Temporal profile of serum neurofilament light in multiple sclerosis: Implications for patient monitoring.

OBJECTIVE: To understand how longitudinal serum neurofilament light chain (sNfL) patterns can inform its use as a prognostic biomarker in multiple sclerosis (MS) and evaluate whether sNfL reflects MS disease activity and disease-modifying therapy usage. METHODS: This was a post hoc analysis of longitudinal data and samples from the ADVANCE trial (NCT00906399) of patients with relapsing-remitting MS (RRMS). sNfL was measured every 3 months for 2 years, then every 6 months for 4 years. Regression models explored how sNfL data predicted 4-year values of brain volume, expanded disability status scale score, and T2 lesions. sNfL levels were assessed in those receiving placebo, peginterferon beta-1a, and those with disease activity. RESULTS: Baseline sNfL was a predictor of 4-year brain atrophy and development of new T2 lesions. Clinical (p = 0.02) and magnetic resonance imaging (MRI) (p < 0.01) outcomes improved in those receiving peginterferon beta-1a whose sNfL decreased to <16 pg/mL after 12 months versus those whose sNfL remained ⩾16 pg/mL. Mean sNfL levels decreased in peginterferon beta-1a-treated patients and increased in placebo-treated patients (-9.5% vs. 6.8%; p < 0.01). sNfL was higher and more variable in patients with evidence of active MS. CONCLUSION: These data support sNfL as a prognostic and disease-monitoring biomarker for RRMS.

Neurofilament light levels are associated with long-term outcomes in multiple sclerosis.

BACKGROUND: Neurofilament light chain (NfL) is a promising marker of disease activity/treatment response in multiple sclerosis (MS), although its predictive value for long-term clinical outcomes remains unclear. OBJECTIVE: We measured NfL from a phase 3 trial in relapsing-remitting MS and investigated its association with outcomes after 8 and 15 years. METHODS: NfL concentrations were measured by single molecule array assay in cerebrospinal fluid (CSF) from MS patients (n = 235) in a 2-year randomized clinical trial (RCT) of intramuscular interferon ß-1a, and in serum (n = 164) from the extension study. RESULTS: Year 2 CSF and Year 3 serum NfL were associated with brain parenchymal fraction (BPF) change over 8 years (p < 0.0001, r = -0.46; p < 0.05. r = -0.36, respectively) and were predictive of reaching Expanded Disability Status Scale (EDSS) ⩾ 6.0 at Year 8 (odds ratio (OR) (upper vs lower tertile) = 3.4; 95% confidence interval (CI) = 1.2-9.9, p < 0.05; OR = 11.0, 95% CI = 2.0-114.6; p < 0.01, respectively). Serum NfL concentration (Year 4) was predictive of reaching EDSS score ⩾6.0 at 15 years (OR (upper vs lower tertile) = 4.9; 95% CI = 1.4-20.4; p < 0.05). NfL concentrations were complementary to 2-year BPF change in predicting long-term outcomes. CONCLUSION: Serum and CSF NfL concentrations were associated with long-term clinical outcomes in MS patients and are promising biomarkers for disease severity stratification supporting treatment decisions.

Symbol Digit Modalities Test: A valid clinical trial endpoint for measuring cognition in multiple sclerosis.

BACKGROUND: The need for more robust outcomes in multiple sclerosis (MS) clinical trials has been a main priority of the field for decades. Dissatisfaction with existing measures has led to several consensus meetings and initiatives over the past few decades in hopes of defining and gaining acceptance of measures that are valid, reliable, sensitive to change and progression, and most importantly, relevant to those living with MS. The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) was formed for this purpose. OBJECTIVE: The objective of this paper is to describe the results of the MSOAC plan to obtain qualification for a cognitive performance measure that meets these requirements. METHODS: Using data from 14 MS disease-modifying registration trials, we completed a comprehensive examination of the psychometric qualities of the Symbol Digit Modalities Test (SDMT) and the Paced Auditory Serial Addition Test (PASAT) with the goal of compiling evidence to support the utilization of one of these measures in future clinical trials. RESULTS AND CONCLUSION: Consistent with the published literature, the SDMT proved superior to the PASAT. The SDMT should be considered the measure of choice for MS trials in assessing cognitive processing speed.

