Association of oral disease-modifying agents and their adherence trajectories with annual relapses in multiple sclerosis.

BACKGROUND: Real-world effectiveness can vary across oral disease-modifying agents (DMAs) and their adherence trajectories in patients with multiple sclerosis (MS). However, previous studies have not considered longitudinal adherence patterns while evaluating oral DMAs. OBJECTIVES: This study aimed to evaluate the association of oral DMAs and their adherence trajectories with annualized relapse rate (ARR) in patients with MS. METHODS: This retrospective observational cohort study based on the 2015-2019 MarketScan Commercial Claims and Encounters Database involved continuous enrolled adults (18-64 years) with ≥1 MS diagnosis (ICD-9/10-CM:340/G35) and ≥ 1 oral DMA prescription. Patients were grouped into incident fingolimod (FIN), teriflunomide (TER), and dimethyl fumarate (DMF) users based on the index DMA with a one-year washout period. Annual DMA adherence trajectories based on the monthly Proportion of Days Covered (PDC) one year after treatment initiation were identified using Group-Based Trajectory Modeling (GBTM). The validated claims-based ARR was evaluated during the one-year follow-up period using generalized boosted model-based inverse probability treatment weights with negative binomial regression model. RESULTS: The study cohort consisted of 994 MS patients who initiated with FIN (23.0%), TER (22.3%), and DMF (54.7%) during the study period. GBTM grouped eligible patients into three adherence trajectories: complete adherers (59.2%), slow decliners (23.8%), and rapid decliners (17.0%). The proportion of complete adherers varied across the oral DMAs (FIN: 67.1%, TER: 55.4%, and DMF: 57.4%). The negative binomial regression modeling revealed that, while there was no difference in ARR across the three DMAs, rapid decliners (adjusted incidence rate ratio[aIRR]: 1.6, 95% CI: 1.1-2.4) had a higher rate of relapses compared to completely adherent patients. The type of oral DMAs did not moderate the relationship between ARR and the adherence trajectory groups. CONCLUSIONS: Adherence trajectories classified as rapid decliners were associated with a higher ARR than complete adherers after adjusting for their type of oral DMAs. Longitudinal medication adherence patterns are critical in reducing relapse rates in MS.

Frequency, characteristics, predictors and treatment of relapsing myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD).

BACKGROUND: Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) may have a monophasic or relapsing disease course. To date, factors that may predict a relapsing disease course remain largely unknown and only limited data exist regarding the efficacy of different utilized immunotherapy regimens at preventing or reducing relapses. OBJECTIVES: To assess the characteristics, predictors, and immunotherapy of relapsing MOGAD. METHODS: This multicenter retrospective analysis included all MOGAD cases at the University of Florida, Baylor College of Medicine and the University of California San Diego with minimum follow-up time of 6 months. Cox proportional hazards regression analyses, corrected for age and sex, were performed to evaluate hazard ratios (HR) of predictors of a relapsing disease course and to compare relapse hazards for utilized immunotherapies. RESULTS: The majority of included participants (51/79 [64.6 %]) had a relapsing course, and of these individuals, 68.6 % (35/51) experienced their first relapse within the first year. However, 10/51 (19.6 %) participants experienced their first relapse ≥5 years (5-15 years) after the initial presentation. Predictors of a relapsing course were CSF pleocytosis (>150 cells/mm3; HR 3.3 [1.18 - 9.24]; p = 0.023), a pediatric disease onset at age < 9 years (HR 2.69 [1.07-6.75]; p = 0.035), and an initial presentation with the clinical syndrome of meningoencephalitis (HR 3.42 [1.28 - 9.17]; p = 0.015),. In participants with a relapsing course, 13/24 (54.2 %) patients remained relapse-free on rituximab, 4/8 (50 %) on mycophenolate mofetil, and 11/14 (78.6 %) on scheduled immunoglobulins. Patients treated with immunoglobulins had significantly fewer relapses compared to patients treated with other immunotherapies (HR: 0.1 [0.2 - 0.63]; p = 0.014). CONCLUSIONS: In our cohort, the majority of MOGAD patients relapsed. The initial relapse occurred most frequently within the first year, but first relapses also took place over a decade after the initial presentation. Prepubertal onset, severe CSF pleocytosis, and the clinical syndrome of meningoencephalitis may be predictors of a relapsing course. Of the currently available off-label steroid-sparing treatments, scheduled immunoglobulins may be the most effective in relapse prevention.

Immunopathogenesis, Diagnosis, and Treatment of Multiple Sclerosis: A Clinical Update.

