Literature DB >> 31493037

Deterioration of specific aspects of gait during the instrumented 6-min walk test among people with multiple sclerosis.

S Shema-Shiratzky1, E Gazit1, R Sun2, K Regev3, A Karni3,4,5, J J Sosnoff2, T Herman1, A Mirelman1,4,5, Jeffrey M Hausdorff6,7,8,9.   

Abstract

Prolonged walking is typically impaired among people with multiple sclerosis (pwMS), however, it is unclear what the contributing factors are or how to evaluate this deterioration. We aimed to determine which gait features become worse during sustained walking and to examine the clinical correlates of gait fatigability in pwMS. Fifty-eight pwMS performed the 6-min walk test while wearing body-fixed sensors. Multiple gait domains (e.g., pace, rhythm, variability, asymmetry and complexity) were compared across each minute of the test and between mild- and moderate-disability patient groups. Associations between the decline in gait performance (i.e., gait fatigability) and patient-reported gait disability, fatigue and falls were also determined. Cadence, stride time variability, stride regularity, step regularity and gait complexity significantly deteriorated during the test. In contrast, somewhat surprisingly, gait speed and swing time asymmetry did not change. As expected, subjects with moderate disability (n = 24) walked more poorly in most gait domains compared to the mild-disability group (n = 34). Interestingly, a group × fatigue interaction effect was observed for cadence and gait complexity; these measures decreased over time in the moderate-disability group, but not in the mild group. Gait fatigability rate was significantly correlated with physical fatigue, gait disability, and fall history. These findings suggest that sustained walking affects specific aspects of gait, which can be used as markers for fatigability in MS. This effect on gait depends on the degree of disability, and may increase fall risk in pwMS. To more fully understand and monitor correlates that reflect everyday walking in pwMS, multiple domains of gait should be quantified.

Entities:  

Keywords:  Accelerometer; Body-fixed-sensor; Fall risk; Fatigability; Fatigue; Gait; Multiple sclerosis; Walking disability; Wearables

Mesh:

Year:  2019        PMID: 31493037     DOI: 10.1007/s00415-019-09500-z

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  14 in total

1.  Inter-bout and intra-bout gait variability-proposed objective measures of gait deterioration during prolonged walking in spine care.

Authors:  R Dineth Fonseka; Pragadesh Natarajan; Ralph J Mobbs
Journal:  J Spine Surg       Date:  2022-03

2.  Changes in trunk and head acceleration during the 6-minute walk test and its relation to falls risk for adults with multiple sclerosis.

Authors:  Steven Morrison; C Armitano-Lago; C A Rynders; J J Sosnoff
Journal:  Exp Brain Res       Date:  2022-01-28       Impact factor: 1.972

Review 3.  Toxic Air Pollutants and Their Effect on Multiple Sclerosis: A Review Study.

Authors:  Mohammad Javad Mohammadi; Kourosh Zarea; Nasser Hatamzadeh; Arash Salahshouri; Asaad Sharhani
Journal:  Front Public Health       Date:  2022-07-06

Review 4.  Fatigue and Human Performance: An Updated Framework.

Authors:  Florian Husmann; Matthias Weippert; Martin Behrens; Martin Gube; Helmi Chaabene; Olaf Prieske; Alexandre Zenon; Kim-Charline Broscheid; Lutz Schega
Journal:  Sports Med       Date:  2022-10-18       Impact factor: 11.928

5.  Wearable Inertial Sensors to Assess Gait during the 6-Minute Walk Test: A Systematic Review.

Authors:  Fabio Alexander Storm; Ambra Cesareo; Gianluigi Reni; Emilia Biffi
Journal:  Sensors (Basel)       Date:  2020-05-06       Impact factor: 3.576

6.  Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis.

Authors:  Lorenza Angelini; Ilaria Carpinella; Davide Cattaneo; Maurizio Ferrarin; Elisa Gervasoni; Basil Sharrack; David Paling; Krishnan Padmakumari Sivaraman Nair; Claudia Mazzà
Journal:  Sensors (Basel)       Date:  2019-12-21       Impact factor: 3.576

7.  The Two-Minute Walk Test in Persons with Multiple Sclerosis: Correlations of Cadence with Free-Living Walking Do Not Support Ecological Validity.

Authors:  Viktoria Karle; Verena Hartung; Keti Ivanovska; Mathias Mäurer; Peter Flachenecker; Klaus Pfeifer; Alexander Tallner
Journal:  Int J Environ Res Public Health       Date:  2020-12-04       Impact factor: 3.390

8.  Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds.

Authors:  Charlotte Werner; Chris Awai Easthope; Armin Curt; László Demkó
Journal:  Sensors (Basel)       Date:  2021-11-06       Impact factor: 3.576

9.  Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting.

Authors:  Lorenza Angelini; William Hodgkinson; Craig Smith; Jessie Moorman Dodd; Basil Sharrack; Claudia Mazzà; David Paling
Journal:  J Neurol       Date:  2020-05-28       Impact factor: 4.849

10.  Gait Characteristics Harvested During a Smartphone-Based Self-Administered 2-Minute Walk Test in People with Multiple Sclerosis: Test-Retest Reliability and Minimum Detectable Change.

Authors:  Alan K Bourke; Alf Scotland; Florian Lipsmeier; Christian Gossens; Michael Lindemann
Journal:  Sensors (Basel)       Date:  2020-10-19       Impact factor: 3.576

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