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Long-term follow up of patients with clinically isolated syndromes, relapsing-remitting and secondary progressive multiple sclerosis
Maja Eriksson
Institute of Clinical Neuroscience, Sahlgrenska University Hospital, Gothenburg, Sweden
Oluf Andersen
Institute of Clinical Neuroscience, Sahlgrenska University Hospital, Gothenburg, Sweden, oluf.andersen{at}neuro.gu.se
Björn Runmarker
Institute of Clinical Neuroscience, Sahlgrenska University Hospital, Gothenburg, Sweden
This paper extends on previous data on prognosis in multiple sclerosis (MS), to encompass the entire course of the disease. The first episode suggestive of MS [the clinically isolated syndrome (CIS)] was included as a starting point, and the speed of secondary progression as an end point. Primary progressive MS was not included. Unique preconditions, with one neurological service covering the G öteborg district, allowed for establishing a strictly population-based, essentially untreated 15-year incidence cohort of 308 MS patients who were followed for 25 years. Survival analysis was performed as Kaplan -Meyer graphs, and independent predictors were ascertained by C ox regression analysis. A matrix of several predictors and end points was created. From C IS, a higher risk of developing clinically definite MS (C DMS), secondary progressive course and Disability Status Scale 7 (DSS7) was predicted by efferent tract lesions. However, less than 25% had reached DSS7 25 years after C IS with pure afferent lesions or other favorable predicto rs. During the first five years, higher relapse frequency, as well as incomplete remission of early bouts, predicted higher risks of secondary progressive course and DSS7 during follow-up to 25 years. However, these early predictors were unable to predict the rate of progression, which seems to contain an element of the disease process unassociated with its early events. O nly late predictors, such as a shorter time from onset to secondary progression (1-10 years) and a higher number of functional systems involved at onset of progression predicted a faster progression rate. Predictors from this study could be used to refine historically controlled trials.
Key Words: epidemiology multiple sclerosis prognosis survival analysis
Multiple Sclerosis, Vol. 9, No. 3,
260-274 (2003)
DOI: 10.1191/1352458503ms914oa

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