Factors associated with clinically significant increased walking time in multiple sclerosis: results of a survival analysis of short-term follow-up data from a clinical database.

BACKGROUND: Because multiple sclerosis (MS) is variable and unpredictable, if symptom worsening could be predicted, patients may feel better prepared to manage changes in function. OBJECTIVE: The objective of this paper is to study the prediction of walking impairment in MS. METHODS: We retrieved data for all MS patients at our center (2008-2009), including baseline and follow-up timed 25-foot walk (T25FW) times. We assessed the incidence of ≥20% worsening in T25FW by developing two survival models: (1) disease course and (2) Multiple Sclerosis Performance Scales (MSPS) score. The outcome was days until ≥20% worsening in T25FW. Covariates were disease subtype, years since diagnosis, Patient Health Questionnaire-9 (PHQ-9) score, and demographics. Data were interval censored; missing data were handled with multiple imputation. RESULTS: Of 1544 patients, 309 (20%) experienced ≥20% worsening T25FW. For disease course, time to worsening was significantly shorter for secondary progressive vs. relapsing-remitting disease (p < 0.001). For MSPS, patients with lower baseline MSPS scores progressed more slowly (p = 0.001). In both models, sex, baseline T25W, and time since diagnosis were significantly associated with worsening. In the disease course model, PHQ 9 score may be related to worsening (p = 0.07). CONCLUSION: These findings suggest factors associated with worsening in T25FW and a potential approach to establishing indicators associated with clinically significant change.

Experience with fingolimod in clinical practice.

AIM: To report experience with fingolimod in clinical practice. DESIGN/METHODS: Patients in an academic medical center who were prescribed fingolimod from October 2010 to August 2011 were identified through the electronic medical record and followed for 12 months after fingolimod initiation. Adverse effects (AEs), clinical measures, MRI data, and quality of life measures were assessed. RESULTS: Three hundred seventeen patients started fingolimod. Eleven patients were treatment naïve (3.5%) and 76 (24.0%) had remote disease modifying therapy (DMT) use prior to fingolimod. One hundred fifty-one (47.6%) switched because of patient preference and 79 (24.9%) switched because of breakthrough disease. About 11.6% transitioned from natalizumab. Follow-up data were available for 306 patients (96.5%) with mean follow-up time 332 days. Fingolimod was discontinued in 76 of 306 patients (24.8%) at mean 248 days after fingolimod start. Discontinuation most often was due to AEs (n = 40) or breakthrough disease (n = 22). Among patients who started fingolimod with available 12 month follow-up data, 267 (87.3%) remained relapse free and 256 (83.7%) had no relapses or gadolinium enhancement. Time to first relapse occurred at mean 282 days after fingolimod initiation. Quality of life measures remained stable at follow-up. CONCLUSIONS: Fingolimod was discontinued at a higher rate in clinical practice than in clinical trials. Discontinuation was primarily due to AEs or breakthrough disease. Disease activity was adequately controlled in most patients who started fingolimod. This clinical practice cohort is consistent with efficacy data from phase 3 trials and describes the most common tolerability issues in clinical practice.

Predictors of long-term outcome in multiple sclerosis patients treated with interferon ß.

