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., ...Daha Fazla

EUROPEAN JOURNAL OF NEUROLOGY, cilt.22, sa.6, ss.981-989, 2015 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Sayı: 6
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1111/ene.12696
  • Dergi Adı: EUROPEAN JOURNAL OF NEUROLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.981-989
  • Anahtar Kelimeler: Bayes, multiple sclerosis, natural history, prognosis, registry, score, LONG-TERM EVOLUTION, PROGNOSTIC-FACTORS, HISTORY, DISABILITY, PROGRESSION
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

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.