Multiple sclerosis (MS) is the most prevalent nontraumatic disabling neurologic condition among young adults worldwide. The diagnosis and management of MS is complex. The goal of this review is to provide an updated and practical approach to the diagnosis and treatment approaches in MS, emphasizing current understanding of immunopathogenesis, recent advances, and future directions, for both MS and non-MS clinicians.

Assessing treatment switch among patients with multiple sclerosis: A machine learning approach.

Background: Patients with multiple sclerosis (MS) frequently switch their Disease-Modifying Agents (DMA) for effectiveness and safety concerns. This study aimed to develop and compare the random forest (RF) machine learning (ML) model with the logistic regression (LR) model for predicting DMA switching among MS patients. Methods: This retrospective longitudinal study used the TriNetX data from a federated electronic medical records (EMR) network. Between September 2010 and May 2017, adults (aged ≥18) MS patients with ≥1 DMA prescription were identified, and the earliest DMA date was assigned as the index date. Patients prescribed any DMAs different from their index DMAs were considered as treatment switch. . The RF and LR models were built with 72 baseline characteristics and trained with 70% of the randomly split data after up-sampling. Area Under the Curves (AUC), accuracy, recall, G-measure, and F-1 score were used to evaluate the model performance. Results: In this study, 7258 MS patients with ≥1 DMA were identified. Within two years, 16% of MS patients switched to a different DMA. The RF model obtained significantly better discrimination than the LR model (AUC = 0.65 vs. 0.63, p < 0.0001); however, the RF model had a similar predictive performance to the LR model with respect to F- and G-measures (RF: 72% and 73% vs. LR: 72% and 73%, respectively). The most influential features identified from the RF model were age, type of index medication, and year of index. Conclusions: Compared to the LR model, RF performed better in predicting DMA switch in MS patients based on AUC measures; however, judged by F- and G-measures, the RF model performed similarly to LR. Further research is needed to understand the role of ML techniques in predicting treatment outcomes for the decision-making process to achieve optimal treatment goals.

Health Disparities in Multiple Sclerosis among Hispanic and Black Populations in the United States.

Multiple sclerosis (MS) is an acquired demyelinating disease of the central nervous system (CNS). Historically, research on MS has focused on White persons with MS. This preponderance of representation has important possible implications for minority populations with MS, from developing effective therapeutic agents to understanding the role of unique constellations of social determinants of health. A growing body of literature involving persons of historically underrepresented races and ethnicities in the field of multiple sclerosis is assembling. Our purpose in this narrative review is to highlight two populations in the United States: Black and Hispanic persons with multiple sclerosis. We will review the current understanding about the patterns of disease presentation, genetic considerations, response to treatment, roles of social determinants of health, and healthcare utilization. In addition, we explore future directions of inquiry as well as practical methods of meeting these challenges.

Comparative adherence trajectories of oral disease-modifying agents in multiple sclerosis.

STUDY OBJECTIVE: This study compared the adherence trajectories of fingolimod (FIN), teriflunomide (TER), and dimethyl fumarate (DMF) users with multiple sclerosis (MS) as there is limited evidence regarding the comparative adherence patterns of different oral disease-modifying agents (DMAs). DESIGN: A retrospective cohort study DATA SOURCE: 2015-2019 IBM MarketScan Commercial Claims Database. PATIENTS: Adults (≥18 years) with MS (International Classification of Diseases [ICD]-9/10-Clinical Modification [CM]:340/G35) diagnosis and ≥1 DMA prescription. INTERVENTION: Incident FIN-, TER-, or DMF use based on the index DMA with 1 year of washout period. MEASUREMENTS: The DMA adherence trajectories based on the proportion of days covered (PDC) were examined using the Group-Based Trajectory Modeling (GBTM) one year after the treatment initiation. Generalized boosting models (GBM)-based inverse probability treatment weights (IPTW) were incorporated in multinomial logistic regression to assess the comparative adherence trajectories across oral DMAs with FIN group as a reference category. MEASUREMENTS AND MAIN RESULTS: The study cohort consisted of 1913 patients with MS who were initiated with FIN (24.2%, n = 462), TER (24.0%, n = 458), and DMF (51.9%, n = 993) during 2016-2018. The adherence rate (PDC ≥ 0.8) among FIN, TER, and DMF users was found to be 70.8% (n = 327), 59.6% (n = 273), and 61.0% (n = 606), respectively. The GBTM grouped patients into three adherence trajectories: Complete Adherers-59.1%, Slow Decliners-22.6%, and Rapid Discontinuers-18.3%. The multinomial logistic regression model involving GBM-based IPTW revealed that DMF (adjusted odds ratio [aOR]: 2.32, 95% confidence interval [CI]:1.57-3.42) and TER (aOR: 2.50, 95% CI: 1.62-3.88) users had higher odds to be rapid discontinuers relative to FIN users. In addition, TER users were more likely (aOR: 1.50, 95% CI: 1.06-2.13) to be slow decliners compared with FIN users. CONCLUSION: Teriflunomide and DMF were associated with poorer adherence trajectories than FIN. More research is needed to evaluate the clinical implications of these adherence trajectories of oral DMAs to optimize the management of MS.