OBJECTIVE: To identify early predictors of long-term outcomes in patients with relapsing-remitting multiple sclerosis (RRMS) treated with intramuscular (IM) interferon beta-1a (IFNß-1a). METHODS: A multicenter, observational, 15-year follow-up study of patients who completed ≥2 years in the pivotal trial of IM IFNß-1a for RRMS was conducted. One hundred thirty-six patients participated in the 15-year follow-up (69 originally randomized to IM IFNß-1a and 67 to placebo). After the 2-year clinical trial, treatment was not regulated by study protocol. Disease activity during the 2-year trial was defined as: ≥2 gadolinium-enhancing lesions (cumulative) on year 1 and/or year 2 magnetic resonance imaging (MRI); ≥3 new T2 lesions on year 2 MRI compared to baseline; and ≥2 relapses over 2 years. Odds ratios were calculated for early disease activity predicting severe Expanded Disability Status Scale (EDSS) worsening (worst quartile of change, ≥4.5 EDSS points) during the 15-year interval. RESULTS: The proportion of patients experiencing early disease activity was lower in patients on IM IFNß-1a than placebo for all disease activity markers (range, 23.5-29.0% vs 41.0-45.5%). In the IM IFNß-1a group, persistent disease activity predicted severe EDSS worsening: gadolinium-enhancing lesions (odds ratio [OR], 8.96; p < 0.001); relapses (OR, 4.44; p = 0.010); and new T2 lesions (OR, 2.90; p = 0.080). In placebo patients, early disease activity was not as strongly associated with long-term outcomes (OR range, 1.53-2.62; p = 0.069-0.408). INTERPRETATION: Disease activity despite treatment with IFNß is associated with unfavorable long-term outcomes. Particular attention should be paid to gadolinium-enhancing lesions on IFNß therapy, as their presence strongly correlates with severe disability 15 years later. The results provide rationale for monitoring IFNß-treated patients with MRI, and for changing therapy in patients with active disease.

Multiple Sclerosis Outcome Assessments Consortium: Genesis and initial project plan.

The need for improved clinical outcome measures in multiple sclerosis trials has been recognized for two decades, but only recently has the Food and Drug Administration (FDA) created a pathway for qualification of new clinician-reported outcome (ClinRO) assessments. Additionally, drug development in multiple sclerosis (MS) has been extraordinarily active, with numerous disease-modifying drugs now on the market. This shifting therapeutic landscape, along with the unmet need for drugs to treat the progressive forms of MS and the changing expectations of clinicians, patients, and payers, have led to the call for more sensitive and meaningful disability progression measures. In response to these drivers, the Multiple Sclerosis Outcome Assessments Consortium (MSOAC) was launched. A public-private partnership, MSOAC aims to accelerate the development of new therapies for MS by generating new tools for measuring outcomes in clinical trials. At the first annual MSOAC/FDA meeting, a regulatory path was outlined for qualifying a new tool for assessing efficacy in registration trials of MS. The European Medicines Agency (EMA) and FDA will provide parallel consultation and review. The consensus approach with engagement by all of the stakeholders, prominently including patients with MS, should also increase acceptance of the measure by clinicians and patients.

The role of cell type-specific responses in IFN-ß therapy of multiple sclerosis.

The mechanism of IFN-ß therapy in relapsing-remitting multiple sclerosis (RRMS) is not well understood, but induction of apoptosis in specific leukocyte subsets is likely to be important. Enhanced expression of TNFSF10 or TNF-related apoptosis-inducing ligand (TRAIL) mRNA in unseparated leukocytes has been put forward as a therapeutic response marker, but it is unclear which leukocyte subsets express TRAIL. We investigated the basis of TRAIL expression in response to IFN-ß by studying activation of STATs 1, 3, and 5, p38 MAPK, and NF-κB in different leukocyte subsets of patients with RRMS. Monocytes, B cells, and T cells showed substantial differences in the activation of p38 and the STATs in response to i.m. injection of IFN-ß1a or stimulation in vitro. Induction of cell-surface TRAIL, analyzed in nine leukocyte subsets, was observed only on monocytes and granulocytes and correlated with the activation of p38 and/or NF-κB in these subsets only, in agreement with previous work in fibroblasts showing that the induction of TRAIL in response to IFN-ß depends on the activation of p38 and NF-κB as well as STATs 1 and 2. We propose that, in myeloid cells, the differential activation of p38 and NF-κB and induction of TRAIL, which sensitizes cells to apoptosis, can help to explain differences in responsiveness to IFN-ß therapy among patients with RRMS and, furthermore, that such differential patterns of activation and expression may also be important in understanding the therapeutic responses to IFN-α/ß in hepatitis and cancer.

