Natural history of multiple sclerosis in a population-based cohort

Background and purpose:  We sought to identify predictive clinical factors of disability during initial course in multiple sclerosis (MS) patients. Methods:  A total of 2871 MS patients from the LORSEP (Lorraine Multiple Sclerosis) population‐based cohort were analyzed. The relationships between bas...

Full description

Saved in:
Bibliographic Details
Published in:European journal of neurology Vol. 15; no. 9; pp. 916 - 921
Main Authors: Debouverie, M., Pittion-Vouyovitch, S., Louis, S., Guillemin, F.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-09-2008
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background and purpose:  We sought to identify predictive clinical factors of disability during initial course in multiple sclerosis (MS) patients. Methods:  A total of 2871 MS patients from the LORSEP (Lorraine Multiple Sclerosis) population‐based cohort were analyzed. The relationships between baseline demographic, clinical predictors and time to assignment of Expanded Disability Status Scale (EDSS) scores of 3, 4 and 6 were assessed using a Cox regression model. Results:  Multivariate analysis showed that, for relapsing–remitting patients, a shorter time to assignment of an EDSS score of 4 was associated with an older age of onset of MS and incomplete recovery from the first relapse. Median times were not influenced by gender or the time between the first two relapses. The results also demonstrated that MS progression is independent of the initial clinical data once an EDSS score of 4 is reached rather than a score of 3 because the time from EDSS 3 to assignment of EDSS 4 were correlated with predicting variables. The data were very different for the time between assignment of scores of 4 and 6 because the median times were not influenced by any of the predicting variables.
Bibliography:ArticleID:ENE2241
ark:/67375/WNG-FSNBJGSJ-R
istex:18B92824381011727FD3565CF4D33B714C11400F
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:1351-5101
1468-1331
DOI:10.1111/j.1468-1331.2008.02241.x