Evaluating the effect of dimethyl fumarate on subclinical biomarkers in a real-world patient cohort.

OBJECTIVE: Evaluate the real-world effect of dimethyl fumarate (DMF) on subclinical biomarkers in patients with relapsing-remitting multiple sclerosis (RRMS) and compare with results from clinical trials. METHODS: Magnetic resonance imaging (MRI) data from 102 RRMS patients were retrospectively collected and processed using icobrain to assess brain atrophy and to assist semi-manual lesion count. RESULTS: Mean (±SD) annualized percent brain volume change in the first 3 years after DMF-initiation were: -0.33 ± 0.68, -0.10 ± 0.60, and - 0.35 ± 0.71%/year, respectively. No new FLAIR lesions were detected in 73.7%, 77.3%, and 73.3% of the patients during years 1, 2, and 3. CONCLUSIONS: Results of this real-world study were consistent with previous DMF phase III clinical trials, supporting the generalizability of the effects observed in clinical trials to the real-world clinical setting.

Understanding multiple sclerosis as a disease spectrum: above and below the clinical threshold.

PURPOSE OF REVIEW: Research in multiple sclerosis (MS) has long been predicated on clinical groupings that do not reflect the underlying biologic heterogeneity apparent within patient populations. This review explicates the various levels of explanation through which the spectrum of disease is described and investigated both above and below the clinical threshold of detection, as framed by the topographical model of MS, to help advance a cogent mechanistic framework. RECENT FINDINGS: Contemporary evidence has amended the view of MS as consisting of sequential disease phases in favor of a spectrum of disease with an admixture of interdependent and dynamic pathobiological axes driving tissue injury and progression. Recent studies have shown the presence of acute and compartmentalized inflammation and mechanisms of neurodegeneration beginning early and evolving throughout the disease continuum. Still, the gap between the understanding of immunopathologic processes in MS and the tools used to measure relevant molecular, laboratory, radiologic, and clinical metrics needs attention to enable better prognostication of disease and monitoring for changes along specific pathologic axes and variable treatment outcomes. SUMMARY: Aligning on a consistently-applied mechanistic framework at distinct levels of explanation will enable greater precision across bench and clinical research, and inform discourse on drivers of disability progression and delivery of care for individuals with MS.

The impact of social distancing measures on anti-JC virus serostatus changes before and during the COVID-19 pandemic in US patients with multiple sclerosis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic offered an epidemiological opportunity to evaluate if isolation and masking affected John Cunningham (JC) virus transmission. OBJECTIVE: This study aimed to assess the proportion of natalizumab-treated patients who converted to a positive anti-JCV antibody serostatus before and during the pandemic. METHODS: Data from TYSABRI Outreach: Unified Commitment to Health (TOUCH) for 22,375 US patients treated with natalizumab with anti-JCV antibody records were assessed in epochs annually from 2017 to 2022. RESULTS: Pre-pandemic anti-JCV antibody serostatus change was observed for 7.4%-7.7%. During the first and second years of the pandemic, 7.3% and 7.2% of patients' serostatus changed, respectively. CONCLUSION: The proportion of patients with anti-JCV antibody serostatus change did not significantly differ during the first 2 years of the pandemic compared with prior years. In contrast to seasonal influenza, masking and social distancing had no discernable effect on JCV serostatus change.

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis.

Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologists for monitoring clinically silent MS disease activity and, where appropriate, escalating treatment, standard radiology reports are qualitative and may be insensitive to the development of new or enlarging lesions. Existing quantitative neuroimaging tools lack adequate clinical validation. In 397 multi-center MRI scan pairs acquired in routine practice, we demonstrate superior case-level sensitivity of a clinically integrated AI-based tool over standard radiology reports (93.3% vs 58.3%), relative to a consensus ground truth, with minimal loss of specificity. We also demonstrate equivalence of the AI-tool with a core clinical trial imaging lab for lesion activity and quantitative brain volumetric measures, including percentage brain volume loss (PBVC), an accepted biomarker of neurodegeneration in MS (mean PBVC -0.32% vs -0.36%, respectively), whereas even severe atrophy (>0.8% loss) was not appreciated in radiology reports. Finally, the AI-tool additionally embeds a clinically meaningful, experiential comparator that returns a relevant MS patient centile for lesion burden, revealing, in our cohort, inconsistencies in qualitative descriptors used in radiology reports. AI-based image quantitation enhances the accuracy of, and value-adds to, qualitative radiology reporting. Scaled deployment of these tools will open a path to precision management for patients with MS.

