BREMSO: a simple score to predict early the natural course of multiple sclerosis


BERGAMASCHI R., MONTOMOLI C., MALLUCCI G., LUGARESI A., IZQUIERDO G., GRAND'MAISON F., ...More

EUROPEAN JOURNAL OF NEUROLOGY, vol.22, no.6, pp.981-989, 2015 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 6
  • Publication Date: 2015
  • Doi Number: 10.1111/ene.12696
  • Title of Journal : EUROPEAN JOURNAL OF NEUROLOGY
  • Page Numbers: pp.981-989
  • Keywords: Bayes, multiple sclerosis, natural history, prognosis, registry, score, LONG-TERM EVOLUTION, PROGNOSTIC-FACTORS, HISTORY, DISABILITY, PROGRESSION

Abstract

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.