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. 2016 Nov 8;87(19):1985–1992. doi: 10.1212/WNL.0000000000003319

Alemtuzumab improves preexisting disability in active relapsing-remitting MS patients

Gavin Giovannoni 1,, Jeffrey A Cohen 1, Alasdair J Coles 1, Hans-Peter Hartung 1, Eva Havrdova 1, Krzysztof W Selmaj 1, David H Margolin 1, Stephen L Lake 1, Susan M Kaup 1, Michael A Panzara 1, D Alastair S Compston 1, On behalf of the CARE-MS II Investigators
PMCID: PMC5109953  PMID: 27733571

Abstract

Objective:

To characterize effects of alemtuzumab treatment on measures of disability improvement in patients with relapsing-remitting multiple sclerosis (RRMS) with inadequate response (≥1 relapse) to prior therapy.

Methods:

Comparison of Alemtuzumab and Rebif Efficacy in Multiple Sclerosis (CARE-MS) II, a 2-year randomized, rater-blinded, active-controlled, head-to-head, phase 3 trial, compared efficacy and safety of alemtuzumab 12 mg with subcutaneous interferon-β-1a (SC IFN-β-1a) 44 μg in patients with RRMS. Prespecified and post hoc disability outcomes based on Expanded Disability Status Scale (EDSS), Multiple Sclerosis Functional Composite (MSFC), and Sloan low-contrast letter acuity (SLCLA) are reported, focusing on improvement of preexisting disability in addition to slowing of disability accumulation.

Results:

Alemtuzumab-treated patients were more likely than SC IFN-β-1a–treated patients to show improvement in EDSS scores (p < 0.0001) on all 7 functional systems. Significantly more alemtuzumab patients demonstrated 6-month confirmed disability improvement. The likelihood of improved vs stable/worsening MSFC scores was greater with alemtuzumab than SC IFN-β-1a (p = 0.0300); improvement in MSFC scores with alemtuzumab was primarily driven by the upper limb coordination and dexterity domain. Alemtuzumab-treated patients had more favorable changes from baseline in SLCLA (2.5% contrast) scores (p = 0.0014) and MSFC + SLCLA composite scores (p = 0.0097) than SC IFN-β-1a–treated patients.

Conclusions:

In patients with RRMS and inadequate response to prior disease-modifying therapies, alemtuzumab provides greater benefits than SC IFN-β-1a across several disability outcomes, reflecting improvement of preexisting disabilities.

Classification of evidence:

This study provides Class I evidence (based on rater blinding and a balance in baseline characteristics between arms) that alemtuzumab modifies disability measures favorably compared with SC IFN-β-1a.


Limiting disability is a major objective in multiple sclerosis (MS) care. Most disease-modifying therapies (DMTs) approved for relapsing-remitting MS (RRMS) delay confirmed disability worsening (CDW) vs placebo, based on Expanded Disability Status Scale (EDSS) outcomes.17 Interest is growing in aiming for confirmed disability improvement (CDI), a higher standard for therapeutic efficacy than merely slowing disability accumulation. Because disability is a primary contributor to the burden of MS,810 restoring function in patients with previously acquired neurologic impairments may lead to improved long-term prognosis, greater productivity and quality of life, and reduced economic costs.

CDI is a metric reflecting durable and clinically meaningful EDSS score changes. In the phase 2 trial of alemtuzumab for RRMS (CAMMS223; NCT00050778) and the phase 3 Comparison of Alemtuzumab and Rebif Efficacy in Multiple Sclerosis II (CARE-MS II; NCT00548405) trial, CDI was more likely in alemtuzumab-treated patients than those receiving subcutaneous interferon-β-1a (SC IFN-β-1a).11,12 In CARE-MS II, alemtuzumab was also associated with significantly greater improvement in mean EDSS and Multiple Sclerosis Functional Composite (MSFC) scores vs SC IFN-β-1a.12

The EDSS is an important tool in assessing disability, but is heavily weighted toward ambulation and relatively insensitive to other aspects of disability.13,14 We therefore analyzed disability using EDSS-based and non-EDSS-based methods. The results of these prespecified outcomes and post hoc analyses from CARE-MS II more fully characterize the effects of alemtuzumab on disability in patients with RRMS than those published previously,12 and indicate potential for long-term improvement.

METHODS

Patients and study design.

