Faculty Bibliography

Pediatric multiple sclerosis is associated with challenges in prompt diagnosis and uncertainty regarding optimal treatment. This review aimed to identify treatment guidelines or consensus statements for pediatric patients with multiple sclerosis, US Food and Drug Administration (FDA)-approved treatment options for pediatric multiple sclerosis, and any randomized controlled trials and observational studies examining available pharmacologic treatments in the pediatric multiple sclerosis population. Literature searches were performed in MEDLINE (1946-2016), EMBASE (1974-2016), and the Cochrane Central Register of Controlled Trials to identify treatment guidelines or consensus statements, pediatric multiple sclerosis treatment approvals, and randomized controlled trials and observation studies that examine the safety and effectiveness of available disease-modifying therapies. Only 3 consensus statements provided recommendations for pharmacologic treatments for children, all 3 published before the most recent revisions of the pediatric multiple sclerosis diagnostic guidelines. Despite the changes to the clinical landscape of pediatric multiple sclerosis with the introduction of diagnostic guidelines, fingolimod is the only FDA-approved treatment for pediatric multiple sclerosis in the United States. The effectiveness and safety of other disease-modifying therapies suggested by consensus statements have been reported in relatively small prospective and retrospective observational studies. Clinical evidence from a recently completed randomized controlled trial and future global registries can inform treatment decisions for the pediatric multiple sclerosis population.

Background: Adult MS research has identified an increased prevalence of various autoimmune conditions among family members of diagnosed patients. There has not been comparable studies of pediatric MS populations, while this cohort may represent a unique population from a risk factors perspective.
Objective(s): This study was undertaken to quantify the incidence of autoimmune conditions among first and second degree relatives of pediatric MS patients as compared to controls. The study sought to quantify both the rate, type and patterns of diagnoses seen throughout family members of pediatric MS patients.
Method(s): A multi center case-control study of risk factors for pediatric MS has been ongoing for since 2011. Pediatric patients with a diagnosis of MS and pediatric controls were recruited to provide data and biologic specimens for a number of research projects. Included in this effort was the acquisition of family history questionnaires. The medical data from these questionnaires were analyzed for the presence of certain medical diagnoses among first and second degree relatives. Logistic regression models were used to test for differences between cases and controls in reporting a family history of autoimmune diseases, when adjusting for sex, race, age, ethnicity, and mother's education level. Odds ratios and 95% confidence intervals were calculated based on the logistic regression models.
Result(s): Several conditions were found to have statistically significant differences in prevalence among first and second degree family members of MS patients as compared to controls. Diabetes, thyroid disorders and rheumatoid arthritis has the most notable differences between patients and controls while eczema and psoriasis were not different. The odds ratio of any family history of autoimmune disease was 2.27 among cases compared to controls. The odds ratio of an autoimmune disease among family members was significantly higher among paternal relatives as compared to maternal relatives (eg OR of 6.37 compared to 2.64).
Conclusion(s): This study has identified an increased prevalence of certain autoimmune disorders among first and second degree family members of pediatric MS patients. This aligns with prior findings among adult populations that found higher rates of autoimmune disorders among family members of adult onset MS patients. Novel to this study was the difference in relative risk of autoimmune conditions occurring in paternal versus maternal family members

OBJECTIVE/UNASSIGNED:The aim of this study was to determine whether a vitamin D genetic risk score (vitDGRS) is associated with 25-hydroxyvitamin D (25(OH)D) level and multiple sclerosis (MS) relapses in children. METHODS/UNASSIGNED:DNA samples were typed for single nucleotide polymorphisms (SNPs) from four genes previously identified to be associated with 25(OH)D levels. SNPs with strong associations with 25(OH)D after multiple comparison correction were used to create a genetic risk score (vitDGRS). Cox regression models tested associations of vitDGRS with relapse hazard. RESULTS/UNASSIGNED:Two independent SNPs within or near GC and NADSYN1/DHCR7 genes were strongly associated with 25(OH)D levels in the discovery cohort ( n = 182) after Bonferroni correction. The vitDGRS of these SNPs explained 4.5% of the variance of 25(OH)D level after adjustment for genetic ancestry. Having the highest versus lowest vitDGRS was associated with 11 ng/mL lower 25(OH)D level (95% confidence interval (CI) = -17.5, -4.5, p = 0.001) in the discovery cohort. Adjusting for ancestry, sex, disease-modifying therapy (DMT), and HLA-DRB1*15 carrier status, the highest versus lowest vitDGRS was associated with 2.6-fold (95% CI = 1.37, 5.03, p = 0.004) and 2.0-fold (95% CI = 0.75, 5.20, p = 0.16) higher relapse hazard in the discovery and replication cohorts, respectively. CONCLUSION/UNASSIGNED:The vitDGRS identifies children at greater risk of relapse. These findings support a causal role for vitamin D in MS course.

