Prognostic factors of disability in relapsing remitting multiple sclerosis

Adaptive and Innate Immunity Are Key Drivers of Age at Onset of Multiple Sclerosis

Background and Objectives

Multiple sclerosis (MS) age at onset (AAO) is a clinical predictor of long-term disease outcomes, independent of disease duration. Little is known about the genetic and biological mechanisms underlying age of first symptoms. We conducted a genome-wide association study (GWAS) to investigate associations between individual genetic variation and the MS AAO phenotype.

Methods

The study population was comprised participants with MS in 6 clinical trials: ADVANCE (N = 655; relapsing-remitting [RR] MS), ASCEND (N = 555; secondary-progressive [SP] MS), DECIDE (N = 1,017; RRMS), OPERA1 (N = 581; RRMS), OPERA2 (N = 577; RRMS), and ORATORIO (N = 529; primary-progressive [PP] MS). Altogether, 3,905 persons with MS of European ancestry were analyzed. GWAS were conducted for MS AAO in each trial using linear additive models controlling for sex and 10 principal components. Resultant summary statistics across the 6 trials were then meta-analyzed, for a total of 8.3 × 10-6 single nucleotide polymorphisms (SNPs) across all trials after quality control and filtering for heterogeneity. Gene-based tests of associations, pathway enrichment analyses, and Mendelian randomization analyses for select exposures were also performed.

Results

Four lead SNPs within 2 loci were identified (p < 5 × 10-8), including a) 3 SNPs in the major histocompatibility complex and their effects were independent of HLA-DRB1*15:01 and b) a LOC105375167 variant on chromosome 7. At the gene level, the top association was HLA-C (p = 1.2 × 10-7), which plays an important role in antiviral immunity. Functional annotation revealed the enrichment of pathways related to T-cell receptor signaling, autoimmunity, and the complement cascade. Mendelian randomization analyses suggested a link between both earlier age at puberty and shorter telomere length and earlier AAO, while there was no evidence for a role for either body mass index or vitamin D levels.

Discussion

Two genetic loci associated with MS AAO were identified, and functional annotation demonstrated an enrichment of genes involved in adaptive and complement immunity. There was also evidence supporting a link with age at puberty and telomere length. The findings suggest that AAO in MS is multifactorial, and the factors driving onset of symptoms overlap with those influencing MS risk.

Investigating disparities in smoking cessation treatment for veterans with multiple sclerosis: A national analysis

BACKGROUND AND AIMS

Smoking is a risk factor for multiple sclerosis (MS) development, symptom burden, decreased medication efficacy, and increased disease-related mortality. Veterans with MS (VwMS) smoke at critically high rates; however, treatment rates and possible disparities are unknown. To promote equitable treatment, we aim to investigate smoking cessation prescription practices for VwMS across social determinant factors.

METHODS

We extracted data from the national Veterans Health Administration electronic health records between October 1, 2017, and September 30, 2018. To derive marginal estimates of the association of MS with receipt of smoking-cessation pharmacotherapy, we used propensity score matching through the extreme gradient boosting machine learning model. VwMS who smoke were matched with veterans without MS who smoke on factors including age, race, depression, and healthcare visits. To assess the marginal association of MS with different cessation treatments, we used logistic regression and conducted stratified analyses by sex, race, and ethnicity.

RESULTS

The matched sample achieved a good balance across most covariates, compared to the pre-match sample. VwMS (n = 3320) had decreased odds of receiving prescriptions for nicotine patches ([Odds Ratio]OR = 0.86, p < .01), non-patch nicotine replacement therapy (NRT; OR = 0.81, p < .001), and standard practice dual NRT (OR = 0.77, p < .01), compared to matches without MS (n = 13,280). Men with MS had lower odds of receiving prescriptions for nicotine patches (OR = 0.88, p = .05), non-patch NRT (OR = 0.77, p < .001), and dual NRT (OR = 0.72, p < .001). Similarly, Black VwMS had lower odds of receiving prescriptions for patches (OR = 0.62, p < .001), non-patch NRT (OR = 0.75, p < .05), and dual NRT (OR = 0.52, p < .01). The odds of receiving prescriptions for bupropion or varenicline did not differ between VwMS and matches without MS.

CONCLUSION

VwMS received significantly less smoking cessation treatment, compared to matched controls without MS, showing a critical gap in health services as VwMS are not receiving dual NRT as the standard of care. Prescription rates were especially lower for male and Black VwMS, suggesting that under-represented demographic groups outside of the white female category, most often considered as the "traditional MS" group, could be under-treated regarding smoking cessation support. This foundational work will help inform future work to promote equitable treatment and implementation of cessation interventions for people living with MS.

The impact of medical insurance on health care access and quality for people with multiple sclerosis in the United States: A scoping review

BACKGROUND

In the United States, health insurance coverage and quality mediate access to health care, a key social determinant of health.

OBJECTIVE

To perform a scoping review regarding the impact of insurance coverage and benefit design on health care access and both clinical and quality of life outcomes in people with MS (pwMS).

METHODS

Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines were followed. A literature search was conducted from January 2010 to February 2022. Included studies were in English, peer-reviewed, US-based, and evaluated elements of insurance and their relationship with access and quality outcomes for adult pwMS.

RESULTS

Our search identified 1619 articles, of which 32 met inclusion criteria. Privately insured pwMS were more likely to be on disease-modifying therapy (DMT). Increased out-of-pocket spending was associated with lower DMT adherence and greater discontinuation rates. Access to specialty pharmacy programs was associated with improved DMT adherence.

CONCLUSION

Health insurance coverage and design strongly influences health care for pwMS in the United States and may be a modifiable social determinant of health. Increased pharmaceutical cost-sharing is associated with declines in DMT utilization and adherence. Further study is needed to better characterize the impacts of other core elements of health insurance, including prior authorization requirements and step therapy.

Common Social and Health Disparities Contribute to Racial Differences in Ambulatory Impairment in Multiple Sclerosis

BACKGROUND

We previously reported more rapid accrual of ambulatory impairments in Black compared to White individuals with relapsing remitting multiple sclerosis (RRMS) and higher body mass index (BMI). Hypertension and lower neighborhood socioeconomic status (SES) were associated with greater impairment, irrespective of race. We hypothesize that these common social and health inequities may explain a substantial portion of the racial differences in ambulation in American individuals with RRMS.

METHODS

Causal mediation analyses investigated baseline and change-over-time mediators of ambulatory impairment differences between 1795 Black and White individuals with RRMS using a retrospective cohort study comprised of electronic health record data from 8491 clinical encounters between 2008 and 2015 where Timed 25-Foot Walk (T25FW) speeds without assistive devices were recorded. The hypothesis was that BMI, neighborhood SES, and hypertension were possible mediators.

RESULTS

At baseline, Black individuals with RRMS (n = 175) had significantly slower T25FW speeds (5.78 vs 5.27 ft/s), higher BMI, a higher prevalence of hypertension, and they were more likely to live in lower-income neighborhoods than White individuals (n = 1,620). At baseline, a significant proportion (33.7%; 95% CI, 18.9%-59.4%) of the T25FW difference between Black and White individuals was indirectly due to a higher BMI (12.5%), hypertension burden (9.5%), and living in lower-income neighborhoods (11.2%). Once baseline mediation relationships were accounted for, there were no significant longitudinal mediation relationships.

CONCLUSIONS

The findings implicate social and health disparities as prominent drivers of ambulatory differences between Black and White individuals with RRMS, suggesting that wellness and health promotion are essential components of MS care, particularly for Black individuals.

The Importance of Managing Modifiable Comorbidities in People with Multiple Sclerosis: A Narrative Review

Multiple sclerosis (MS) is a chronic, inflammatory, degenerative demyelinating disease of the central nervous system (CNS) of unknown etiology that affects individuals in their early adulthood. In the last decade, life expectancy for people with MS (PwMS) has almost equaled that of the general population. This demographic shift necessitates a heightened awareness of comorbidities, especially the ones that can be prevented and modified, that can significantly impact disease progression and management. Vascular comorbidities are of particular interest as they are mostly modifiable health states, along with voluntary behaviors, such as smoking and alcohol consumption, commonly observed among individuals with MS. Vascular risk factors have also been implicated in the etiology of cerebral small vessel disease. Furthermore, differentiating between vascular and MS lesion load poses a significant challenge due to overlapping clinical and radiological features. This review describes the current evidence regarding the range of preventable and modifiable comorbidities and risk factors and their implications for PwMS.

Should autologous hematopoietic stem cell transplantation be offered as a first-line disease modifying therapy to patients with multiple sclerosis?

