Long-Term Disability Outcomes in Relapsing–Remitting Multiple Sclerosis Patients: Impact of Clinical and Demographic Factors on Disease Progression

Author:

Barcutean Laura12ORCID,Maier Smaranda12ORCID,Bajko Zoltan12,Stoian Adina23ORCID,Mosora Oana2,Sarmasan Emanuela2,Manescu Ion-Bogdan4ORCID,Balasa Rodica12

Affiliation:

1. Department of Neurology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540142 Targu Mures, Romania

2. Neurology 1 Clinic, Emergency Clinical County Hospital, 540136 Targu Mures, Romania

3. Department of Pathophysiology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540142 Targu Mures, Romania

4. Department of Laboratory Medicine, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540139 Targu Mures, Romania

Abstract

Background: Multiple sclerosis (MS) is a prevalent chronic inflammatory and neurodegenerative disease of the central nervous system. The main evolving forms, relapsing–remitting MS (RRMS) and secondary progressive MS (SPMS), lack clear delineation. Methods: We conducted an observational study on 523 Caucasian RRMS patients receiving first-line disease-modifying therapies (DMTs), analyzing demographic, clinical, and geographical data. Results: RRMS patients experienced a statistically significant reduction in relapse rates post-DMT initiation. Significant differences in time to reach an Expanded Disability Status Score (EDSS) of 3.0 and 6.0 were observed based on demographics and onset topography. Kaplan–Meier analysis revealed that the onset with optic or supratentorial symptoms is linked to a longer time until EDSS = 3.0 is reached. Urban origin correlated with a prolonged time until EDSS = 3.0. Gender and environment showed no significant associations with the hazard of reaching an EDSS = 6.0. Cox regression analysis revealed no significant impact of relapses on the time to reach EDSS scores of 3.0 and 6.0 in our study cohort. Conclusions: Multivariate analysis identified several predictive factors for disability progression, including environment, age at onset, and disability level at DMT initiation.

Funder

Ministry of Research, Innovation and Digitalization, CNCS–UEFISCDI

Publisher

MDPI AG

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