Article

Expanded Disability Status Scale (EDSS) is the most widely used clinical scale to
evaluate levels of multiple sclerosis (MS). As MS can lead to disruptions in the
regulation of balance and the disability can be evaluated by force platform
posturography, we have developed in this study a new strategy to estimate EDSS
from posturographic data. 118 volunteers with EDSS ranging from 0 to 4.5
participated in this study, with eyes closed. By using second-order polynomial
regression models, EDSS was estimated from two postural sway parameters,
respectively, the length and the surface and four recurrence quantification
analysis (RQA) parameters: percentage of recurrence (%Rec), Shannon entropy
(Ent), mean diagonal line length (LL) and trapping time (TT). In addition, all
four RQA parameters were calculated for position, instantaneous velocity and
acceleration of the center of pressure. In order to select the most accurate
method for estimating EDSS, four statistical indices (percentage of agreement,
underestimation and overestimation, as well as Mean error) were calculated
comparing clinical and estimated EDSS scores. The results demonstrate that
estimations of EDSS from surface, %Rec and LL of position, best agreed with
clinical scores. This study emphasizes the possibility of distinguishing EDSS
scores using postural sway and RQA parameters.
CI - Copyright (c) 2012 Elsevier B.V. All rights reserved.

Langue : ANGLAIS