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 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 6
  • Publication Date: 2015
  • Doi Number: 10.1111/ene.12696
  • Journal Name: EUROPEAN JOURNAL OF NEUROLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.981-989
  • Keywords: Bayes, multiple sclerosis, natural history, prognosis, registry, score, LONG-TERM EVOLUTION, PROGNOSTIC-FACTORS, HISTORY, DISABILITY, PROGRESSION
  • Karadeniz Technical University Affiliated: Yes

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.