Prescribing of disease modifying agents in older adults with multiple sclerosis.

BACKGROUND: The use of disease-modifying agents (DMAs) to treat Multiple Sclerosis (MS) in older adults is debated as the disease activity decreases with aging. However, limited data exist regarding prescribing patterns of DMAs among older adults with MS. OBJECTIVE: To examine prescribing patterns of DMAs and the factors associated with DMA prescribing practices among older adults with MS using electronic medical records (EMR) data. METHODS: A retrospective longitudinal cohort study was conducted using the TriNetX, a federated EMR network from the US, data from 2016 to 2019. The study included older adults (≥60 years) with MS diagnosis and at least one prescription record during the study period. Patients with DMA prescriptions were identified and further classified into injectable, oral, or infusion users based on their last DMA prescription. A multivariable logistic regression model was used to evaluate the factors associated with prescribing of DMAs. A multinomial logistic regression model was also used to determine the factors associated with prescribing a particular dosage form of DMA. RESULTS: The study cohort consisted of 12,922 older adults with MS, with 2,455 (18.99%) receiving DMA prescriptions. The commonly prescribed DMAs were injectables (10.46%), followed by orals (6.06%) and infusions (2.40%). Multivariable logistic regression revealed that older adults between 60- to 64 years (Adjusted Odds Ratio [aOR]= 2.38) and 65-69 years (aOR=1.60) had higher odds of receiving DMA compared to older adults of 70 years and above. African Americans (aOR=1.71) had higher odds of receiving DMA prescriptions compared to Caucasians. The presence of symptoms (pain, fatigue, speech, walking difficulty) and use of symptomatic medication (anti-fatigue medication, bladder dysfunction medication, antispasmodics, antidepressants, and relapse medication) increased the odds of being prescribed DMAs. Multinomial logistic regression found that patients 60-64 years of age had higher odds of being prescribed infusion (aOR, 95% Confidence Interval [CI] =2.06, 1.35-3.15) and oral (65-69 years: aOR=1.60, 1.24-2.07) over injectable DMAs compared to the older adults aged 70 years and above.Older males (aOR=1.68, 95% CI: 1.23-2.30) were associated with increased odds of being prescribed infusion DMA over injectable DMA compared to females. The presence of comorbidities such as coagulopathy and peripheral vascular disorders decreased the odds of being prescribed oral DMA over injectable DMA. Patients with cerebellar symptoms had an increased likelihood of being prescribed with an infusion DMA over injectable DMA. Patients using drugs for treating relapses had higher odds of being prescribed an infusion DMA over an injectable DMA. In terms of healthcare utilization, older adults with outpatient visits had higher odds of being prescribed an infusion DMA over an injectable DMA, while older adults with inpatient visits had lower odds of being prescribed an infusion DMA over an injectable DMA. CONCLUSION: Nearly one in five older adults with MS are prescribed DMAs, with a majority receiving injectable DMAs. Several demographic and clinical factors were associated with DMA prescribing . This study fills the data gap regarding the utilization of DMAs in older adults with MS.

Clinical Reasoning: A 57-Year-Old Man With Stepwise Progressive Paraparesis, Sensory Loss, Urinary Retention, and Constipation.

