Topical review: Lactation and use of DMTs in women with MS.

One in three females with multiple sclerosis (MS) becomes pregnant after diagnosis. In the postpartum period, there is a risk of rebound inflammatory activity. This risk can likely be reduced with breastfeeding, as well as with early initiation of effective therapies that have low therapeutic lag. To guide patients in their choices surrounding breastfeeding and MS therapies, clinicians must be familiar with how best to protect against relapses, to ensure infant safety, and to support breastfeeding choices. This topical review provides a broad framework on lactation in women with MS. It seeks to reframe guidelines around caring for the maternal-infant dyad, and for diverse populations living with MS. It also provides updated data on the effects of lactation in women with MS and the limited data on transfer of disease-modifying therapies (DMTs) into breastmilk. The ultimate goal is to support informed shared decision-making between clinicians and patients regarding breastfeeding during the high-risk postpartum period.

The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study.

BACKGROUND: Previous studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity. METHODS: Data were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and age at onset, symptom of onset and a variety of participant-reported severity measures. We used adjusted multivariable linear regression models to explore the association between ethnicity and impact of MS, and Cox proportional hazards models to assess disability progression. RESULTS: We analysed data from 17,314 people with MS, including participants from self-reported Black (n = 157) or South Asian (n = 230) ethnic backgrounds. Age at MS onset and diagnosis was lower in those of South Asian (median 30.0) and Black (median 33.0) ethnicity compared with White ethnicity (median 35.0). In participants with online MS severity measures available, we found no statistically significant evidence for an association between ethnic background and physical disability in MS in both cross-sectional and longitudinal analyses. CONCLUSION: We found no association between ethnic background and MS severity in a large, diverse UK cohort. These findings suggest that other factors, such as socioeconomic status and structural inequalities, may explain previous findings.

Expert opinion on the use of contraception in people with multiple sclerosis.

BACKGROUND: Current guidance on the selection of appropriate contraception for people with multiple sclerosis (PwMS) is lacking. OBJECTIVE: To address this gap, an expert-led consensus program developed recommendations to support clinicians in discussing family planning and contraception with women and men with multiple sclerosis (MS). METHODS: A multidisciplinary steering committee (SC) of 13 international clinical experts led the program, supported by an extended faculty of 32 experts representing 18 countries. A modified Delphi methodology was used for decision-making and consensus-building. The SC drafted 15 clinical questions focused on patient-centered care, selection of contraception, and timing of stopping/starting contraception and disease-modifying therapies (DMTs). Statements addressing each question were drafted based on evaluation of published evidence and the experts' clinical experience. Consensus was reached if ⩾75% of respondents agreed (scoring 7-9 on a 9-point scale) with each recommendation. RESULTS: Consensus was reached on 24 of 25 proposed recommendations, including how and when to discuss contraception, types and safety of contraceptives, and how to evaluate the most appropriate contraceptive options for specific patient groups, including those with significant disability or being treated with DMTs. CONCLUSION: These expert recommendations provide the first practical, relevant, and comprehensive guidance for clinicians on the selection of contraception in PwMS.

Hormonal Therapies in Multiple Sclerosis: a Review of Clinical Data.

PURPOSE OF REVIEW: Given the potential for exogenous hormones to influence risk and course of MS, this narrative review aims to summarize current knowledge from observational and interventional studies of exogenous hormones in humans with MS. RECENT FINDINGS: Large randomized clinical trials for combined oral contraceptives and estriol both show modest effect on inflammatory activity, with the latter showing potential neuroprotective effect. After fertility treatment, large actively treated cohorts have not confirmed any elevated risk of relapse. Preclinical data suggest that androgens, selective estrogen receptor modulators (SERMs), and selective androgen receptor modulators (SARMs) may be neuroprotective but clinical data are lacking. Gender affirming treatment, particularly estrogen in trans-women, could possibly be associated with elevated risk of inflammation. For women with MS entering menopause, hormone therapy appears safe during the appropriate menopausal window, but its long-term effects on neuroprotection are unknown. Exogenous hormones, used in varied doses and for diverse indications, have variable effects on MS risk, inflammatory activity, and neuroprotection. Large randomized trials are needed before it is possible to determine the true effect of exogenous hormones in a condition as complex as MS.