INTRODUCTION/BACKGROUND:In the clinic, the assessment of patients with multiple sclerosis (MS) is typically qualitative and non-standardized. OBJECTIVES/OBJECTIVE:2 (Apple, Cupertino, CA, USA)-based neurological assessment platform allowing patients to input relevant information without the aid of a medical technician, creating a longitudinal, clinically meaningful, digital medical record. To report results from human factor (HF) and usability studies, and the initial large-scale implementation in a practice setting. METHODS:The HF study examined use-error patterns in small groups of MS patients and healthy controls (n = 14), the usability study assessed the effectiveness of patient interaction with the tool by patients with a range of MS disability (n = 60) in a clinical setting, and the implementation study deployed the MSPT across a diverse population of patients (n = 1000) in a large MS center for routine clinical care. RESULTS:MSPT assessments were completed by all users in the HF study; minor changes to design were recommended. In the usability study, 73% of patients with MS completed the MSPT, with an average administration time of 32 min; 85% described their experience with the tool as satisfactory. In the initial implementation for routine care, 84% of patients with MS completed the MSPT, with an average administration time of 28 min. CONCLUSION/CONCLUSIONS:Patients with MS with varying disability levels completed the MSPT with minimal or no supervision, resulting in comprehensive, efficient, standardized, quantitative, clinically meaningful data collection as part of routine medical care, thus allowing for large-scale, real-world evidence generation. FUNDING/BACKGROUND:Biogen. TRIAL REGISTRATION/BACKGROUND:NCT02664324.

OBJECTIVE:The impetus for this consensus discussion was to recommend clinical trial designs that can deliver high-quality data for effective therapies for pediatric patients, in a reasonable timeframe, with a key focus on short- and long-term safety. METHODS:The International Pediatric Multiple Sclerosis Study Group convened a meeting of experts to review the advances in the understanding of pediatric-onset multiple sclerosis (MS) and the advent of clinical trials for this population. RESULTS:In the last few years, convincing evidence has emerged that the biological processes involved in MS are largely shared across the age span. As such, treatments proven efficacious for the care of adults with MS have a biological rationale for use in pediatric MS given the relapsing-remitting course at onset and high relapse frequency. There are also ethical considerations on conducting clinical trials in this age group including the use of placebo owing to highly active disease. It is imperative to reconsider study design and implementation based on what information is needed. Are studies needed for efficacy or should safety be the primary goal? Further, there have been major recruitment challenges in recently completed and ongoing pediatric MS trials. Phase 3 trials for every newly approved therapy for adult MS in the pediatric MS population are simply not feasible. CONCLUSIONS:A primary goal is to ensure high-quality evidence-based treatment for children and adolescents with MS, which will improve our understanding of the safety of these agents and remove regulatory or insurance-based limitations in access to treatment.

BACKGROUND:Fatigue is one of the most commonly experienced symptoms in multiple sclerosis (MS). The neural correlates of fatigue in MS, in general and specifically in early onset, remain poorly understood. This study employed resting-state fMRI (rsfMRI) to investigate the functional connectivity of fatigue in MS patients with early age onset. METHODS:Twenty-seven relapsing-remitting MS patients (20 ± 7yo at the age of diagnosis and 26.0 ± 5.5yo at the time of study) were recruited and 22 patients were studied. Structural and rsfMRI sequences were performed on a 3-Tesla Seimens MRI scanner. Seed-based analysis was performed using CONN Functional Connectivity Toolbox for Statistic Parametric Mapping. The Fatigue Severity Scale (FSS) and the Modified Fatigue Impact scale (MFIS) as well as EDSS, Beck Depression Inventory, and symptomatology were measured. Non-fatigued (N = 12) and fatigued patients (N = 10) were separated based on FSS scores, with a score of 5 or greater being classified as fatigued. Group differences in rsfMRI between non-fatigued and fatigued patients were analyzed. Correlations between these functional connectivity differences and behavioral fatigue scores were also analyzed. RESULTS: = 0.402, p = 0.006). Correlations remained significant after accounting for depression scores. CONCLUSIONS:rsfMRI identified Alterations in two distinct connections (the connectivity between insula and posterior cingulate gyrus and between the right thalamus and right precentral gyrus) that differed between fatigued and non-fatigued patients, as well as correlated with cognitive fatigue severity. These findings suggest that disruption of sensorimotor, high-order motor, and non-motor executive function likely contributes to the neural mechanism of fatigue in MS. Knowledge of the neural mechanisms of underlying MS fatigue could inform more effective treatment strategies.