» Articles » PMID: 26324067

Detection of Postural Sway Abnormalities by Wireless Inertial Sensors in Minimally Disabled Patients with Multiple Sclerosis: a Case-control Study

Overview
Publisher Biomed Central
Date 2015 Sep 2
PMID 26324067
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Common clinical neurological exams can be insensitive to balance and mobility impairment at the early stages of multiple sclerosis (MS) and may not correspond with patient reports. Instrumented measurement of standing postural sway with inertial motion sensors may provide sensitive measures of balance impairment and better correspond with patient reports.

Methods: While wearing wireless inertial sensors, 20 subjects with MS - Expanded Disability Status Scale of less than 3.0 and a Timed 25 Foot Walk of 5 sec or less - and 20 age- and sex-matched control subjects stood with eyes open and eyes closed on a foam surface. Forty-six outcome measures of postural sway were derived. A stepwise logistic regression model determined which measures of instrumented sway provide independent predictors of group status. Subjects with MS also completed the Activities-Specific Balance Confidence (ABC) scale and the 12-Item MS Walking Scale (MSWS-12) as measures of subject-reported balance and mobility impairment.

Results: The regression model identified medio-lateral sway path length and medio-lateral range of sway acceleration amplitude, each in the eyes-open condition, as the only two significant independent predictors to differentiate subjects with MS from those without MS (model chi-squared = 34.55, p < 0.0001): accuracy = 87.5 %, positive likelihood ratio = 6 (2.09-17.21), negative likelihood ratio = 0.12 (0.03-0.44). Range of sway acceleration amplitude significantly correlated with both ABC (Spearman's r = -0.567, p = 0.009) and MSWS-12 scores (Spearman's r = -0.590, p = 0.006).

Conclusions: Postural sway abnormalities in subjects with MS who are minimally disabled were detected using wireless inertial sensors and may signify a superior sensitivity to identify balance impairment prior to developing clinically evident disability or impaired gait speed. Further study is needed to confirm the clinical significance and predictive value of these objectively identified balance impairments.

Citing Articles

Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis.

Meyer B, Cohen J, DePetrillo P, Ceruolo M, Jangraw D, Cheney N IEEE Trans Neural Syst Rehabil Eng. 2024; 32:967-973.

PMID: 38373134 PMC: 10966905. DOI: 10.1109/TNSRE.2024.3366903.


Sample Entropy Improves Assessment of Postural Control in Early-Stage Multiple Sclerosis.

Lizama L, He X, Kalincik T, Galea M, Panisset M Sensors (Basel). 2024; 24(3).

PMID: 38339590 PMC: 10857195. DOI: 10.3390/s24030872.


Inertial Measurement Unit-Based Romberg Test for Assessing Adults With Vestibular Hypofunction.

Ting K, Lin Y, Chan C, Tu T, Shih C, Liu K IEEE J Transl Eng Health Med. 2024; 12:245-255.

PMID: 38196821 PMC: 10776102. DOI: 10.1109/JTEHM.2023.3334238.


Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.

Woelfle T, Bourguignon L, Lorscheider J, Kappos L, Naegelin Y, Jutzeler C J Med Internet Res. 2023; 25:e44428.

PMID: 37498655 PMC: 10415952. DOI: 10.2196/44428.


Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis.

Meyer B, Cohen J, Donahue N, Fox S, OLeary A, Brown A IEEE Trans Neural Syst Rehabil Eng. 2023; 31:2132-2139.

PMID: 37067975 PMC: 10408383. DOI: 10.1109/TNSRE.2023.3267807.


References
1.
Findling O, Sellner J, Meier N, Allum J, Vibert D, Lienert C . Trunk sway in mildly disabled multiple sclerosis patients with and without balance impairment. Exp Brain Res. 2011; 213(4):363-70. DOI: 10.1007/s00221-011-2795-8. View

2.
Spain R, Mancini M, Horak F, Bourdette D . Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months. Gait Posture. 2014; 39(3):958-64. PMC: 4010096. DOI: 10.1016/j.gaitpost.2013.12.010. View

3.
Boes M, Sosnoff J, Socie M, Sandroff B, Pula J, Motl R . Postural control in multiple sclerosis: effects of disability status and dual task. J Neurol Sci. 2012; 315(1-2):44-8. DOI: 10.1016/j.jns.2011.12.006. View

4.
Prosperini L, Fortuna D, Gianni C, Leonardi L, Pozzilli C . The diagnostic accuracy of static posturography in predicting accidental falls in people with multiple sclerosis. Neurorehabil Neural Repair. 2012; 27(1):45-52. DOI: 10.1177/1545968312445638. View

5.
Padgett P, Jacobs J, Kasser S . Is the BESTest at its best? A suggested brief version based on interrater reliability, validity, internal consistency, and theoretical construct. Phys Ther. 2012; 92(9):1197-207. DOI: 10.2522/ptj.20120056. View