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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Multiple sclerosis relapses: a multivariable analysis of residual disability determinants
M Vercellino1, A Romagnolo, A Mattioda
1Department of Neuroscience, University of Turin, Italy.
Acta Neurologica Scandinavica
|August 8, 2008
Summary
Incomplete recovery from multiple sclerosis (MS) relapses within one month predicts long-term disability. Severe relapses increase disability risk, but immunomodulating treatments may reduce this risk.
Area of Science:
- Neurology
- Clinical Research
- Disability Studies
Background:
- Multiple sclerosis (MS) relapse recovery varies significantly.
- Factors contributing to persistent residual disability (RD) after MS relapses require further investigation.
Purpose of the Study:
- To evaluate residual disability (RD) following MS relapses.
- To identify factors associated with the persistence of RD.
Main Methods:
- Retrospective analysis of 174 relapses in relapsing-remitting MS patients over 3 years.
- Assessment of relapse severity and RD using the Expanded Disability Status Scale (EDSS) at 1 year.
- Multivariable analysis incorporating age, gender, disease duration, oligoclonal bands, relapse severity, relapse type, immunomodulating treatment, and early recovery status.
Main Results:
- Residual disability (RD) was observed in 54.5% of relapses at 1 year.
- Severe relapses were linked to a higher risk of RD (P = 0.024).
- Incomplete recovery at 1 month strongly predicted RD at 1 year (P < 0.0001).
- Severe relapse risk was associated with age ≤ 30 years (P = 0.025) and inversely with immunomodulating treatment (P = 0.006).
Conclusions:
- Incomplete recovery within one month is a key predictor of persistent residual disability (RD) in MS.
- Higher relapse severity correlates with an increased risk of long-term RD.
- Immunomodulating treatments appear to reduce the risk of severe relapses in MS patients.
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