Methods have been published elsewhere.12 CARE-MS II was a 2-year, randomized, rater-blinded, active comparator-controlled, head-to-head, trial of alemtuzumab (Lemtrada; Sanofi Genzyme, Cambridge, MA; 12 mg/day on 5 consecutive days at month 0 and on 3 consecutive days at month 12) vs SC IFN-β-1a (Rebif; EMD Serono, Rockland, MA; 44 μg 3 times weekly) in patients with RRMS with inadequate response to prior DMTs (≥1 relapse during IFN-β or glatiramer acetate [GA] treatment [received for ≥6 months]).12

Disability assessment procedures.

Differences in study drug administration and unique adverse event profiles precluded effective double-blinding. Blinded raters performed EDSS assessments at baseline, every 3 months, and when relapse was suspected. EDSS score changes of ≥1 point, confirmed over 3 or 6 months or longer, are accepted as clinically meaningful.15

Raters administered the MSFC16 3 times before baseline to attenuate practice effects, then every 6 months. MSFC is a multidimensional instrument comprising quantitative tests of neurologic performance in 3 critical domains: upper limb coordination and dexterity (9-Hole Peg Test [9-HPT], raw score measured in seconds); ambulation (25-Foot Timed Walking test, raw score measured in seconds); and cognitive function (Paced Auditory Serial Addition Test [PASAT]–3, raw score measured as number of correct responses). MSFC component scores were standardized by conversion into Z scores (SD units from mean population baseline score) and averaged to a summary MSFC score; increased MSFC scores indicate improvement.17 Changes from baseline of ≥15% or ≥20% on ≥1 MSFC component score may be considered clinically meaningful.18

Visual function was assessed every 6 months using binocular Sloan low-contrast letter acuity (SLCLA). Sloan charts display alphabetic characters with various visual contrast differentials (1.25%, 2.5%, and 100%, ranging from light gray to black); scores represent the number of correctly identified letters (maximum 70). Increased or decreased SLCLA counts of ≥5 letters at 100% contrast, or ≥7 letters at 1.25% and 2.5% contrast, were defined as clinically meaningful improvements or decrements, respectively, as per prior MS studies.19 SLCLA was not assessed at Russian and Ukrainian sites because Latin alphabetic characters in Sloan charts may be unfamiliar in these countries. SLCLA was normalized in the same manner as MSFC components. Patients were also assessed using the 4-component, MSFC plus SLCLA score incorporating Z scores from binocular, 1.25% contrast testing.20 Previous work showed that 1.25% contrast provided the greatest capacity to detect visual dysfunction in patients with MS vs healthy controls.20

Endpoints.

The following CARE-MS II tertiary endpoints were assessed: time to CDI (≥1.0-point EDSS decrease from baseline sustained for ≥3 or ≥6 months, in patients with baseline score ≥2.0); proportion worsened (≥0.5-point increase), stable, or improved (≥0.5-point decrease) from baseline EDSS; mean change from baseline in MSFC and MSFC plus SLCLA scores and their components; and proportions worsened (≥0.5 SD decrease), stable, or improved (≥0.5 SD increase) from baseline MSFC scores.

Additional analyses included integrated disability score of area under the curve (AUCSUM and AUCCHANGE as previously described)21 for EDSS from quarterly visits over 2 years (considered more sensitive than CDI Kaplan-Meier analysis)21 and odds ratios (ORs) for improvement vs stability or worsening on individual EDSS functional systems (visual [optic], brainstem, pyramidal, cerebellar, sensory, bowel/bladder, and cerebral [mental]) from baseline to month 24. To determine whether disability improvement was confounded by recovery from recent relapse, we compared mean EDSS change from baseline to month 6 in patients with and without recent prestudy relapse (i.e., ≤3 months before first study treatment). To determine dependence of disability improvement on relapse suppression by alemtuzumab,22 we compared mean EDSS change from baseline to month 6 in patients with and without early on-study relapse (i.e., relapse [per protocol definition] ≤6 months after first treatment).22 Risk of disability progression based on ≥20% or ≥15% changes from baseline on ≥1 MSFC component sustained for ≥6 months was also assessed.18,23

Statistical analyses.