Temporal Relationship Between Serum Neurofilament Light Chain and Radiologic Disease Activity in Patients With Multiple Sclerosis.

BACKGROUND AND OBJECTIVES: Serum neurofilament light chain (sNfL) levels correlate with multiple sclerosis (MS) disease activity, but the dynamics of this correlation are unknown. We evaluated the relationship between sNfL levels and radiologic MS disease activity through monthly assessments during the 24-week natalizumab treatment interruption period in RESTORE (NCT01071083). METHODS: In the RESTORE trial, participants with relapsing forms of MS who had received natalizumab for ≥12 months were randomized to either continue or stop natalizumab and followed with MRI and blood draws every 4 weeks to week 28 and again at week 52 The sNfL was measured, and its dynamics were correlated with the development of gadolinium-enhancing (Gd+) lesions. Log-linear trend in sNfL levels were modeled longitudinally using generalized estimating equations with robust variance estimator from baseline to week 28. RESULTS: Of 175 patients enrolled in RESTORE, 166 had serum samples for analysis. Participants with Gd+ lesions were younger (37.7 vs 43.1, p = 0.001) and had lower Expanded Disability Status Scale scores at baseline (2.7 vs 3.4, p = 0.017) than participants without Gd+ lesions. sNfL levels increased in participants with Gd+ lesions (n = 65) compared with those without (n = 101, mean change from baseline to maximum sNfL value, 12.1 vs 3.2 pg/mL, respectively; p = 0.003). As the number of Gd+ lesions increased, peak median sNfL change also increased by 1.4, 3.0, 4.3, and 19.6 pg/mL in the Gd+ lesion groups of 1 (n = 12), 2-3 (n = 18), 4-9 (n = 21), and ≥10 (n = 14) lesions, respectively. However, 46 of 65 (71%) participants with Gd+ lesions did not increase above the 95th percentile threshold of the group without Gd+ lesions. The initial increase of sNfL typically trailed the first observation of Gd+ lesions, and the peak increase in sNfL was a median [interquartile range] of 8 [0, 12] weeks after the first appearance of the Gd+ lesion. DISCUSSION: Although sNfL correlated with the presence of Gd+ lesions, most participants with Gd+ lesions did not have elevations in sNfL levels. These observations have implications for the use and interpretation of sNfL as a biomarker for monitoring MS disease activity in controlled trials and clinical practice.

Serum neurofilament light-chain levels and long-term treatment outcomes in relapsing-remitting multiple sclerosis patients: A post hoc analysis of the randomized CombiRx trial.

Background: CombiRx was a randomized, double-blind, placebo-controlled phase 3 trial in treatment-naive relapsing-remitting multiple sclerosis (RRMS) patients randomized to intramuscular interferon beta-1a (IM IFN beta-1a), glatiramer acetate (GA), or both therapies. Objective: This analysis investigated changes in serum neurofilament light-chain (sNfL) levels in response to treatment and assessed baseline sNfL as a predictor of relapse. Methods: RRMS patients treated with IM IFN beta-1a 30 µg weekly + placebo (n = 159), GA 20 mg/mL daily + placebo (n = 172), or IM IFN beta-1a + GA (n = 344) were included. A linear mixed model compared sNfL values over time. Cox regression models analyzed baseline sNfL and gadolinium-enhancing (Gd+) lesions as predictors of relapse. Results: In all treatment arms, the proportion of patients with sNfL ≥16 pg/mL decreased significantly from baseline to 6 months and was maintained at 36 months. A significantly higher percentage of patients with both baseline sNfL ≥16 pg/mL and ≥1 Gd+ lesion experienced relapses within 90 days compared to patients with sNfL <16 pg/mL and/or no Gd+ lesions. Conclusion: sNfL levels were reduced within 6 months and remained low at 36 months. Results suggest that the combination of lesion activity and sNfL was a stronger predictor of relapse than either factor alone.