We present the case of a 57-year-old man with protein S deficiency and left leg deep vein thrombosis (DVT) 5 years earlier, who developed stepwise progressive bilateral lower limb weakness, numbness/paresthesia, gait imbalance, hesitancy of micturition, and constipation in the setting of recurrent left common femoral DVT treated with apixaban. Symptoms amplified with Valsalva, corticosteroids, and postlumbar puncture, with longitudinally extensive midthoracic T2-hyperintense lesion extending to the conus associated with hazy holocord enhancement on magnetic resonance imaging (MRI), raising suspicion for spinal dural arteriovenous fistula (sDAVF). Initial digital subtraction angiography (DSA) was negative for sDAVF. However, cerebral spinal fluid (CSF) was herpes simplex virus (HSV)-2 positive, and he was treated with antiviral therapy. Unfortunately, he continued to worsen despite treatment. Repeat neuroimaging 12 months after initial presentation demonstrated persistent lower thoracic/conus lesion in addition to cauda equina enhancement and subtle dorsal T2-hypointense flow voids. We raised red flags (e.g., lack of clinical prodrome, no herpetic rash, no CSF pleocytosis, and rostral extent of the lesion) that suggested the HSV2 nucleic acid detection was perhaps unrelated to the neurologic syndrome. Given the high index of suspicion for sDAVF, we repeated spinal vascular imaging. Spinal MRA demonstrated dilated right dorsal perimedullary veins from T10 to T11. Repeat DSA revealed a right T10 sDAVF. Microsurgical treatment rather than embolization of the fistula was successful without complication, with significant improvement in motor, sphincter, and to a lesser extent sensory function, with residual gait imbalance after inpatient rehabilitation 3 weeks postoperatively.

Health-related quality of life of patients with multiple sclerosis: Analysis of ten years of national data.

BACKGROUND: Multiple sclerosis (MS) is a progressive autoimmune disease of the central nervous system. Both the physical and mental burden of MS affect patients' health-related quality of life (HRQoL). However, there is limited research at the national level evaluating the humanistic burden among MS patients. OBJECTIVES: This study evaluated the HRQoL and functional limitations among MS patients using ten years of national survey data. METHODS: Guided by the conceptual framework of the Wilson and Cleary model, this study compared HRQoL between adults diagnosed with MS (Clinical Classification Code= "080″) and non-MS adults using the 2006-2015 Medical Expenditure Panel Survey (MEPS) data. The humanistic burden included HRQoL and functional limitations. The HRQoL was evaluated using physical component summary (PCS) and mental component summary (MCS) based on the Short Form Health Survey (SF-12). The study applied the multivariable Generalized Linear Models (GLM) to estimate the marginal differences in PCS and MCS based on the SF-12. In addition, seeking help for activities of daily living (ADL) and instrumental activities of daily living (IADL) were modeled with multivariable logistic regression. RESULTS: According to the MEPS, the estimated annual prevalence of MS was 0.52 million (95% Confidence Interval [CI]: 0.42-0.60). MS patients were mainly female (71.90%), middle aged (50-64 years, 40.21%), non-Hispanic whites (78.29%), and enrolled in private insurance plans (68.93%). The average PCS scores in MS and non-MS groups were 35.70 and 49.48, respectively. The average MCS scores were 45.58 and 51.25 for MS and non-MS groups, respectively. In addition, 18.26% of MS patients sought help for ADL, and 27.08% sought help for IADL. After adjusting for individual, biological, and environmental characteristics, the multivariable GLM with Poisson distribution indicated that the marginal difference of PCS score was 11.10 (95% CI: 9.50-12.61) units lower, and the MCS score was 4.89 (95% CI: 3.44-6.30) units lower among MS patients. In addition, MS patients were 17.32 (95% CI: 11.61-25.84) and 14.43 (95% CI: 10.09-20.65) times more likely to request assistance for ADL and IADL, respectively. CONCLUSIONS: MS was associated with lower physical and mental HRQoL than their non-MS counterparts and MS patients were more likely to request help for ADL and IADL. More work is needed to evaluate the effect of treatment strategies on improving the HRQoL and functional limitations in MS.

Elsberg syndrome following acute immunosuppressive treatment for multiple sclerosis relapse.

First described more than 80 years ago, Elsberg Syndrome (ES) continues to be an under-recognized cause of cauda equina syndrome (CES). ES is an infectious disorder that presents with lower thoracic and/or lumbosacral myelitis in conjunction with CES, and most often occurs in the setting of herpes simplex virus 2 (HSV-2) reactivation (Savoldi et al., 2017; Eberhardt et al., 2004; Whalen et al., 2019). Comorbid neurologic diseases like multiple sclerosis (MS) can become a detrimental confounding factor leading to delayed diagnosis and management of ES due to pre-existing diagnostic bias. We present a case of relapsing-remitting MS (RRMS) complicated by ES, likely due to reactivation of a latent HSV infection following high immunosuppression for presumed refractory MS relapses.

FACTORS ASSOCIATED WITH SWITCHING FROM INJECTABLE TO ORAL DISEASE MODIFYING AGENTS AMONG PATIENTS WITH MULTIPLE SCLEROSIS.