Kaplan-Meier analyses were used to estimate risk for 3-month CDI (post hoc analysis) and 6-month CDI and risk for achieving specific (≥20% or ≥15%) MSFC improvement or worsening thresholds. Hazard ratios (HRs) and p values were generated using proportional hazards regression with covariate adjustment for geographic region and, for CDI endpoints, stratification by baseline EDSS. Integrated disability score of AUC for EDSS to 2 years (post hoc analysis) was calculated using the trapezium rule with EDSS score at all preplanned scheduled visits.21 EDSS AUC analysis used ranked analysis of covariance (ANCOVA) models with baseline EDSS and geographic region as covariates.

Changes from baseline on MSFC component Z scores, overall MSFC score, and MSFC plus SLCLA scores were analyzed using the Wei-Lachin test and mixed model for repeated measures analyses with time-by-treatment interaction and covariate adjustment for geographic region and baseline score. The nonparametric Wei-Lachin multivariate test is used with repeated measures data using change from baseline at different timepoints to determine differences in score distribution over time between treatment groups.24 SLCLA was analyzed by ranked ANCOVA with covariate adjustment for geographic region and baseline score. Proportional odds models with covariate adjustment for geographic region and baseline EDSS or MSFC scores were used to analyze proportion worsened, stable, or improved on EDSS and MSFC. Odds of improvement vs stability or worsening on individual EDSS functional systems were determined with covariate adjustment for geographic region and baseline EDSS score.

Reported p values are nominal and not adjusted for multiple comparisons.

Classification of evidence.

This analysis examined whether alemtuzumab treatment slows disability accumulation and improves preexisting disability compared with SC IFN-β-1a in patients with RRMS with an inadequate response to prior therapy. The results represent Class I evidence because of several elements of study design. Masked raters were used for study assessments related to key efficacy endpoints (e.g., EDSS for disability and relapse, MSFC, Sloan charts). Furthermore, randomization was performed such that the baseline characteristics were comparable between treatment arms.

Standard protocol approvals, registrations, and patient consents.

This trial is registered with ClinicalTrials.gov (NCT00548405). All procedures were approved by local institutional ethics review boards of participating sites. Patients provided written informed consent.

RESULTS

In total, 202 and 426 CARE-MS II patients were randomized to SC IFN-β-1a 44 μg and alemtuzumab 12 mg, respectively.12 Baseline demographic and clinical characteristics were equivalent between treatment groups, as previously reported.12 Percentage of patients with recent prestudy relapse was also equivalent between groups (alemtuzumab, 32%; SC IFN-β-1a, 33%).

EDSS-based disability outcomes.

From baseline to month 24, alemtuzumab patients were more likely than SC IFN-β-1a patients to show EDSS improvement (p < 0.0001; figure 1A). Odds of improvement in all 7 EDSS functional systems were also greater for alemtuzumab than SC IFN-β-1a (figure 1B), reaching statistical significance in 5 domains (cerebral, cerebellar, sensory, pyramidal, and visual).

Figure 1. Expanded Disability Status Scale (EDSS)–based improvement or worsening.

Figure 1

(A) Distribution of confirmed EDSS change from baseline to month 24 shown in half-point increments for alemtuzumab patients compared with subcutaneous interferon-β-1a (SC IFN-β-1a) patients. (B) Odds for improvement vs remaining stable or worsening with respect to the different functional systems of the EDSS at month 24. CI = confidence interval; OR = odds ratio of being improved vs stable or worsened.

Alemtuzumab patients were more than twice as likely as SC IFN-β-1a patients to experience 3-month CDI (34.7% vs 19.4%, p = 0.0003 [HR = 2.13]), consistent with previously reported 6-month CDI data (28.8% vs 12.9%, p = 0.0002 [HR = 2.57]; figure 2).12 Among patients with baseline EDSS ≥3.0, the proportion of patients with 6-month CDI was also significantly greater with alemtuzumab than SC IFN-β-1a (35.4% vs 15.3%; p = 0.0005 [HR = 2.76]). After stratification by presence or absence of prior IFN use, 6-month CDI remained consistently more likely with alemtuzumab vs SC IFN-β-1a both for patients with prior IFN use (approximately 81% of patients originally investigated in each of the 2 on-study treatment arms, 28.4% vs 12.7%, p = 0.0006 [HR = 2.64]) and patients without prior IFN use (only around 19% of patients in each group, 30.5% vs 13.9%, p = 0.0542 [HR = 3.01]).