Magnetic resonance fingerprinting in multiple sclerosis.

BACKGROUND: In this cross sectional study, we used MRF to investigate tissue properties of normal-appearing white matter, gray matter, and lesions in relapsing remitting MS (n = 21), secondary progressive MS (n = 16) and healthy controls (n = 9). A FISP-based MRF sequence was used for acquisition, imaging time 5 min 15 s. MRF T1 and T2 relaxation times were measured from lesional tissue, normal-appearing frontal white matter, corpus callous, thalamus, and caudate. Differences between healthy controls and MS were examined using ANCOVA adjusted for age and sex. Spearman rank correlations were assessed between T1 and T2 relaxation times and clinical measures. OBJECTIVES: To examine brain T1 and T2 values using magnetic resonance fingerprinting (MRF) in healthy controls and MS. METHODS: The subjects included 21 relapsing-remitting (RR) MS, 16 secondary progressive (SP) MS, and 9 age- and sex-matched HC without manifest neurological disease participating in a longitudinal MRI study. A 3T/ FISP-based MRF sequence was acquired. Regions of interest were drawn for lesions and normal appearing white matter. ANCOVA adjusted for age and sex were used to compare the groups with significance set at 0.05. RESULTS: A step-wise increase in T1 and T2 relaxation times was found between healthy controls, relapsing remitting MS, and secondary progressive MS. Significant differences were found in T1 and T2 between MS and healthy controls in the frontal normal-appearing white matter, corpus callosum, and thalamus (p < 0.04 for all). Significant differences in T1 and T2 between RR and SPMS were found in the frontal normal-appearing white matter and T2 lesions (p < 0.02 for all). T1 relaxation from the frontal normal-appearing white matter correlated with the Expanded Disability Status Scale [ρ = 0.62, p < 0.001], timed 25 foot walk (ρ = 0.45, p = 0.01), 9 hole peg test (ρ = 0.62, p < 0.001), and paced auditory serial addition test (ρ = -0.4, p = 0.01). CONCLUSION: These results suggest that MRF may be a clinically feasible quantitative approach for characterizing tissue damage in MS.

Beta-interferon for multiple sclerosis.

Interferon beta is widely used as first-line treatment for relapsing remitting multiple sclerosis (RRMS). Several products are marketed world-wide, and biosimilar products are emerging. Interferon beta reduces relapse rates by about 1/3, and reduces the appearance of new MRI lesions by about 2/3, and some studies have shown reduced disability progression, and reduced rates of brain atrophy. The mechanism of action of interferon beta in MS is poorly understood, partly due to the complex nature of the biological response to interferon injections. This mini-review succinctly summarizes clinical effects, possible mechanism of action, physiochemical properties of the different interferon products, issues related to immunogenicity, and biomarkers of the interferon beta response, and proposes important unresolved issues for future research.

Development of a Highly Sensitive Neurofilament Light Chain Assay on an Automated Immunoassay Platform.