Challenges in the Clinical Recognition of Acute Flaccid Myelitis and its Implications.

OBJECTIVES: To explore the challenges in diagnosing acute flaccid myelitis (AFM) and evaluate clinical features and treatment paradigms associated with under recognition. STUDY DESIGN: This was a retrospective multicenter study of pediatric patients (≤18 years) who were diagnosed with AFM from 2014 to 2018 using the Centers for Disease Control and Prevention's case definition. RESULTS: In 72% of the cases (126 of 175), AFM was not considered in the initial differential diagnosis (n = 108; 61.7%) and/or the patient was not referred for acute care (n = 90; 51.4%) at the initial clinical encounter, and this did not improve over time. Although many features of the presentation were similar in those initially diagnosed with AFM and those who were not; preceding illness, constipation, and reflexes differed significantly between the 2 groups. Patients with a non-AFM initial diagnosis more often required ventilatory support (26.2% vs 12.2%; OR, 0.4; 95% CI, 0.2-1.0; P = .05). These patients received immunomodulatory treatment later (3 days vs 2 days after neurologic symptom onset; 95% CI, -2 to 0; P = .05), particularly intravenous immunoglobulin (5 days vs 2 days; 95% CI, -4 to -2; P < .001). CONCLUSIONS: Delayed recognition of AFM is concerning because of the risk for respiratory decompensation and need for intensive care monitoring. A non-AFM initial diagnosis was associated with delayed treatment that could have a clinical impact, particularly as new treatment options emerge.

Spinal Cord Atrophy Predicts Progressive Disease in Relapsing Multiple Sclerosis.

OBJECTIVE: A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS). METHODS: From a single-center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12-year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion. RESULTS: Patients who developed SPMS showed faster cord atrophy rates (-2.19%/yr) at least 4 years before conversion compared to their RRMS matches (-0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (-1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (-1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively. INTERPRETATION: Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268-281.

Low protection from breakthrough SARS-CoV-2 infection and mild disease course in ocrelizumab-treated patients with multiple sclerosis after three mRNA vaccine doses.

BACKGROUND: Our study investigated the rate of breakthrough SARS-CoV-2 infection and clinical outcomes in a cohort of multiple sclerosis (MS) patients who were treated with the anti-CD20 monoclonal antibody (Ab), ocrelizumab, before first, second and third BNT162b2 mRNA vaccinations. To correlate clinical outcomes with the humoral and cellular response. METHODS: The study was a prospective non-randomised controlled multicentre trial observational study. Participants with a diagnosis of MS who were treated for at least 12 months with ocrelizumab prior to the first BNT162b2 mRNA vaccination were prospectively followed up from January 2021 to June 2022. RESULTS: Out of 54 participants, 32 (59.3%) developed a positive SARS-CoV-2 PCR test in the study period. Mild infection was observed in all infected participants. After the third vaccination, the non-infected participants had higher mean Ab levels compared to the infected participants (54.3 binding antibody unit (BAU)/mL vs 26.5 BAU/mL, p=0.030). The difference in reactivity between spike-specific CD4+ and CD8+ T lymphocytes in the two groups was not significant. CONCLUSION AND RELEVANCE: The study results demonstrate rates of 59% in breakthrough infections after the third SARS-CoV-2 mRNA vaccination in ocrelizumab-treated patients with MS, without resulting in critical disease courses. These findings suggest the need for continuous development of prophylactic treatments when proved important in the protection of severe breakthrough infection.

Clinical course of multiple sclerosis and patient experiences during breast cancer treatment.