Figure 2. Proportions of patients demonstrating 6-month confirmed disability improvement (CDI).

Figure 2

Kaplan-Meier estimates of risk for 6-month CDI with stratification by baseline Expanded Disability Status Scale (EDSS). Only patients with baseline EDSS ≥2.0 were included in the analyses of CDI; 154 (alemtuzumab, n = 105; subcutaneous interferon-β-1a [SC IFN-β-1a], n = 49) patients were excluded from the analysis for not meeting this criterion.

Alemtuzumab showed beneficial effect over SC IFN-β-1a in integrated disability score AUCCHANGE (mean [SD] −2.3 [18.45] vs 2.9 [16.84]; p = 0.0016) and AUCSUM analysis (62.8 [31.02] vs 64.8 [32.27]; p = 0.0114).

Alemtuzumab patients had comparable mean EDSS improvement from baseline to month 6 in cohorts with or without relapse within 3 months before initiating treatment (mean change −0.1 in both relapse groups), indicating that disability improvement did not merely reflect recovery from recent relapse. SC IFN-β-1a patients experienced worsened EDSS score from baseline to month 6 (mean change +0.21 and +0.14 in cohorts with or without recent pretreatment relapse, respectively); between-group differences were significant in both cohorts (recent pretreatment relapse, p = 0.0203; no recent pretreatment relapse, p = 0.0065).

Among patients without recent pretreatment relapse, significantly greater proportions experienced 3-month (33.8% vs 15.2%, p = 0.0004) and 6-month CDI (28.8% vs 9.2%, p = 0.0002) with alemtuzumab vs SC IFN-β-1a over 24 months.

In patients with early on-study relapse, mean EDSS scores increased from baseline to month 6 with both treatments (alemtuzumab, 0.44; SC IFN-β-1a, 0.37; difference 0.07; p = 0.7243). Alemtuzumab-treated patients without early on-study relapse had improved 6-month EDSS scores; SC IFN-β-1a–treated patients showed worsening (difference −0.23; p = 0.0041).

MSFC-based outcomes.

The likelihood of 6-month confirmed improvement in MSFC score from baseline to month 24 was greater for alemtuzumab than SC IFN-β-1a (OR [95% confidence interval] 1.80 [1.06, 3.08]; p = 0.0300). SC IFN-β-1a patients were significantly more likely than alemtuzumab patients to experience worsening MSFC (sustained for 6 months) at the ≥15% worsening threshold (27.58% vs 18.66%, p = 0.0143; figure 3A). At the ≥20% threshold, the proportion who experienced worsening MSFC was numerically higher with SC IFN-β-1a vs alemtuzumab, but the difference was not statistically significant (19.64% vs 13.48%, p = 0.0606).

Figure 3. Multiple Sclerosis Functional Composite (MSFC)–based disability outcomes.

Figure 3

(A) Patients with ≥15% worsening in MSFC scorea and mean (95% confidence interval [CI]) changes in (B) 9-Hole Peg Test, (C) Timed 25-Foot Walk, (D) Paced Auditory Serial Addition Test–3 (PASAT-3), and (E) 4-dimensional composite score, MSFC plus Sloan low-contrast letter acuity (SLCLA) (1.25% contrast). a Increase from baseline of ≥15% on ≥1 component sustained for at least 6 months. p Values are from proportional hazards regression with robust variance estimation and covariate adjustment for geographic region. Changes from baseline on MSFC Z scores analyzed using Wei-Lachin test and mixed model for repeated measures analyses with a time by treatment interaction and covariate adjustment for geographic region and baseline score. Wei-Lachin test statistics were 2.87 (9-Hole Peg Test), 1.61 (Timed 25-Foot Walk Test), 1.44 (PASAT-3), and 2.57 (MSFC + SLCLA). The Sloan chart was not administered to patients at Russian and Ukrainian sites because Sloan charts use Latin alphabetic characters that may have been unfamiliar to individuals in these countries (alemtuzumab, n = 47; subcutaneous interferon-β-1a [SC IFN-β-1a], n = 23). *p < 0.001 and **p < 0.05, between-treatment differences; †p < 0.05, within-treatment change from baseline.

Among MSFC components (figure 3, B–D), the greater benefit seen at month 24 with alemtuzumab vs SC IFN-β-1a reached statistical significance for the 9-HPT (p = 0.0007).

