Early prediction of the long term evolution of multiple sclerosis

The Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score

Roberto Bergamaschi, Silvana Quaglini, Maria Trojano, Maria Pia Amato, Eleonora Tavazzi, Damiano Paolicelli, Valentino Zipoli, Alfredo Romani, Aurora Fuiani, Emilio Portaccio, Carlo Berzuini, Cristina Montomoli, Stefano Bastianello, Vittorio Cosi

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

Aim: To propose a simple tool for early prediction of unfavourable long term evolution of multiple sclerosis (MS). Methods: A Bayesian model allowed us to calculate, within the first year of disease and for each patient, the Bayesian Risk Estimate for MS (BREMS) score that represents the risk of reaching secondary progression (SP). Results: The median BREMS scores were higher in 158 patients who reached SP within 10 years compared with 1087 progression free patients (0.69 vs 0.30; p

Original languageEnglish
Pages (from-to)757-759
Number of pages3
JournalJournal of Neurology, Neurosurgery and Psychiatry
Volume78
Issue number7
DOIs
Publication statusPublished - Jul 2007

Fingerprint

Multiple Sclerosis
Bayes Theorem

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Neuroscience(all)
  • Psychiatry and Mental health

Cite this

Early prediction of the long term evolution of multiple sclerosis : The Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score. / Bergamaschi, Roberto; Quaglini, Silvana; Trojano, Maria; Amato, Maria Pia; Tavazzi, Eleonora; Paolicelli, Damiano; Zipoli, Valentino; Romani, Alfredo; Fuiani, Aurora; Portaccio, Emilio; Berzuini, Carlo; Montomoli, Cristina; Bastianello, Stefano; Cosi, Vittorio.

In: Journal of Neurology, Neurosurgery and Psychiatry, Vol. 78, No. 7, 07.2007, p. 757-759.

Research output: Contribution to journalArticle

Bergamaschi, R, Quaglini, S, Trojano, M, Amato, MP, Tavazzi, E, Paolicelli, D, Zipoli, V, Romani, A, Fuiani, A, Portaccio, E, Berzuini, C, Montomoli, C, Bastianello, S & Cosi, V 2007, 'Early prediction of the long term evolution of multiple sclerosis: The Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score', Journal of Neurology, Neurosurgery and Psychiatry, vol. 78, no. 7, pp. 757-759. https://doi.org/10.1136/jnnp.2006.107052
Bergamaschi, Roberto ; Quaglini, Silvana ; Trojano, Maria ; Amato, Maria Pia ; Tavazzi, Eleonora ; Paolicelli, Damiano ; Zipoli, Valentino ; Romani, Alfredo ; Fuiani, Aurora ; Portaccio, Emilio ; Berzuini, Carlo ; Montomoli, Cristina ; Bastianello, Stefano ; Cosi, Vittorio. / Early prediction of the long term evolution of multiple sclerosis : The Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score. In: Journal of Neurology, Neurosurgery and Psychiatry. 2007 ; Vol. 78, No. 7. pp. 757-759.
@article{70caf894e5254d6988daf1d3b4e7f7a0,
title = "Early prediction of the long term evolution of multiple sclerosis: The Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score",
abstract = "Aim: To propose a simple tool for early prediction of unfavourable long term evolution of multiple sclerosis (MS). Methods: A Bayesian model allowed us to calculate, within the first year of disease and for each patient, the Bayesian Risk Estimate for MS (BREMS) score that represents the risk of reaching secondary progression (SP). Results: The median BREMS scores were higher in 158 patients who reached SP within 10 years compared with 1087 progression free patients (0.69 vs 0.30; p",
author = "Roberto Bergamaschi and Silvana Quaglini and Maria Trojano and Amato, {Maria Pia} and Eleonora Tavazzi and Damiano Paolicelli and Valentino Zipoli and Alfredo Romani and Aurora Fuiani and Emilio Portaccio and Carlo Berzuini and Cristina Montomoli and Stefano Bastianello and Vittorio Cosi",
year = "2007",
month = "7",
doi = "10.1136/jnnp.2006.107052",
language = "English",
volume = "78",
pages = "757--759",
journal = "Journal of Neurology, Neurosurgery and Psychiatry",
issn = "0022-3050",
publisher = "BMJ Publishing Group",
number = "7",

}

TY - JOUR

T1 - Early prediction of the long term evolution of multiple sclerosis

T2 - The Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score

AU - Bergamaschi, Roberto

AU - Quaglini, Silvana

AU - Trojano, Maria

AU - Amato, Maria Pia

AU - Tavazzi, Eleonora

AU - Paolicelli, Damiano

AU - Zipoli, Valentino

AU - Romani, Alfredo

AU - Fuiani, Aurora

AU - Portaccio, Emilio

AU - Berzuini, Carlo

AU - Montomoli, Cristina

AU - Bastianello, Stefano

AU - Cosi, Vittorio

PY - 2007/7

Y1 - 2007/7

N2 - Aim: To propose a simple tool for early prediction of unfavourable long term evolution of multiple sclerosis (MS). Methods: A Bayesian model allowed us to calculate, within the first year of disease and for each patient, the Bayesian Risk Estimate for MS (BREMS) score that represents the risk of reaching secondary progression (SP). Results: The median BREMS scores were higher in 158 patients who reached SP within 10 years compared with 1087 progression free patients (0.69 vs 0.30; p

AB - Aim: To propose a simple tool for early prediction of unfavourable long term evolution of multiple sclerosis (MS). Methods: A Bayesian model allowed us to calculate, within the first year of disease and for each patient, the Bayesian Risk Estimate for MS (BREMS) score that represents the risk of reaching secondary progression (SP). Results: The median BREMS scores were higher in 158 patients who reached SP within 10 years compared with 1087 progression free patients (0.69 vs 0.30; p

UR - http://www.scopus.com/inward/record.url?scp=34347241725&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34347241725&partnerID=8YFLogxK

U2 - 10.1136/jnnp.2006.107052

DO - 10.1136/jnnp.2006.107052

M3 - Article

VL - 78

SP - 757

EP - 759

JO - Journal of Neurology, Neurosurgery and Psychiatry

JF - Journal of Neurology, Neurosurgery and Psychiatry

SN - 0022-3050

IS - 7

ER -