ECTRIMS eLearning

Correlation between static and dynamic balance in people with multiple sclerosis: quantitative assessment using inertial sensor and force platform
Author(s):
M. Pau
,
M. Pau
Affiliations:
S. Caggiari
,
S. Caggiari
Affiliations:
A. Mura
,
A. Mura
Affiliations:
B. Leban
,
B. Leban
Affiliations:
F. Corona
,
F. Corona
Affiliations:
G. Coghe
,
G. Coghe
Affiliations:
M.G. Marrosu
,
M.G. Marrosu
Affiliations:
E. Cocco
E. Cocco
Affiliations:
ECTRIMS Learn. Caggiari S. 09/15/16; 146181; P341
Silvia Caggiari
Silvia Caggiari
Contributions
Abstract

Abstract: P341

Type: Poster

Abstract Category: Clinical aspects of MS - Clinical assessment tools

Background: Timed Up and Go test (TUG) is frequently used to assess balance and physical mobility, in people with MS (pwMS). In particular TUG summarizes the ability of an individual to change posture (from sitting to standing) and turn, as well as basic walking performance. This test is simple to administer, characterized by high reproducibility and reliability and is clinically relevant. However, its main limitation is that only the overall time needed to perform is considered. In recent times, inertial sensors have been used in TUG tests for neurological diseases. This approach represents a good option to objectively assess dynamic balance and mobility in a clinical setting.

Aim: The study aims to assess the feasibility of use of inertial sensors to assess TUG performance in pwMS. Also, we want to correlate the TUG results with static balance abilities of the participants, quantitatively assessed using stabilometry.

Methods: Fifty pwMS (EDSS range 2-6.5) were enrolled for the study. They were tested using a wearable inertial sensor attached at the lower lumbar level. Participants were asked to perform a TUG test, by standing up from a standard chair without arm-rest, walking for 3 m, performing a 180° turning, returning to the chair and sitting on it. The following parameters were investigated: sit to stand (and viceversa) time, intermediate and final turning time. In the same day, a stabilometric test was also carried out. On the basis of the center of pressure (COP) time-series acquired for a 30 s bipedal test, we calculated the following sway parameters: sway area, COP Path Length, COP displacements and velocities in anteroposterior (AP) and mediolateral (ML) direction. Pearson product-moment correlation coefficient was calculated to analyze correlation between TUG and stabilometric parameters.

Results: Among the set of TUG parameters, only the duration of the first 180° turning was found significantly correlated with sway parameters (r=0.441 p=0.001 for ML displacement, r=0.491 p< 0.001 for AP displacement, r=0.545 p< 0.001 for sway area, r=0.390 p=0.005 for path length, r=0.471 p< 0.001 for ML velocity, r=0.314 p=0.03 for AP velocity).

Conclusions: The results show that instrumented TUG supply information about mobility impairments in pwMS. The existence of correlations with static balance tests (even though limited to a single parameter) show that this technique is potentially useful to assess the effectiveness of the postural control system.

Disclosure:

Massimiliano Pau: nothing to disclose

Silvia Caggiari: nothing to disclose

Alessandro Mura: nothing to disclose

Bruno Leban: nothing to disclose

Federica Corona: nothing to disclose

Giancarlo Coghe: nothing to disclose

Maria Giovanna Marrosu: nothing to disclose

Eleonora Cocco: nothing to disclose

Abstract: P341

Type: Poster

Abstract Category: Clinical aspects of MS - Clinical assessment tools

Background: Timed Up and Go test (TUG) is frequently used to assess balance and physical mobility, in people with MS (pwMS). In particular TUG summarizes the ability of an individual to change posture (from sitting to standing) and turn, as well as basic walking performance. This test is simple to administer, characterized by high reproducibility and reliability and is clinically relevant. However, its main limitation is that only the overall time needed to perform is considered. In recent times, inertial sensors have been used in TUG tests for neurological diseases. This approach represents a good option to objectively assess dynamic balance and mobility in a clinical setting.

Aim: The study aims to assess the feasibility of use of inertial sensors to assess TUG performance in pwMS. Also, we want to correlate the TUG results with static balance abilities of the participants, quantitatively assessed using stabilometry.

Methods: Fifty pwMS (EDSS range 2-6.5) were enrolled for the study. They were tested using a wearable inertial sensor attached at the lower lumbar level. Participants were asked to perform a TUG test, by standing up from a standard chair without arm-rest, walking for 3 m, performing a 180° turning, returning to the chair and sitting on it. The following parameters were investigated: sit to stand (and viceversa) time, intermediate and final turning time. In the same day, a stabilometric test was also carried out. On the basis of the center of pressure (COP) time-series acquired for a 30 s bipedal test, we calculated the following sway parameters: sway area, COP Path Length, COP displacements and velocities in anteroposterior (AP) and mediolateral (ML) direction. Pearson product-moment correlation coefficient was calculated to analyze correlation between TUG and stabilometric parameters.

Results: Among the set of TUG parameters, only the duration of the first 180° turning was found significantly correlated with sway parameters (r=0.441 p=0.001 for ML displacement, r=0.491 p< 0.001 for AP displacement, r=0.545 p< 0.001 for sway area, r=0.390 p=0.005 for path length, r=0.471 p< 0.001 for ML velocity, r=0.314 p=0.03 for AP velocity).

Conclusions: The results show that instrumented TUG supply information about mobility impairments in pwMS. The existence of correlations with static balance tests (even though limited to a single parameter) show that this technique is potentially useful to assess the effectiveness of the postural control system.

Disclosure:

Massimiliano Pau: nothing to disclose

Silvia Caggiari: nothing to disclose

Alessandro Mura: nothing to disclose

Bruno Leban: nothing to disclose

Federica Corona: nothing to disclose

Giancarlo Coghe: nothing to disclose

Maria Giovanna Marrosu: nothing to disclose

Eleonora Cocco: nothing to disclose

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