforce the concept of early treatment optimization to minimize the risk of long-term disability.

IntroductionTo evaluate the impact of the COVID-19 pandemic on (1) number of clinical visits, (2) magnetic resonance (MR) scans, and (3) treatment prescriptions in a multiple sclerosis (MS) referral centre. MethodsRetrospective study covering January 2018 to May 2021.ResultsThe monthly mean (standard deviation [SD]) of visits performed in 2020 (814[137.6]) was similar to 2018 (741[99.7]; p = 0.153), and 2019 (797[116.3]; p = 0.747). During the COVID-19 period (2020 year), 36.3% of the activity was performed through telemedicine. The number of MR scans performed dropped by 76.6% during the “first wave” (March 14 to June 21, 2020) compared to the mean monthly activity in 2020 (183.5[68.9]), with a recovery during the subsequent two months. The monthly mean of treatment prescriptions approved in 2020 (24.1[7.0]) was lower than in 2019 (30[7.0]; p = 0.049), but similar to 2018 (23.8[8.0]; p = 0.727). Natalizumab prescriptions increased in the “first wave” and onwards, whereas anti-CD20 prescriptions decreased during the COVID-19 period.ConclusionMaintenance of the number of clinical visits was likely due to telemedicine adoption. Although the number of MR dramatically dropped during the “first wave”, an early recovery was observed. Treatment prescriptions suffered a slight quantitative decrease during 2020, whereas substantial qualitative changes were found in specific treatments.

Background: Investigation of atrophy data from a pivotal natalizumab trial has demonstrated an increased rate of volume loss, compared to placebo, after the first year of therapy. It was considered to be probably due to a pseudoatrophy effect. Objective: To assess grey and white matter volume changes and their relation to global brain volume changes and to baseline inflammation, for patients under natalizumab therapy. Methods: We selected 45 patients on natalizumab therapy for at least 24 months, with magnetic resonance imaging (MRI) scans at baseline, 12 and 24 months. We calculated the percentage brain volume change (PBVC) for the first and second year, using SIENA software. Grey and white matter fractions (GMF and WMF, respectively) for the first year were calculated with SPM5, using lesion masks. After quality checks, six patients were excluded. We studied the predictive variables of change in brain volumes. Results: The PBVC decrease was faster during the first year (−1.10% ± 1.43%), as compared to the second (−0.51% ± 0.96%) (p = 0.037). These differences were more marked in patients with baseline gadolinium-enhancing lesions (p = 0.005). Mean GMF and WMF changes during the first year of treatment were +1.15% (n.s.) and −1.72% (p = 0.017), respectively. The presence of active lesions at baseline MRI predicted PBVC (p = 0.022) and WMF change (p = 0.026) during the first year of treatment, after adjusting for age and corticosteroid treatment. No predictors were found for GMF volume changes. Conclusion: Early brain volume loss during natalizumab therapy is mainly due to WMF volume loss and it is related to the inflammatory activity present at the onset of therapy. We found that the pseudoatrophy effect is mostly due to white matter volume changes.

The aim of this study was to investigate the feasibility of automatically assessing the 2-Minute Walk Distance (2MWD) for monitoring people with multiple sclerosis (pwMS). For 154 pwMS, MS-related clinical outcomes as well as the 2MWDs as evaluated by clinicians and derived from accelerometer data were collected from a total of 323 periodic clinical visits. Accelerometer data from a wearable device during 100 home-based 2MWD assessments were also acquired. The error in estimating the 2MWD was validated for walk tests performed at hospital, and then the correlation (r) between clinical outcomes and home-based 2MWD assessments was evaluated. Robust performance in estimating the 2MWD from the wearable device was obtained, yielding an error of less than 10% in about two-thirds of clinical visits. Correlation analysis showed that there is a strong association between the actual and the estimated 2MWD obtained either at hospital (r = 0.71) or at home (r = 0.58). Furthermore, the estimated 2MWD exhibits moderate-to-strong correlation with various MS-related clinical outcomes, including disability and fatigue severity scores. Automatic assessment of the 2MWD in pwMS is feasible with the usage of a consumer-friendly wearable device in clinical and non-clinical settings. Wearable devices can also enhance the assessment of MS-related clinical outcomes.