BACKGROUND: Since the introduction of oral disease-modifying agents (DMA) in 2010, the treatment options for multiple sclerosis (MS) have changed significantly. There is limited information regarding the factors associated with switching to oral DMA among prevalent injectable DMA users. OBJECTIVE: This study evaluated the factors associated with switching to oral DMAs among prevalent injectable DMA users with MS. METHODS: A retrospective observational cohort study using the TriNetX electronic medical records (EMR) data was conducted among patients with MS. The study included prevalent injectable DMA users with at least two injectable DMA (interferon beta-1a, interferon beta-1b, peginterferon beta-1a, or glatiramer acetate) prescription records within 6 months between September 2010 and May 2018. The second injectable DMA prescription date was considered as the index date. Switching was defined as any oral DMA prescription record (fingolimod, dimethyl fumarate, or teriflunomide) within 12 months after the index date. Patients with any infusion DMA prescription after the first injectable DMA prescription, and those less than 18 years of age were excluded from the study. The Andersen Behavioral Model was used as the conceptual framework to identify predisposing, enabling, and need factors measured during the 1-year baseline period before the index date. A multivariable logistic regression model was used to examine the predisposing (age, sex, race, and ethnicity), enabling (time-period), and need factors (comorbidities, MS symptoms, MS-related medication, and healthcare utilization) associated with switching from injectable to oral DMAs. RESULTS: Among 2,943 prevalent injectable users included in this study, 8.09% (n=238) patients switched to oral DMAs. Patients who switched to oral DMAs were primarily younger adults aged 18-44 years (64.29%), females (82.77%), had sensory and visual symptoms, and had corticosteroid utilization during the one-year look-back period compared to non-switchers. Results from multivariable logistic regression model revealed that middle-aged adults (45-64 years, adjusted odds ratio [aOR]: 0.43, 95% Confidence Interval [CI]: 0.32-0.58), old adults (≥65 years, aOR: 0.30, 95% CI: 0.13-0.66) and men (aOR: 0.67, 95% CI: 0.47-0.96) were associated with decreased odds of switching to oral DMAs. Presence of MS-related sensory symptoms (aOR: 1.52, 95% CI: 1.07-2.16), visual symptoms (aOR: 1.59, 95% CI: 1.10-2.31), and corticosteroids usage (aOR: 1.44, 95% CI: 1.04-1.98) were associated with increased odds of switching to oral DMAs. CONCLUSION: The study found that about one in twelve prevalent injectable DMA users switched to oral DMA. Both demographic and clinical factors were associated with switching to oral DMAs. Further research is needed to evaluate the outcomes of switching to inform treatment decisions for MS management.

Fingolimod-related cryptococcal meningoencephalitis and immune reconstitution inflammatory syndrome in a patient with multiple sclerosis.

Fingolimod is an oral medication for multiple sclerosis that sequesters certain subsets of lymphocytes in lymph nodes, reducing egress into blood and their subsequent CNS migration. The initial multi-site randomized Phase III controlled trials found rates of infection similar to those in control groups. However, post-marketing surveillance has revealed an association with several opportunistic infections, including cryptococcosis. We report a case of fingolimod-related cryptococcal meningoencephalitis and IRIS after drug discontinuation and suggest a surveillance and risk mitigation strategy.

The concurrence of multiple sclerosis and glioblastoma.

INTRODUCTION: Glioblastoma rarely coincides with multiple sclerosis. Although registries have reported a higher proportion of brain tumors-most of which are glial-these events appear to be underreported. The relative contribution of JC virus (an oncogenic virus) and disease modifying therapies that may facilitate JC virus neurotropism and tumor-specific immune evasion remain unknown. CASE REPORT: We present the case of a 64-year-old woman who developed a primary glioblastoma eight years after diagnosis of multiple sclerosis while on dimethyl fumarate. CONCLUSION: Systematic reporting may help answer whether JC virus seropositivity and certain disease modifying therapies confer higher risk for glioblastoma in patients with multiple sclerosis.

Factors associated with oral fingolimod use over injectable disease- modifying agent use in multiple sclerosis.

