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Background: Evidence on the impact of dimethyl fumarate (DMF) during pregnancy in women with multiple sclerosis (MS) is limited., Objectives: To investigate disease activity and pregnancy outcomes in a retrospective cohort of women exposed to DMF in early pregnancy., Methods: Women discontinuing DMF after pregnancy confirmation were identified from 29 Italian MS Centers. Disease activity 12 months before conception, during pregnancy, and 12 months postpartum were recorded, exploring reactivation predictors. Pregnancy and fetal outcomes were assessed., Results: The study analyzed 137 pregnancies (12 pregnancy losses, 125 live births) from 137 women (mean age 32.9 ± 4.7 years), discontinuing DMF within a median (interquartile range (IQR)) interval of 4.9 (3.7-5.7) weeks from conception. In live birth pregnancies, annualized relapse rate (ARR) significantly decreased during pregnancy (ARR = 0.07, 95% confidence interval (CI): 0.03-0.14, p = 0.021) compared to pre-conception (ARR = 0.21 (95% CI: 0.14-0.30)) and increased postpartum ((ARR = 0.22 (95% CI: 0.15-0.32), p = 0.006). Median time to first relapse (TTFR) was 3.16 (IQR: 1:87-5.42) months. Higher pre-conception relapse number (hazard ratio (HR) = 2.33, 95% CI: 1.08-5.02) and Expanded Disability Status Scale (EDSS; HR = 1.81, 95% CI: 1.17-2.74) were associated with shorter TTFR, while treatment resumption with longer TTFR (HR = 0.29, 95% CI: 0.11-0.74). Fetal outcomes were unaffected by DMF exposure., Conclusion: DMF discontinuation does not increase relapse risk during pregnancy. Early therapy restart prevents postpartum relapses. Early DMF exposure shows no adverse fetal outcomes., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: D.L. received travel funding from Biogen, Merck-Serono, Sanofi-Genzyme, Teva, Bristol-Myers Squibb, Mylan, Novartis, Roche, Horizon, Alexion speaking or consultation fees from Sanofi-Genzyme, Merck-Serono, Teva, Biogen, Roche, Novartis, Bristol-Myers Squibb, Bayer-Schering. S.B. received travel funding from Biogen and Bristol-Myers Squibb. F.B. reported receiving teaching honoraria from Novartis and personal fees from Eisai, Biogen, and Chiesi outside the submitted work. M.P.A. has received research grants honoraria as a speaker and member of Advisory Boards from Biogen, Bayer, Novartis, Roche, Teva, Sanofi-Genzyme, Merck, Roche Celgene BMS, Janssen, Horizon. S.B. speaker honoraria and/or travel/congress grant from: Novartis, Merck-Serono, Alexion, BMS, Biogen, Roche, Janssen-Cilag. Research grant from Roche. G.B. received honoraria for speaking or consultation fee from Almirall, Biogen, Merck, Novartis, Sanofi, Teva, Roche. M.B. declares fees from Biogen, Sanofi-Genzyme, Roche, and Novartis. S.B. has been founded for advisory board, academic purposes and speech honoraria by Genzyme, Roche, Biogen, Merck-Serono, Novartis and Almirall. P.C. received honoraria for speaking and/or for consultancy and support for participation to scientific congresses from Almirall, Biogen, Merck-Serono, Novartis, Sanofi-Genzyme, Roche, Teva, Alexion, Celgene BMS, Janssen, Horizon. M.C. received personal compensations for public speaking from Novartis, Sanofi-Genzyme, Teva and consulting fees from Roche and Zambon. D.C. is an Advisory Board member of Almirall, Bayer-Schering, Biogen, GW Pharmaceutical, Merck-Serono, Novartis, Roche, Sanofi-Genzyme and Teva and received honoraria for speaking or consultation fee from Almirall, Bayer-Schering, Biogen, GW Pharmaceuticals, Merck-Serono, Novartis, Roche, Sanofi-Genzyme and Teva. He is also the principal investigator in clinical trials for Bayer-Schering, Biogen, Merck-Serono, Novartis, Roche, Sanofi-Genzyme. E.C. received travel grant, speaker fee and consultancy from Biogen Idec, Teva, Genzyme, Merck-Serono, Novartis, Roche and Admirall. A.C. has served on scientific advisory boards for Merck-Serono, Sanofi-Genzyme, Biogen, Novartis, Almirall. She has received institutional research support from Roche and Biogen. A.C. received speaker honoraria from Biogen, Sanofi-Genzyme, Teva and travel grants from Biogen, Merck, Sanofi-Genzyme, Teva; advisory boards member honoraria from Biogen, Merck, Novartis, Teva. E.D.A. received speaking honoraria from Biogen, Merck-Serono, Novartis, Sanofi-Genzyme, Bayer-Schering. M.D.F. participated on advisory boards and steering committees for and received speaker or writing honoraria, research support and funding for traveling from Alexion, BMS, Bayer, Biogen Idec, Genzyme, Horizon, Merck, Mylan, Novartis, Roche, Siemens Healthineers, Teva and Viatris. R.D. received honoraria as a speaker and member of advisory boards by: Merck-Serono, Roche, Novartis and travel funding from Almirall, Biogen, Novartis and Sanofi-Genzyme, Roche, Merck-Serono. R.F. has received consulting fees and honoraria for advisory boards from Biogen Idec, Merck-Serono, Novartis, Roche, and TEVA. E.F. has received travel grants from Biogen, Merck, Sanofi-Genzyme, Novartis, and Roche. M.F. is Editor-in-Chief of the Journal of Neurology, Associate Editor of Human Brain Mapping, Associate Editor of Radiology, and Associate Editor of Neurological Sciences; received compensation for consulting services from Alexion, Almirall, Biogen, Merck, Novartis, Roche, Sanofi; speaking activities from Bayer, Biogen, Celgene, Chiesi Italia SpA, Eli Lilly, Genzyme, Janssen, Merck-Serono, Neopharmed Gentili, Novartis, Novo Nordisk, Roche, Sanofi, Takeda, and Teva; participation in Advisory Boards for Alexion, Biogen, Bristol-Myers Squibb, Merck, Novartis, Roche, Sanofi, Sanofi-Aventis, Sanofi-Genzyme, Takeda; scientific direction of educational events for Biogen, Merck, Roche, Celgene, Bristol-Myers Squibb, Lilly, Novartis, Sanofi-Genzyme; he receives research support from Biogen Idec, Merck-Serono, Novartis, Roche, Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla, and Fondazione Italiana di Ricerca per la SLA. M.F. published opinions in a medical journal on other pharmaceuticals and received financial support for travel and meeting attendance from Biogen, Merck, Roche, Sanofi-Genzyme and Novartis. A.G. received