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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.
Glossary
- EDSS=
- Expanded Disability Status Scale;
- GA=
- glatiramer acetate;
- Gd=
- gadolinium;
- HR=
- hazard ratio;
- MS=
- multiple sclerosis;
- RRMS=
- relapsing-remitting multiple sclerosis.
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