SLCLA-based outcomes.

Alemtuzumab patients had more favorable visual outcomes than those receiving SC IFN-β-1a. Compared with baseline, visual acuity in alemtuzumab patients was stable at 2.5% contrast (month 12 change from baseline: 0.00; month 24: −0.01; both p = not significant) and at 100% contrast (month 12: −0.06; month 24: −0.04; both p = not significant). SC IFN-β-1a–treated patients had a significant decline in visual acuity from baseline to month 12 and from baseline to month 24 at 1.25% contrast (month 12: −0.25; month 24: −0.19; both p < 0.01) and 2.5% contrast (month 12: −0.20; month 24: −0.21; both p < 0.001), and 100% contrast for month 24 (−0.16; p = 0.0105). Differences between treatment groups were significant at 2.5% contrast (month 12: p = 0.0005; month 24: p = 0.0014) and at month 12 at 1.25% contrast (p = 0.0005). For MSFC plus SLCLA, alemtuzumab-treated patients significantly improved from baseline to month 12 (0.04 [p = 0.0396]); the score at month 24 increased from but did not differ from baseline (0.04 [p = 0.0787]). SC IFN-β-1a–treated patients did not improve from baseline (month 12: −0.04 [p = 0.1600]; month 24: −0.06 [p = 0.0876]). The difference between treatment groups was significant at month 12 and month 24 (both p < 0.02; figure 3E).

DISCUSSION

Chronic disability plays a major role in the disease burden of MS. Current treatments may delay or prevent further increases in disability. However, few data exist concerning the ability of current treatments to help restore function over time in patients with previously acquired neurologic impairments,2,15 and there is a corresponding need for suitable metrics and analytic methods to reflect this novel outcome. Alemtuzumab was more effective than SC IFN-β-1a at improving disability outcomes, significantly reducing the risk of 6-month CDW, and increasing 6-month CDI.12 The clinical efficacy of alemtuzumab vs SC IFN-β-1a was maintained regardless of the type of prior DMTs (i.e., IFN-β-1a, IFN-β-1b, or GA).12 The current analysis demonstrates that, in patients with RRMS with an inadequate response to prior DMTs, alemtuzumab provides greater recovery of function across several disability measures than SC IFN-β-1a. The use of this active comparator in the CARE-MS studies set a high threshold for superiority compared with placebo-controlled studies of other DMTs.

The findings of EDSS improvement from baseline to month 24 in nearly half of the alemtuzumab-treated patients, with improvements in all 7 EDSS functional domains, suggest that such disabilities may often be reversible (at least partially) in patients with active RRMS if they receive suitable therapy, irrespective of the type of baseline functional deficit. Favorable disability outcomes were not directly attributable to relapse suppression since, in the absence of early on-study relapse, EDSS scores improved in alemtuzumab-treated patients but deteriorated in those treated with SC IFN-β-1a. Alemtuzumab also demonstrated significant improvements from baseline vs SC IFN-β-1a in mean EDSS AUC; this measure is less impacted than Kaplan-Meier analysis by transient fluctuations in EDSS scores typically observed in patients with RRMS.21 Another approach reported here is the relatively new outcome measure of CDI, which we first defined in our post hoc analysis of the phase 2 CAMMS223 trial. Rather than utilizing group means, CDI captures sustained and clinically meaningful EDSS score changes in individual patients, and thus has a simple clinical interpretation. By requiring repeated confirmation of EDSS change, it is resistant to transient fluctuations compared with single-timepoint analyses. Furthermore, this outcome only includes patients who have at least minimal preexisting neurologic impairment.11 Collectively, alemtuzumab-associated functional recovery reflected in a variety of EDSS-based measures represents an important, clinically meaningful benefit beyond slowing or preventing neurologic deterioration.

When assessing disability progression in MS, sensitivity to change can be enhanced by combining different outcome measures.14 The EDSS is the most familiar and commonly used neurologic disability index in MS trials, but has been criticized for its emphasis on ambulation and insensitivity to other disability components (e.g., cognition), especially at lower scores.13 The MSFC, which includes assessment of cognition, was selected to supplement the EDSS.16 From baseline to month 24, improvements in MSFC and MSFC plus SLCLA scores were significantly greater with alemtuzumab vs SC IFN-β-1a. Previously, MSFC worsening (≥15% and ≥20% worsening from baseline on at least one MSFC component and sustained for ≥3 months) was shown to correlate with EDSS, relapse rates, and some patient-reported outcomes; 15% was the more sensitive threshold to treatment effects.18 Alemtuzumab demonstrated significant benefit over SC IFN-β-1a at the 15% threshold over ≥6 months. The effect of alemtuzumab differed across MSFC component scores; the strongest treatment effects were observed on the 9-HPT, indicating that improvement in upper limb function with alemtuzumab drove improvement on the MSFC composite score.

