Literature DB >> 25878185

Longitudinal relationships among posturography and gait measures in multiple sclerosis.

Nora E Fritz1, Scott D Newsome2, Ani Eloyan2, Rhul Evans R Marasigan2, Peter A Calabresi2, Kathleen M Zackowski2.   

Abstract

OBJECTIVE: Gait and balance dysfunction frequently occurs early in the multiple sclerosis (MS) disease course. Hence, we sought to determine the longitudinal relationships among quantitative measures of gait and balance in individuals with MS.
METHODS: Fifty-seven ambulatory individuals with MS (28 relapsing-remitting, 29 progressive) were evaluated using posturography, quantitative sensorimotor and gait measures, and overall MS disability with the Expanded Disability Status Scale at each session.
RESULTS: Our cohort's age was 45.8 ± 10.4 years (mean ± SD), follow-up time 32.8 ± 15.4 months, median Expanded Disability Status Scale score 3.5, and 56% were women. Poorer performance on balance measures was related to slower walking velocity. Two posturography measures, the anterior-posterior sway and sway during static eyes open, feet apart conditions, were significant contributors to walk velocity over time (approximate R(2) = 0.95), such that poorer performance on the posturography measures was related to slower walking velocity. Similarly, the anterior-posterior sway and sway during static eyes closed, feet together conditions were also significant contributors to the Timed 25-Foot Walk performance over time (approximate R(2) = 0.83).
CONCLUSIONS: This longitudinal cohort study establishes a strong relationship between clinical gait measures and posturography. The data show that increases in static posturography and reductions in dynamic posturography are associated with a decline in walk velocity and Timed 25-Foot Walk performance over time. Furthermore, longitudinal balance measures predict future walking performance. Quantitative walking and balance measures are important additions to clinical testing to explore longitudinal change and understand fall risk in this progressive disease population.
© 2015 American Academy of Neurology.

Entities:  

Mesh:

Year:  2015        PMID: 25878185      PMCID: PMC4442106          DOI: 10.1212/WNL.0000000000001580

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  27 in total

1.  The diagnostic accuracy of static posturography in predicting accidental falls in people with multiple sclerosis.

Authors:  Luca Prosperini; Deborah Fortuna; Costanza Giannì; Laura Leonardi; Carlo Pozzilli
Journal:  Neurorehabil Neural Repair       Date:  2012-05-15       Impact factor: 3.919

2.  A 10-year follow-up of a population-based study of people with multiple sclerosis in Stockholm, Sweden: changes in disability and the value of different factors in predicting disability and mortality.

Authors:  Charlotte Chruzander; Sverker Johansson; Kristina Gottberg; Ulrika Einarsson; Sten Fredrikson; Lotta Widén Holmqvist; Charlotte Ytterberg
Journal:  J Neurol Sci       Date:  2013-07-26       Impact factor: 3.181

3.  Balance deficit with opened or closed eyes reveals involvement of different structures of the central nervous system in multiple sclerosis.

Authors:  Luca Prosperini; Nikolaos Petsas; Eytan Raz; Emilia Sbardella; Francesca Tona; Chiara Rosa Mancinelli; Carlo Pozzilli; Patrizia Pantano
Journal:  Mult Scler       Date:  2013-06-11       Impact factor: 6.312

4.  Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months.

Authors:  Rebecca I Spain; Martina Mancini; Fay B Horak; Dennis Bourdette
Journal:  Gait Posture       Date:  2013-12-21       Impact factor: 2.840

Review 5.  Minimal clinically important difference for change in comfortable gait speed of adults with pathology: a systematic review.

Authors:  Richard W Bohannon; Susan S Glenney
Journal:  J Eval Clin Pract       Date:  2014-05-05       Impact factor: 2.431

6.  Quantitative measures detect sensory and motor impairments in multiple sclerosis.

Authors:  Scott D Newsome; Joseph I Wang; Jonathan Y Kang; Peter A Calabresi; Kathleen M Zackowski
Journal:  J Neurol Sci       Date:  2011-04-01       Impact factor: 3.181

7.  Neuropsychological, balance, and mobility risk factors for falls in people with multiple sclerosis: a prospective cohort study.

Authors:  Phu D Hoang; Michelle H Cameron; Simon C Gandevia; Stephen R Lord
Journal:  Arch Phys Med Rehabil       Date:  2013-10-03       Impact factor: 3.966

8.  The reliability, precision and clinically meaningful change of walking assessments in multiple sclerosis.

Authors:  Yvonne C Learmonth; Deirdre D Dlugonski; Lara A Pilutti; Brian M Sandroff; Robert W Motl
Journal:  Mult Scler       Date:  2013-04-15       Impact factor: 6.312

9.  Longitudinal change in physical activity and its correlates in relapsing-remitting multiple sclerosis.

Authors:  Robert W Motl; Edward McAuley; Brian M Sandroff
Journal:  Phys Ther       Date:  2013-04-18

10.  Local dynamic stability as a responsive index for the evaluation of rehabilitation effect on fall risk in patients with multiple sclerosis: a longitudinal study.