In multiple sclerosis (MS), progression independent of new focal inflammation may commence shortly after disease onset, and it is increasingly revealed that the risk of disability accrual is reduced by early use of high-efficacy disease-modifying therapies (HE-DMTs). People with aggressive MS may therefore benefit from early treatment with autologous haematopoietic stem cell transplantation (AHSCT), a procedure inducing maximal immunosuppression followed by immune reconstitution, demonstrated to be superior to DMTs in one randomized clinical trial. However, in current practice prior failure to HE-DMTs is typically required to establish the indication for AHSCT. In the present article, the available evidence on the potential role of AHSCT as first-line treatment in aggressive MS and the rationale for its early use will be summarized. Proposed definitions of aggressive MS that could help identifying MS patients eligible for early treatment with AHSCT will also be discussed.

Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis

BACKGROUND

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that affects millions of people worldwide. The disease course varies greatly across individuals and many disease-modifying treatments with different safety and efficacy profiles have been developed recently. Prognostic models evaluated and shown to be valid in different settings have the potential to support people with MS and their physicians during the decision-making process for treatment or disease/life management, allow stratified and more precise interpretation of interventional trials, and provide insights into disease mechanisms. Many researchers have turned to prognostic models to help predict clinical outcomes in people with MS; however, to our knowledge, no widely accepted prognostic model for MS is being used in clinical practice yet.

OBJECTIVES

To identify and summarise multivariable prognostic models, and their validation studies for quantifying the risk of clinical disease progression, worsening, and activity in adults with MS.

SEARCH METHODS

We searched MEDLINE, Embase, and the Cochrane Database of Systematic Reviews from January 1996 until July 2021. We also screened the reference lists of included studies and relevant reviews, and references citing the included studies.

SELECTION CRITERIA

We included all statistically developed multivariable prognostic models aiming to predict clinical disease progression, worsening, and activity, as measured by disability, relapse, conversion to definite MS, conversion to progressive MS, or a composite of these in adult individuals with MS. We also included any studies evaluating the performance of (i.e. validating) these models. There were no restrictions based on language, data source, timing of prognostication, or timing of outcome.

DATA COLLECTION AND ANALYSIS

Pairs of review authors independently screened titles/abstracts and full texts, extracted data using a piloted form based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS), assessed risk of bias using the Prediction Model Risk Of Bias Assessment Tool (PROBAST), and assessed reporting deficiencies based on the checklist items in Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD). The characteristics of the included models and their validations are described narratively. We planned to meta-analyse the discrimination and calibration of models with at least three external validations outside the model development study but no model met this criterion. We summarised between-study heterogeneity narratively but again could not perform the planned meta-regression.

MAIN RESULTS

We included 57 studies, from which we identified 75 model developments, 15 external validations corresponding to only 12 (16%) of the models, and six author-reported validations. Only two models were externally validated multiple times. None of the identified external validations were performed by researchers independent of those that developed the model. The outcome was related to disease progression in 39 (41%), relapses in 8 (8%), conversion to definite MS in 17 (18%), and conversion to progressive MS in 27 (28%) of the 96 models or validations. The disease and treatment-related characteristics of included participants, and definitions of considered predictors and outcome, were highly heterogeneous amongst the studies. Based on the publication year, we observed an increase in the percent of participants on treatment, diversification of the diagnostic criteria used, an increase in consideration of biomarkers or treatment as predictors, and increased use of machine learning methods over time. Usability and reproducibility All identified models contained at least one predictor requiring the skills of a medical specialist for measurement or assessment. Most of the models (44; 59%) contained predictors that require specialist equipment likely to be absent from primary care or standard hospital settings. Over half (52%) of the developed models were not accompanied by model coefficients, tools, or instructions, which hinders their application, independent validation or reproduction. The data used in model developments were made publicly available or reported to be available on request only in a few studies (two and six, respectively). Risk of bias We rated all but one of the model developments or validations as having high overall risk of bias. The main reason for this was the statistical methods used for the development or evaluation of prognostic models; we rated all but two of the included model developments or validations as having high risk of bias in the analysis domain. None of the model developments that were externally validated or these models' external validations had low risk of bias. There were concerns related to applicability of the models to our research question in over one-third (38%) of the models or their validations. Reporting deficiencies Reporting was poor overall and there was no observable increase in the quality of reporting over time. The items that were unclearly reported or not reported at all for most of the included models or validations were related to sample size justification, blinding of outcome assessors, details of the full model or how to obtain predictions from it, amount of missing data, and treatments received by the participants. Reporting of preferred model performance measures of discrimination and calibration was suboptimal.

AUTHORS' CONCLUSIONS

The current evidence is not sufficient for recommending the use of any of the published prognostic prediction models for people with MS in clinical routine today due to lack of independent external validations. The MS prognostic research community should adhere to the current reporting and methodological guidelines and conduct many more state-of-the-art external validation studies for the existing or newly developed models.

Preliminary race-ethnicity-based analyses of fall risk among people with multiple sclerosis

BACKGROUND

Mounting evidence suggests differences in the disease characteristics of multiple sclerosis (MS) across ethnic and racial groups. Although it is widely recognized that falls are a significant concern for people with MS (PwMS), no study has explored if the fall risk is related to race/ethnicity in PwMS. The primary purpose of this pilot study was to examine whether the risk of falls is different between age-matched White, Black, and Latinx PwMS.

METHODS

Fifteen White, 16 Black, and 22 Latinx, age-matched ambulatory PwMS were selected from previous studies. Demographic and disease information, the fall risk (annual fall prevalence, proportion of recurrent fallers, and the number of falls) in the preceding year, and a battery of fall risk factors (including the disability level, gait speed, and cognition) were compared between race/ethnicity groups. The fall history was gathered using the valid fall questionnaire. The disability level was assessed by the Patient Determined Disease Steps score. Gait speed was measured using the Timed 25-Foot Walk test. The short Blessed Orientation-Memory-Concentration test evaluates participants' cognitive function. SPSS 28.0 was used for all statistical analyses and a significance level of 0.05 was applied.

RESULTS

Among the demographic measurements, age (p = 0.052), sex (p = 0.17), body mass (p = 0.338), age at diagnosis (p = 0.623), and disease duration (p = 0.280) were comparable across groups while the body height was significantly different between racial groups (p < 0.001). Binary logistic regression analysis did not detect a significant relationship between the faller status and racial/ethnic group (p = 0.571) after controlling the body height and age. Similarly, the recurrent faller status was not associated with our participants' race/ethnicity (p = 0.519). There was no difference in the number of falls in the past year between racial groups (p = 0.477). The fall risk factors of disability level (p = 0.931) and gait speed (p = 0.252) were similar among the groups. However, the White group had a significantly better Blessed Orientation-Memory-Concentration score than the Black (p = 0.037) and Latinx (p = 0.036) groups. No significant difference in the Blessed Orientation-Memory-Concentration score was observed between the Black and Latinx groups (p = 0.857).

CONCLUSION

As the initial attempt, our preliminary study suggests that the annual risk of being a faller or recurrent faller may not be affected by PwMS' race/ethnicity. Similarly, the physical functions (quantified by the Patient Determined Disease Steps and the gait speed) are comparable between racial/ethnic groups. However, the cognitive function may differ among age-matched racial groups of PwMS. Given the small sample size, caution is warranted when interpreting our findings. Despite the limitations, our study provides pilot knowledge about how race/ethnicity affects the fall risk in PwMS. Due to the limited sample size, it is too soon to definitively conclude that race/ethnicity has ignorable impacts on fall risk in PwMS. Further studies with larger sample sizes and more fall risk metrics are needed to clarify the effects of race/ethnicity on fall risk in this population.

Long-term trajectories of ambulatory impairment in multiple sclerosis

BACKGROUND

Ambulatory impairment is a common and complex manifestation of multiple sclerosis (MS), and longitudinal patterns are not well understood.

OBJECTIVE

To characterize longitudinal walking speed trajectories in a general MS patient population and in those with early disease (⩽ 5 years from onset), identify subgroups with similar patterns, and examine associations with individual attributes.

METHODS

Using a retrospective cohort study design, latent class growth analysis was applied to longitudinal timed 25-foot walk (T25-FW) data from 7683 MS patients, to determine T25-FW trajectories. Associations were evaluated between trajectory assignment and individual attributes. Analyses were repeated for 2591 patients with early disease.

RESULTS

In the general patient population, six trajectories were discerned, ranging from very minimal to very high impairment at baseline, with variability in impairment accrual. The clusters with moderate to very high walking impairment were associated with being female, older and Black American, longer symptom duration, progressive course, and depressive symptoms. In the early disease subset, eight trajectories were discerned that included two subgroups that rapidly accrued impairment.

