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Redefining the Multiple Sclerosis Severity Score (MSSS): The effect of sex and onset phenotype
Journal article   Peer reviewed

Redefining the Multiple Sclerosis Severity Score (MSSS): The effect of sex and onset phenotype

Yuan Zhou, Suzi B. Claflin, Jim Stankovich, Ingrid van der Mei, Steve Simpson, Richard H. Roxburgh, Tomas Kalincik, Leigh Blizzard, Alessandra Lugaresi, Raed Alroughani, …
Multiple sclerosis, Vol.26(13), pp.1765-1774
2020
PMID: 31668127

Abstract

Clinical Neurology Life Sciences & Biomedicine Neurosciences Neurosciences & Neurology Science & Technology
Background: The Multiple Sclerosis Severity Score (MSSS) is a widely used measure of the disability progression rate. However, the global MSSS may not be the best basis for comparison between all patient groups. Objective: We evaluated sex-specific and onset phenotype-specific MSSS matrices to determine if they were more effective than the global MSSS as a basis for comparison within these subsets. Methods: Using a large international dataset of multiple sclerosis (MS) patient records and the original MSSS algorithm, we constructed global, sex-specific and onset phenotype-specific MSSS matrices. We compared matrices using permutation analysis. Results: Our final dataset included 30,203 MS cases, with 28.9% males and 6.5% progressive-onset cases. Our global MSSS matrix did not differ from previously published data (p > 0.05). The progressive-onset-specific matrix differed significantly from the relapsing-onset-specific matrix (p < 0.001), with lower MSSS attributed to cases with the same Expanded Disability Status Score (EDSS) and disease duration. When evaluated with a simulation, using an onset-specific MSSS improved statistical power in mixed cohorts. There were no significant differences by sex. Conclusion: The differences in the disability accrual rate between progressive- and relapsing-onset MS have a significant effect on MSSS. An onset-specific MSSS should be used when comparing the rate of disability progression among progressive-onset cases and for mixed cohorts.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.203 Neuromuscular Disorders
1.203.147 Multiple Sclerosis
Web Of Science research areas
Clinical Neurology
Neurosciences
ESI research areas
Neuroscience & Behavior
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