honoraria for speaking and travel grants from Merck, Genzyme, Teva, Mylan, Roche and Novartis. F.G. received research funding from Sanofi-Genzyme and Biogen, fees for advisory boards and speaking honoraria from Biogen, Novartis, Sanofi-Genzyme, Merck-Serono and Roche, travel funding from Biogen, Sanofi-Genzyme, Merck-Serono, and Roche. A.I. received consulting fees from Janssen. R.L. received personal compensations for speaking or consultancy from Biogen, BMS, Sanofi, Merck, Novartis, Roche and Alexion. L.L. received travel grant, speaker fee and consultancy from Biogen Idec, Teva, Sanofi-Genzyme, Merck-Serono, Novartis, Roche and Almirall. M.L. has served on advisory boards and/or has received travel grants and/or speaker honoraria from Merck, Biogen, Almirall, Novartis, and Sanofi-Genzyme. G.L. received speaker honoraria and/or consultancy from Biogen, Teva, Genzyme, Merck, Novartis, Almirall, Roche. G.M. received travel funding from Almirall, Biogen, Novartis and Sanofi-Genzyme, Bristol-Myers Squibb, Horizon, Roche, Merck-Serono. M.M. received compensation for consulting services, speaking activities, and participation in advisory board from Alexion, Almirall, Bayer, Biogen, Bristol-Myers Squibb, Celgene, CSL Behring, Novartis, Roche, Sanofi-Genzyme, Janssen, Merck-Serono, and Viatris; he received research support from Biogen, Merck-Serono, Novartis, and Roche. L.M. received honoraria for speaking activity at scientific meetings and/or advisory boards from Biogen, Merck-Serono, Sanofi-Genzyme, Novartis, Roche, Alexion, Celgene, Almirall. G.N. received travel funding from Almirall, Biogen, Novartis and Sanofi-Genzyme, Horizon, Roche, Merck-Serono. F.P. reports grants from Biogen, grants from Merck, grants from FISM, grants from Onlus association, grants from University of Catania, personal fees from Almirall, personal fees from Bayer, personal fees from Biogen, personal fees from Merck, personal fees from Roche, personal fees from Sanofi, personal fees from TEVA, outside the submitted work. P.R. received travel expenses or honoraria for speaking or participating to advisory board by: Biogen idec, Bristol-Myers Squibb, Merck, Novartis, Roche, Sanofi. S.R. has received travel expenses or honoraria for speaking or participating to advisory boardby: Biogen idec, Merck, Sanofi-Genzyme, Novartis, Teva, Roche, Bristol-Myers squibb. G.S. received travel expenses by Roche and Novartis. E.S. received speaker honoraria and/or consultancy from Biogen, Teva, Genzyme, Merck, Novartis, Almirall, and Roche. L.S. received congress grants from Merck-Serono, Biogen and board grants from Norvartis, Merck-Serono. M.P.S. has received consulting fees from Biogen, GeNeuro, MedDay, Merck, Novartis, Roche, Sanofi and Teva. V.T. has received honoraria, travel grants and research grant support from FISM, Italian Ministry of Health, Alexion, Roche, Merck, Biogen, Novartis, Viatris, Bristol-Myers Squibb, Almirall, Horizon, Lundbeck, Sanofi, Janssen. D.V. has received travel grants and honoraria for Advisory Boards from Novartis, Roche, Teva, Sanofi-Genzyme, Merck-Serono, and Almirall. G.A.M. received ravel funding, speaking or consultation fees from Almirall, Bayer-Schering, Biogen, Sanofi-Genzyme, Merck-Serono, Novartis, Teva, Mylan, Bristol Mayers Squibb and research grants from Roche and Biogen. The remaining authors have nothing to disclose.

Background and Objectives: Retinal optical coherence tomography (OCT) provides promising prognostic imaging biomarkers for future disease activity in multiple sclerosis (MS). However, raw OCT-derived measures have multiple dependencies, supporting the need for establishing reference values adjusted for possible confounders. The purpose of this study was to investigate the capacity for age-adjusted z scores of OCT-derived measures to prognosticate future disease activity and disability worsening in people with MS (PwMS)., Methods: We established age-adjusted OCT reference data using generalized additive models for location, scale, and shape for peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layer (GCIP) thicknesses, involving 910 and 423 healthy eyes, respectively. Next, we transformed the retinal layer thickness of PwMS from 3 published studies into age-adjusted z scores (pRNFL-z and GCIP-z) based on the reference data. Finally, we investigated the association of pRNFL-z or GCIP-z as predictors with future confirmed disability worsening (Expanded Disability Status Scale score increase) or disease activity (failing of the no evidence of disease activity [NEDA-3] criteria) as outcomes. Cox proportional hazards models or logistic regression analyses were applied according to the original studies. Optimal cutoffs were identified using the Akaike information criterion as well as location with the log-rank and likelihood-ratio tests., Results: In the first cohort (n = 863), 172 PwMS (24%) had disability worsening over a median observational period of 2.0 (interquartile range [IQR]:1.0-3.0) years. Low pRNFL-z (≤-2.04) were associated with an increased risk of disability worsening (adjusted hazard ratio (aHR) [95% CI] = 2.08 [1.47-2.95], p = 3.82e -5 ). In the second cohort (n = 170), logistic regression analyses revealed that lower pRNFL-z showed a higher likelihood for disability accumulation at the two-year follow-up (reciprocal odds ratio [95% CI] = 1.51[1.06-2.15], p = 0.03). In the third cohort (n = 78), 46 PwMS (59%) did not maintain the NEDA-3 status over a median follow-up of 2.0 (IQR: 1.9-2.1) years. PwMS with low GCIP-z (≤-1.03) had a higher risk of showing disease activity (aHR [95% CI] = 2.14 [1.03-4.43], p = 0.04). Compared with raw values with arbitrary cutoffs, applying the z score approach with optimal cutoffs showed better performance in discrimination and calibration (higher Harrell's concordance index and lower integrated Brier score)., Discussion: In conclusion, our work demonstrated reference cohort-based z scores that account for age, a major driver for disease progression in MS, to be a promising approach for creating OCT-derived measures useable across devices and toward individualized prognostication.