CONCLUSION

We identified novel subgroups of MS patients will distinct long-term T25-FW trajectories. These results underscore that socially disadvantaged and economically marginalized MS patients are the most vulnerable for severe ambulatory impairment.

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.

Matching-Adjusted Indirect Comparisons of Diroximel Fumarate, Ponesimod, and Teriflunomide for Relapsing Multiple Sclerosis

INTRODUCTION

Diroximel fumarate (DRF), ponesimod (PON), and teriflunomide (TERI) are oral disease-modifying therapies approved for the treatment of relapsing multiple sclerosis. No randomized trials have compared DRF versus PON or TERI.

OBJECTIVES

The objectives of this analysis were to compare DRF versus PON and DRF versus TERI for clinical and radiological outcomes.

METHODS

We used individual patient data from EVOLVE-MS-1, a 2-year, open-label, single-arm, phase III trial of DRF (n = 1057), and aggregated data from OPTIMUM, a 2-year, double-blind, phase III trial comparing PON (n = 567) and TERI (n = 566). To account for cross-trial differences, EVOLVE-MS-1 data were weighted to match OPTIMUM's average baseline characteristics using an unanchored matching-adjusted indirect comparison. We examined the outcomes of annualized relapse rate (ARR), 12-week confirmed disability progression (CDP), 24-week CDP, absence of gadolinium-enhancing (Gd+) T1 lesions, and absence of new/newly enlarging T2 lesions.

RESULTS

After weighting, we did not observe strong evidence of differences between DRF and PON for ARR [DRF versus PON incidence rate difference (IRD) -0.02; 95% confidence interval (CI) -0.08, 0.04; incidence rate ratio (IRR) 0.92; 95% CI 0.61, 1.2], 12-week CDP [risk difference (RD) -2.5%; 95% CI -6.3, 1.2; risk ratio (RR) 0.76; 95% CI 0.38, 1.1], 24-week CDP (RD -2.7%; 95% CI -6.0, 0.63; RR 0.68; 95% CI 0.28, 1.0), and absence of new/newly enlarging T2 lesions (RD -2.5%; 95% CI -13, 7.4; RR 0.94; 95% CI 0.70, 1.2). However, a higher proportion of DRF-treated patients were free of Gd+ T1 lesions than PON-treated patients (RD 11%; 95% CI 6.0, 16; RR 1.1; 95% CI 1.06, 1.2). Compared with TERI, DRF showed improved ARR (IRD -0.08; 95% CI -0.15, -0.01; IRR 0.74; 95% CI 0.50, 0.94), 12-week CDP (RD -4.2%; 95% CI -7.9, -0.48; RR 0.67; 95% CI 0.38, 0.90), 24-week CDP (RD -4.3%; 95% CI -7.7, -1.1; RR 0.57; 95% CI 0.26, 0.81), and absence of Gd+ T1 lesions (RD 25%; 95% CI 19, 30; RR 1.4; 95% CI 1.3, 1.5). However, DRF and TERI did not appear to differ significantly with respect to absence of new/newly enlarging T2 lesions when based on comparisons using the overall EVOLVE-MS-1 sample (RD 8.5%; 95% CI -0.93, 18; RR 1.3; 95% CI 0.94, 1.6), or in a sensitivity analysis restricted to newly enrolled EVOLVE-MS-1 patients (RD 2.7%; 95% CI -9.1, 14; RR 1.1; 95% CI 0.68, 1.5).

CONCLUSIONS

We did not observe differences between DRF and PON for ARR, CDP, and absence of new/newly enlarging T2 lesions, but there was a higher proportion of patients free of Gd+ T1 lesions among DRF-treated patients than PON-treated patients. DRF had improved efficacy versus TERI for all clinical and radiological outcomes, except for absence of new/newly enlarging T2 lesions.

CLINICAL TRIALS REGISTRATION

EVOLVE-MS-1 (ClinicalTrials.gov identifier: NCT02634307); OPTIMUM (ClinicalTrials.gov identifier: NCT02425644).

The moderating roles of self-efficacy and depression in dual-task walking in multiple sclerosis: A test of self-awareness theory

OBJECTIVE

Multiple sclerosis (MS) is a debilitating neurological disease associated with a variety of psychological, cognitive, and motoric symptoms. Walking is among the most important functions compromised by MS. Dual-task walking (DTW), an everyday activity in which people walk and engage in a concurrent, discrete task, has been assessed in MS, but little is known about how it relates to other MS symptoms. Self-awareness theory suggests that DTW may be a function of the interactions among psychological, cognitive, and motor processes.

METHOD

Cognitive testing, self-report assessments for depression and falls self-efficacy (FSE), and walk evaluations [DTW and single-task walk (STW)] were assessed in seventy-three people with MS in a clinical care setting. Specifically, we assessed whether psychological factors (depression and FSE) that alter subjective evaluations regarding one's abilities would moderate the relationships between physical and cognitive abilities and DTW performance.

RESULTS

DTW speed is related to diverse physical and cognitive predictors. In support of self-awareness theory, FSE moderated the relationship between STW and DTW speeds such that lower FSE attenuated the strength of the relationship between them. DTW costs - the change in speed normalized by STW speed - did not relate to cognitive and motor predictors. DTW costs did relate to depressive symptoms, and depressive symptoms moderated the effect of information processing on DTW costs.

CONCLUSIONS

Findings indicate that an interplay of physical ability and psychological factors - like depression and FSE - may enhance understanding of walking performance under complex, real-world, DTW contexts.

Does the inclusion of societal costs change the economic evaluations recommendations? A systematic review for multiple sclerosis disease

BACKGROUND

Multiple sclerosis imposes a heavy burden on the person who suffers from it and on the relatives, due to the caregiving load involved. The objective was to analyse whether the inclusion of social costs in economic evaluations of multiple sclerosis-related interventions changed results and/or conclusions.

METHODS

A systematic review was launched using Medline and the Cost-Effectiveness Analysis Registry of Tufts University (2000-2019). Included studies should: (1) be an original study published in a scientific journal, (2) be an economic evaluation of any multiple sclerosis-related intervention, (3) include productivity losses and/or informal care costs (social costs), (4) be written in English, (5) use quality-adjusted life years as outcome, and (6) separate the results according to the perspective applied.

RESULTS

Twenty-nine articles were selected, resulting in 67 economic evaluation estimations. Social costs were included in 47% of the studies. Productivity losses were assessed in 90% of the estimations (the human capital approach was the most frequently used method), whereas informal care costs were included in nearly two-thirds of the estimations (applying the opportunity and the replacement-cost methods equally). The inclusion of social costs modified the figures for incremental costs in 15 estimations, leading to a change in the conclusions in 10 estimations, 6 of them changing from not recommended from the healthcare perspective to implemented from the societal perspective. The inclusion of social costs also altered the results from cost-effective to dominant in five additional estimations.

CONCLUSIONS

The inclusion of social costs affected the results/conclusions in multiple sclerosis-related interventions, helping to identify the most appropriate interventions for reducing its economic burden from a broader perspective.

Predictors of severity and outcome of multiple sclerosis relapses

BACKGROUND

Multiple Sclerosis (MS) is a demyelinating disease of the central nervous system (CNS). The most common type of MS is the relapsing-remitting MS (RRMS) where relapses are the main component of the disease course. However, the relationship between the characteristics of the relapses on one hand and their severity and outcome on the other hand has not been fully characterized.

OBJECTIVES

To explore the characteristics of relapses among a cohort of Egyptian MS patients and their relation to the severity and outcome of the disease.

SUBJECTS AND METHODS

We analyzed 300 attacks from 223 patients in a retrospective study to identify demographic, clinical and paraclinical (laboratory and radiological) factors affecting: 1- Severity of relapses (the difference between the EDSS at the day of maximum worsening and the EDSS before the onset of the attack). 2- Outcome of relapses (the difference between the EDSS at the day of maximum improvement and the EDSS before the onset of the relapse).

RESULTS

Severe attacks were most likely to occur in patients who are males, single, presenting with poly-symptomatic presentation, slower tempo of evolution of attack symptoms, longer duration of the attack, absence of DMTs at the time of the attack. The risk of having a severe relapse is more than 3 times when the patient is single. Regarding attack outcome, poorly recovered attacks were more common in patients with older age at disease onset and at attack onset, male sex, higher number of relapses, longer duration of illness prior to the attack, severe relapses, polysymptomatic presentation, associated cognitive symptoms, slower tempo of symptom evolution, longer duration of the attack, patients on OCPs, smoking, and presence of black holes in brain MRI. The risk of having relapses with partial or no recovery is more than five times when the patient has black holes in brain MRI and more than 4 times when the patient is a smoker.

