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Updated: Jul 5, 2025
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
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Predictors of relapse severity in multiple sclerosis.
Cavid Baba1, Zuhal Abasiyanik2, Yasemin Simsek3
1Institute of Health Sciences, Dokuz Eylul University, Yenikale Mahallesi Sutculer Caddesi N7 D7 Narlıdere, Izmir, Turkey. cavidbaba@hotmail.com.
Acta Neurologica Belgica
|January 18, 2024
Summary
Disease duration and Body Mass Index (BMI) predict multiple sclerosis (MS) relapse severity. BMI is a modifiable factor that may aid in managing MS exacerbations.
Area of Science:
- Neurology
- Clinical Research
- Epidemiology
Background:
- Relapse severity in multiple sclerosis (MS) influences residual disability and progression.
- Predictors of MS relapse severity remain incompletely understood.
Purpose of the Study:
- To predict relapse severity in MS patients.
- To examine the link between relapse severity and recovery in physical, cognitive, and social functions.
Main Methods:
- Prospective observational study of MS relapses.
- Classification of relapses as mild, moderate, or severe.
- Assessment of physical, cognitive, and quality-of-life measures before treatment and one month post-remission.
- Multinomial regression analysis for predicting relapse severity.
Main Results:
- Disease duration and Body Mass Index (BMI) were significantly associated with MS relapse severity.
- Improvements in the Multiple Sclerosis International Quality of Life (MusiQol) questionnaire and Symbol Digit Modalities Test (SDMT) correlated with relapse severity.
- Higher improvement rates were noted in severe relapse groups for MusiQol and SDMT.
Conclusions:
- Disease duration is a key predictor of MS relapse severity among disease-related factors.
- BMI presents as a potentially modifiable patient factor for managing MS exacerbations.
Keywords:
Advanced age and relapse severityBMIDisease duration and relapse severityMultiple sclerosis relapse severityPredictors of relapse severitySDMTMore Related Videos
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