BACKGROUND: Over one-third of multiple sclerosis (MS) patients are post-menopausal women, the primary demographic affected by breast cancer. After breast cancer diagnosis, there is little information about patients' clinical experiences with both diseases. OBJECTIVE: Utilize a case series of MS patients diagnosed with breast cancer to characterize oncologic and MS trajectories, and generate novel insights about clinical considerations using qualitative analysis. METHODS: A single-center retrospective review was performed on medical record data of patients with MS and breast cancer. Thematic analysis was used to characterize experiences with the concurrent diagnoses. RESULTS: For the 43 patients identified, mean age was 56.7 years at cancer diagnosis and MS duration was 16.5 years. Approximately half were treated with MS disease modifying therapy at cancer diagnosis, and half of these subsequently discontinued or changed therapy. Altogether 14% experienced MS relapse(s) during follow-up (with 2 relapses in the first 2 years), with mean annualized relapse rate of 0.03. Cohort Expanded Disability Status Scale (EDSS) scores remained stable during follow-up. Qualitative insights unique to this population were identified regarding immunosuppression use and neurologic symptoms. CONCLUSIONS: MS relapses were infrequent, and there was modest progression during breast cancer treatment. Oncologic outcomes were comparable to non-MS patients with similarly staged cancer.

Characteristics of multiple sclerosis and demyelinating disease in an Asian American population.

BACKGROUND: Race and ancestry influence the course of multiple sclerosis (MS). OBJECTIVES: Explore clinical characteristics of MS and neuromyelitis optica spectrum disorder (NMOSD) in Asian American patients. METHODS: Chart review was performed for 282 adults with demyelinating disease who self-identified as Asian at a single North American MS center. Demographics and clinical characteristics were compared to non-Asian MS patients and by region of Asian ancestry. RESULTS: Region of ancestry was known for 181 patients. Most (94.7%) preferred English, but fewer East Asian patients did (80%, p = 0.0001). South Asian patients had higher neighborhood household income (p = 0.002). Diagnoses included MS (76.2%) and NMOSD (13.8%). More patients with NMOSD than MS were East and Southeast Asian (p = 0.004). For MS patients, optic nerve and spinal cord involvement were similar across regions of ancestry. Asian MS patients were younger at symptom onset and diagnosis than non-Asian MS patients. MS Severity Scale scores were similar to non-Asian MS patients but worse among Southeast Asians (p = 0.006). CONCLUSIONS: MS severity was similar between Asian American patients and non-Asian patients. Region of ancestry was associated with differences in sociodemographics and MS severity. Further research is needed to uncover genetic, socioeconomic, or environmental factors causing these differences.

Well-being at midlife: Correlates of mental health in ambulatory menopausal women with multiple sclerosis.

BACKGROUND: A majority of women with multiple sclerosis (MS) are diagnosed prior to menopause, yet their experiences during this transition are not well characterized. OBJECTIVES: To explore associations between mental health, sleep, and other quality of life metrics, and vasomotor symptoms (VMSs) in ambulatory, menopausal women with MS. METHODS: A secondary analysis was performed of baseline data from two trials enrolling ambulatory peri/postmenopausal women with MS: NCT02710214 (N = 24, bothersome VMS) and NCT04002934 (ongoing, N = 35, myelin repair). Measures analyzed were 36-Item Short-Form Survey (SF-36) (primary scale: general mental health), subjective sleep quality (Pittsburg Sleep Quality Index), VMS (daily diary, interference), mood (Center for Epidemiologist Studies-Depression Scale (CES-D)), walking impairment (timed 25-foot walk (T25FW)), and global disability (Expanded Disability Status Scale (EDSS)). RESULTS: Participants' characteristics (N = 59) were: mean age 51.8 years (SD = 3.4), mean disease duration 11.3 years (SD = 7.6), median EDSS 3.0 (IQR = 2.0-4.0). Mental health was associated with better sleep quality (rho = -0.41, p = 0.019) and better mood (rho = -0.75, p < 0.001), but not with EDSS or T25FW (rho < 0.20, p > 0.10). Worse sleep quality also correlated with more frequent VMS (rho = 0.41, p = 0.02) and VMS interference (rho = 0.59, p < 0.001). CONCLUSIONS: Findings suggest that optimizing sleep quality, mood, and hot flash quantity/interference could substantially improve mental health in menopausal women with MS-and highlight an important care gap in this population.

Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis.