CONCLUSION

Bearing in mind the demographic characteristics as well as the clinical and paraclinical characteristics of each attack and their relation to attack severity and outcome are a key to understanding the individual disease course of every patient and hence tailoring the best therapeutic plan suitable for his individual needs. In other words, prompt, rapid intervention in male patients, polysymptomatic attacks, slower tempo of evolution of attack symptoms and longer duration of the attack should be adopted since these factors are predictive of severe relapses as well as poor relapse outcome.

The association between tobacco smoking and depression and anxiety in people with multiple sclerosis: A systematic review

BACKGROUND

The link between tobacco smoking and Multiple Sclerosis (MS) onset and progression is well-established. While clinical levels of depression and anxiety are highly prevalent in people living with MS (plwMS), and both are recognized as common MS-related symptoms, the relationships between smoking behavior and depression and anxiety are unclear. This systematic review aimed to synthesize evidence on the relationships between current-smoking and former-smoking and depression and anxiety in plwMS.

METHODS

Systematic review of all studies investigating associations between tobacco smoking and depression and anxiety in plwMS was conducted. Relevant studies published before 26 April 2022 were identified by searching seven databases; MEDLINE® (Ovid and PubMed), Embase, CINAHL®, Cochrane Library and PsycInfo), and citation and reference list checking. Joanna Briggs Institute Critical Appraisal Checklists for respective study designs assessed the risk of bias.

RESULTS

Thirteen publications reporting on 12 studies met study inclusion criteria. Nine of 12 studies examining current-smoking and depression in plwMS identified a positive association. Four prospective studies provided evidence supporting a causal smoking-depression relationship, with 1.3-2.3-fold higher depression prevalence found in current-smokers than non-smokers. Three cross-sectional studies found no smoking-depression association. Four of five included studies found current-smoking was associated with anxiety, with three prospective studies indicating anxiety prevalence was around 20% higher in current-smokers. Former-smoking was associated with increased prevalence of depression, but not anxiety.

CONCLUSION

We provide strong evidence for increased depression prevalence in plwMS who are either current-smokers or former-smokers. However, only current-smoking was associated with increased prevalence of anxiety.

Factors associated with material deprivation in persons with multiple sclerosis in Switzerland: Cross-sectional data from the Swiss Multiple Sclerosis Registry

BACKGROUND

Multiple sclerosis (MS) impacts education, future career pathways and working capability and therefore may negatively impact the financial situation of persons with MS (pwMS) in Switzerland. We therefore investigated the financial situation and its influencing sociodemographic and disease-specific factors of pwMS compared to the general Swiss population with focus on material deprivation (MD).

METHODS

Data on the financial situation of pwMS were collected via a specific questionnaire added to the regular, semi-annual follow-up assessments of the Swiss Multiple Sclerosis Registry. Questions were taken in an unmodified format from the standardized "Statistics on Income and Living Conditions" (SILC) questionnaire 2019 of the Federal Statistical Office of Switzerland which evaluates the financial situation of the general Swiss population, enabling a direct comparison of pwMS with the general Swiss population.

RESULTS

PwMS were 1.5 times more frequently affected by MD than the general Swiss population (6.3% of pwMS versus 4.2% of the general Swiss population) which was confirmed in a multivariable logistic regression analysis of pooled SILC and Swiss Multiple Sclerosis Registry (SMSR) data. High symptom burden, having only mandatory schooling, well as having a pending disability insurance application (as opposed to no application or receiving benefits) were associated with a higher odds of MD whereas higher education, older age, having a Swiss citizenship, living with a spouse or a partner or being currently employed were independently associated with a lower odds of MD.

CONCLUSION

MS has a negative impact on the financial situation and is associated with MD. PwMS with a high symptom burden at the transition from work force to receiving disability benefits appeared to be vulnerable for MD. Higher education, older age, having a Swiss citizenship, living with a spouse or a partner or being currently employed were independently associated with a lower odds of MD.

Specific Aspects of Immunotherapy for Multiple Sclerosis in Switzerland—A Structured Commentary, Update 2022

Multiple sclerosis (MS), particularly relapsing MS (RMS), has become a treatable disease in recent decades, and immunotherapies are now able to influence long-term disease course. A wide range of disease-modifying drugs are available, which makes the choice of therapy in individual cases considerably more complex. Due to specific regulatory aspects (partly diverging approvals by Swissmedic compared to the European Medicines Agency (EMA), and an independent evaluation process for the Federal Office of Public Health (FOPH) specialities list (SL)), we issued a consensus recommendation regarding specific aspects of immunotherapy for MS in Switzerland in 2019. Here, we present revised recommendations with an update on newly approved drugs and new safety aspects, also in reference to the risk of COVID-19 infection and vaccination.

Using personalized prognosis in the treatment of relapsing multiple sclerosis: A practical guide

The clinical course of multiple sclerosis (MS) is highly variable among patients, thus creating important challenges for the neurologist to appropriately treat and monitor patient progress. Despite some patients having apparently similar symptom severity at MS disease onset, their prognoses may differ greatly. To this end, we believe that a proactive disposition on the part of the neurologist to identify prognostic “red flags” early in the disease course can lead to much better long-term outcomes for the patient in terms of reduced disability and improved quality of life. Here, we present a prognosis tool in the form of a checklist of clinical, imaging and biomarker parameters which, based on consensus in the literature and on our own clinical experiences, we have established to be associated with poorer or improved clinical outcomes. The neurologist is encouraged to use this tool to identify the presence or absence of specific variables in individual patients at disease onset and thereby implement sufficiently effective treatment strategies that appropriately address the likely prognosis for each patient.

Epidemiology and Pathophysiology of Multiple Sclerosis

PURPOSE OF REVIEW

This article provides an overview of genetic, environmental, and lifestyle risk factors affecting the disease course of multiple sclerosis (MS) and reviews the pathophysiologic characteristics of both relapsing and progressive MS.

RECENT FINDINGS

The prevalence of MS has increased in recent decades, and costs of care for patients with MS have risen dramatically. Black, Asian, and Hispanic individuals may be at risk for more severe MS-related disability. Multiple genetic MS risk factors have been identified. Factors such as low vitamin D levels and a history of Epstein-Barr virus, smoking, and obesity, especially during childhood, also influence MS risk. Traditionally thought to be a T-cell-mediated disease, recent research has highlighted the additional roles of B cells and microglia in both relapsing and progressive MS.

SUMMARY

Complex interactions between genetic, environmental, and lifestyle factors affect the risk for MS as well as the disease course. People of color have historically been underrepresented in both MS clinical trials and literature, but current research is attempting to better clarify unique considerations in these groups. MS pathology consists of the focal inflammatory lesions that have been well characterized in relapsing MS, as well as a more widespread neurodegenerative component that is posited to drive progressive disease. Recent advances in characterization of both the inflammatory and neurodegenerative aspects of MS pathophysiology have yielded potential targets for future therapeutic options.

Timely intervention, monitoring and education MATTERS in MS (TIME MATTERS in MS): Development of a globally applicable quality improvement tool

Background

Previously, consensus MS care standards were defined by MS specialist neurologists from 19 countries. We developed, piloted and refined an Excel-based quality improvement tool to enable MS services to benchmark against these standards. Here, we examine the refined tool.

Objective

To determine the applicability of the quality improvement tool in different healthcare settings.

Methods

MS centres across the globe were invited to pilot the quality improvement tool by coding the medical records of 36 adults with MS. We invited feedback on user friendliness, quality improvement tool usefulness and relevance of data collected.

Results

Seventeen centres from 14 countries participated; 14 completed the post-service evaluation survey. Over 50% of responders rated the tool ‘very easy’ or ‘easy’ to use and ‘very relevant’ to their service. Almost 85% of responders (11/13) planned to introduce changes to their service, including improvements in documentation, communication, interactions with colleagues and referrals; 85% would use a future shorter version of the tool.

Conclusions

The quality improvement tool can enable MS centres globally to benchmark their services. Widespread uptake of a shorter tool may help MS centres to work towards achieving consensus standards for brain health-focused care. Incorporation into routine clinical practice would drive adoption.

An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis

Multiple sclerosis (MS) is a progressive disease that often affects the cerebellum. It is characterised by demyelination, inflammation, and neurodegeneration within the central nervous system. Damage to the cerebellum in MS is associated with increased disability and decreased quality of life. Symptoms include gait and balance problems, motor speech disorder, upper limb dysfunction, and oculomotor difficulties. Monitoring symptoms is crucial for effective management of MS. A combination of clinical, neuroimaging, and task-based measures is generally used to diagnose and monitor MS. This paper reviews the present and new tools used by clinicians and researchers to assess cerebellar impairment in people with MS (pwMS). It also describes recent advances in digital and home-based monitoring for people with MS.