The analyses supporting DMT-induced improvement in preexisting disability reported here were prespecified and should be evaluated in the context of other published trials. The present findings are consistent with a post hoc analysis of CAMMS223,22 which enrolled treatment-naive patients with RRMS. Improvements in preexisting disability were also reported from placebo-controlled but not active-controlled trials of natalizumab, and only using the 3-month-sustained (not 6-month) criterion,15 and from a placebo-controlled GA trial.2 In the present, active-controlled study, CDI was achieved by significantly more alemtuzumab-treated than SC IFN-β-1a–treated patients using either 3- or 6-month confirmed criteria.

The mechanisms underlying the greater observed improvement in preexisting disability after alemtuzumab are uncertain. Improvement does not reflect the expected recovery from recent prestudy relapses. Moreover, the finding that mean disability did not improve with SC IFN-β-1a even among those who had no clinically evident inflammatory activity on study suggests that disability improvement after alemtuzumab is not fully explained by superior reduction of inflammation. However, alemtuzumab's more efficacious inhibition of CNS inflammation may provide a tissue environment that better supports endogenous remyelination and repair mechanisms. Another possible mechanism involves neurotrophic factors secreted by CNS-trafficking immune cells, which have been postulated to contribute to neuroprotection and remyelination in MS.25,26 In one study, immune cells repopulating after alemtuzumab treatment for MS secreted neurotrophic factors, including brain-derived neurotrophic factor and ciliary neurotrophic factor, after exposure to myelin basic protein in vitro.22 Further studies are necessary to confirm a role for neurotrophic mechanisms in the stabilization or improvement in disability observed in alemtuzumab-treated patients with MS.

Differences in timing, mode of administration, and side effect profiles for alemtuzumab and SC IFN-β-1a made a true double-blind design unfeasible, which may be considered a limitation of this study. However, to minimize potential bias, key efficacy assessments, including EDSS, MSFC, Sloan charts, and on-study relapses, were performed by trained evaluators blinded to treatment, and all suspected relapses were adjudicated by an independent, blinded relapse adjudication panel.

Alemtuzumab's clinical efficacy in CARE-MS II and associated greater beneficial effects than those of SC IFN-β-1a on disability outcomes should be considered in the context of the risks, including infusion-associated reactions, infections, and autoimmune adverse events.12,27 Measures to manage these potentially serious risks are essential for the safe use of alemtuzumab.

The outcomes presented here not only support alemtuzumab's ability to slow disability accumulation, but also demonstrate superior benefit in improving preexisting disability in patients with RRMS with an inadequate response to prior DMT. These data add to the body of evidence supporting a favorable benefit-risk profile of alemtuzumab in the treatment of RRMS.

Supplementary Material

Coinvestigators
Accompanying Editorial

ACKNOWLEDGMENT

Statistical support for response to reviewers' comments was provided by Karthinathan Thangavelu, PhD (Sanofi Genzyme, Cambridge, MA). Critical review of the manuscript was conducted by Aji Nair, PhD, who was employed at Sanofi Genzyme during the development of the manuscript. The CARE-MS II study was funded by Sanofi Genzyme and Bayer HealthCare Pharmaceuticals. Linda Kasten (Prometrika, LLC, Cambridge, MA) contributed to statistical analyses, which were funded by Sanofi Genzyme.

