Journal article
The impact of multiple sclerosis relapses on worsening over the long term; insights in the treatment era
Journal of the neurological sciences, v 413, 116773
15 Jun 2020
PMID: 32193023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Relapses of multiple sclerosis (MS) are the clinical manifestations of inflammatory events involving eloquent anatomical structures within the central nervous system. Relapses are associated with worsening disability of MS patients in both early and later disease, even after progressive features are seen. The impact of relapses on the long-term course of the disease is now being realized as a generation of treated patients is now elderly. New MRI brain lesions can be viewed as a radiologic manifestation of acute inflammation and are associated with similar prognostic value. The complex relationship between clinical relapse activity and later slow progressive worsening remains incompletely understood, however, there is increasing biological plausibility for a causative association between relapse activity and lifelong disability.
•MS relapses are acute inflammatory events, a hallmark of MS.•MRI activity shares underlying processes with clinical events of relapse.•A complex relationship exists between relapses and slow progressive decline.•Improving prognosis supports the importance of relapse reduction.•A likely treatment gap is exposed through the study of relapses.
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Details
- Title
- The impact of multiple sclerosis relapses on worsening over the long term; insights in the treatment era
- Creators
- Thomas F. Scott - Allegheny General HospitalNicholas Bertha - Penn State Milton S. Hershey Medical Center
- Publication Details
- Journal of the neurological sciences, v 413, 116773
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurology
- Web of Science ID
- WOS:000538109900014
- Scopus ID
- 2-s2.0-85081690176
- Other Identifier
- 991019167529904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Neurosciences