Depression symptoms and cognition in multiple sclerosis: Longitudinal evidence of a specific link to executive control.

BACKGROUND: Depression symptoms are prevalent in multiple sclerosis (MS) and associated with poorer cognition in cross-sectional studies; it is unknown whether changes in depression symptoms track with cognitive changes longitudinally. OBJECTIVE: Investigate whether changes in depression symptoms correspond with cognitive changes over time in MS, and identify specific cognitive functions related to depression symptoms. METHOD: Persons with early relapse-onset MS (n = 165) completed a depression questionnaire (Beck Depression Inventory FastScreen) and tests of cognitive speed, executive control, and memory at baseline and 3-year follow-up. One-way ANOVAs assessed differences in cognitive change across participants with worsened, stable, or improved depression symptoms from baseline to year 3. RESULTS: Change in depression symptoms was related to change in executive control (p = 0.001, ηp2 = 0.08; worsened mood with worsened executive control; improved mood with improved executive control), even when adjusting for cognitive speed (p = 0.002, ηp2 = 0.08). There were no links to cognitive speed (p = 0.826) or memory (p = 0.243). Regarding individual depression symptoms, executive control was related to loss of pleasure and suicidal thoughts. CONCLUSIONS: Executive control tracks with depression symptoms, raising hope that management of mood may improve executive control. The specific link between executive control and anhedonia implicates dysfunctional reward processing as a key component of MS depression.

MS becomes a treatable disease: 30 years later.

30 years ago the first disease-modifying therapy for relapsing multiple sclerosis was approved for use in the United States and soon thereafter across the globe. Since then the field of MS therapeutics, and studies of immunopathogenesis and genetics, have advanced our understanding of the disease and raised the hope of better addressing the next challenges of treating progressive disease, enhancing repair of the damaged nervous system and, hopefully, of a cure. Thirty years into the MS treatment era, the field continues to debate fundamental aspects of MS, and there exists a widening chasm between the triumphs in relapsing disease and the desolation of MS progression, which remains the principal unmet need. In this Personal Viewpoint, we outline lessons learned from the first era of great therapeutic development, as we look to the future of MS research and therapeutics.

The impact of relapse definition and measures of durability on MS clinical trial outcomes.

BACKGROUND: Definitions of trial measures are consequential to accurately capturing outcomes and cross-trial comparability, particularly for derivative measures. OBJECTIVE: Using CombiRx, examine the impact of relapse definition on endpoints and evaluate the durability of progression measures in Relapsing Remitting Multiple Sclerosis (RRMS). METHODS: CombiRx relapse types were distinguished by the presence or timing of Expanded Disability Status Scale (EDSS) increase. Using the broadest definition of relapse, progression endpoints were assessed in patients without relapses on trial. Durability compared EDSS at study end and time of worsening. RESULTS: Broadening relapse definition to the most inclusive definition increased annualized relapse rate (ARR) threefold in all arms and decreased progression independent of relapse activity (PIRA), defined as 6-month confirmed disability worsening (6M CDW) without relapse, by 44%. Neither PIRA nor PIA (progression independent of any inflammatory activity) guaranteed durable worsening, with 43% and 40%, respectively, improving by end of study. Multivariate analysis showed two CDW events, not relapse, predicted durability among patients meeting 6M CDW. CONCLUSIONS: The stringency of relapse definition impacted absolute ARR and composite endpoints in RRMS. Despite the most generous relapse definition, 43% of patients meeting PIRA on trial did not have durable worsening suggesting that relapse definition and durability should be considered to avoid overestimating progression in RRMS trials.