Background: The reason why some multiple sclerosis (MS) patients show disease activity after alemtuzumab (ALM) is still unclear, but ocrelizumab (OCR) could represent an interesting sequential therapeutic approach., Objectives: To investigate safety and efficacy of OCR in MS patients with disease activity after two ALM courses., Methods: Observational retrospective multi-centers Italian cohort study., Results: Seventy-two subjects were included. Mean follow-up (FU) was 2.4 (±1) years. Forty-five patients (62.5%) experienced at least one adverse event (AE), with infections accounting for 96.7% of cases. A reduction in total lymphocytes was observed between OCR start and 6 months FU, driven by BCD19+ lymphocytes depletion ( p < 0.001). Immunoglobulin M (IgM) levels decreased between OCR start and 6 months FU ( p < 0.001). At 2-year FU, relapse, magnetic resonance imaging (MRI) activity and disability worsening-free survival were 92.1%, 90.8%, and 89.2%. The evidence of inflammatory activity between the two ALM courses was associated with higher risk of relapse, MRI activity, and NEDA-3 status loss in relapsing-remitting multiple sclerosis (RRMS; p = 0.02, p = 0.05, p = 0.01, respectively)., Conclusions: OCR after two ALM courses seemed to be safe and effective. Early IgM hypogammaglobulinemia occurred in a high proportion of patients. The evidence of inflammatory activity between ALM courses seemed to increase the risk of MS re-activation on OCR treatment., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: C. Lapucci has received honoraria for speaking, travel grants, and for participating in the advisory board from Merck, Sanofi, Novartis, Roche, Alexion. J. Frau served on scientific advisory boards for Biogen and Genzyme, and has received honoraria as a speaker from Merck Serono, Genzyme, Biogen, and Teva. E. Cocco reported grants, personal fees, and non-financial support from Biogen and Merck; personal fees and non-financial support from Novartis; grants from Roche; and personal fees from Genzyme. G. Coghe received honoraria for consultancy or speaking from Biogen, Novartis, Sanofi, Genzyme, Serono, Teva, and Almirall. M. Petracca has received travel/meeting expenses from Novartis, Janssen, Roche, and Merck; speaking honoraria from HEALTH&LIFE S.r.l., AIM Education S.r.l., Biogen, Novartis, and FARECOMUNICAZIONE E20; honoraria for consulting services and advisory board participation from Biogen; research grants from Baroni Foundation and the Italian Ministry of University and Research. R. Lanzillo has received honoraria from Biogen, Merck, Novartis, Roche, and Teva. V. Brescia Morra has received research grants from the Italian MS Society and Roche, and honoraria from Bayer, Biogen, Merck, Mylan, Novartis, Roche, Sanofi-Genzyme, and Teva. C.G. Nicoletti received travel funding from Biogen, Merck Serono, Sanofi-Genzyme, Roche, Teva, Novartis, Bristol Mayer Squibb, Janssen, Almirall and consultation fees from Sanofi, Almirall, Merck- Serono, Roche, Novartis, and Biogen. She is a sub-investigator in clinical trials being conducted for Biogen, Merck Serono, Roche, Biogen, Sanofi, Novartis, Teva, Bristol Mayer Squibb. D. Landi has received travel funding from Biogen, Merck Serono, Sanofi, Teva, Bristol Myers Squibb, Mylan; speaking or consultations fees from Sanofi, Merck Serono, Teva, Biogen, Roche, Novartis, Bristol Myers Squibb, BayerSchering. G. Marfia has received travel funding, speaking or consultation fees from Almirall, Bayer-Schering, Biogen, Sanofi, Merck Serono, Novartis, Teva, Mylan, Bristol Mayers Squibb and research grants from Roche and Biogen. M. Vercellino has received congress grants, speaker fees and advisory board fees from Merck-Serono, Novartis, Roche, Biogen, Sanofi Genzyme. P. Cavalla has received honoraria as speaker or travel grants to attend national and international conferences or consultation for advisory boards from Alexion, Almirall, Bayer Schering, Biogen, Cellgene-BMS, Merck-Serono, Teva, Roche, Novartis, Sanof-Genzyme, and Janssen. A. Bianco has received honoraria for speaking, advisory board/consulting from Biogen, Novartis, Merck Serono, Roche, Sanofi Genzyme. M. Mirabella has received honoraria for speaking, advisory board/consulting from Biogen, Novartis, Merck Serono, Roche, Almirall, Sanofi Genzyme, Janssen, Bristol-Myers Squibb, Viatris, Alexion. He is principal investigator in clinical trials for Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme, CSL Behring, Ultragenix, Argenx. V. Torri Clerici acted as an Advisory Board member of Biogen Idec, Novartis, Merck Serono, Roche, Sanofi Genzyme, Almirall, Lundbeck and Bristol Myers Squibb; she received funding for traveling and honoraria for speaking or writing from Novartis, Sanofi Genzyme, Horizon, Merck Serono, Roche, Bristol Myers Squibb, Janssen and Almirall. She received support for research project by Almirall. E. Tomas received funding for work contract from Roche. M.T. Ferrò has received consultancy fees or speaker compensation from Sanofi, Bristol, Biogen Idec, and Novartis. L. Moiola has received honoraria for speaking and for participating in advisory board from Merck, Celgene, Biogen, Sanofi, Novartis, Roche, Alexion. M. Zaffaroni has received advisory board membership, speakers honoraria, travel support, research grants, consulting fees or clinical trial support from Actelion, Almirall, Bayer Schering, Biogen, Celgene, Excemed, Genzyme, Merck, Novartis, Sanofi, Roche, Teva. M. Ronzoni has received travel grants for congresses participation from Biogen, Genzyme, Novartis e Merck. G. Novi has received speaker honoraria from Merck, Novartis, Roche, Alexion. M. Cellerino has received consulting fees from Novartis, Genzyme, Teva and Zambon. A. Uccelli has received grants (to his institution) from FISM, Biogen, Roche, Alexion, and Merck Serono and has participated on a data safety monitoring board or advisory board (to his institution) for BD, Biogen, Iqvia, Sanofi, Roche, Alexion, and Bristol Myers Squibb. M. Inglese received grants from NIH, NMSS, and FISM; received fees for consultation from BMS, Janssen, Roche, Genzyme, Merck, Biogen and Novartis. P. Grossi, A. Nozzolillo, and F. Pinardi have nothing to disclose.

