Long-term worsening of different body functions in persons with progressive multiple sclerosis

Author:

Kaufmann Marco1ORCID,Vaney Claude2,Barin Laura13ORCID,Liu Xinglu1,von Wyl Viktor1

Affiliation:

1. Swiss Multiple Sclerosis Registry, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland

2. Berner Klinik Montana, Crans-Montana, Switzerland

3. FBK-IRVAPP, Research Institute for the Evaluation of Public Policies, Bruno Kessler Foundation, Trento, Italy

Abstract

Background It is unclear whether EDSS is responsive to disability worsening in advanced MS. Objective To explore the dynamics of disability worsening in persons with advanced-stage MS (EDSS ≥5.5) using three disability worsening definitions (EDSS, Rivermead Mobility Index (RMI), 9-Hole Peg Test (9-HPT)). Methods EDSS-, RMI- and 9-HPT-based disability worsening were assessed over a minimum of two years in a cohort of 286 persons with advanced MS attending inpatient rehabilitation using Kaplan-Meier Curves and multivariable Cox regression. Furthermore, the correspondence between EDSS-, RMI- and 9-HPT-based disability worsening was analyzed. Results Disability progression was observed in 49% (9-HPT), 52% (EDSS) and 53% (RMI), with 9-HPT-based worsening slightly lagging behind. The Multiple Sclerosis Severity Score (MSSS) was the only consistent factor predicting disability worsening based on all three definitions (EDSS: hazard ratio 1.48 [1.30;1.68]; RMI: 1.12 [0.99;1.27]; 9-HPT: 1.36 [1.18;1.57]). Correspondence between EDSS and the other definitions (9-HPT and RMI) was 44.3% and 55.7% at time of EDSS progression and 65.1% and 72.5% overall, respectively. Conclusion In persons with advanced-stage MS, half still developed disability worsening in different functional systems over a median of 6 years. MSSS seems a valid predictor for disability worsening in all three outcome measures in advanced MS.

Publisher

SAGE Publications

Subject

Cellular and Molecular Neuroscience,Clinical Neurology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting upper limb disability progression in primary progressive multiple sclerosis using machine learning and statistical methods;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09

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