Authors:  Roger Hilfiker; Claude Vaney; Brigitte Gattlen; André Meichtry; Olivier Deriaz; Véronique Lugon-Moulin; Anne-Marie Anchisi-Bellwald; Cécilia Palaci; Denise Foinant; Philippe Terrier
Journal:  BMC Res Notes       Date:  2013-07-09
View more
  15 in total

1.  Distinguishing among multiple sclerosis fallers, near-fallers and non-fallers.

Authors:  Nora E Fritz; Ani Eloyan; Moira Baynes; Scott D Newsome; Peter A Calabresi; Kathleen M Zackowski
Journal:  Mult Scler Relat Disord       Date:  2017-11-22       Impact factor: 4.339

2.  Detection of subtle gait disturbance and future fall risk in early multiple sclerosis.

Authors:  Rachel Brandstadter; Oluwasheyi Ayeni; Stephen C Krieger; Noam Y Harel; Miguel X Escalon; Ilana Katz Sand; Victoria M Leavitt; Michelle T Fabian; Korhan Buyukturkoglu; Sylvia Klineova; Claire S Riley; Fred D Lublin; Aaron E Miller; James F Sumowski
Journal:  Neurology       Date:  2020-02-26       Impact factor: 9.910

3.  Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects.

Authors:  Matthew M Engelhard; Sriram Raju Dandu; Stephen D Patek; John C Lach; Myla D Goldman
Journal:  Gait Posture       Date:  2016-07-27       Impact factor: 2.840

4.  Adapted Resistance Training Improves Strength in Eight Weeks in Individuals with Multiple Sclerosis.

Authors:  Jennifer L Keller; Nora Fritz; Chen Chun Chiang; Allen Jiang; Tziporah Thompson; Nicole Cornet; Scott D Newsome; Peter A Calabresi; Kathleen Zackowski
Journal:  J Vis Exp       Date:  2016-01-29       Impact factor: 1.355

5.  Assessment of Early Evidence of Multiple Sclerosis in a Prospective Study of Asymptomatic High-Risk Family Members.

Authors:  Zongqi Xia; Sonya U Steele; Anshika Bakshi; Sarah R Clarkson; Charles C White; Matthew K Schindler; Govind Nair; Blake E Dewey; Lauren R Price; Joan Ohayon; Lori B Chibnik; Irene C M Cortese; Philip L De Jager; Daniel S Reich
Journal:  JAMA Neurol       Date:  2017-03-01       Impact factor: 18.302

6.  Sensorimotor outcomes in adrenomyeloneuropathy show significant disease progression.

Authors:  Jennifer L Keller; Ani Eloyan; Gerald V Raymond; Ali Fatemi; Kathleen M Zackowski
Journal:  J Inherit Metab Dis       Date:  2021-12-09       Impact factor: 4.982

7.  Pain, cognition and quality of life associate with structural measures of brain volume loss in multiple sclerosis.

Authors:  Nora E Fritz; Snehashis Roy; Jennifer Keller; Jerry Prince; Peter A Calabresi; Kathleen M Zackowski
Journal:  NeuroRehabilitation       Date:  2016-10-14       Impact factor: 2.138

8.  Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time.

Authors:  Linard Filli; Tabea Sutter; Christopher S Easthope; Tim Killeen; Christian Meyer; Katja Reuter; Lilla Lörincz; Marc Bolliger; Michael Weller; Armin Curt; Dominik Straumann; Michael Linnebank; Björn Zörner
Journal:  Sci Rep       Date:  2018-03-21       Impact factor: 4.379

9.  Quantitative vibratory sensation measurement is related to sensory cortical thickness in MS.

Authors:  Nora E Fritz; Ani Eloyan; Jeffrey Glaister; Blake E Dewey; Omar Al-Louzi; M Gabriela Costello; Min Chen; Jerry L Prince; Peter A Calabresi; Kathleen M Zackowski
Journal:  Ann Clin Transl Neurol       Date:  2019-02-19       Impact factor: 4.511

10.  Static posturography across the EDSS scale in people with multiple sclerosis: a cross sectional study.

Authors:  Alon Kalron; Dalia Nitzani; Anat Achiron
Journal:  BMC Neurol       Date:  2016-05-20       Impact factor: 2.474

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.