Background: Fingolimod is the first approved oral disease-modifying agent (DMA) in 2010 to treat Multiple Sclerosis (MS). There is limited real-world evidence regarding the determinants associated with fingolimod use in the early years. Objective: The objective of this study was to examine the factors associated with fingolimod prescribing in the initial years after the market approval. Methods: A retrospective, longitudinal study was conducted involving adults (≥18 years) with MS from the 2010-2012 IBM MarketScan. Individuals with MS were selected based on ICD-9-CM: 340 and a newly initiated DMA prescription. Based on the index/first DMA prescription, patients were classified as fingolimod or injectable users. All covariates were measured during the six months baseline period prior to the index date. Multivariable logistic regression was performed to determine the predisposing, enabling, and need factors, conceptualized as per the Andersen Behavioral Model (ABM), associated with prescribing of fingolimod versus injectable DMA for MS. Results: The study cohort consisted of 3118 MS patients receiving DMA treatment. Of which, 14.4% of patients with MS initiated treatment with fingolimod within two years after the market entry, while the remaining 85.6% initiated with injectable DMAs. Multivariable regression revealed that the likelihood of prescribing oral DMA increased by 2-3 fold during 2011 and 2012 compared to 2010. Patients with ophthalmic (adjusted odds ratio [aOR]-2.60), heart (aOR-2.21) and urinary diseases (aOR-1.37) were more likely to receive fingolimod. Patients with other neurological disorders (aOR-0.50) were less likely to receive fingolimod than those without neurological disorders. Use of symptomatic medication (for impaired walking (aOR-2.60), bladder dysfunction (aOR-1.54), antispasmodics (aOR-1.48), and neurologist consultation (aOR-1.81) were associated with higher odds of receiving fingolimod. However, patients with non-MS associated emergency visits (aOR-0.64) had lower odds of receiving fingolimod than those without emergency visits. Conclusions: During the initial years after market approval, patients with highly active MS were more likely to receive oral fingolimod than injectable DMAs. More research is needed to understand the determinants of newer oral DMAs.

Comparative treatment effectiveness of oral fingolimod and conventional injectable disease-modifying agents in multiple sclerosis.

STUDY OBJECTIVE: To compare the effectiveness of oral fingolimod and conventional injectable disease-modifying agents (DMAs) using the composite endpoint of relapse or DMA treatment switch in patients with multiple sclerosis (MS). DESIGN: A retrospective longitudinal cohort study. DATA SOURCE: IBM MarketScan Commercial Claims and Encounters Database from 2010-2012. PATIENTS: Adults (≥18 years) with MS diagnosis (ICD-9-CM:340) who newly initiated DMAs. INTERVENTION: Oral fingolimod and conventional injectable DMAs (interferon beta and glatiramer acetate). MEASUREMENTS: Composite endpoint of time to relapse or DMA treatment switch. MAIN RESULTS: The incident study cohort consisted of 1997 MS patients who initiated oral fingolimod (15.6%) or injectable (84.4%) DMAs. The proportion of patients who had a composite endpoint (relapse/DMA treatment switch) in oral fingolimod and injectable DMA users was found to be 16.72% and 27.16%, respectively. The Cox PH regression model with stabilized IPTW revealed that fingolimod is equally effective as conventional injectable DMAs in reducing the risk of experiencing the composite endpoint of relapse or DMA switch (adjusted hazard ratio [aHR]: 0.67, 95% CI: 0.43-1.03). Additional analysis among patients who were adherent also found no significant difference in the composite endpoint (aHR: 0.70, 95% CI 0.49-1.15) between oral fingolimod and injectable DMA users. CONCLUSIONS: Oral fingolimod has similar effectiveness as conventional injectable DMAs in reducing the risk of experiencing the composite endpoint (relapse or DMA treatment switch). In addition, when assessed independently, oral fingolimod showed no difference in reducing the time to relapse or DMA treatment switch compared to injectable DMAs.

Brain volume change after high-dose immunosuppression and autologous hematopoietic cell transplantation for relapsing-remitting multiple sclerosis.

BACKGROUND: Brain volume loss (BVL) is commonly observed after high-dose immunosuppression and autologous hematopoietic cell transplantation (HDIT/HCT) for treatment of multiple sclerosis (MS). To better understand the mechanisms of underlying BVL associated with this treatment, we characterized the time courses of whole-brain (WB), grey-matter (GM) and white-matter (WM) volume loss in relapsing-remitting MS (RRMS) patients who received BEAM-based HDIT/HCT. METHODS: We used Jacobian integration to measure MRI-based WB, GM and WM volume changes up to 5 years after transplant in twenty-four RRMS participants who underwent BEAM-based HDIT/HCT. Using a two-piecewise mixed-effects model, we estimated the short-term (baseline to 1 year) and long-term (beyond 1 year) rates of BVL after HDIT/HCT. We also compared the rates based on the presence of gadolinium-enhancing lesions at baseline, and the maintenance of event-free survival during follow-up. RESULTS: On average, accelerated short-term BVL of -1.37% (SE: 0.21), -0.86% (SE: 0.28) and -2.18% (SE: 0.26) occurred in WB, GM and WM, respectively. Baseline T1-weighted MRI WM lesion volume was a significant predictor in the WB (short-term) and the WM (short-term and long-term). The average rates of BVL after the initial acceleration were -0.22%/y (SE: 0.10), -0.13%/y (SE: 0.11) and -0.36%/y (SE: 0.11) in the WB, GM and WM, respectively. Participants with gadolinium-enhancing lesions at baseline had significantly higher short-term rates of GM (-1.56% vs. -0.27%, p = 0.01) and WB volume loss (-1.94% vs. -0.81%, p = 0.006) at 1 year follow-up as compared to those without gadolinium-enhancing lesions. WM volume loss was not significantly different (-2.59% vs. -1.66%, p = 0.16). Participants who maintained event-free survival had similar rates of BVL compared to those who did not. CONCLUSIONS: BVL may accelerate for months after HDIT/HCT. However, over the long-term, adequate HDIT/HCT may reduce BVL rates to those similar to normal aging at the WB level.