Racial disparities in hypertension management among multiple sclerosis patients

BACKGROUND

Hypertension adversely impacts the multiple sclerosis (MS) disease course and is more common among Black Americans. Disparities in care due to structural racism may lead to suboptimal hypertension detection and control in Black American MS patients.

OBJECTIVES

To determine if uncontrolled hypertension is more common in Black or White Americans with MS and whether race impacts the likelihood of receiving anti-hypertensive treatment.

METHODS

A retrospective cohort study was conducted using longitudinal data from American participants in the Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) multi-institutional registry. Data was collected from 7 sites in the United States between May 2015 and November 2020. Patients with uncontrolled hypertension, defined as ≥2 blood pressure measurements ≥140/90 mmHg, were identified in the dataset. Racial differences in uncontrolled hypertension and odds of anti-hypertensive treatment were evaluated using logistic regression. Predictors of anti-hypertensive treatment in those with uncontrolled hypertension were determined by race.

RESULTS

The analysis included 10,673 MS patients, of whom 1,442 (13.5%) were Black Americans. Despite a lower mean age (45.7 vs. 49.2 years), Black Americans had a 31% increased odds of uncontrolled hypertension compared to White Americans. After adjustment for relevant covariates, mean systolic blood pressure was 1.84 mmHg (95% confidence interval=1.07-2.61) higher in Black Americans than White Americans, and mean diastolic blood pressure was 1.28 mmHg (95% confidence interval=0.74-1.82) higher. Black Americans were also more likely to be on anti-hypertensive therapy (OR=1.68, 95% confidence interval=1.30-2.18) and were exposed to an adjusted average of 0.61 (95% confidence interval=0.45-0.78) more anti-hypertensive treatments than White Americans (p<0.001). Age, comorbid diabetes mellitus, and comorbid hyperlipidemia were positively associated with use of anti-hypertensive treatments in all patients with uncontrolled hypertension.

CONCLUSION

Black American MS patients have significantly increased odds of uncontrolled hypertension, but also higher odds of receiving anti-hypertensive treatment.

Information processing speed as a prognostic marker of physical impairment and progression in patients with multiple sclerosis

BACKGROUND

Prediction of disability progression in patients with MS (pwMS) is challenging. So far, scarce evidence exists suggesting knowledge about how cognitive performance may potentially improve prediction of physical impairment and disability progression in MS. Therefore, we wanted to assess the prognostic value of cognitive performance regarding physical impairment and disability progression in pwMS.

METHODS

85 patients (64% female; 60% relapse-remitting MS; mean age=36.78 ± 9.63 years) underwent clinical, neuropsychological (Brief Repeatable Battery for Neuropsychological Test (BRB-N)) and brain MRI (T1-weighted and T2-weighted FLAIR images) assessment at baseline and after an average of 7 years (SD=3.75) at follow-up. We assessed physical impairment and annualized disability progression (disability progression divided by follow-up duration) using the Expanded Disability Status Scale (EDSS). To compare patients with no or mild physical impairment (EDSS≤2.5) and patients with moderate to severe physical impairment (EDSS≥3.0), we used an EDSS score ≥3.0 as cut-off. Silent progression was defined by an EDSS worsening of at least 0.5 in the absence of relapses and inflammation in relapsing-remitting MS.

RESULTS

In hierarchical regression models (method "STEPWISE", forward) performance in information processing speed was a significant and independent predictor of physical impairment (EDSS≥3.0) at follow-up (model R²=0.671, b=-1.46, OR=0.23, p=0.001) and annualized disability progression (adjusted model R²=0.257, β=-0.26, 95% CI: -0.066, -0.008, p=0.012), in addition to demographics (age, education, individual follow-up time), clinical (EDSS, disease duration, clinical phenotype, annualized-relapse-rate) and MRI measures (brain volumes and T2-lesion load). In a MANCOVA controlled for age, disease duration and individual follow-up time, worse baseline performance in information processing speed was found in patients with higher EDSS at follow-up (m=-1.91, SD=1.18, p<0.001) and silent progression (m=-2.19, SD=1.01, p=0.038).

CONCLUSION

Performance in information processing speed might help to identify patients at risk for physical impairment. Therefore, neuropsychological assessment should be integrated in clinical standard care to support disease management in pwMS.

Developing a clinical-environmental-genotypic prognostic index for relapsing-onset multiple sclerosis and clinically isolated syndrome

Our inability to reliably predict disease outcomes in multiple sclerosis remains an issue for clinicians and clinical trialists. This study aims to create, from available clinical, genetic and environmental factors; a clinical–environmental–genotypic prognostic index to predict the probability of new relapses and disability worsening. The analyses cohort included prospectively assessed multiple sclerosis cases (N = 253) with 2858 repeated observations measured over 10 years. N = 219 had been diagnosed as relapsing-onset, while N = 34 remained as clinically isolated syndrome by the 10th-year review. Genotype data were available for 199 genetic variants associated with multiple sclerosis risk. Penalized Cox regression models were used to select potential genetic variants and predict risk for relapses and/or worsening of disability. Multivariable Cox regression models with backward elimination were then used to construct clinical–environmental, genetic and clinical–environmental–genotypic prognostic index, respectively. Robust time-course predictions were obtained by Landmarking. To validate our models, Weibull calibration models were used, and the Chi-square statistics, Harrell’s C-index and pseudo-R² were used to compare models. The predictive performance at diagnosis was evaluated using the Kullback–Leibler and Brier (dynamic) prediction error (reduction) curves. The combined index (clinical–environmental–genotypic) predicted a quadratic time-dynamic disease course in terms of worsening (HR = 2.74, CI: 2.00–3.76; pseudo-R²=0.64; C-index = 0.76), relapses (HR = 2.16, CI: 1.74–2.68; pseudo-R² = 0.91; C-index = 0.85), or both (HR = 3.32, CI: 1.88–5.86; pseudo-R² = 0.72; C-index = 0.77). The Kullback–Leibler and Brier curves suggested that for short-term prognosis (≤5 years from diagnosis), the clinical–environmental components of disease were more relevant, whereas the genetic components reduced the prediction errors only in the long-term (≥5 years from diagnosis). The combined components performed slightly better than the individual ones, although their prognostic sensitivities were largely modulated by the clinical–environmental components. We have created a clinical–environmental–genotypic prognostic index using relevant clinical, environmental, and genetic predictors, and obtained robust dynamic predictions for the probability of developing new relapses and worsening of symptoms in multiple sclerosis. Our prognostic index provides reliable information that is relevant for long-term prognostication and may be used as a selection criterion and risk stratification tool for clinical trials. Further work to investigate component interactions is required and to validate the index in independent data sets.

Multiple Sclerosis Wellness Shared Medical Appointment Model: A Pilot Study

Background

Shared medical appointments (SMAs) are group medical visits combining medical care and patient education. We examined the impact of a wellness-focused pilot SMA in a large multiple sclerosis (MS) clinic.

Methods

We reviewed data on all patients who participated in the SMA from January 2016 through June 2019. The following data were collected 12 months pre/post SMA visits: demographics, body mass index, patient-reported outcomes, and health care utilization. Data were compared using the Wilcoxon rank sum test.

Results

Fifty adult patients (mean ± SD age, 50.1 ± 12.3 years) attended at least one MS wellness SMA. Most patients had private insurance (50%), and 26% had Medicaid coverage. The most common comorbidity was depression/anxiety (44%). Pre/post SMA outcomes showed a small but significant reduction in body mass index (30.2 ± 7.3 vs 28.8 ± 7.1, P = .03), and Patient Health Questionnaire-9 scores decreased from 7.3 ± 5.5 to 5.1 ± 5.6 (P = .001). The number of emergency department visits decreased from 13 to two (P = .0005), whereas follow-up visits increased with an attendees' primary care provider from 19 to 41 (P < .001), physical therapist from 15 to 27 (P = .004), and psychologist from six to 19 (P = .003).

Conclusions

This pilot MS wellness SMA was associated with improved physical and psychological outcomes. There was increased, lower-cost health care utilization with reduced acute, high-cost health care utilization, suggesting that SMAs may be a cost-effective and beneficial method in caring for patients with MS.