We aimed to investigate the ability of natalizumab (NTZ)-treated patients to assume treatment-associated risks and the factors involved in such risk acceptance. From a total of 185 patients, 114 patients on NTZ as of July 2011 carried out a comprehensive survey. We obtained disease severity perception scores, personality traits' scores, and risk-acceptance scores (RAS) so that higher RAS indicated higher risk acceptance. We recorded JC virus status (JCV+/-), prior immunosuppression, NTZ treatment duration, and clinical characteristics. NTZ patients were split into subgroups (A-E), depending on their individual PML risk. Some 22 MS patients on first-line drugs (DMD) acted as controls. No differences between treatment groups were observed in disease severity perception and personality traits. RAS were higher in NTZ than in DMD patients (p<0.01). Perception of the own disease as a more severe condition tended to predict higher RAS (p=0.07). Higher neuroticism scores predicted higher RAS in the NTZ group as a whole (p=0.04), and in high PML-risk subgroups (A-B) (p=0.02). In low PML-risk subgroups (C-E), higher RAS were associated with a JCV+ status (p=0.01). Neither disability scores nor pre-treatment relapse rate predicted RAS in either group. Risk acceptance is a multifactorial phenomenon, which might be partly explained by an adaptive process, in light of the higher risk acceptance amongst NTZ-treated patients and, especially, amongst those who are JCV seropositive but still have low PML risk, but which seems also intimately related to personality traits.

Background: In patients with relapsing–remitting multiple sclerosis (RRMS), a scoring system based on new magnetic resonance imaging (MRI) active lesions, relapses and sustained disability progression after a 1-year treatment with IFNβ predicted patient disability progression over time; however, this score had not been tested in patients receiving glatiramer acetate (GA). Objective: The objective of this study was to evaluate whether this previous scoring system can also be applied to patients treated with GA. Methods: This was a prospective, longitudinal study of 151 RRMS patients treated with GA. Their scores were constructed, based on the clinical and MRI activity after 1 year of therapy. Regression analysis was performed, in order to identify the response variables. Results: The total possible score range was 0–3. Patients with a score of ≥ 2 and those with clinical activity (with or without MRI activity) during their first year of treatment were at increased risk of continuing with relapses and/or sustained disability in the next 2 years (odds ratio (OR): 38.8; p < 0.0001 and OR: 7.8; p < 0.009, respectively). Conclusions: In RRMS patients treated with GA, a combination of clinical activity measures may have prognostic value for identifying patients with disease activity in the next 2 years of therapy.

Background: Rapidly progressive dementia (RPD) is caused by a heterogeneous group of both neurodegenerative and non-neurodegenerative disorders. The presence of concomitant pathologies, mainly Alzheimer's disease (AD), may act as a confounding variable in the diagnostic process of this group of diseases. Objectives: We aimed to describe clinicopathological features, including Alzheimer's co-pathology, and diagnostic accuracy in a postmortem series of RPD. Methods: Retrospective analysis of 160 brain donors with RPD (defined as 2 years of disease duration from the first symptom to death) registered at the Neurological Tissue Bank of the Biobanc-Hospital Clínic-IDIBAPS, from 2001 to 2011. Results: Prion diseases were the most frequent neuropathological diagnosis (67%), followed by non-prion neurodegenerative pathologies (17%), mostly AD and dementia with Lewy bodies, and non-neurodegenerative diseases (16%). We observed clinicopathological diagnostic agreement in 94% of the patients with prion RPD but only in 21% of those with non-prion RPD. Four patients with potentially treatable disorders were diagnosed, while still alive, as having Creutzfeldt-Jakob disease. Concomitant pathologies were detected in 117 (73%). Among all RPD cases, 51 presented moderate or frequent mature β-amyloid plaques (neuritic plaques), which are considered to be associated with positive amyloid biomarkers in vivo. Conclusions: Prion diseases were accurately identified in our series. In contrast, non-prion RPD diagnosis was poor while the patients were still alive, supporting the need for better diagnostic tools and confirmatory neuropathological studies. The presence of concomitant AD pathology in RPD should be taken into account in the interpretation of amyloid biomarkers.