Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/35844
Title: | Predicting long walking capacity from the timed 25-foot walk test in persons with multiple sclerosis - a potential simple aid to assist ambulation scoring? | Authors: | RAMARI FERREIRA, Cintia FEYS, Peter Gaemelke , T Hvid , LG BAERT, Ilse Kalron , A Dalgas, U |
Issue Date: | 2021 | Publisher: | ELSEVIER SCI LTD | Source: | Multiple sclerosis and related disorders (Print), 48 (Art N° 102706) | Abstract: | Background: : In people with multiple sclerosis (pwMS), no formula exists to predict long walking capacity.Objective: : To examine the accuracy of the timed 25-foot walk (T25FW) to predict long walking in pwMS with various degrees of walking dysfunction. Methods: : A linear regression was made between the T25FW and the 6-minute walk test (6MWT) using data from 498 pwMS.Results: : Prediction showed an excellent agreement between actual and predicted 6MWT distances, with an acceptable error of 10%, which increased as walking dysfunction increased.Conclusions: : The T25WT provided acceptable prediction of the 6MWT in pwMS, although less accurate at higher degrees of dysfunction. | Keywords: | Expanded disability status scale;Prediction;Long walking capacity;25-foot walk test;6-minute walking test | Document URI: | http://hdl.handle.net/1942/35844 | ISSN: | 2211-0348 | e-ISSN: | 2211-0356 | DOI: | 10.1016/j.msard.2020.102706 | ISI #: | 000660293800007 | Rights: | 2020 Elsevier B.V. All rights reserved | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Predicting long walking capacity from the timed 25-foot walk test in persons with multiple sclerosis – a potential simple aid to assist ambulation scoring_.pdf Restricted Access | Published version | 341.97 kB | Adobe PDF | View/Open Request a copy |
Page view(s)
36
checked on Aug 31, 2022
Download(s)
6
checked on Aug 31, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.