Evaluation of immunological responses to third COVID-19 vaccine among people treated with sphingosine receptor-1 modulators and anti-CD20 therapy.

BACKGROUND: People living with multiple sclerosis (MS) and other disorders treated with immunomodulatory therapies remain concerned about suboptimal responses to coronavirus disease 2019 (COVID-19) vaccines. Important questions persist regarding immunological response to third vaccines, particularly with respect to newer virus variants. The objective of this study is to evaluate humoral and cellular immune responses to a third COVID-19 vaccine dose in people on anti-CD20 therapy and sphingosine 1-phosphate receptor (S1PR) modulators, including Omicron-specific assays. METHODS: This is an observational study evaluating immunological responses to third COVID-19 vaccine dose in participants treated with anti-CD20 agents, S1PR modulators, and healthy controls. Neutralizing antibodies against USA-WA1/2020 (WA1) and B.1.1.529 (BA.1) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were measured before and after third vaccine. Groups were compared by one-way ANOVA with Tukey multiple comparisons. Cellular responses to spike peptide pools generated from WA1 and BA.1 were evaluated. Pre-post comparisons were made by Wilcoxon paired t-tests, inter-cohort comparisons by Mann-Whitney t-test. RESULTS: This cohort includes 25 participants on anti-CD20 therapy, 12 on S1PR modulators, and 14 healthy controls. Among those on anti-CD20 therapy, neutralizing antibodies to WA1 were significantly reduced compared to healthy controls (ID50% GM post-vaccination of 8.1 ± 2.8 in anti-CD20 therapy group vs 452.6 ± 8.442 healthy controls, P < 0.0001) and neutralizing antibodies to BA.1 were below the threshold of detection nearly universally. However, cellular responses, including to Omicron-specific peptides, were not significantly different from controls. Among those on S1PR modulators, neutralizing antibodies to WA1 were detected in a minority, and only 3/12 had neutralizing antibodies just at the limit of detection to BA.1. Cellular responses to Spike antigen in those on S1PR modulators were reduced by a factor of 100 compared to controls (median 0.0008% vs. 0.08%, p < 0.001) and were not significantly "boosted" by a third injection. CONCLUSIONS: Participants on anti-CD20 and S1PR modulator therapies had impaired antibody neutralization capacity, particularly to BA.1, even after a third vaccine. T cell responses were not affected by anti-CD20 therapies, but were nearly abrogated by S1PR modulators. These results have clinical implications warranting further study.

Predictors of Disease Activity and Worsening in Relapsing-Remitting Multiple Sclerosis.

Background and Objectives: Disease activity in multiple sclerosis (MS) is highly variable, and there are limited prospective studies on predictors of disease outcomes. The goal of this study is to identify and assess patient characteristics in MS that predict disease activity and worsening. Methods: The study population consisted of a prospective cohort of 1,008 participants with relapsing-remitting onset MS enrolled in the CombiRx trial. Cox regression analysis was used to determine hazard ratio (HR) associations between baseline (BL) demographics, clinical history, MRI metrics, and treatment with outcomes of time to first new disease activity over up to 7 years of follow-up including relapse, MRI activity, and disease worsening. Results: One thousand eight participants were randomized, with 959 eligible for assessment of disease activity and worsening on follow-up. In multivariable models, the risk of relapse was higher in participants younger than 38 years at BL than in those older (HR range 1.36-1.43), with the presence of gadolinium (Gd)+ lesions at BL (HR 1.38, [95% confidence interval, CI 1.14, 1.67]) and with BL EDSS ≥3.5 vs <3.5 (HR range 1.63-1.67). The risk of new MRI activity was higher in younger participants (HR range 1.58-1.84), with higher preexisting lesion counts greater than the median lesion count with ≥71 T2 hyperintense lesions vs <71 (HR 1.50, [95% CI 1.27, 1.77]), with the presence of BL Gd+ lesions (HR 1.75, [95% CI 1.49, 2.06]), and higher BL T2 lesion volume (HR 1.02 for every unit increase in baseline volume, [95% CI 1.01, 1.03]). The risk of new MRI activity was lower in those receiving combination therapy compared with those that in those receiving either glatiramer acetate (HR range 0.67-0.68) or interferon beta-1a (HR range 0.68-0.70). The risk of disease worsening was higher for those with higher T2 volume (HR for 1 unit increase in volume 1.01, 95% CI 1.004, 1.03) and BL EDSS <2 (HR range 2.79-2.96). There were no associations between sex, race, and disease duration on relapse, MRI activity, or disease worsening in the multivariable analysis. Discussion: Prospective data from a large clinical trial cohort show that younger MS patients with high BL relapses and MRI lesion burden have the highest risk of subsequent disease activity. Trial Registration Information: Clinical trial registration number NCT00211887. CombiRx was registered at ClinicalTrials.gov (NCT00211887) on September 21, 2005. Study enrollment began in January 2005.

