TY - JOUR
T1 - Early prediction of the long term evolution of multiple sclerosis: 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
U2 - 10.1136/jnnp.2006.107052
DO - 10.1136/jnnp.2006.107052
M3 - Article
SN - 0022-3050
VL - 78
SP - 757
EP - 759
JO - Journal of Neurology, Neurosurgery and Psychiatry
JF - Journal of Neurology, Neurosurgery and Psychiatry
IS - 7
ER -