Background and Purpose: Pediatric multiple sclerosis (MS) displays different pathological features compared to adult MS, which can be studied in vivo by assessing tissue magnetic susceptibility with 3T-MRI. We aimed to assess different white matter lesions (WMLs) phenotypes in pediatric MS patients using quantitative susceptibility mapping (QSM) and susceptibility mapping weighted imaging (SMWI) over 12 months., Methods: Eleven pediatric MS patients [female: 63.6%; mean ± standard deviation (SD) age and disease duration: 16.3 ± 2.2 and 2.4 ± 1.5; median (range) Expanded Disability Status Scale (EDSS) 1 (0-2)] underwent 3 Tesla-MRI exams and EDSS assessments at baseline and after 1 year. QSM and SMWI were obtained using 3-dimensional (3D)-segmented echo-planar-imaging with submillimetric spatial resolution. WMLs were classified according to their QSM appearance and SMWI was used to identify QSM hyperintensities ascribable to veins. Total brain volumes at baseline and follow-up were computed using high-resolution 3D T1-weighted images., Results: Mean ± SD paramagnetic rim lesions (PRLs) prevalence was 7.0% ± 9.0. Fifty-four percent (6/11) of patients exhibited at least one PRL, with one patient exhibiting ≥ 4 PRLs. All patients showed QSM-iso-/hypo-intense lesions, which represented a mean ± SD of 65.8% ± 22.7 of total WMLs. QSM-hyperintense WMLs showed a positive correlation with total brain volume reduction at follow-up (r = 0.705; p =  .02). No lesion was classified as different between baseline and follow-up., Conclusion: Chronic compartmentalized inflammation seems to occur early in pediatric MS patients with short disease duration. A high prevalence of iso-/hypo-intense lesions was found, which could account for the higher remyelination potential in pediatric MS., (© 2024 American Society of Neuroimaging.)

Background: The management of Multiple Sclerosis (MS) has undergone transformative evolution with the introduction of high-efficacy disease-modifying therapies (DMTs), specifically anti-CD20 monoclonal antibodies, such as ocrelizumab (OCR) and ofatumumab (OFA)., Materials and Methods: This is an independent retrospective cohort study in Relapsing MS (RMS) patients followed at eight Italian MS centers who initiated treatment with OCR or OFA in the participating centers and with at least 12 months on therapy. A generalized linear regression model inverse probability of treatment weight (IPTW) PS-adjusted was performed to evaluate the relationship between annualized relapse rate (ARR) and treatment groups. No evidence of disease activity-NEDA-3 at 12-month score was also collected. Safety profile of the investigated DMTs was recorded., Results: A total cohort of 396 RMS patients fulfilled the required criteria and were enrolled in the study. Out of them, 216 had a prescription of OCR and 180 of OFA. The mean follow-up was 13.2 ± 1.9 months. The estimated means for ARR did not show differences between the two groups, 0.059 for patients on OCR and 0.038 for patients on OFA (p = 0.185). The generalized regression model IPTW PS-adjusted did not reveal differences between patients on OCR and OFA (ExpB OFA 0.974, 95%CI 934-1.015, p = 0.207). NEDA-3 at 12 months was experienced by 199(92.1%) patients on OCR and 170(94.4%) patients on OFA (p = 0.368). Generally, both therapies exhibit good tolerability., Conclusions: The treatment with OCR and OFA resulted in comparable control of disease activity with good safety profile. Our results need further validation in larger multicentre studies with long-term follow-up., (© 2024. The Author(s).)

Background and Purpose: Neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) diagnosis are based on the presence of serological and magnetic resonance imaging (MRI) biomarkers. Diffusion tensor imaging (DTI), neurites orientation dispersion and density imaging (NODDI), and the Spherical Mean Technique (SMT) may be helpful to provide a microstructural characterization of the different types of white matter lesions and give an insight about their different pathological mechanisms. The aim of the study was to characterize microstructural differences between brain typical lesions (TLs) and nontypical lesions (nTLs)., Methods: A total of 17 NMOSD and MOGAD patients [9 Aquaporin4 (AQP4) + NMO, 2 seronegative-NMO, 6 MOGAD] underwent MRI scans on a 3 Tesla MAGNETON PRISMA. Diffusion parameters (fractional anisotropy; mean diffusivity [MD]; intracellular volume fraction [ICVF]; extra-neurite transverse diffusivity; and extra-neurite MD; neurite signal fraction) were obtained using DTI, NODDI, and SMT. Microstructural parameters within lesions were compared through a generalized linear model using age, sex, and total lesion volume as covariates., Results: In NMOSD/MOGAD whole cohort (total lesions = 477), TLs showed increased MD and decreased ICVF compared to nTLs (p < .05), indicating higher inflammation and axonal loss. Similar results were found also in the AQP4 + NMO subgroup (decreased ICVF, p < .05). Furthermore, in NMOSD/MOGAD whole cohort and in AQP4 + NMO subgroup, TLs showed a trend toward higher EXRATRANS than nTLs, suggesting a more severe degree of demyelination within TLs., Conclusions: TLs and nTLs in NMOSD/MOGAD showed different diffusion MRI-derived microstructural features, with TLs showing a more severe degree of inflammation and fiber disruption with respect to nTLs., (© 2024 The Author(s). Journal of Neuroimaging published by Wiley Periodicals LLC on behalf of American Society of Neuroimaging.)