Impact of Body Mass Index on the Age of Relapsing-Remitting Multiple Sclerosis Onset: A Retrospective Study

A BACKROUND: Multiple sclerosis (MS) is a complex chronic disease of the central nervous system (CNS). Body mass index (BMI), a component of metabolic syndrome (MetS), is considered among the risk factors for MS. However, its role in MS remains ambiguous. OBJECTIVE: To examine the impact of BMI on the age of onset in patients with relapsing-remitting MS (RRMS) in a Greek cohort. METHODS: Data from 821 Greek patients with RRMS were collected. The BMI values were considered as quartiles. Comparisons for the demographic characteristics between the quartiles were made by Pearson’s chi-square test for the categorical variables and by ANOVA for the continuous variables. An overall p-value was calculated corresponding to trend for association. In case of significant association, further post-hoc analysis was performed in order to identify differences in demographic characteristics between specific BMI quartiles groups. Linear regression analyses were used to assess the relationship between BMI and age at onset of MS. RESULTS: Comparisons of participant characteristics by quartiles of BMI revealed that participants with the highest BMI had an older age of disease onset. Results from linear regression analysis showed that with each increase of 1 BMI unit, the age of RRMS onset increases by 0.255 (95% CI 0.136 to 0.374) years, p < 0.001. CONCLUSIONS: Patients with higher BMI, as a parameter of MetS, exhibit increased age of RRMS onset. Our results may present an alternative personalized approach for diagnosis, prognosis, and/or prevention of RRMS.

Associations between smoking and walking, fatigue, depression, and health-related quality of life in persons with multiple sclerosis

Smoking is associated with increased multiple sclerosis (MS) risk. In addition, some studies have reported that smoking is associated with anxiety and depression. However, the associations between smoking, walking, and fatigue are needed to be investigated. The objective was to investigate the associations between cigarette smoking and walking, fatigue, depression symptom severity, and health-related quality of life in persons with MS. Two hundred seventy-nine persons with MS were evaluated in this cross-sectional study. Study outcomes were neurological disability level, walking speed, walking endurance, perceived walking impact of MS, fatigue, depression symptom severity, and health-related quality of life. There were 95 (34.1%) current smokers who had significantly higher fatigue (p = 0.003, pη² = 0.031) and depression (p = 0.044, pη² = 0.015), and lower health-related quality of life (p = 0.003, pη² = 0.031) after adjusting for age, gender, neurological disability level, and disease duration compared to non-smokers (n = 184). There was no significant difference between smokers and non-smokers in walking measures (p > 0.05). Smoking intensity was significantly correlated with age (r = 0.487), neurological disability level (r = 0.227), disease duration (r = 0.30), walking speed (r = 0.574), walking endurance (r =  - 0.461), perceived walking impact of MS (r = 0.684), fatigue (r = 0.370), health-related quality of life (r =  - 0.259), and depression (r = 0.269) in current smokers. Cigarette smokers with MS had significantly more fatigue and depression symptom severity and less health-related quality of life compared to non-smokers. Increased pack-years of cigarette smoking was associated with worse walking ability and health-related quality of life, and greater depression symptom severity and fatigue.

Smoking, obesity, and disability worsening in PPMS: an analysis of the INFORMS original trial dataset

BACKGROUND

Smoking and obesity are recognized modifiable risk factors associated with a higher MS incidence, but their impact on physical and cognitive disability worsening is less clear.

OBJECTIVE

To investigate the impact of smoking and obesity on disability worsening in primary progressive MS (PPMS).

METHODS

We used data from INFORMS (clinicaltrials.gov identifier: NCT00731692), a large randomized-controlled trial in PPMS to compare significant worsening on the EDSS, T25FW, NHPT, and PASAT between smokers and non-smokers, and between BMI groups, at 12, 24, and 33 months of follow-up. We investigated the association of smoking and BMI at screening and the risk of disability worsening with logistic regression models.

RESULTS

Smokers had significantly higher EDSS scores throughout the trial. EDSS was not significantly different between BMI categories. No other outcome measure was significantly different between smokers and non-smokers and between BMI categories throughout the trial. Neither smoking status nor BMI were associated with significant worsening on any outcome measure at any time point during follow-up.

CONCLUSION

Despite the known effects on MS incidence, smoking and BMI were not associated with the risk of physical and cognitive disability worsening over 3 years in this well-characterized PPMS trial cohort.

Characterizing relapsing remitting multiple sclerosis patients burdened with hypertension, hyperlipidemia, and asthma

BACKGROUND

Hypertension, hyperlipidemia, and asthma are common in multiple sclerosis (MS) patients and adversely impact physical and mental health independent of sociodemographic and clinical attributes. Characterizing MS patients with these comorbidities is necessary for informing comorbidity screening and managed care in vulnerable patient subgroups; however, there is sparse data currently available.

METHODS

We conducted cross-sectional analyses of 2,012 relapsing remitting (RR) MS patients. Separate multivariable logistic regression models were conducted for the presence of hypertension, hyperlipidemia, and asthma. Independent variables included age, sex, race, MS duration, body mass index classification, insurance payer, smoking status, median income by residence ZIP code, disease modifying therapies, and the other comorbidities.

RESULTS

Hypertension was more common in RRMS patients who were older, obese/severely obese, had hyperlipidemia, were asthmatics, living in neighborhoods with the lowest income, and who were Black Americans. RRMS patients with hyperlipidemia were more likely to be male, older, overweight/obese/severely obese, hypertensive, asthmatics, and White American. Asthmatic RRMS patients were more likely to be female, obese, hypertensive, and living in neighborhood of medium/low income, and less likely to be on interferons or glatiramer acetate.

CONCLUSION

We identified factors independently associated with common comorbidity burden in RRMS patients, which will inform risk-stratification efforts aimed at mitigating the adverse impact of these conditions in MS patients. Our results are consistent with what is known about the determinants of hypertension, hyperlipidemia, and asthma in the non-MS patient population, and therefore disparities that exist in screening and management in the general U.S. population may likely exist in U.S. MS patients. It is also possible that there may be unique differences in specific MS patient subgroups, which warrants further investigation and detailed characterization.

Socioeconomic status and access to multiple sclerosis treatment in Mexico

INTRODUCTION

Multiple sclerosis (MS) is a chronic neurological autoimmune condition and the leading non-traumatic cause of neurological disability worldwide. Disease-modifying therapies (DMT) directly impact on the long-term prognosis of patients with MS preventing relapses and the associated disability progression. Here, we analyzed the impact of socioeconomic status (SES) on DMT access in Mexican patients.

METHODS

We evaluated the association between SES and DMT access using the MS registry from the National Institute of Neurology and Neurosurgery in Mexico City. We included 974 patients with MS (McDonald 2010 criteria). We categorized SES according to the 2018 Mexican Association of Market Research Agencies (AMAI) SES classification. We analyzed DMT type, MS phenotype, educational level, symptomatic onset to diagnosis, EDSS at arrival, as well as the progression index. Chi-squared and Wilcoxon tests were used, and multivariable analysis performed for DMT access.

RESULTS

When comparing the lower versus higher levels of SES, a significant association was found on the percentage of patients with higher levels of disability (EDSS >6) at arrival, the proportion of patients not receiving any DMT and a higher proportion of secondary progressive MS (p=0.006, p<0.001and p=0.004, respectively). We also found that lower educational levels had a significance and inverse association with EDSS on first visit (p=0.019), symptomatic onset to diagnosis (p<0.001) and a higher disability status at arrival (EDSS >6, p=0.010).

CONCLUSIONS

Our study suggests that SES is an important factor determining not only prompt but overall access to highly effective DMT. Lower SES are associated with greater levels of disability at the first clinic visit and a higher proportion of patients not receiving DMT up to 12 months of follow-up.

Age of hypertension onset in multiple sclerosis patients

BACKGROUND/OBJECTIVE

Hypertension (HTN) is common in multiple sclerosis (MS), and it is associated with poorer outcomes. We sought to characterize HTN age at onset (AAO) by MS status.

METHODS/RESULTS

There were 130,050 incident HTN patients, among whom there were 892 MS patients. We conducted multivariable linear regression adjusting for patient attributes. Sex- and race-stratified models were conducted. HTN AAO did not differ in patients with and without MS (p = 0.17). Similar null associations were observed in the sex- and race-specific analyses.

CONCLUSION

While there are complex relationships between HTN and MS, there are no differences in HTN AAO by MS status.

Integrating patient-reported outcomes and quantitative timed tasks to identify relapsing remitting multiple sclerosis patient subgroups: a latent profile analysis

BACKGROUND

Multiple sclerosis (MS) patients experience wide-ranging symptoms with varied severity, and approaches that integrate patient-reported outcomes and objective quantitative measures will present opportunities for advancing clinical profiling. The primary objective of the current study was to conduct exploratory data analysis using latent variable modeling to empirically identify clusters of relapsing remitting (RR) MS patients with shared impairment patterns across three patient-reported outcomes and two timed task measures.

METHODS

Latent profile analyses and impairment data for 2,012 RRMS patients identified distinct patient clusters using timed task measures of upper and lower limb performance, and patient-reported outcomes measuring quality of life, depression symptom severity, and perceived global disability. Multinomial logistic regression models were used to characterize associations between socio-demographic attributes and assignment to the patient clusters.