GLOSSARY

9-HPT

9-Hole Peg Test

ANCOVA

analysis of covariance

AUC

area under the curve

CARE-MS II

Comparison of Alemtuzumab and Rebif Efficacy in Multiple Sclerosis II

CDI

confirmed disability improvement

CDW

confirmed disability worsening

DMT

disease-modifying therapy

EDSS

Expanded Disability Status Scale

GA

glatiramer acetate

HR

hazard ratio

IFN-β-1a

interferon-β-1a

MS

multiple sclerosis

MSFC

Multiple Sclerosis Functional Composite

OR

odds ratio

RRMS

relapsing-remitting multiple sclerosis

SC

subcutaneous

SLCLA

Sloan low-contrast letter acuity

Footnotes

Editorial, page 1966

Supplemental data at Neurology.org

Contributor Information

Collaborators: CARE-MS II Investigators, Doug Arnold, Jeffrey A. Cohen, Alasdair Coles, Alastair Compston, Christian Confavreux, Edward Fox, Hans-Peter Hartung, Eva Havrdova, Krzysztof Selmaj, Howard Weiner, Hillel Panitch, David Clifford, Jack Antel, Frederik Barkhof, David Snydman, Leslie DeGroot, Douglas Cines, Ralph D'Agostino, Benjamin Greenberg, Jörg Krauss, Volker Limmroth, Clyde Markowitz, Robert Naismith, David Tabby, Norma Haydee Deri, Karyn Boundy, Simon Broadley, Michael D. Dreyer, Suzanne Hodgkinson, John Owen King, Richard Macdonell, FAFRM RACP, Pamela Ann McCombe, Mark A. Paine, Stephen Reddel, Raymond Schwartz, Steve Vucic, MD. Karl Vass, PhD Dominique Dive, Benedicte D.P. Dubois, Christian Sindic, Dagoberto Callegaro, Maria Lucia B. Ferreira, Marcio Mena Barreto Martins, Charles Tilbery, Charles Ayotte, Donald G. Brunet, Mark S. Freedman, Francois Grand’Maison, Francois H. Jacques, Marcelo Kremenchutzky, Anthony L. Traboulsee, MD Licia Antonelli, Vesna Brinar, Mario Habek, Spomenka Kidemet Piskać, Zlatko Trkanjec, Anton Vladić, Ivana Kovarova, Ivan Rektor, Radomir Talab, Marta Vachova, Thor Petersen, Mads Ravnborg, Per Soelberg Sørensen, Michel Clanet, Pierre Clavelou, Jerome de Seze, Marc Debouverie, Gilles Edan, Catherine Lubetzki, Thibault Moreau, Patrick Vermersch, Karl Baum, Judith Haas, Bernhard Hemmer, U. Herrlinger, Wolfgang Köhler, Gunter Ochs, Martin Stangel, Hayrettin Tumani, Peter P. Urban, U. Klaus Zettl, Tjalf Ziemssen, Anat Achiron, Arnon Karni, Adi Vaknin Dembinsky, Antonio Bertolotto, Ruggero Capra, Giancarlo Comi, Luca Durelli, Angelo Ghezzi, Giovanni L. Mancardi, Maria Giovanna Marrosu, Carlo Pozzilli, Noemi Santos Caballero, Claudia Venzor Mendoza, Jesus Arturo Violante Villanueva, Raymond M.M. Hupperts, Erik van Munster, Wojciech Kozubski, Krzysztof Selmaj, Zbigniew Stelmasiak, Evgeniy R. Barantsevich, DMedSc, Anna N. Belova, Alexei N. Boyko, Evgeny I. Gusev, Nadezhda A. Malkova, Semen V. Perfiliev, Irina E. Poverennova, Alexander A. Skoromets, Igor D. Stolyarov, Eduard Z. Yakupov, Igor A. Zavalishin, Evica Dinčić, Jelena Drulović, Čongor Nadj, Gordana Tončev, Rafael Arroyo González, Guillermo Izquierdo Ayuso, Óscar Fernández, Xavier Montalbán, Jan Lycke, Anders Svenningsson, Tetyana O. Kobys, Tetyana I. Nehrych, Natalia P. Voloshyna, Gavin Giovannoni, David J. Rog, Neil James Scolding, Basil Sharrack, Nuhad E. Abou Zeid, Mark A. Agius, Ann Doan-Do Bass, G. Kim Bigley, Jr, Roberto Bomprezzi, Aaron Boster, Christine M. Boutwell, Tiffany J. Braley, Mark C. Cascione, Gary Clauser, Joanna A. Cooper, Heidi J. Crayton, Jeffrey Dunn, Keith R. Edwards, Stanton Elias, Bradley K. Evans, Mark H. Fletcher, Corey C. Ford, Elliot M. Frohman, Suzanne K. Gazda, Thomas Giancarlo, Jeffrey S. Gitt, Steven A. Glyman, Andrew Goodman, Christopher Gottschalk, Malcolm H. Gottesman, Erica M. Grazioli, Mark Gudesblatt, Ajay S. Gupta, Joseph Herbert, W. David Honeycutt, Bruce L. Hughes, Samuel F. Hunter, Todd J. Janus, Adil Javed, Davis E. Jones, Burk Jubelt, Lily Jung Henson, Omar Azhar Khan, Mariko Kita, Stephen Kirzinger, Stephen Krieger, Stanley J. Krolczyk, Christopher C. LaGanke, Enrico C. Lallana, Ellen S. Lathi, Neil S. Lava, Sharon G. Lynch, Bennett-Irving Machanic, Silva Markovic-Plese, David H. Mattson, Daniel D. Mikol, Aaron Miller, Tamara Ann Miller, Alireza Minagar, Galen W. Mitchell, Harold Moses, Jr, Donald Negroski, Gabriel Pardo, Mary Ann Picone, Jana Preiningerova, Kottil W. Rammohan, Claire S Riley, Peter N. Riskind, Syed A. Rizvi, Michael Rossen, Ted L. Rothstein, Vernon D. Rowe, III, Walter Royal, III, John D. Schaeffer, Christopher A. Sheppard, Richard A. Shubin, Scott L. Silliman, Barry A. Singer, Lee S. Stein, Brian Steingo, Herman C. Sullivan, Timothy K. Thoits, Ben W. Thrower, Cary L. Twyman, Anand G. Vaishnav, Stephen Gerard Vincent, Timothy Vollmer, Stephen R. Waldman, Leslie P. Weiner, Jeanette K. Wendt, Dean M. Wingerchuk, Sibyl E. Wray, and Daniel R. Wynn