Background: Neurofilament light chain (NfL) is an axonal cytoskeletal protein that is released into the extracellular space following neuronal or axonal injury associated with neurological conditions such as multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and other diseases. NfL is detectable in the cerebrospinal fluid (CSF) and blood. Numerous studies on MS have demonstrated that NfL is correlated with disease activity, predicts disease progression, and is reduced by treatment with MS disease-modifying drugs, making NfL an attractive candidate to supplement existing clinical and imaging measures in MS. However, for NfL to achieve its potential as a clinically useful biomarker for clinical decision-making or drug development, a standardized, practical, and widely accessible assay is needed. Our objective was to develop a novel NfL assay on an automated, globally available immunoassay platform and validate its performance. Methods: A prototype NfL assay was first developed and evaluated on the ADVIA Centaur® XP immunoassay system from Siemens Healthineers. The lower limit of quantitation (LLoQ), within-lab precision, assay range, cross-reactivity with neurofilament medium and heavy chains, and effect of interfering substances were determined. NfL assay values in serum and CSF were compared with radiological and clinical disease activity measures in patients with MS and ALS, respectively. This assay was further optimized to utilize serum, plasma, and CSF sample types on the Atellica® IM system and transferred to Siemens' CLIA laboratory where it was analytically validated as a laboratory-developed test (LDT). Results: In this study, an LLoQ of 1.85 pg/mL, within-lab precision <6%, and an assay range of up to 646 pg/mL were demonstrated with the serum prototype assay. Cross-reactivity of <0.7% with the neurofilament medium and heavy chains was observed. Serum and CSF NfL assay values were associated with radiological and clinical disease activity measures in patients with MS and ALS, respectively. The optimized version of the NfL assay demonstrated specimen equivalence with additional plasma tube types and was analytically validated as an LDT. Conclusion: The analytical performance of the NfL assay fulfilled all acceptance criteria; therefore, we suggest that the assay is acceptable for use in both research and clinical practice settings to determine elevated NfL levels in patients.

Challenges to clinical trials in multiple sclerosis: outcome measures in the era of disease-modifying drugs.

PURPOSE OF REVIEW: This review summarizes standard and evolving outcome measures in multiple sclerosis (MS) clinical trials. RECENT FINDINGS: Progress in the development of MS treatments has led to an increasing number of clinical trials and a need for sensitive, timely, and clinically relevant outcome measures. Relapse rate and the Expanded Disability Status Scale remain the standard clinical outcome measures, but the MS Functional Composite continues to gain additional validation as a meaningful outcome measure. The uncertain relationship between MRI outcome measures and clinical disability has been a persistent challenge in MS clinical trials, but there is increasing evidence supporting a correlation between MRI changes and disability in relapsing-remitting MS patients. Additionally, new imaging techniques are being developed to further increase the sensitivity of MRI as a tool in MS clinical trials. Optical coherence tomography is another outcome measure gaining influence in clinical trials. Some of the greatest challenges remain in the subset of primary progressive MS clinical trials in which brain atrophy appears to be the most promising imaging outcome measure, but the optimal clinical measures and study durations are still uncertain. SUMMARY: Progress in MS clinical trials requires critical evaluation of existing and future outcome measures and their relationships to one another.

Assessment of JC virus DNA in blood and urine from natalizumab-treated patients.

OBJECTIVE: Analyses were conducted to determine the clinical utility of measuring JC virus (JCV) DNA in blood or urine of natalizumab-treated multiple sclerosis (MS) patients to predict the risk of progressive multifocal leukoencephalopathy (PML). METHODS: A total of 12,850 blood and urine samples from nearly 1,400 patients participating in natalizumab clinical trials were tested for JCV DNA using a commercially available quantitative polymerase chain reaction (qPCR) assay. A subset of these samples was also tested using a more sensitive qPCR assay developed at the National Institutes of Health (NIH). RESULTS: At the time natalizumab dosing was suspended, JCV DNA was detected in plasma by the commercial assay in 4 of 1,397 (0.3%) patients; the NIH assay confirmed these positive samples and detected JCV DNA in an additional 2 of 205 (1%) patients who tested negative with the commercial assay. None of these 6 JCV DNA positive patients developed PML. In a 48-week study testing the safety of natalizumab redosing, JCV DNA was detected in plasma of 6 of 1,094 (0.3%) patients, none of whom developed PML. Urine at baseline and week 48 was assessed in 224 patients; 58 (26%) were positive at baseline, and 55 (25%) were positive after 48 weeks of natalizumab, treatment. JCV DNA was not detected in peripheral blood mononuclear cells from any of these 1,094 patients before or after natalizumab treatment. In 5 patients who developed PML, JCV DNA was not detected in blood at any time point before symptoms first occurred. INTERPRETATION: Measuring JCV DNA in blood or urine with currently available methods is unlikely to be useful for predicting PML risk in natalizumab-treated MS patients.

