Citation

Pau M, Porta M, Coghe G, Corona F, Pilloni G, Lorefice L, Marrosu MG, Cocco E. Mult. Scler. Relat. Disord. 2017; 15: 1-6.

Affiliation

Multiple Sclerosis Centre, Department of Medical Sciences and Public Health University of Cagliari, Cagliari, Italy.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.msard.2017.04.002

PMID

28641764

Abstract

BACKGROUND: In people with Multiple Sclerosis (pwMS), balance assessment is essential in estimating the risk of falls, monitoring disease progression and verifying the effectiveness of rehabilitative treatment. Clinical tools and instrumental techniques are available for testing static and dynamic balance, but the relationship between such abilities is still not clear. Having information about this link would be important in properly planning the type and number of tests to administer.

METHODS: One hundred and six pwMS (Expanded Disability Status Scale, EDSS 0-6.5) stratified in three sub-groups (Class 1 EDSS 0-1.5, Class 2 EDSS 2-4 and Class 3 EDSS 4.5-6.5) and 42 healthy controls (HC) participated in the study. All underwent static posturography and instrumented Timed-Up-and-Go (TUG) performed using a wearable inertial sensor. Raw data were processed to extract postural sway features, overall duration of TUG and its main sub-phases (i.e. sit-to-stand, 180° turns and stand-to-sit).

RESULTS: All sway parameters of pwMS of Classes 2 and 3, as well as total TUG duration and time necessary to perform 180° turns, were found significantly higher than HC and Class 1 participants. However, poor correlations were found between sway and TUG parameters. When pwMS are grouped, small/moderate correlations (in the range 0.20-0.41) were found between all sway parameters and total TUG duration.

CONCLUSIONS: Static and dynamic balance in pwMS appear scarcely correlated, although both worsen as disability increases. This implies that they should be separately assessed using specific tests to have a complete view of postural control performance in MS.

Copyright © 2017 Elsevier B.V. All rights reserved.

Language: en

Keywords

Balance; Posturography; Timed-Up-and-Go (TUG)