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Long-term disability progression in primary progressive multiple sclerosis: a 15-year study

Authors :
Enrico Montanari
Angelo Ghezzi
Alice Laroni
Massimo Filippi
Maria Pia Sormani
Giancarlo Comi
Antonio Bertolotto
Maria A. Rocca
Roberto Bergamaschi
Domenico Caputo
Vittorio Martinelli
Marco Rovaris
Rocca, Maria A
Sormani, Maria Pia
Rovaris, Marco
Caputo, Domenico
Ghezzi, Angelo
Montanari, Enrico
Bertolotto, Antonio
Laroni, Alice
Bergamaschi, Roberto
Martinelli, Vittorio
Comi, Giancarlo
Filippi, Massimo
Source :
Brain. 140:2814-2819
Publication Year :
2017
Publisher :
Oxford University Press (OUP), 2017.

Abstract

Prognostic markers of primary progressive multiple sclerosis evolution are needed. We investigated the added value of magnetic resonance imaging measures of brain and cervical cord damage in predicting long-term clinical worsening of primary progressive multiple sclerosis compared to simple clinical assessment. In 54 patients, conventional and diffusion tensor brain scans and cervical cord T1-weighted scans were acquired at baseline and after 15 months. Clinical evaluation was performed after 5 and 15 years in 49 patients. Lesion load, brain and cord atrophy, mean diffusivity and fractional anisotropy values from the brain normal-appearing white matter and grey matter were obtained. Using linear regression models, we screened the clinical and imaging variables as independent predictors of 15-year disability change (measured on the expanded disability status scale). At 15 years, 90% of the patients had disability progression. Integrating clinical and imaging variables at 15 months predicted disability changes at 15 years better than clinical factors at 5 years (R2 = 61% versus R2 = 57%). The model predicted long-term disability change with a precision within one point in 38 of 49 patients (77.6%). Integration of clinical and imaging measures allows identification of primary progressive multiple sclerosis patients at risk of long-term disease progression 4 years earlier than when using clinical assessment alone.

Details

ISSN :
14602156 and 00068950
Volume :
140
Database :
OpenAIRE
Journal :
Brain
Accession number :
edsair.doi.dedup.....298145684d1445866c38346b9a98fbe4
Full Text :
https://doi.org/10.1093/brain/awx250