Magnetic resonance active lesions as individual-level surrogate for relapses in multiple sclerosis

Author:

Sormani Maria Pia1,Stubinski Bettina2,Cornelisse Peter2,Rocak Sanda2,Li David3,Stefano Nicola De4

Affiliation:

1. Biostatistics Unit, Department of Health Sciences, University of Genoa, Genoa, Italy.

2. Merck Serono SA, Geneva, Switzerland.

3. University of British Columbia, Vancouver, British Columbia, Canada.

4. Department of Neurological and Behavioral Sciences, University of Siena, Siena, Italy.

Abstract

Background: Use of quantitative magnetic resonance imaging (MRI) metrics as surrogates for clinical outcomes in multiple sclerosis (MS) trials is controversial. Objectives: We sought to validate, at the individual-patient level, the number of MRI active lesions, as a surrogate marker for relapses in MS. Methods: Individual-patient data from two large, placebo-controlled clinical trials of subcutaneous interferon β-1a in patients with relapsing–remitting or secondary progressive (SP) MS were analysed separately and as pooled data. The four Prentice criteria were applied to assess surrogacy for the number of new T2 MRI lesions. The predictive value of short-term treatment effects on this MRI marker for longer-term clinical relapses was also assessed. Results: All Prentice criteria were satisfied. The number of new T2 MRI lesions correlated with the number of relapses over the follow-up period. The proportion of treatment effect on relapses accounted for by the effect of treatment on new T2 MRI lesions over 2 years was 53% in patients with relapsing–remitting MS, 67% in patients with secondary progressive MS, and 62% in pooled data. In the pooled data, treatment effects on new lesions over 1 year mediated a good proportion (70%) of effects on relapses over the subsequent year. Conclusions: This study provides evidence that new T2 MRI lesion count is a surrogate for relapses in patients with MS treated with interferon or drugs with a similar mechanism of action. Short-term treatment effects on this MRI measure can predict longer-term effects on relapses.

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

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