RESULTS

There were 6 distinct clusters of RRMS patients that differed by symptom patterns, and by their socio-demographic attributes. Most notable were were no differences in age, sex, or disease duration between the least and most impaired classes, representing 14% and 4% of patients, respectively. Patients in the most impaired class were much more likely to be Black American, have a history of smoking, have a higher body mass index, and be of lower socioeconomic status than the least impaired class. There were positive relationships between age and classification to clusters of increasing moderately severe impairment but not the most severe clusters.

CONCLUSION

We present a framework for discerning phenotypic impairment clusters in RRMS. The results demonstrate opportunities for advancing clinical profiling, which is necessary for optimizing personalized MS care models and clinical research.

Predicting disability worsening in relapsing and progressive multiple sclerosis

PURPOSE OF REVIEW

Multiple sclerosis (MS) is a clinically heterogeneous disease, which complicates expectant management as well as treatment decisions. This review provides an overview of both well established and emerging predictors of disability worsening, including clinical factors, imaging factors, biomarkers and treatment strategies.

RECENT FINDINGS

In addition to well known clinical predictors (age, male sex, clinical presentation, relapse behaviour), smoking, obesity, vascular and psychiatric comorbidities are associated with subsequent disability worsening in persons with MS. A number of imaging features are predictive of disability worsening and are present to varying degrees in relapsing and progressive forms of MS. These include brain volumes, spinal cord atrophy, lesion volumes and optical coherence tomography features. Cerebrospinal and more recently blood biomarkers including neurofilament light show promise as more easily attainable biomarkers of future disability accumulation. Importantly, recent observational studies suggest that initiation of early-intensive therapy, as opposed to escalation based on breakthrough disease, is associated with decreased accumulation of disability overall, although randomized controlled trials investigating this question are underway.

SUMMARY

Understanding risk factors associated with disability progression can help to both counsel patients and enhance the clinician's availability to provide evidence-based treatment recommendations.

Machine Learning Use for Prognostic Purposes in Multiple Sclerosis

The course of multiple sclerosis begins with a relapsing-remitting phase, which evolves into a secondarily progressive form over an extremely variable period, depending on many factors, each with a subtle influence. To date, no prognostic factors or risk score have been validated to predict disease course in single individuals. This is increasingly frustrating, since several treatments can prevent relapses and slow progression, even for a long time, although the possible adverse effects are relevant, in particular for the more effective drugs. An early prediction of disease course would allow differentiation of the treatment based on the expected aggressiveness of the disease, reserving high-impact therapies for patients at greater risk. To increase prognostic capacity, approaches based on machine learning (ML) algorithms are being attempted, given the failure of other approaches. Here we review recent studies that have used clinical data, alone or with other types of data, to derive prognostic models. Several algorithms that have been used and compared are described. Although no study has proposed a clinically usable model, knowledge is building up and in the future strong tools are likely to emerge.

E-health and multiple sclerosis

PURPOSE OF REVIEW

To outline recent applications of e-health data and digital tools for improving the care and management of healthcare for people with multiple sclerosis.

RECENT FINDINGS

The digitization of most clinical data, along with developments in communication technologies, miniaturization of sensors and computational advances are enabling aggregation and clinically meaningful analyses of real-world data from patient registries, digital patient-reported outcomes and electronic health records (EHR). These data are allowing more confident descriptions of prognoses for multiple sclerosis patients and the long-term relative benefits and safety of disease-modifying treatments (DMT). Registries allow detailed, multiple sclerosis-specific data to be shared between clinicians more easily, provide data needed to improve the impact of DMT and, with EHR, characterize clinically relevant interactions between multiple sclerosis and other diseases. Wearable sensors provide continuous, long-term measures of performance dynamics in relevant ecological settings. In conjunction with telemedicine and online apps, they promise a major expansion of the scope for patients to manage aspects of their own care. Advances in disease understanding, decision support and self-management using these Big Data are being accelerated by machine learning and artificial intelligence.

SUMMARY

Both health professionals and patients can employ e-health approaches and tools for development of a more patient-centred learning health system.

Defining the Expanding Clinical Spectrum of Pediatric-Onset Stiff Person Syndrome

BACKGROUND

We aimed to characterize the spectrum of clinical features and examination findings in pediatric-onset stiff person syndrome.

METHODS

Medical records were reviewed for all patients treated for stiff person syndrome with symptom onset in childhood at a tertiary medical center between March 2001 and February 2019.

RESULTS

Of the 15 individuals who met inclusion criteria, 11 (73%) were female and 13 (87%) were Caucasian. Median age at symptom onset was 14.8 years (range 8.4 to 16.9), and median latency from symptom onset to diagnosis was 6.2 years (range 0.4 to 15.0). Nine individuals (60%) were not diagnosed until adulthood. The most common presenting features were painful spasms (n = 12, 80%), hyper-reflexia (n = 11, 73%), axial rigidity (n = =9, 60%), lower extremity rigidity or spasticity (n = 8, 53%), gait abnormalities (n = 6, 40%), and hyperlordosis (n = 6, 40%). Other noted features included anxiety (n = 5, 33%), dysautonomia (n = 3, 20%), and cranial neuropathies (n = 3, 20%). Personal (n = 9, 60%) and family history (n = 9, 60%) of autoimmune conditions was common. Serum antiglutamate decarboxylase 65 antibodies were found in 13 individuals (87%). Nearly all individuals received immunotherapy (n = 14, 93%), symptomatic medications (n = 15, 100%), and nonpharmacologic therapies (n = 14, 93%). However, most had persistent physical limitations, particularly impaired walking (n = 7, 47%) and inability to carry out previous activities (n = 14, 93%).

CONCLUSIONS

There is a wide spectrum of typical and less common features seen in individuals with pediatric-onset stiff person syndrome. Despite symptom onset in childhood, diagnosis is often delayed until adulthood, at which point disability accrual is frequently seen. Early recognition is vital to address symptoms and may potentially limit future disability.

The prevalence of hypertension in multiple sclerosis based on 37 million electronic health records from the United States

BACKGROUND AND PURPOSE

Hypertension (HTN) is a common comorbidity in multiple sclerosis (MS), and it significantly contributes to adverse outcomes. Unfortunately, the distribution of HTN in persons with MS has not been well characterized, and prior estimates have primarily relied on modest sample sizes. The objective of this study was to robustly describe the distribution of HTN in the MS population in comparison to the non-MS population with considerations for age, sex, and race. To date, this is the largest investigation of its kind.

METHODS

We conducted a cross-sectional study of 37 million unique electronic health records available in the IBM Explorys Enterprise Performance Management: Explore database (Explorys) spanning the United States. This resource has previously been validated for use in MS. We evaluated the prevalence of HTN in MS (N = 122 660) and non-MS (N = 37 075 350) cohorts, stratifying by age, sex, and race.

RESULTS

The prevalence of HTN was significantly greater among those with MS than among those without MS across age, sex, and race subpopulations, even after adjusting for age and sex. HTN was 25% more common in MS. In both MS and non-MS cohorts, the prevalence of HTN progressively increased with age and was higher in Black Americans and in males.

DISCUSSION

This study demonstrated that HTN is significantly more common in the MS population compared to the non-MS population, irrespective of sex and race. Because HTN is the leading global risk factor for disability and death, these results emphasize the need for aggressive screening for, and management of, HTN in the MS population.

Impact of chemerin, lipid profile, and insulin resistance on disease parameters in patients with multiple sclerosis

INTRODUCTION

Plasma chemerin, which has chemotactic and adipogenic functions, is increased in several inflammatory diseases. However, its relationship with multiple sclerosis (MS) has not been explored yet. In this study, we aimed to determine chemerin levels and their possible role in MS.

METHODS

Chemerin serum concentrations were evaluated by using ELISA kit in 91 clinically definite MS patients and 52 healthy controls. The mean serum chemerin, insulin, and cholesterol levels were compared. Patients were divided into two groups according to the body mass index (BMI), and the relationships between clinical and metabolic parameters were evaluated.

RESULTS

Serum chemerin levels were 10.46 ± 1.65 ng/mL in MS patients and 10.26 ± 2.14 ng/mL in the control group. No significant difference was found between patients and controls (p = 0.55). We found no difference regarding age, gender, and BMI between two groups (p = 0.053, p = 0.54, p = 0.41). However, female patients with MS had higher chemerin levels than male patients. There were no associations between serum chemerin levels and EDSS score, annualized relapse rate, BMI, insulin resistance, and serum cholesterol levels in MS patients.