AUTHOR CONTRIBUTIONS

Statistical analysis was performed primarily by Stephen L. Lake (Sanofi Genzyme, Cambridge, MA). G.G., J.A.C., A.J.C., H.-P.H., E.H., K.W.S., D.H.M., M.A.P., and D.A.S.C. contributed to study design, data collection, and writing and critical review of the manuscript, and approved the final submission draft. S.L.L. led the statistical support, contributed to the writing and critical review of the manuscript, and approved the final submission draft. S.M.K. provided editorial and medical writing support (assistance in drafting the manuscript, technical editing, copyediting, and responding to reviewers’ comments).

STUDY FUNDING

Supported by Sanofi Genzyme and Bayer HealthCare Pharmaceuticals.

DISCLOSURE

G. Giovannoni reports receiving compensation for consulting and receiving grant/research support from Abbvie, Bayer HealthCare Pharmaceuticals, Biogen, Canbex, Five Prime, GlaxoSmithKline, GW Pharma, Merck Serono, Novartis, Oxford PharmaGenesis, Protein Discovery Laboratories, Roche, Sanofi Genzyme, Synthon, Teva, and UCB. J. Cohen reports receiving personal compensation for consulting from Genentech, Novartis, Receptos, and Sanofi Genzyme, and speaking fees from Teva. A. Coles reports receiving consulting fees, lecture fees, and institutional grant support from Sanofi Genzyme. H.-P. Hartung reports receiving honoraria for consulting and speaking from Bayer HealthCare Pharmaceuticals, Biogen, CSL Behring, Grifols, Merck Serono, Novartis, Roche, and Sanofi Genzyme. E. Havrdova reports receiving honoraria and grant support from Actelion, Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme, and Teva and research support from the Ministry of Education, Czech Republic (project PRVOUK-P26/LF1/4). K. Selmaj reports receiving consulting and speaking fees from Biogen, Merck, Novartis, Roche, Sanofi Genzyme, and Synthon. D. Margolin reports receiving personal compensation as an employee of Sanofi Genzyme. S. Lake reports receiving personal compensation as an employee of Sanofi Genzyme. S. Kaup reports receiving personal compensation as an employee of Evidence Scientific Solutions when the work was conducted. M. Panzara reports receiving personal compensation as an employee of Sanofi Genzyme. D. Compston reports receiving consulting fees and grant support from Sanofi Genzyme and lecture fees from Bayer Schering Pharma on behalf of the University of Cambridge and personal remuneration for lecture fees from Sanofi Genzyme. Go to Neurology.org for full disclosures.

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