Web-based self-management for patients with multiple sclerosis: a practical, randomized trial.

OBJECTIVE: No studies have addressed the use of electronic personal health records (e-PHRs) for self-management in complex neurological disorders. We assessed and tested an Internet-based self-management system that utilized the e-PHR and determined its impact on self-assessed well-being, clinician-assessed well-being, and healthcare utilization in patients with multiple sclerosis (MS). MATERIALS AND METHODS: Subjects were randomized to usual care (a secure Web-based messaging system) or active intervention, which included secure messaging, self-monitoring, self-management of MS symptoms, and communication about upcoming clinic visits. Computers and Internet access were provided. Subjects were included if they had MS, lived within the county or region surrounding our MS center, had at least two appointments at our center in the previous 12 months, and demonstrated basic typing and computer skills. Study duration was 12 months. RESULTS: Of 220 subjects completing informed consent, 206 met the inclusion criteria. At the study's end, 83 subjects remained in the usual care group and 84 in the enhanced care group. Both groups used the available system components. The groups did not significantly differ on the primary endpoints or healthcare utilization. CONCLUSIONS: Self-management support is an emerging aspect of chronic care management. We established the feasibility of conducting a randomized, controlled trial using e-PHRs for patient self-management. We did not find that e-PHR-enabled self-management augmented multidisciplinary MS center-based care, possibly because the differences between interventions were not great enough.

Measuring treatment response to advance precision medicine for multiple sclerosis.

OBJECTIVE: To assess the independent contributions of clinical measures (relapses, Expanded Disability Status Scale [EDSS] scores, and neuroperformance measures) and nonclinical measures (new brain magnetic resonance imaging [MRI] activity and serum neurofilament light chain [sNfL] levels) for distinguishing natalizumab-treated from placebo-treated patients. METHODS: We conducted post hoc analyses using data from the AFFIRM trial of natalizumab for multiple sclerosis. We used multivariable regression analyses with predictors (EDSS progression, no relapse, new or enlarging MRI activity, brain atrophy, sNfL levels, and neuroperformance worsening) to identify measures that independently discriminated between treatment groups. RESULTS: The multivariable model that best distinguished natalizumab from placebo was no new or enlarging T2 or gadolinium-enhancing activity on MRI (odds ratio; 95% confidence interval: 7.2; 4.7-10.9), year 2 sNfL levels <97.5th percentile (4.1; 2.6-6.2), and no relapses in years 0-2 (2.1; 1.5-3.0). The next best-fitting model was a two-component model that included no MRI activity and sNfL levels <97.5th percentile at year 2. There was little difference between the three- and two-component models. INTERPRETATION: Nonclinical measures (new MRI activity and sNfL levels) discriminate between treatment and placebo groups similarly to or better than clinical outcomes composites and have implications for patient monitoring.

Impact of natalizumab on quality of life in a real-world cohort of patients with multiple sclerosis: Results from MS PATHS.