CONCLUSION

In this study, we aimed to determine serum chemerin levels in patients with MS. However, in our study, there was no significant difference between serum chemerin levels of MS patients and healthy controls'. Additionally, chemerin levels were not associated with other metabolic parameters, as well as cognitive dysfunction. Further studies are needed to evaluate the role of chemerin in MS patients.

Mobility performance predicts incident depression: A systematic review and meta-analysis

Impaired mobility often co-occurs with depression. However, there is no systematic review evidence as to whether mobility impairments precede the onset of depression. The objective of this systematic review and meta-analysis was to evaluate whether mobility impairment could predict incident depression. A systematic search of cohort studies were performed in MEDLINE, EMBASE, CINAHL and PsycINFO. The target population was people with no depressive symptoms at baseline and follow-up for depression or depressive symptoms of at least three months. Of 1061 identified abstracts, 13 studies met the review eligibility criteria. The majority of included studies (8 out of 13) were of high methodological quality. Follow-up periods ranged from 12 months to 16 years. Gait speed was the most consistently reported mobility measure. Participants with slow gait speed were at higher risk of developing depressive symptoms (pooled OR = 1.93, 95%CI: 1.54 to 2.42, 11 studies). This review shows that slow gait speed is predictive of the onset of depressive symptoms. Systematic review registration number: CRD42020153791.

Cognitive Event-Related Potentials-The P300 Wave Is a Prognostic Factor of Long-Term Disability Progression in Patients With Multiple Sclerosis

PURPOSE

Multiple sclerosis (MS) is a chronic disorder with a variable course. The aim of our study was to find out whether cognitive event-related potentials are prognostic for patient disability at the 15-year follow-up.

METHODS

In the observed cohort of patients with MS, we examined the event-related potentials at baseline (2003). Functional status (Expanded Disability Status Scale score) was then assessed 15 years later, and the prognostic model was developed using binary logistic regression analysis. The independent variables included demographic (age, sex, and education), clinical (disability in 2003), radiologic (MRI lesion load), and event-related potentials parameters. The prognostic accuracy of the proposed model was evaluated by calculating the area under the receiver-operating characteristics curve.

RESULTS

The study sample consisted of 85 patients with MS. The mean age was 35.5 (SD, 11.2) years, and the median disability score was 3.0 (1-7) in 2003 and 5.0 (1.5-9.5) in 2018. The significant prognostic factors of poor Expanded Disability Status Scale are higher baseline Expanded Disability Status Scale, longer MS duration, and prolonged P300 latency. The sensitivity and specificity of the cutoff at 5.0 for the disability score were 94% and 89%, respectively, with the area under the receiver-operating characteristics curve 0.94 (95% confidence interval, 0.889-0.984; P < 0.001).

CONCLUSIONS

The results show that out of event-related potentials, the P300 wave latency is a prognostic of long-term disability progression in patients with MS.

Metabolic syndrome components and disease disability in egyptian multiple sclerosis patients

BACKGROUND

There is limited and inconsistent data on metabolic syndrome (MetS) in multiple sclerosis (MS) patients. The aim of this study was to estimate the frequency of MetS and its components in MS patients and to evaluate their association with disease disability in Egyptian MS patients.

METHODS

A cross-section study was carried out on 60 patients (19 males and 41 females) with relapsing remitting MS. All patients were subjected to full general and neurological examination, laboratory and radiological investigations. Assessment of disease disability was performed using Expanded Disability Status Scale (EDSS) and MetS was diagnosed according to National Cholesterol Education Program Adult Treatment Panel Ш (NCEP-ATP III).

RESULTS

The frequency of MetS in MS patients was 36.7%. Our findings show that 53.3% of MS patients had abdominal obesity, 21.7% had hypertension, 38.3% had diabetes mellitus, 43.3% had elevated triglycerides level and 56.7% had dyslipidemia. Linear regression analysis revealed that body mass index (BMI), dyslipidemia, current medication and disease duration were significantly associated with disease disability.

CONCLUSION

High frequency of MetS and its component was observed in MS patients. Disease duration and current medication as well as some MetS component such as BMI, dyslipidemia, were significantly associated with disability in MS patients.

Predicting self-reported depression after the onset of multiple sclerosis using genetic and non-genetic factors

BACKGROUND

Persons with multiple sclerosis (PwMS) are disproportionately burdened by depression compared to the general population. While several factors associated with depression and depression severity in PwMS have been identified, a prediction model for depression risk has not been developed. In addition, it is unknown if depression-related genetic variants, including Apolipoprotein E (APOE), would be informative for predicting depression in PwMS.

OBJECTIVE

To develop a depression prediction model for PwMS who did not have a history of depression prior MS onset.

METHODS

The study population included 917 non-Hispanic white PwMS. An optimized multivariable Cox proportional hazards model for time to depression was generated using non-genetic variables, to which APOE and a depression-related genetic risk score were included.

RESULTS

Having a mother who had a history of depression, having obstructive pulmonary disease, obesity and other physical disorders at MS onset, and affect-related symptoms at MS onset predicted depression risk (hazards ratios (HRs): 1.6-2.3). Genetic variables improved the prediction model's performance. APOE ε4/ε4 and ε2/x conferred increased (HR = 2.5, p = 0.026) and decreased (HR = 0.65, p = 0.046) depression risk, respectively.

CONCLUSION

We present a prediction model aligned with The Precision Medicine Initiative, which integrates genetic and non-genetic predictors to inform depression risk stratification after MS onset.

Predicting onset of secondary-progressive multiple sclerosis using genetic and non-genetic factors

BACKGROUND

Predicting the transition from relapsing-remitting (RR) to secondary-progressive (SP) multiple sclerosis (MS) from early in the disease course is challenging.

OBJECTIVE

To construct prediction models for SPMS using sociodemographic and self-reported clinical measures that would be available at/near MS onset, with specific considerations for MS genetic risk factors.

METHODS

We conducted a retrospective cross-sectional study based on 1295 white, non-Hispanic individuals. Cox proportional hazard prediction models were generated for three censored SPMS outcomes (ever transitioning, transitioning within 10 years, and transitioning within 20 years) using sociodemographic, comorbid health information, symptomatology, and other measures of early disease activity. HLADRB1*15:01 and HLA-A*02:01, as well as a genetic risk score, were iteratively considered in each model. We also explored the relationships for all 200 MS risk variants located outside the major histocompatibility complex. Nomograms were generated for the final prediction models.

RESULTS

An older age of MS onset and being male predicted a short latency to SPMS, while a longer interval between the first two relapses predicted a much longer latency. Comorbid conditions and onset symptomatology variably predicted the risk for transitioning to SPMS for each censored outcome. The most notable observation was that HLA-A*02:01, which confers decreased risk for MS, also contributed to decreased hazards for SPMS.

CONCLUSIONS

These results have the potential to advance prognostication for a person with MS using information available at or near onset, potentially improving care and quality of life for those who live with MS.

Association of body mass index with longitudinal rates of retinal atrophy in multiple sclerosis

BACKGROUND

Studies evaluating associations between body mass index (BMI) and optical coherence tomography (OCT) measures in multiple sclerosis (MS) are lacking.

OBJECTIVE

To assess whether elevated BMI is associated with accelerated retinal atrophy.

METHODS

In this observational study, 513 MS patients were followed with serial spectral-domain OCT for a median of 4.4 years. Participants were categorized as normal weight (BMI: 18.5-24.9 kg/m²), overweight (BMI: 25-29.9 kg/m²), and obese (BMI: ⩾30 kg/m²). Participants with diabetes mellitus or uncontrolled hypertension and eyes with optic neuritis (ON) ⩽6 months prior to baseline OCT or during follow-up were excluded. Statistical analyses were performed with mixed-effects linear regression.

RESULTS

Obese patients (n = 146) exhibited accelerated rates of ganglion cell + inner plexiform layer (GCIPL) atrophy relative to normal weight patients (n = 214; -0.57%/year (95% confidence interval (CI): -0.65% to -0.48%) versus -0.42%/year (95% CI: -0.49% to -0.35%); p = 0.012). GCIPL atrophy rate did not differ between overweight (n = 153) and normal weight patients (-0.47%/year vs -0.42%/year; p = 0.41). Each 1 kg/m² higher BMI was associated with accelerated GCIPL (-0.011%/year; 95% CI: -0.019% to -0.004%; p = 0.003) atrophy. Multivariable analyses accounting for age, sex, race, MS subtype, and ON history did not alter the above findings.

CONCLUSIONS

Elevated BMI, in the absence of overt metabolic comorbidities, may be associated with accelerated GCIPL atrophy. Obesity, a modifiable risk factor, may be associated with accelerated neurodegeneration in MS.