EDSS 0 is not normal: Multiple sclerosis disease burden below the clinical threshold.

Little to no above-threshold deficits may be evident in early multiple sclerosis (MS). The Expanded Disability Status Scale (EDSS) is a standard measure of neurologic function, with an EDSS score of 0 defined as "neurologically normal." The topographical model of MS proposes that sub-threshold disease is compensated for by functional reserve. In this short report, we found that physically high-challenge measures of balance and upper extremity coordination reveal sub-threshold deficits in patients with EDSS score of 0 compared with healthy controls. Challenge task performance was correlated with imaging markers of both lesional burden of disease and a volumetric measure of brain reserve.

Evaluation of immunological responses to third COVID-19 vaccine among people treated with sphingosine receptor-1 modulators and anti-CD20 therapy.

Importance: People living with multiple sclerosis (MS) and other disorders treated with immunomodulatory therapies remain concerned about suboptimal responses to coronavirus disease 2019 (COVID-19) vaccines. Important questions persist regarding immunological response to third vaccines, particularly with respect to newer virus variants. Objective: Evaluate humoral and cellular immune responses to third COVID-19 vaccine dose in people on anti-CD20 therapy and sphingosine 1-phosphate receptor (S1PR) modulators, including Omicron-specific assays. Design: Observational study evaluating immunological response to third COVID-19 vaccine dose in volunteers treated with anti-CD20 agents, S1PR modulators, and healthy controls. Neutralizing antibodies against USA-WA1/2020 (WA1) and B.1.1.529 (BA.1) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were measured before and after third vaccine. Cellular responses to spike peptide pools generated from WA1 and BA.1 were evaluated. Setting: Mount Sinai Hospital. Participants: People treated with anti-CD20 therapy or S1PR modulators and healthy volunteers. Exposure: Treatment with anti-CD20 therapy, S1PR modulator, or neither. Main outcomes and measures: Serum neutralizing antibodies and ex vivo T cell responses against SARS-CoV-2 antigens. Results: This cohort includes 25 participants on anti-CD20 therapy, 12 on S1PR modulators, and 14 healthy controls. Among those on anti-CD20 therapy, neutralizing antibodies to WA1 were significantly reduced compared to healthy controls (ID50% GM post-vaccination of 8.1 ± 2.8 in anti-CD20 therapy group vs 452.6 ± 8.442 healthy controls, P<0.0001) and neutralizing antibodies to BA.1 were below the threshold of detection nearly universally. However, cellular responses, including to Omicron-specific peptides, were not significantly different from controls. Among those on S1PR modulators, neutralizing antibodies to WA1 were detected in a minority, and only 3/12 had neutralizing antibodies just at the limit of detection to BA.1. Cellular responses to Spike antigen in those on S1PR modulators were reduced by a factor of 100 compared to controls (median 0.0008% vs. 0.08%, p<0.001) and were not significantly "boosted" by a third injection. Conclusions and Relevance: Participants on immunomodulators had impaired antibody neutralization capacity, particularly to BA.1, even after a third vaccine. T cell responses were not affected by anti-CD20 therapies, but were nearly abrogated by S1PR modulators. These results have clinical implications warranting further study.