Background: In the general population, maternal COVID-19 is associated with worse maternal and fetal outcomes. Two previous studies have assessed COVID-19 clinical outcomes in pregnant women with multiple sclerosis (MS), but there are no data about maternal and fetal outcomes., Objectives: In this multicenter study, we aimed to assess maternal and fetal outcomes in pregnant women with MS and COVID-19 infection., Methods: We recruited pregnant patients with MS who contracted COVID-19 and were followed up in Italian and Turkish Centers, during 2020-2022. A control group was extracted from a previous Italian cohort. Associations between group (COVID-19 or healthy patients) and clinical outcomes (maternal complications, fetal malformations, and spontaneous abortion) were investigated with a weighted logistic regression where propensity score-based inverse probability of treatment weighting (IPTW) approach was applied for adjusting for difference in baseline confounders., Results: In the multivariable analysis, COVID-19 during pregnancy was associated with a higher risk of maternal complications (odd ratio (OR) = 2.12; 95% confidence interval (CI) = 1.32-3.48; p = 0.002), while it was not associated with higher risk of spontaneous abortion and fetal malformations., Conclusion: Our data indicate that COVID-19 during pregnancy increases the risk of maternal complications, while it seems to have no significant impact on fetal outcomes., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: S.S. has received honoraria or consultancy fees for participating to advisory boards, giving educational lectures and/or travel and registration coverage for attending scientific congresses or symposia from F. Hoffmann-La Roche Ltd, Sanofi-Genzyme, Merck Serono, Novartis, Teva, and Biogen Idec/Gen Pharma. R.K. has received honoraria for giving educational lectures, consultancy fees for participating advisory boards, and travel grants for attending scientific congresses or symposia from Roche, Sanofi-Genzyme, Merck Serono, Novartis, Teva, Biogen Idec/Gen Pharma of Turkey, Abdi İbrahim İlac, Deva, and ARIS. A.S. has received honoraria or consultancy fees for participating to advisory boards, giving educational lectures and/or travel and registration coverage for attending scientific congresses or symposia from F. Hoffmann-La Roche Ltd, Sanofi-Genzyme, Merck Serono, Novartis, Teva, Biogen Idec/Gen Pharma of Turkey, and Abdi İbrahim İlac. E.P. received compensation for travel grants, participation in advisory board and/or speaking activities from Biogen, Merck Serono, Sanofi, Teva, and Novartis and serves on the editorial board of Frontiers in Neurology and Brain Sciences. M.P.A. served on scientific advisory boards for and has received speaker honoraria and research support from Biogen Idec, Merck Serono, Bayer Schering Pharma, and Sanofi Aventis and serves on the editorial board of Multiple Sclerosis Journal and BMC Neurology. M.P.S. received consulting fees from Roche, Biogen, Merck, Novartis, Sanofi, Celgene, Immunic, Geneuro, GSK, and MedDay; received payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events from Roche, Biogen Merck, Novartis, Sanofi, and Celgene; and participated on a Data Safety Monitoring Board or Advisory Board for Roche, Sanofi, Novartis, and Merck. I.S. received consulting fees from Hippocrates Research, NovaNeuro, Sakura Italia, ADL Farmaceutici, and Associazione Commissione Difesa Vista Onlus. C.C. received grants or contracts from Roche, Novartis, Merck Serono, Biogen, and Celgene and received consulting fees from Biogen. L.M. received compensation for consulting services, travel grants, and/or speaking activities from Biogen, Serono, Sanofi, Teva, Roche, and Novartis. E.S. received personal compensation from Almirall, Biogen, Sanofi, Novartis, Roche, Horizon, Alexion, Merck, Mylan, and Teva for traveling and advisory boards. S.D.B. received personal compensation from Alexion, Almirall, Biogen, Merck Novartis, Roche, and Sanofi for traveling and advisory boards. M.B. received honoraria for speaking, advisory board, consulting from Teva, Genzyme, Biogen, Bristol MS, Merck, and Novartis. M.C. received personal compensations from Novartis, Genzyme, and Teva and consulting fees from Zambon. R.F. received honoraria for advisory boards and consulting from Bristol MS, Roche, Merck, and Novartis. P.C. received honoraria as speaker or travel grants to attend national and international conferences or consultation for advisory boards from Alexion, Almirall, Bayer Schering, Biogen, Cellgene-BMS, Janssen, Merck Serono, Teva, Roche, Novartis, Sandoz, and Sanofi-Genzyme. S.T. received travel grants or personal compensations from Biogen, Novartis, Sanofi-Genzyme, Roche, Janssen, Teva, and Almirall. The remaining authors have nothing to report.

Background: Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity., Methods: We have analysed a prospective multi-centric cohort of 322 MS patients and 98 healthy controls from four MS centres, collecting disability scales at baseline and 2 years later. Imaging data included brain MRI and optical coherence tomography, and omics included genotyping, cytomics and phosphoproteomic data from peripheral blood mononuclear cells. Predictors of clinical outcomes were searched using Random Forest algorithms. Assessment of the algorithm performance was conducted in an independent prospective cohort of 271 MS patients from a single centre., Results: We found algorithms for predicting confirmed disability accumulation for the different scales, no evidence of disease activity (NEDA), onset of immunotherapy and the escalation from low- to high-efficacy therapy with intermediate to high-accuracy. This accuracy was achieved for most of the predictors using clinical data alone or in combination with imaging data. Still, in some cases, the addition of omics data slightly increased algorithm performance. Accuracies were comparable in both cohorts., Conclusion: Combining clinical, imaging and omics data with machine learning helps identify MS patients at risk of disability worsening., (© 2023. The Author(s).)