Marginal Health Care Expenditure Burden Among U.S. Civilian Noninstitutionalized Individuals with Multiple Sclerosis: 2010-2015.

BACKGROUND: Multiple sclerosis (MS) is a chronic neuroinflammatory disorder with significant health care burden. However, little is known about health care expenditures since the introduction of oral agents for MS after 2010. OBJECTIVE: To analyze health care expenditures in individuals with MS using Medical Expenditure Panel Survey (MEPS) data from 2010-2015. METHODS: This retrospective cross-sectional study included adults (≥ 18 years) with MS (Clinical Classification Code 080) and those without MS based on the 2010-2015 full year consolidated MEPS Household Component and Medical Provider Component data files. Descriptive weighted analyses were performed to compare health care expenditures between individuals with MS and without MS. The 2-part model involving probit and generalized linear models was used to estimate the marginal increase in total health care expenditures for MS patients. RESULTS: There were 0.61 million patients (95% CI = 0.50-0.72) diagnosed with MS annually, accounting for a prevalence of 0.25%. The 2-part model revealed that the marginal total health care expenditures in patients diagnosed with MS were $20,103.49 (95% CI = $14,516.24-$25,690.73) more compared with those without MS. Further, the mean adjusted prescription medication expenditures for the MS group were $13,092.16 (95% CI = $9,452.20-$16,732.12) higher than the non-MS group and accounted for 65.12% of total health care expenditures in MS. CONCLUSIONS: MS is an expensive neuroinflammatory disease with a majority of the burden attributable to prescription medications. High prescription expenditure burden can be a barrier to optimal patient care in MS. DISCLOSURES: No funding was received for this study. Hutton reports grants from Adamas, Biogen, EMD Serono, Genzyme, Hoffman-LaRoche, MedImmune, Mallinckrodt, and Novartis and fees from Biogen, Celgene, Genzyme, Genentech, and Novartis, outside the submitted work. Aparasu reports grants from Novartis, Incyte, and Astellas, outside the submitted work. Earla and Thornton have nothing to disclose. Part of the study findings was presented at the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 2019 National Conference; May 18-22, 2019; New Orleans, LA.

Current Advances in Pediatric Onset Multiple Sclerosis.

Multiple sclerosis (MS) is an autoimmune inflammatory disease affecting the central nervous system leading to demyelination. MS in the pediatric population is rare, but has been shown to lead to significant disability over the duration of the disease. As we have learned more about pediatric MS, there has been a development of improved diagnostic criteria leading to earlier diagnosis, earlier initiation of disease-modifying therapies (DMT), and an increasing number of DMT used in the treatment of pediatric MS. Over time, treatment with DMT has trended towards the initiation of higher efficacy treatment at time of diagnosis to help prevent further disease progression and accrual of disability over time, and there is evidence in current literature that supports this change in treatment patterns. In this review, we discuss the current knowledge in diagnosis, treatment, and clinical outcomes in pediatric MS.

Use of disease modifying agents in patients with multiple sclerosis: Analysis of ten years of national data.