BACKGROUND: Remote activity monitoring has the potential to evaluate real-world, motor function, and disability at home. The relationships of daily physical activity with spinal cord white matter and gray matter (GM) areas, multiple sclerosis (MS) disability and leg function, are unknown. OBJECTIVE: Evaluate the association of structural central nervous system pathology with ambulatory disability. METHODS: Fifty adults with progressive or relapsing MS with motor disability who could walk >2 minutes were assessed using clinician-evaluated, patient-reported outcomes, and quantitative brain and spinal cord magnetic resonance imaging (MRI) measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 days. Univariate and multivariate analyses were performed to assess correlations between physical activity and other disability metrics. RESULTS: Mean age was 53.3 years and median Expanded Disability Status Scale (EDSS) was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures. Greater STEPS were significantly correlated with greater C2-C3 spinal cord GM areas (ρ = 0.39, p = 0.04), total cord area (TCA; ρ = 0.35, p = 0.04), and cortical GM volume (ρ = 0.32, p = 0.04). CONCLUSION: These results provide preliminary evidence that spinal cord GM area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology.

A pathogenic and clonally expanded B cell transcriptome in active multiple sclerosis.

Central nervous system B cells have several potential roles in multiple sclerosis (MS): secretors of proinflammatory cytokines and chemokines, presenters of autoantigens to T cells, producers of pathogenic antibodies, and reservoirs for viruses that trigger demyelination. To interrogate these roles, single-cell RNA sequencing (scRNA-Seq) was performed on paired cerebrospinal fluid (CSF) and blood from subjects with relapsing-remitting MS (RRMS; n = 12), other neurologic diseases (ONDs; n = 1), and healthy controls (HCs; n = 3). Single-cell immunoglobulin sequencing (scIg-Seq) was performed on a subset of these subjects and additional RRMS (n = 4), clinically isolated syndrome (n = 2), and OND (n = 2) subjects. Further, paired CSF and blood B cell subsets (RRMS; n = 7) were isolated using fluorescence activated cell sorting for bulk RNA sequencing (RNA-Seq). Independent analyses across technologies demonstrated that nuclear factor kappa B (NF-κB) and cholesterol biosynthesis pathways were activated, and specific cytokine and chemokine receptors were up-regulated in CSF memory B cells. Further, SMAD/TGF-ß1 signaling was down-regulated in CSF plasmablasts/plasma cells. Clonally expanded, somatically hypermutated IgM+ and IgG1+ CSF B cells were associated with inflammation, blood-brain barrier breakdown, and intrathecal Ig synthesis. While we identified memory B cells and plasmablast/plasma cells with highly similar Ig heavy-chain sequences across MS subjects, similarities were also identified with ONDs and HCs. No viral transcripts, including from Epstein-Barr virus, were detected. Our findings support the hypothesis that in MS, CSF B cells are driven to an inflammatory and clonally expanded memory and plasmablast/plasma cell phenotype.

Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.

Automated quantification of data acquired as part of an MRI exam requires identification of the specific acquisition of relevance to a particular analysis. This motivates the development of methods capable of reliably classifying MRI acquisitions according to their nominal contrast type, e.g., T1 weighted, T1 post-contrast, T2 weighted, T2-weighted FLAIR, proton-density weighted. Prior studies have investigated using imaging-based methods and DICOM metadata-based methods with success on cohorts of patients acquired as part of a clinical trial. This study compares the performance of these methods on heterogeneous clinical datasets acquired with many different scanners from many institutions. RF and CNN models were trained on metadata and pixel data, respectively. A combined RF model incorporated CNN logits from the pixel-based model together with metadata. Four cohorts were used for model development and evaluation: MS research (n = 11,106 series), MS clinical (n = 3244 series), glioma research (n = 612 series, test/validation only), and ADNI PTSD (n = 477 series, training only). Together, these cohorts represent a broad range of acquisition contexts (scanners, sequences, institutions) and subject pathologies. Pixel-based CNN and combined models achieved accuracies between 97 and 98% on the clinical MS cohort. Validation/test accuracies with the glioma cohort were 99.7% (metadata only) and 98.4 (CNN). Accurate and generalizable classification of MRI acquisition contrast types was demonstrated. Such methods are important for enabling automated data selection in high-throughput and big-data image analysis applications.