Complex diseases such as Multiple Sclerosis (MS) cover a wide range of biological scales, from genes and proteins to cells and tissues, up to the full organism. In fact, any phenotype for an organism is dictated by the interplay among these scales. We conducted a multilayer network analysis and deep phenotyping with multi-omics data (genomics, phosphoproteomics and cytomics), brain and retinal imaging, and clinical data, obtained from a multicenter prospective cohort of 328 patients and 90 healthy controls. Multilayer networks were constructed using mutual information for topological analysis, and Boolean simulations were constructed using Pearson correlation to identified paths within and among all layers. The path more commonly found from the Boolean simulations connects protein MK03, with total T cells, the thickness of the retinal nerve fiber layer (RNFL), and the walking speed. This path contains nodes involved in protein phosphorylation, glial cell differentiation, and regulation of stress-activated MAPK cascade, among others. Specific paths identified were subsequently analyzed by flow cytometry at the single-cell level. Combinations of several proteins (GSK3AB, HSBP1 or RS6) and immune cells (Th17, Th1 non-classic, CD8, CD8 Treg, CD56 neg, and B memory) were part of the paths explaining the clinical phenotype. The advantage of the path identified from the Boolean simulations is that it connects information about these known biological pathways with the layers at higher scales (retina damage and disability). Overall, the identified paths provide a means to connect the molecular aspects of MS with the overall phenotype., Competing Interests: We have read the journal’s policy and the authors of this manuscript have the following competing interests: KK reports no disclosures. NKdR reports no disclosures. AU received grants and contracts from FISM, Novartis, Biogen, Merck, Fondazione Cariplo, Italian Ministry of Health, received honoraria, or consultation fees from Biogen, Roche, Teva, Merck, Genzyme, Novartis. FI reports no disclosures. MC reports no disclosures. HFH has received honoraria for lecturing or advice from Biogen, Merck, Roche, Novartis and Sanofi. TB has received unrestricted research grants from Biogen and Sanofi-Genzyme. SDB reports no disclosures. EH received honoraria for lecturing and advisory board activity from Biogen, Merck and Sanofi-Genzyme and unrestricted research grant from Merck. SBI reports no disclosures. SAdRB reports no disclosures. FP received honoraria and research support from Alexion, Bayer, Biogen, Chugai, Merck Serono, Novartis, Genzyme, MedImmune, Shire, Teva, and serves on scientific advisory boards for Alexion, MedImmune, and Novartis. He has received funding from Deutsche Forschungsgemeinschaft (DFG Exc 257), Bundesministerium fu?r Bildung und Forschung (Competence Network Multiple Sclerosis), Guthy Jackson Charitable Foundation, EU Framework Program 7, National Multiple Sclerosis Society of the USA. AUB is named as inventor on multiple patents and patents pending owned by Charité - Universitätsmedizin Berlin and/or University of California Irvine for visual computing-based motor function analysis, multiple sclerosis serum biomarkers, and retinal image analysis. He is cofounder and holds shares of Motognosis GmbH and Nocturne GmbH. He serves on the executive board and is Treasurer/Secretary of IMSVISUAL. He received research support from BMWi, BMBF, NIH ICTS, the Kathleen C. Moore Foundation and the Guthy- Jackson Charitable Foundation. Priscilla Ba?cker-Koduah is funded by the DFG Excellence grant to FP (DFG exc 257) and is a Junior scholar of the Einstein Foundation. CC received honoraria for speaking from Bayer and research funding from Novartis, unrelated to this study. SA received a conference grant from Celgene and honoraria for speaking from Alexion, Bayer and Roche. JB reports no disclosures. JSR declares funding from GSK & Sanofi and fees from Travere Therapeutics & Singularity Bio. MR reports no disclosures. LGA is founder and hold stocks at ProtATonce. MA is an employee of Hoffman-La Roche AG, yet this article is related to his activity at the Hospital Clinic of Barcelona. EHML is an employee of the European Medicines Agency (Human Medicines) since 16 April 2019, yet this article is related to her activity at the Hospital Clinic of Barcelona and consequently, it does not in any way represent the views of the Agency or its Committees. SL received compensation for consulting services and speaker honoraria from Biogen Idec, Novartis, TEVA, Genzyme, Sanofi and Merck. AS received compensation for consulting services and speaker honoraria from Bayer-Schering, Merck- Serono, Biogen-Idec, Sanofi-Aventis, TEVA, Novartis and Roche. EMH reports no disclosures. Elisabeth Solana received travel reimbursement from Sanofi and ECTRIMS and reports personal fees from Roche Spain. IPV is currently an employee of UCB pharma, yet this article is related to her activity at the Hospital Clinic of Barcelona. She has received travel reimbursement from Roche Spain and Genzyme-Sanofi, European Academy of Neurology, and European Committee for Treatment and Research in Multiple Sclerosis for international and national meetings over the last 3 years; she holds a patent for an affordable eye-tracking system to measure eye movement in neurologic diseases, and she holds stock in Aura Innovative Robotics. JGO reports no disclosures. PV has received consultancy fees and held stocks from Accure Therapeutics SL, Attune Neurosciences Inc, Spiral Therapeutics Inc, QMenta Inc, CLight Inc, NeuroPrex Inc, StimuSIL and Adhera Health Inc, (Copyright: © 2024 Kennedy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Although apathy has been associated with fronto-striatal dysfunction in several neurological disorders, its clinical and magnetic resonance imaging (MRI) correlates have been poorly investigated in people with multiple sclerosis (PwMS)., Objectives: To evaluate clinical variables and investigate microstructural integrity of fronto-striatal grey matter (GM) and white matter (WM) structures using diffusion tensor imaging (DTI)., Methods: A total of 123 PwMS (age: 40.25 ± 11.5; female: 60.9%; relapsing-remitting multiple sclerosis: 75.6%) were prospectively enrolled and underwent neurological and neuropsychological evaluation, including Expanded Disability Status Scale (EDSS), Apathy Evaluation Scale (AES-S), Hospital Anxiety and Depression Scale (HADS), Modified Fatigue Impact Scale (MFIS) and brain 3T-MRI volumes of whole brain, frontal/prefrontal cortex (PFC) and subcortical regions were calculated. DTI-derived metrics were evaluated in the same GM regions and in connecting WM tracts., Results: Apathetic PwMS (32.5%) showed lower education levels, higher HADS, MFIS scores and WM lesions volume than nonapathetic PwMS. Significant differences in DTI metrics were found in middle frontal, anterior cingulate and superior frontal PFC subregions and in caudate nuclei. Significant alterations were found in the right cingulum and left striatal-frontorbital tracts., Conclusions: Apathy in PwMS is associated with higher levels of physical disability, depression, anxiety and fatigue together with lower educational backgrounds. Microstructural damage within frontal cortex, caudate and fronto-striatal WM bundles is a significant pathological substrate of apathy in multiple sclerosis (MS)., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: M.I. received grants from NIH, NMSS and FISM; received fees for consultation from BMS; Janssen, Roche, Genzyme, Merck, Biogen and Novartis. M.C. received personal compensations from Novartis, Sanofi Genzyme and Teva and consulting fees from Zambon. G.B. was supported by a research fellowship FISM – Fondazione Italiana Sclerosi Multipla 2019/BR/016 and financed or co-financed with the ‘5 per mille’ public funding. He received personal fee from Novartis and Roche. C.L. received personal fee from Novartis, Roche, Sanofi, BMS and Janssen. All other authors declare no competing interests.