Differential antibody response to COVID-19 vaccines across immunomodulatory therapies for multiple sclerosis.

BACKGROUND: Prior studies suggest reduced humoral response to COVID-19 vaccination in immunosuppressed populations. Disease modifying therapies (DMTs) for multiple sclerosis (MS) have variable immunomodulatory effects, and limited data are available for all DMTs. We aimed to determine the impact of DMTs on antibody response to COVID-19 vaccination among MS patients. METHODS: Patients with documented COVID-19 vaccination dates and anti-spike antibody results post-vaccination were identified between March-August 2021. Clinical data were retrospectively abstracted from chart review. Deidentified data were analyzed to evaluate antibody response, and multivariable logistic regression analyses were used to identify clinical and demographic predictors of antibody response. Data analysis was completed with SAS Studio, v3.8. RESULTS: A total of 353 individuals had documented COVID-19 vaccine and antibody test dates (58% Pfizer, 38% Moderna, and 4% Johnson & Johnson). Of these 353 patients, 72% developed antibodies, with a mean antibody test interval of 53 days (median 46) post final vaccine dose. 100% of those on no DMT (n = 34), injectables (n = 20), teriflunomide (n = 10), natalizumab (n = 71), and 97.8% of those on fumarates (n = 46/47) had a positive antibody result. One patient on cladribine (n = 1) had a negative antibody result. Of those on sphingosine-1 phosphate (S1P) modulators, 72.4% (n = 21/29) had a positive antibody result. Of those on anti-CD20 therapies, 37.6% (n = 53/141) had a positive antibody result. Multivariate modeling of the total cohort showed anti-CD20 therapy was significantly associated with lower odds of positive antibody response (OR = 0.024, 95% CI 0.01;0.05, p < 0.0001). Among S1P modulators, increased duration of therapy, and not lymphopenia, may be associated with lower odds of positive antibody response. Multivariate modeling of anti-CD20 therapies showed therapy duration < 1 year (OR 8.14, 95% CI 2.896;22.898 p < .0001) and prior COVID-19 infection (OR = 3.95, 95% CI 1.137;13.726, p = .03) were significantly associated with higher odds of a positive antibody response. In patients with recent B-cell data, mean B-cell count was higher in antibody-positive individuals compared to antibody-negative (32.9 vs. 3.9 cells, p = .0056). CONCLUSION: MS DMTs had variable impact on antibody response with mRNA and viral vector COVID-19 vaccines. All patients on no DMT, interferons, glatiramer acetate, teriflunomide, natalizumab, and nearly all on fumarates had positive antibody responses post-vaccine. S1P modulators and anti-CD20 therapies attenuated antibody response post-vaccine. For patients on anti-CD20 therapies, shorter duration of therapy and prior COVID-19 infection predicted positive antibody response. Further studies are needed to determine clinical significance of antibody testing, development of cellular mediated immunity, and benefits of booster vaccinations.

Multiple sclerosis diagnosis: Knowledge gaps and opportunities for educational intervention in neurologists in the United States.

BACKGROUND: Few studies have addressed the results of educational efforts concerning proper use of McDonald criteria (MC) revisions outside multiple sclerosis (MS) subspecialty centers. Neurology residents and MS subspecialist neurologists demonstrated knowledge gaps for core elements of the MC in a recent prior study. OBJECTIVE: To assess comprehension and application of MC core elements by non-MS specialist neurologists in the United States who routinely diagnose MS. METHODS: Through a cross-sectional study design, a previously developed survey instrument was distributed online. RESULTS: A total of 222 neurologists completed the study survey. Syndromes atypical for MS were frequently incorrectly considered "typical" MS presentations. Fourteen percent correctly identified definitions of both "periventricular" and "juxtacortical" lesions and 2% correctly applied these terms to 9/9 images. Twenty-four percent correctly identified all four central nervous system (CNS) regions for satisfaction of magnetic resonance imaging (MRI) dissemination in space. In two presented cases, 61% and 71% correctly identified dissemination in time (DIT) was not fulfilled, and 85% and 86% subsequently accepted nonspecific historical symptoms without objective evidence for DIT fulfillment. CONCLUSION: The high rate of knowledge deficiencies and application errors of core elements of the MC demonstrated by participants in this study raise pressing questions concerning adequacy of dissemination and educational efforts upon publication of revisions to MC.

