A composite score to predict short-term disease activity in patients with relapsing-remitting MS

Abstract

Objective: To generate and validate a composite (clinical and MRI-based) score able to identify individual patients with relapsing-remitting multiple sclerosis (RRMS) with a high risk of experiencing relapses in the short term.

Methods: The study was conducted using data from a working and a validation dataset. The former consisted of 539 patients from the placebo arm of a double-blind, placebo-controlled trial of oral glatiramer acetate (GA) in RRMS. The validation sample consisted of 117 patients from the placebo arm of a double-blind, placebo-controlled trial of subcutaneous GA in RRMS. In the working sample, regression analysis was performed to identify clinical or MRI variables independently predicting the occurrence of relapses. A linear predictive score was calculated using the variables included in the multivariable model and the corresponding estimated coefficients. Such a score was then applied to the validation sample.

Results: The variables included in the final model as independent predictors of relapse occurrence were the number of enhancing lesions on a baseline MRI (p < 0.001) and the number of relapses during the previous 2 years (p < 0.001). The resulting score was able to identify patients at high and low risk of relapse occurrence both in the working and in the validation samples.

Conclusions: The composite, clinical/MRI score presented here, which allows us to estimate the short-term risk of relapses in patients with relapsing-remitting multiple sclerosis, may provide us with an additional and useful piece of information for a better planning of phase III trials in multiple sclerosis.