EUROPEAN JOURNAL OF NEUROLOGY, vol.22, no.6, pp.981-989, 2015 (Journal Indexed in SCI)
Article / Article
Title of Journal :
EUROPEAN JOURNAL OF NEUROLOGY
Bayes, multiple sclerosis, natural history, prognosis, registry, score, LONG-TERM EVOLUTION, PROGNOSTIC-FACTORS, HISTORY, DISABILITY, PROGRESSION
Background and purposeEarly prediction of long-term disease evolution is a major challenge in the management of multiple sclerosis (MS). Our aim was to predict the natural course of MS using the Bayesian Risk Estimate for MS at Onset (BREMSO), which gives an individual risk score calculated from demographic and clinical variables collected at disease onset.