Cerebellar pathology and disability worsening in relapsing-remitting multiple sclerosis: A retrospective analysis from the CombiRx trial.

BACKGROUND AND PURPOSE: Cerebellar damage is a valuable predictor of disability, particularly in progressive multiple sclerosis. It is not clear if it could be an equally useful predictor of motor disability worsening in the relapsing-remitting phenotype. AIM: We aimed to determine whether cerebellar damage is an equally useful predictor of motor disability worsening in the relapsing-remitting phenotype. METHODS: Cerebellar lesion loads and volumes were estimated using baseline magnetic resonance imaging from the CombiRx trial (n = 838). The relationship between cerebellar damage and time to disability worsening (confirmed disability progression [CDP], timed 25-foot walk test [T25FWT] score worsening, nine-hole peg test [9HPT] score worsening) was tested in stagewise and stepwise Cox proportional hazards models, accounting for demographics and supratentorial damage. RESULTS: Shorter time to 9HPT score worsening was associated with higher baseline Expanded Disability Status Scale (EDSS) score (hazard ratio [HR] 1.408, p = 0.0042) and higher volume of supratentorial and cerebellar T2 lesions (HR 1.005 p = 0.0196 and HR 2.211, p = 0.0002, respectively). Shorter time to T25FWT score worsening was associated with higher baseline EDSS (HR 1.232, p = 0.0006). Shorter time to CDP was associated with older age (HR 1.026, p = 0.0010), lower baseline EDSS score (HR 0.428, p < 0.0001) and higher volume of supratentorial T2 lesions (HR 1.024, p < 0.0001). CONCLUSION: Among the explored outcomes, single time-point evaluation of cerebellar damage only allows the prediction of manual dexterity worsening. In clinical studies the selection of imaging biomarkers should be informed by the outcome of interest.

Consensus Curriculum for Fellowship Training in Multiple Sclerosis and Neuroimmunology.

Management of multiple sclerosis and neuroimmunologic disorders has become increasingly complex because of the expanding number of recognized neuroimmune disorders, increased number of therapeutic options, and multidisciplinary care management needs of people with multiple sclerosis and neuroimmunologic disorders. More subspecialists are needed to optimize care of these patients, and many fellowship programs have been created or expanded to increase the subspecialty workforce. Consequently, defining the scope and standardizing fellowship training is essential to ensure that trainees receive high-quality training. A workgroup was created to develop a consensus fellowship curriculum to serve as a resource for all current and future training programs. This curriculum may also serve as a basis for future accreditation efforts.

Dietary factors and MRI metrics in early Multiple Sclerosis.