The vaccination with live attenuated vaccines is generally not recommended during natalizumab (NTZ), as it is included among immunosuppressive/immunomodulating therapies. Nevertheless, considering the lack of evidence of a non-Central Nervous System (CNS) immunosuppressive effect of NTZ, after a risk/benefit evaluation, we decided to vaccinate four multiple sclerosis (MS) patients (three with an indication to switch to ocrelizumab for high-risk Progressive Multifocal Leukoencephalopathy (PML) and one for pregnancy planning). No vaccine-related adverse events of any type nor varicella zoster virus (VZV) infections were observed. To the best of our knowledge, these case series represent the first description of the good safety profile of anti-VZV vaccination in MS patients during NTZ treatment., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objectives: Recent studies supported coagulation involvement in multiple sclerosis, an inflammatory-demyelinating and degenerative disease of the central nervous system. The main objectives of this observational study were to identify the most specific pro-coagulative/vascular factors for multiple sclerosis pathogenesis and to correlate them with brain hemodynamic abnormalities., Methods: We compared i) serum/plasma levels of complement(C)/coagulation/vascular factors, viral/microbiological assays, fat-soluble vitamins and lymphocyte count among people with multiple sclerosis sampled in a clinical remission ( n =30; 23F/7M, 40 ± 8.14 years) or a relapse ( n =30; 24F/6M, age 41 ± 10.74 years) and age/sex-matched controls ( n =30; 23F/7M, 40 ± 8.38 years); ii) brain hemodynamic metrics at dynamic susceptibility contrast-enhanced 3T-MRI during relapse and remission, and iii) laboratory data with MRI perfusion metrics and clinical features of people with multiple sclerosis. Two models by Partial Least Squares Discriminant Analysis were performed using two groups as input: (1) multiple sclerosis vs. controls, and (2) relapsing vs. remitting multiple sclerosis., Results: Compared to controls, multiple sclerosis patients had a higher Body-Mass-Index, Protein-C and activated-C9; and a lower activated-C4. Levels of Tissue-Factor, Tie-2 and P-Selectin/CD62P were lower in relapse compared to remission and HC, whereas Angiopoietin-I was higher in relapsing vs. remitting multiple sclerosis. A lower number of total lymphocytes was found in relapsing multiple sclerosis vs. remitting multiple sclerosis and controls. Cerebral-Blood-Volume was lower in normal-appearing white matter and left caudatum while Cerebral-Blood-Flow was inferior in bilateral putamen in relapsing versus remitting multiple sclerosis. The mean-transit-time of gadolinium-enhancing lesions negatively correlated with Tissue-Factor. The top-5 discriminating variables for model (1) were: EBV-EBNA-1 IgG, Body-Mass-Index, Protein-C, activated-C4 and Tissue-Factor whereas for model (2) were: Tissue-Factor, Angiopoietin-I, MCHC, Vitamin A and T-CD3., Conclusion: Tissue-factor was one of the top-5 variables in the models discriminating either multiple sclerosis from controls or multiple sclerosis relapse from remission and correlated with mean-transit-time of gadolinium-enhancing lesions. Tissue-factor appears a promising pro-coagulative/vascular biomarker and a possible therapeutic target in relapsing-remitting multiple sclerosis., Clinical Trial Registration: ClinicalTrials.gov, identifier NCT04380220., Competing Interests: TK: received grant from Italian Ministry of Health. MC: received consulting fees from Zambon, support for attending meetings/travel from Janssen. MF: received part of grant from Italian Ministry of Health. MM: received honoraria for presentation/manuscript writing and support for attending meetings/travel from EISAI. MS: received grant from FISM; speaking honoraria from Merck, Sanofi, Novartis, Roche, Viatris, Biogen, BMS; support for patents IT 1417523 and EP2981625. MI: received consulting fees from Biogen, Novartis Merck, Sanofi, Roche, BMS, Janssen; received honoraria for presentation from Biogen, Novartis Merck, Sanofi, Roche, BMS, Janssen. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Koudriavtseva, Lorenzano, Cellerino, Truglio, Fiorelli, Lapucci, D’Agosto, Conti, Stefanile, Zannino, Filippi, Cortese, Piantadosi, Maschio, Maialetti, Galiè, Salvetti and Inglese.)

Introduction: The subventricular zone (SVZ) represents one of the main adult brain neurogenesis niche. In-vivo imaging of SVZ is very challenging and little is known about MRI correlates of SVZ macro- and micro-structural injury in multiple sclerosis (MS) patients., Methods: The aim of the present study is to evaluate differences in terms of volume and microstructural changes [as assessed with the novel Spherical Mean Technique (SMT) model, evaluating: Neurite Signal fraction (INTRA); Extra-neurite transverse (EXTRATRANS) and mean diffusivity (EXTRAMD)] in SVZ between relapsing-remitting (RR) or progressive (P) MS patients and healthy controls (HC). We are also going to explore whether SVZ microstructural injury correlate with caudate (a nucleus that is in the vicinity of the SVZ) or thalamus (another well-defined grey matter area which is further from SVZ than caudate) volume and clinical disability. Clinical and brain MRI data were prospectively acquired from 20 HC, 101 RRMS, and 50 PMS patients. Structural and diffusion metrics inside the global SVZ, normal appearing (NA-) SVZ, caudate and thalamus were collected., Results: We found a statistically significant difference between groups in terms of NA-SVZ EXTRAMD (PMS>RRMS>HC; p  = 0.002), EXTRATRANS (PMS>RRMS>HC; p<0.0001), and INTRA (HC>RRMS>PMS; p  = 0.009). Multivariable models showed that NA-SVZ metrics significantly predicted caudate ( R 2  = 0.21, p  < 0.0001), but not thalamus, atrophy. A statistically significant correlation between EXTRAMD and EXTRATRANS of the NA-SVZ and EDSS ( r =0.25, p =0.003 and r =0.24, p  = 0.003, respectively) was found. These findings were confirmed in analyses restricted to RRMS, but not to PMS patients., Discussion: In conclusion, the microstructural damage we observed within the NA-SVZ of MS patients - reflecting higher free water content (higher EXTRAMD), cytoarchitecture disruption and astrogliosis (higher EXTRATRANS and lower INTRA) - was more evident in the progressive as compared to the relapsing phases of MS. These abnormalities were significantly associated with a more pronounced caudate atrophy and higher clinical disability scores. Our findings may support the neuroprotective role of SVZ in MS patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer GP declared a past co-authorship with the authors SS and MI to the handling editor., (Copyright © 2023 Cellerino, Schiavi, Lapucci, Sbragia, Boffa, Rolla-Bigliani, Tonelli, Boccia, Bruschi, Tazza, Franciotta and Inglese.)

