Literature DB >> 26846418

Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability.

Gilles Allali1,2, Magali Laidet3, Francois R Herrmann4, Stéphane Armand5, Charlotte Elsworth-Edelsten3,5, Frédéric Assal3, Patrice H Lalive3,6.   

Abstract

This longitudinal study aims to compare the role of stride time variability (STV) and EDSS for predicting falls in 50 patients with multiple sclerosis with low disability. 21.7 % developed falls (follow-up: 22 months). STV (IRR: 1.73, 95 % CI: 1.23-2.41, p = 0.001) and EDSS (IRR: 2.29, 95 % CI: 1.35-3.90, p = 0.002) were associated with the number of falls. Adding STV to EDSS improves the predictive power of the model from 21 to 26 %, but not adding EDSS to STV.

Entities:  

Keywords:  Disability; Falls; Gait disorders; Longitudinal study; Multiple sclerosis

Mesh：

Year:  2016        PMID： 26846418     DOI： 10.1007/s00702-016-1511-z

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN： 0300-9564            Impact factor:   3.575


  15 in total

1.  Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability.

Authors:  Jacob J Sosnoff; Brian M Sandroff; Robert W Motl
Journal:  Gait Posture       Date:  2012-03-17       Impact factor: 2.840

2.  Increased gait unsteadiness in community-dwelling elderly fallers.

Authors:  J M Hausdorff; H K Edelberg; S L Mitchell; A L Goldberger; J Y Wei
Journal:  Arch Phys Med Rehabil       Date:  1997-03       Impact factor: 3.966

3.  Dual-task assessment in natalizumab-treated multiple sclerosis patients.

Authors:  Gilles Allali; Magali Laidet; Frédéric Assal; Michel Chofflon; Stéphane Armand; Patrice H Lalive
Journal:  Eur Neurol       Date:  2014-02-01       Impact factor: 1.710

4.  Sensory integration balance training in patients with multiple sclerosis: A randomized, controlled trial.

Authors:  Marialuisa Gandolfi; Daniele Munari; Christian Geroin; Alberto Gajofatto; Maria Donata Benedetti; Alessandro Midiri; Fontana Carla; Alessandro Picelli; Andreas Waldner; Nicola Smania
Journal:  Mult Scler       Date:  2015-01-12       Impact factor: 6.312

5.  Adapted timed up and go: a rapid clinical test to assess gait and cognition in multiple sclerosis.

Authors:  G Allali; M Laidet; F Assal; O Beauchet; M Chofflon; S Armand; P H Lalive
Journal:  Eur Neurol       Date:  2012-01-10       Impact factor: 1.710

6.  Injurious falls among middle aged and older adults with multiple sclerosis.

Authors:  Elizabeth W Peterson; Chi C Cho; Lena von Koch; Marcia L Finlayson
Journal:  Arch Phys Med Rehabil       Date:  2008-06       Impact factor: 3.966

7.  Cerebral white matter lesions, gait, and the risk of incident falls: a prospective population-based study.

Authors:  Velandai Srikanth; Richard Beare; Leigh Blizzard; Thanh Phan; Jennifer Stapleton; Jian Chen; Michele Callisaya; Kara Martin; David Reutens
Journal:  Stroke       Date:  2008-10-16       Impact factor: 7.914

8.  Quantitative gait markers and incident fall risk in older adults.

Authors:  Joe Verghese; Roee Holtzer; Richard B Lipton; Cuiling Wang
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-04-06       Impact factor: 6.053

Review 9.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria".

Authors:  Chris H Polman; Stephen C Reingold; Gilles Edan; Massimo Filippi; Hans-Peter Hartung; Ludwig Kappos; Fred D Lublin; Luanne M Metz; Henry F McFarland; Paul W O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Brian G Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2005-12       Impact factor: 10.422

10.  Gait variability: methods, modeling and meaning.

Authors:  Jeffrey M Hausdorff
Journal:  J Neuroeng Rehabil       Date:  2005-07-20       Impact factor: 4.262
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  11 in total

1.  Gait and cognitive impairments in multiple sclerosis: the specific contribution of falls and fear of falling.

Authors:  Alon Kalron; Gilles Allali
Journal:  J Neural Transm (Vienna)       Date:  2017-07-22       Impact factor: 3.575

2.  Stride time variability as a marker for higher level of gait control in multiple sclerosis: its association with fear of falling.

Authors:  Gilles Allali; Magali Laidet; Stéphane Armand; Charlotte Elsworth-Edelsten; Frédéric Assal; Patrice H Lalive
Journal:  J Neural Transm (Vienna)       Date:  2016-04-22       Impact factor: 3.575

3.  The relationship between gait variability and cognitive functions differs between fallers and non-fallers in MS.

Authors:  Alon Kalron; Roy Aloni; Mark Dolev; Lior Frid; Uri Givon; Shay Menascu
Journal:  J Neural Transm (Vienna)       Date:  2018-01-19       Impact factor: 3.575

4.  Sex-Based Differences in Oxygen Cost of Walking and Energy Equivalents in Minimally Disabled Individuals With Multiple Sclerosis and Controls.

Authors:  Andrea Manca; Antonella Cano; Lucia Ventura; Gianluca Martinez; Lior Frid; Franca Deriu; Alon Kalron
Journal:  Int J MS Care       Date:  2021-07-27

5.  Cognition is associated with gait variability in individuals with multiple sclerosis.

Authors:  Katherine L Hsieh; Ruopeng Sun; Jacob J Sosnoff
Journal:  J Neural Transm (Vienna)       Date:  2017-10-25       Impact factor: 3.575

6.  Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.

Authors:  Brett M Meyer; Lindsey J Tulipani; Reed D Gurchiek; Dakota A Allen; Lukas Adamowicz; Dale Larie; Andrew J Solomon; Nick Cheney; Ryan S McGinnis
Journal:  IEEE J Biomed Health Inform       Date:  2021-05-11       Impact factor: 5.772

7.  Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?

Authors:  Vrutangkumar V Shah; James McNames; Graham Harker; Carolin Curtze; Patricia Carlson-Kuhta; Rebecca I Spain; Mahmoud El-Gohary; Martina Mancini; Fay B Horak
Journal:  Gait Posture       Date:  2020-11-25       Impact factor: 2.840

8.  Fall-related functional impairments in patients with neurological gait disorder.

Authors:  Angela Ehrhardt; Pascal Hostettler; Lucas Widmer; Katja Reuter; Jens Alexander Petersen; Dominik Straumann; Linard Filli
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

9.  The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis.

Authors:  Andrew S Monaghan; Jessie M Huisinga; Daniel S Peterson
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.996

10.  Gait Variability Is Associated With the Strength of Functional Connectivity Between the Default and Dorsal Attention Brain Networks: Evidence From Multiple Cohorts.

Authors:  On-Yee Lo; Mark A Halko; Kathryn J Devaney; Peter M Wayne; Lewis A Lipsitz; Brad Manor
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.591
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