Abstract
BACKGROUND AND PURPOSE: There is a lack of evidence guiding discontinuation of disease-modifying therapy (DMT) in relapsing multiple sclerosis (RMS). Thus, the objective of this study was to generate and validate a risk score for disease reactivation after DMT discontinuation in RMS. METHODS: We drew a generation and validation dataset from two separate prospectively collected observational databases including RMS patients who received interferon-β or glatiramer acetate for ≥12 months, then discontinued DMT for ≥6 months and had ≥2 years of follow-up available. In the generation sample (n = 168), regression analysis was performed to identify clinical or magnetic resonance imaging (MRI) variables independently predicting disease reactivation after DMT discontinuation. A predictive score was calculated using the variables included in the multivariable model and applied to the validation sample (n = 98). RESULTS: The variables included in the final model as independent predictors of disease reactivation were age at discontinuation, MRI activity at discontinuation, and duration of clinical stability (all p < 0.001). The resulting score was able to robustly identify patients at high (83%-85%), moderate (36%-38%), and low risk (7%) of disease reactivation within 5 years after DMT discontinuation in both cohorts. CONCLUSIONS: The composite VIAADISC score is a valuable tool to inform and support patients and neurologists in the process of decision making to discontinue injectable DMTs.