Introduction: The Central Vein Sign (CVS) has been suggested as a potential biomarker to improve diagnostic specificity in multiple sclerosis (MS). Nevertheless, the impact of comorbidities on CVS performance has been poorly investigated so far. Despite the similar features shared by MS, migraine and Small Vessel Disease (SVD) at T2-weighted conventional MRI sequences, ex-vivo studies demonstrated their heterogeneous histopathological substrates. If in MS, inflammation, primitive demyelination and axonal loss coexist, in SVD demyelination is secondary to ischemic microangiopathy, while the contemporary presence of inflammatory and ischemic processes has been suggested in migraine. The aims of this study were to investigate the impact of comorbidities (risk factors for SVD and migraine) on the global and subregional assessment of the CVS in a large cohort of MS patients and to apply the Spherical Mean Technique (SMT) diffusion model to evaluate whether perivenular and non-perivenular lesions show distinctive microstructural features., Methods: 120 MS patients stratified into 4 Age Groups performed 3T brain MRI. WM lesions were classified in "perivenular" and "non-perivenular" by visual inspection of FLAIR * images; mean values of SMT metrics, indirect estimators of inflammation, demyelination and fiber disruption (EXTRAMD: extraneurite mean diffusivity, EXTRATRANS: extraneurite transverse diffusivity and INTRA: intraneurite signal fraction, respectively) were extracted., Results: Of the 5303 lesions selected for the CVS assessment, 68.7% were perivenular. Significant differences were found between perivenular and non-perivenular lesion volume in the whole brain ( p < 0.001) and between perivenular and non-perivenular lesion volume and number in all the four subregions ( p < 0.001 for all). The percentage of perivenular lesions decreased from youngest to oldest patients (79.7%-57.7%), with the deep/subcortical WM of oldest patients as the only subregion where the number of non-perivenular was higher than the number of perivenular lesions. Older age and migraine were independent predictors of a higher percentage of non-perivenular lesions ( p < 0.001 and p = 0.013 respectively). Whole brain perivenular lesions showed higher inflammation, demyelination and fiber disruption than non perivenular lesions ( p = 0.001, p = 0.001 and p = 0.02 for EXTRAMD, EXTRATRANS and INTRA respectively). Similar findings were found in the deep/subcortical WM ( p = 0.001 for all). Compared to non-perivenular lesions, (i) perivenular lesions located in periventricular areas showed a more severe fiber disruption ( p = 0.001), (ii) perivenular lesions located in juxtacortical and infratentorial regions exhibited a higher degree of inflammation ( p = 0.01 and p = 0.05 respectively) and (iii) perivenular lesions located in infratentorial areas showed a higher degree of demyelination ( p = 0.04)., Discussion: Age and migraine have a relevant impact in reducing the percentage of perivenular lesions, particularly in the deep/subcortical WM. SMT may differentiate perivenular lesions, characterized by higher inflammation, demyelination and fiber disruption, from non perivenular lesions, where these pathological processes seemed to be less pronounced. The development of new non-perivenular lesions, especially in the deep/subcortical WM of older patients, should be considered a "red flag" for a different -other than MS- pathophysiology., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor AL declared a past co-authorship with the author MI., (Copyright © 2023 Lapucci, Tazza, Rebella, Boffa, Sbragia, Bruschi, Mancuso, Mavilio, Signori, Roccatagliata, Cellerino, Schiavi and Inglese.)

The central vein sign (CVS) has been proposed as a biomarker of multiple sclerosis (MS). In adult-onset MS (AOMS), 40%-threshold of CVS positive (+) lesions demonstrated high accuracy for MS diagnosis. However, CVS+ lesions' performance has not been characterized in paediatric-onset (POMS) yet. We compared the CVS contribution to MS diagnosis in 10 POMS and 12 disease-duration-matched AOMS patients. Three POMS patients did not meet the 40%-threshold, while all AOMS patients were correctly diagnosed as having MS. The high proportion of periventricular confluent lesions, excluded from the CVS assessment, seemed to impair CVS sensitivity in POMS diagnosis.

Vaccines prevent infections in patients with multiple sclerosis (MS). Though recommendations regarding vaccinating patients with MS have been recently published, real-world data regarding vaccines' planning in patients receiving disease-modifying drugs (DMDs) for MS are missing. Our aim was, therefore, to describe vaccination coverage rates, timing-proposal and safety in real-life vaccinating patients with MS undergoing DMDs before the start of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination campaign. Patients followed at our MS-center were referred to individualized immunization-programs customized to Italian recommendations, patients' risks, immunity to exanthematic diseases, ongoing DMDs, or therapy-start urgency. Disease-activity stated the need for an essential immunization-cycle, whose core was composed by four vaccines: meningococcal-B, pneumococcal conjugated, Haemophilus influenzae B, and meningococcal-ACWY vaccines. Vaccines were administered prior to the planned DMD-start when possible, inactivated-vaccines >2 weeks and live-vaccines >4 weeks before treatment-start. Patients received a 6-months clinical-/radiological-follow-up after immunization. One-hundred and ninety-five patients were vaccinated between April 2017 and January 2021. 124/195 (63.6%) started a vaccination-program before therapy-start/-switch and 108/124 (87.1%) effectively completed immunization before new therapy-start without any delay. The time needed for immunization-conclusion reached a median of 27 (confidence interval 22) days in 2020. No increase in clinical-/radiological-activity 3-/6-months after immunization was noted. In conclusion, our study confirmed feasibility and safety of a vaccination-protocol in patients with MS whose duration resulted in a median of 27 days.