Acute flaccid myelitis: cause, diagnosis, and management.

Acute flaccid myelitis (AFM) is a disabling, polio-like illness mainly affecting children. Outbreaks of AFM have occurred across multiple global regions since 2012, and the disease appears to be caused by non-polio enterovirus infection, posing a major public health challenge. The clinical presentation of flaccid and often profound muscle weakness (which can invoke respiratory failure and other critical complications) can mimic several other acute neurological illnesses. There is no single sensitive and specific test for AFM, and the diagnosis relies on identification of several important clinical, neuroimaging, and cerebrospinal fluid characteristics. Following the acute phase of AFM, patients typically have substantial residual disability and unique long-term rehabilitation needs. In this Review we describe the epidemiology, clinical features, course, and outcomes of AFM to help to guide diagnosis, management, and rehabilitation. Future research directions include further studies evaluating host and pathogen factors, including investigations into genetic, viral, and immunological features of affected patients, host-virus interactions, and investigations of targeted therapeutic approaches to improve the long-term outcomes in this population.

Nocturnal Hypoventilation as a Respiratory Complication of Acute Flaccid Myelitis.

Detailed accounts of long-term respiratory complications among children with acute flaccid myelitis have not been reported systematically. We describe respiratory complications and outcomes in a single-center cohort of 19 children with acute flaccid myelitis. Significantly, 3 of the 19 children had a prolonged course of nocturnal hypoventilation that required intervention.

Risk factors for peripartum depression in women with multiple sclerosis.

BACKGROUND: Peripartum depression (PPD) is underexplored in multiple sclerosis (MS). OBJECTIVE: To evaluate prevalence of and risk factors for PPD in women with MS. METHODS: Retrospective single-center analysis of women with MS with a live birth. Prevalence of PPD was estimated with logistic regression with generalized estimating equations (GEE). GEE evaluated predictors of PPD (e.g. age, marital status, parity, pre-pregnancy depression/anxiety, antidepressant discontinuation, sleep disturbance, breastfeeding, relapses, gadolinium-enhancing lesions, and disability). Factors significant in univariable analyses were included in multivariable analysis. RESULTS: We identified 143 live births in 111 women (mean age 33.1 ± 4.7 years). PPD was found in 18/143 pregnancies (12.6%, 95% CI = 7.3-17.8). Factors associated with PPD included older age (OR 1.16, 95% CI = 1.03-1.32 for 1-year increase), primiparity (OR 4.02, CI = 1.14-14.23), pre-pregnancy depression (OR 3.70, CI = 1.27-10.01), sleep disturbance (OR 3.23, CI = 1.17-8.91), and breastfeeding difficulty (OR 3.58, CI = 1.27-10.08). Maternal age (OR 1.17, CI = 1.02-1.34), primiparity (OR 8.10, CI = 1.38-47.40), and pre-pregnancy depression (OR 3.89, CI = 1.04-14.60) remained significant in multivariable analyses. Relapses, MRI activity, and disability were not associated with PPD. CONCLUSION: The prevalence of PPD in MS appeared similar to the general population, but was likely underestimated due to lack of screening. PPD can affect MS self-management and offspring development, and prospective studies are needed.

Building a Precision Medicine Delivery Platform for Clinics: The University of California, San Francisco, BRIDGE Experience.