BACKGROUND: Despite significant interest in diet by the MS community, research on this topic is limited; there are no published studies evaluating associations between diet and neuroimaging in MS. METHODS: We utilized baseline data from the RADIEMS cohort of early MS (diagnosed <5.0 years, n=180). Participants underwent brain MRIs to derive normalized total gray and thalamic volumes, T2 lesion volume, and white matter microstructural integrity of normal appearing white matter (NAWM). Participants completed food frequency questionnaires (FFQ) from which we calculated adherence scores to pre-specified dietary patterns including the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet. We evaluated intake of the following pre-specified dietary components: fruits, vegetables, legumes, nuts, whole grains, dairy, fried foods, processed meats, and fat intake. We used multivariable-adjusted linear regression to evaluate MRI metrics versus dietary measures. RESULTS: MIND diet score was associated with thalamic volume; individuals in the highest quartile of MIND diet scores had greater thalamic volumes versus those in the lowest quartile (Q4 vs. Q1: 1.03mL; 95%CI: 0.26mL, 1.79mL; p<0.01). For individual food/nutrients, higher intakes of full-fat dairy were associated with lower T2 lesion volumes (Q4 vs. Q1: -0.93mL; 95%CI: -1.51mL, -0.35ml; p<0.01). Higher intakes of marine omega-3 fatty acids were associated with greater NAWM microstructural integrity (Q4 vs. Q1: 0.40; 95%CI: 0.03, 0.76; p=0.04). Other foods/nutrients were not associated with MRI outcomes. CONCLUSIONS: In this first study focused on neuroimaging and diet in MS, we note significant associations in a cross-sectional early MS cohort. Longitudinal follow-up of imaging/clinical outcomes will provide additional insights.

Sleep disturbance and memory dysfunction in early multiple sclerosis.

OBJECTIVE: Sleep-dependent memory processing occurs in animals including humans, and disturbed sleep negatively affects memory. Sleep disturbance and memory dysfunction are common in multiple sclerosis (MS), but little is known about the contributions of sleep disturbance to memory in MS. We investigated whether subjective sleep disturbance is linked to worse memory in early MS independently of potential confounders. METHODS: Persons with early MS (n = 185; ≤5.0 years diagnosed) and demographically matched healthy controls (n = 50) completed four memory tests to derive a memory composite, and four speeded tests to derive a cognitive efficiency composite. Z-scores were calculated relative to healthy controls. Sleep disturbance was defined by the Insomnia Severity Index score ≥ 10. ANCOVAs examined differences in memory and cognitive efficiency between patients with and without sleep disturbance controlling for potential confounds (e.g., mood, fatigue, disability, T2 lesion volume, gray matter volume). Comparisons were made to healthy controls. RESULTS: Seventy-four (40%) patients reported sleep disturbance. Controlling for all covariates, patients with sleep disturbance had worse memory (z = -0.617; 95% CI: -0.886, -0.348) than patients without disturbance (z = -0.171, -0.425, 0.082, P = .003). Cognitive efficiency did not differ between groups. Relative to healthy controls, memory was worse among patients with sleep disturbance, but not among patients without sleep disturbance. INTERPRETATION: Sleep disturbance contributes to MS memory dysfunction, which may help explain differential risk for memory dysfunction in persons with MS, especially since sleep disturbance is common in MS. Potential mechanisms linking sleep disturbance and memory are discussed, as well as recommendations for further mechanistic and interventional research.

The Symbol Digit Modalities Test (SDMT) is sensitive but non-specific in MS: Lexical access speed, memory, and information processing speed independently contribute to SDMT performance.

BACKGROUND: The Symbol Digit Modalities Test (SDMT) is the most sensitive metric of neurocognitive function in multiple sclerosis (MS), and is consistently interpreted as a measure of information processing speed (IPS). OBJECTIVE: To evaluate the cognitive psychometric profile captured by the SDMT to identify whether different cognitive processes independently underlie performance. METHODS: Three samples of MS patients (total n=661; 185 research patients at MS center; 370 clinical patients at MS center; 106 persons with MS from the community) completed objective assessments of neuropsychological function across cognitive domains. Exploratory factor analysis (EFA) was used to derive latent cognitive factor scores, and operationalize cognitive domain composite scores, to understand the unique, shared and redundant contribution of different cognitive domains to SDMT performance using hierarchical multiple regression and commonality analysis. RESULTS: Across three independent samples we provide converging strong evidence that the cognitive domains of Memory, IPS and Rapid Automatized Naming (lexical access speed) jointly and uniquely contribute to SDMT performance. CONCLUSION: The SDMT measures multiple cognitive processes, which likely explains the high degree of sensitivity to cognitive change in MS. Researchers and clinicians should interpret the SDMT as a multifarious measure of general cognition rather than a specific test of IPS.