A multiple sclerosis disease progression measure based on cumulative disability

Author:

Manouchehrinia Ali1ORCID,Kingwell Elaine2,Zhu Feng2,Tremlett Helen2ORCID,Hillert Jan1,Ramanujam Ryan3ORCID

Affiliation:

1. Department of Clinical Neuroscience, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden

2. Faculty of Medicine (Neurology), UBC Hospital, and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada

3. Department of Clinical Neuroscience, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden/Department of Mathematics, The Royal Institute of Technology, Stockholm, Sweden

Abstract

Background: Existing severity measurements in multiple sclerosis (MS) are often cross-sectional, making longitudinal comparisons of disease course between individuals difficult. Objective: The objective of this study is to create a severity metric that can reliably summarize a patient’s disease course. Methods: We developed the nARMSS – normalized ARMSS (age-related MS severity score) over follow-up, using the deviation of individual ARMSS scores from the expected value and integrated over the corresponding time period. The nARMSS scales from −5 to +5; a positive value indicates a more severe disease course for a patient when compared to other patients with similar disease timings. Results: Using Swedish MS registry data, the nARMSS was tested using data at 2 and 4 years of follow-up to predict the most severe quartile during the subsequent period up to 10 years total follow-up. The metric used was area under the curve of the receiver operating characteristic (AUC-ROC). This resulted in measurements of 0.929 and 0.941. In an external Canadian validation cohort, the equivalent AUC-ROCs were 0.901 and 0.908. Conclusion: The nARMSS provides a reliable, generalizable and easily measurable metric which makes longitudinal comparison of disease course between individuals feasible.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

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