Despite an ever-expanding number of analytics with the potential to impact clinical care, the field currently lacks point-of-care technological tools that allow clinicians to efficiently select disease-relevant data about their patients, algorithmically derive clinical indices (eg, risk scores), and view these data in straightforward graphical formats to inform real-time clinical decisions. Thus far, solutions to this problem have relied on either bottom-up approaches that are limited to a single clinic or generic top-down approaches that do not address clinical users' specific setting-relevant or disease-relevant needs. As a road map for developing similar platforms, we describe our experience with building a custom but institution-wide platform that enables economies of time, cost, and expertise. The BRIDGE platform was designed to be modular and scalable and was customized to data types relevant to given clinical contexts within a major university medical center. The development process occurred by using a series of human-centered design phases with extensive, consistent stakeholder input. This institution-wide approach yielded a unified, carefully regulated, cross-specialty clinical research platform that can be launched during a patient's electronic health record encounter. The platform pulls clinical data from the electronic health record (Epic; Epic Systems) as well as other clinical and research sources in real time; analyzes the combined data to derive clinical indices; and displays them in simple, clinician-designed visual formats specific to each disorder and clinic. By integrating an application into the clinical workflow and allowing clinicians to access data sources that would otherwise be cumbersome to assemble, view, and manipulate, institution-wide platforms represent an alternative approach to achieving the vision of true personalized medicine.

A biomedical open knowledge network harnesses the power of AI to understand deep human biology.

Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to enable computers to solve complex problems with AI methods. However, its application to biomedicine has been lagging in part due to the daunting complexity of molecular and cellular pathways that govern human physiology and pathology. In this article we describe concrete uses of SPOKE, an open knowledge network that connects curated information from 37 specialized and human-curated databases into a single property graph, with 3 million nodes and 15 million edges to date. Applications discussed in this article include drug discovery, COVID-19 research and chronic disease diagnosis and management.

A novel in-home digital treatment to improve processing speed in people with multiple sclerosis: A pilot study.

OBJECTIVE: To assess whether a videogame-like digital treatment is superior to a control in improving processing speed in adults with multiple sclerosis (MS). METHODS: Adults with MS and baseline Symbol Digit Modalities Test (SDMT) z-scores between -2 and 0 were enrolled in a double-blind randomized controlled clinical trial. After completing a baseline in-clinic evaluation (Visit 1), they were randomized to complete an in-home, tablet-based videogame-like digital treatment (AKL-T03) or control word game (AKL-T09) for up to 25 minutes/day, 5 days/week, for 6 weeks. A repeat in-clinic evaluation occurred at 6 weeks (Visit 2), and again 8 weeks later to determine persistence of effects (Visit 3). The pre-specified primary outcome was change in SDMT score between Visits 1 and 2. RESULTS: SDMT increased at Visit 2 for participants randomized to both AKL-T03 (p < 0.001) and AKL-T09 (p = 0.024). These respective mean improvements were +6.10 and +3.55 (comparison p = 0.21). At Visit 3, 70% of participants randomized to AKL-T03 maintained a clinically meaningful 4+-point increase in SDMT above their baseline, compared with 37% for AKL-T09 (p = 0.038). CONCLUSION: This in-home digital intervention resulted in substantial and durable improvements in processing speed. A larger randomized controlled clinical trial is planned. TRIAL REGISTRATION: This trial is registered on ClinicalTrials.gov under "NCT03569618," https://clinicaltrials.gov/ct2/show/NCT03569618.

Prospective growth and developmental outcomes in infants born to mothers with multiple sclerosis.

BACKGROUND: The importance of supporting pregnancy-related decisions in multiple sclerosis (MS) patients has increasingly been recognized and hence the need for prospective data on pregnancy and pediatric outcomes in this patient population. OBJECTIVE: To assess prospective growth and developmental outcomes of infants born to mothers with multiple sclerosis (IMS). METHODS: PREG-MS is a prospective multicenter cohort study in New England, United States. We followed 65 women with MS and their infants with up to 12 months consistent pediatric follow-up. Pediatric, neurologic, and demographic information was obtained via structured telephone interviews and validated with medical records. RESULTS: No differences in infant weights and lengths with World Health Organization (WHO) 50th percentile standards were observed (p > 0.05). However, larger head circumference (HC) measurements than WHO standards were reported in cohort infants (p < 0.05). There was no association between HC and markers of maternal MS activity, demographic, or social factors. No irreversible pediatric developmental abnormalities were observed. CONCLUSION: This first prospective study on pediatric anthropometry in IMS suggests a possible increase in HC compared to WHO standards without an increase in irreversible developmental abnormalities. The observations are exploratory and require confirmation with larger prospective studies in diverse groups of MS patients.