BACKGROUND: Disease modifying agents (DMAs) are used to reduce relapses and decrease disability progression in Multiple Sclerosis (MS) patients. However, limited national level data exists regarding the prescribing patterns for MS, especially after the introduction of oral DMAs. OBJECTIVE: This study examined the prescribing patterns and trends of DMAs using national level data and determined the factors associated with prescribing DMAs among MS patients in the United States. METHODS: This cross-sectional study utilized 2006-2015 National Ambulatory Medical Care Survey (NAMCS) data to examine office-based visits involving MS (ICD-9-CM code 340). Descriptive weighted analyses were performed to assess the prescribing patterns of DMAs. Multivariable logistic regression model within the conceptual framework of Andersen Behavioral Model was used to determine the factors associated with prescribing of DMAs among MS patients. RESULTS: An estimated 8.5 million (95% Confidence Interval [CI] 7.01-10.09 million) MS patient visits were identified from 2006 to 2015. During the ten-year study period, 3.84 million (45%) MS visits involved prescribing of DMAs. The majority of DMA prescriptions were injectables (78%), followed by infusions (11%) and orals (11%). Oral DMAs use increased (from 11% in 2010-2011 to 40% in 2014-2015), whereas the use of injectable DMAs decreased (from 96% in 2006-2007 to 52% in 2014-2015) during the study period. Multivariable analyses revealed that predisposing (age and region) and enabling (physician specialty) factors were significantly associated with prescribing of DMAs among MS patients. Visits to neurologists (Odds Ratio [OR] 6.61, 95% CI 3.66-11.93) were associated with higher odds of being prescribed with DMAs. CONCLUSION: During the ten-year study period, increasing use of oral DMAs and declining use of injectable DMAs was observed. Both predisposing and enabling factors influenced the prescribing of DMAs. With increasing availability of oral DMAs, the DMAs use is likely to increase among MS patients.

Factors Associated with Prescribing Oral Disease Modifying Agents in Multiple Sclerosis: a Real-world Analysis of Electronic Medical Records.

BACKGROUND: Little is known about the factors associated with the selection of Disease Modifying Agents (DMA) for the management of Multiple Sclerosis (MS) since the introduction of oral DMAs in 2010. OBJECTIVES: To examine the factors associated with initiation of oral DMAs in patients with MS using data from electronic medical records (EMR). METHODS: A retrospective longitudinal study was conducted using TriNetX, a federated EMR network of over 38 million patients from the US, from 2009-2019. Adult (≥18 years) patients with MS from the United States were identified using a MS diagnosis (ICD-9-CM: 340 or ICD-10-CM: G35) and a newly prescribed DMA with a one-year baseline period. Patients with new DMA prescriptions were classified as oral or injectable users based on their index medication. A multivariable logistic regression model was used to determine the predisposing (age category, sex, race, and ethnicity), enabling (time-period), and need factors (comorbidities, MS symptoms, symptomatic medication, and healthcare utilization) associated with initiation of an oral versus injectable DMA. RESULTS: The study cohort consisted of 7,511 MS patients with a newly prescribed DMA, of whom most were 18-44 years old (48.33%), female (75.18%), and white (80.92%). About 42.32% of MS patients were diagnosed with at least one comorbidity (mean±SD: 0.86±1.37). Two thirds (66.32%) of the patients with MS started injectable DMAs, and the remaining one third (33.68%) started oral DMAs. Multivariable regression revealed that middle-aged (45-64 years; Adjusted Odds Ratio [aOR]=0.88; 95% Confidence Interval [CI]: 0.79-0.98) and older adults (≥65 years; aOR=0.67, 95% CI: 0.53-0.84) were associated with a decreased likelihood of receiving oral DMAs. The presence of general symptoms (aOR=1.26, 95% CI: 1.10-1.45) and cerebellar symptoms (aOR=1.56, 95% CI: 1.26-1.93) was associated with an increased likelihood of an oral DMA. However, the presence of sensory symptoms (aOR: 0.72, 95% CI: 0.59-0.88) was associated with a decreased likelihood of an oral DMA. Comorbidities such as renal failure (aOR=0.16, 95%% 0.04-0.62), obesity (aOR=0.60, 95% CI: 0.45-0.80), drug abuse (aOR=0.61, 95% CI: 0.38-0.99), and other neurological disorders (aOR=0.82, 95% CI: 0.69-0.96) were associated with a decreased likelihood of receiving an oral DMA prescription. While the use of analgesics (aOR=0.78, 95% CI: 0.69-0.88) was associated with decreased likelihood, the use of antispasmodics (aOR=1.14, 95% CI: 1.01-1.28) was associated with an increased likelihood of receiving an oral DMA. Relative to the time-period when first oral DMAs entered into the market (2010-11), with time, the likelihood of prescribing oral DMA increased by multiple folds (2012-13, aOR=4.30, 95% CI: 3.08-6.00; 2014-15, aOR=19.34, 95% CI: 14.10-26.54; 2016-17, aOR=17.63, 95% CI: 12.76-24.35; and 2018-19, aOR=20.73, 95% CI: 14.64-29.37). CONCLUSIONS: Oral DMA use steadily increased over the years, with one in three MS patients receiving oral agents. Both demographic and clinical factors were associated with the initiation of oral DMA over injectable DMA.