BACKGROUND: Optimizing multiple sclerosis treatment warrants understanding of changes in physical, mental, and social health. OBJECTIVE: To assess the impact of natalizumab on Quality of Life in Neurological Disorders (Neuro-QoL) scores. METHODS: Annualized change in T-scores and likelihood of ≥5-point improvement over baseline were calculated for each Neuro-QoL domain after natalizumab initiation. Comparisons with ocrelizumab-treated patients were conducted after propensity score weighting and adjustment for relevant co-medications, year, and drug-year interaction. RESULTS: Among 164 natalizumab patients analyzed, 8 of 12 Neuro-QoL domains improved significantly, with greater improvement in patients with abnormal baseline Neuro-QoL. In the subgroup comparison of natalizumab-treated (n = 145) and ocrelizumab-treated (n = 520) patients, significant improvement occurred in 9 of 12 and 4 of 12 domains, respectively. The difference between groups was statistically significant for positive affect and well-being (p = 0.02), sleep (p = 0.003), and satisfaction with social roles and activities (SRA) (p = 0.03) in the overall population and for emotional and behavioral dyscontrol (p = 0.01), participation in SRA (p = 0.0001), and satisfaction with SRA (p = 0.02) in patients with abnormal baseline Neuro-QoL. CONCLUSIONS: Natalizumab can produce clinically meaningful improvements in mental and social health. Such improvements are unlikely to be primarily driven by expectation bias, as their magnitude exceeded improvements with another high-efficacy therapy, ocrelizumab.

Quantitative signal properties from standardized MRIs correlate with multiple sclerosis disability.

OBJECTIVE: To enable use of clinical magnetic resonance images (MRIs) to quantify abnormalities in normal appearing (NA) white matter (WM) and gray matter (GM) in multiple sclerosis (MS) and to determine associations with MS-related disability. Identification of these abnormalities heretofore has required specialized scans not routinely available in clinical practice. METHODS: We developed an analytic technique which normalizes image intensities based on an intensity atlas for quantification of WM and GM abnormalities in standardized MRIs obtained with clinical sequences. Gaussian mixture modeling is applied to summarize image intensity distributions from T1-weighted and 3D-FLAIR (T2-weighted) images from 5010 participants enrolled in a multinational database of MS patients which collected imaging, neuroperformance and disability measures. RESULTS: Intensity distribution metrics distinguished MS patients from control participants based on normalized non-lesional signal differences. This analysis revealed non-lesional differences between relapsing MS versus progressive MS subtypes. Further, the correlation between our non-lesional measures and disability was approximately three times greater than that between total lesion volume and disability, measured using the patient derived disease steps. Multivariate modeling revealed that measures of extra-lesional tissue integrity and atrophy contribute uniquely, and approximately equally, to the prediction of MS-related disability. INTERPRETATION: These results support the notion that non-lesional abnormalities correlate more strongly with MS-related disability than lesion burden and provide new insight into the basis of abnormalities in NA WM. Non-lesional abnormalities distinguish relapsing from progressive MS but do not distinguish between progressive subtypes suggesting a common progressive pathophysiology. Image intensity parameters and existing biomarkers each independently correlate with MS-related disability.

Validation of a self-report comorbidity questionnaire for multiple sclerosis.

BACKGROUND/AIMS: Researchers increasingly recognize the high frequency of comorbidity in multiple sclerosis (MS) and the negative impact on quality of life and disability, but little work has evaluated methods of comorbidity measurement in MS. We aimed to validate a self-report questionnaire for assessing comorbidity in MS. METHODS: Patients with MS were recruited from the MS Clinic in Winnipeg, Canada and the Mellen Center (Cleveland Clinic, Cleveland, Ohio, USA) from October 2008 to 2009. Using a questionnaire, participants reported the presence or absence of 36 comorbidities, sociodemographic characteristics, and disability status. Abstractors blinded to questionnaire results collected data regarding the comorbidities of interest and their treatments. Using the medical record as the gold standard, we determined the sensitivity, specificity, positive and negative predictive values of the questionnaire data. To measure agreement we calculated kappa (kappa) statistics. RESULTS: We enrolled 404 participants. Agreement between self-report and medical records was high (kappa >0.82) for diabetes and hypertension; substantial (kappa = 0.62-0.80) for hyperlipidemia, thyroid disease, glaucoma, and lung disease; moderate (kappa = 0.43-0.56) for osteoporosis, irritable bowel syndrome, migraine, depression, heart disease, and anxiety disorders. Agreement was slight to fair for the remaining comorbidities. CONCLUSIONS: Self-report is a valid way to capture comorbidities affecting MS patients.