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Static postural control disturbances among the different multiple sclerosis phenotypes: A Neurocom Balance Manager

V Cimino1, C G Chisari2, G Raciti1

  • 1Centro Neurolesi "Bonino Pulejo", IRCSS, Messina, Italy.

Multiple Sclerosis and Related Disorders
|September 18, 2018
PubMed
Summary

Computerized balance tests effectively assess postural control in Multiple sclerosis (MS) patients, showing significant impairments compared to healthy individuals. The modified Clinical Test of Sensory Interaction on Balance (mCTSIB) reliably measures balance deficits in MS.

Keywords:
Balance board evaluationMultiple sclerosisNeurocom Balance Manager

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Computerized stabilometric platforms offer advantages over clinical scales for evaluating postural control and balance in Multiple Sclerosis (MS).
  • Self-administered questionnaires are also utilized for balance assessment in MS.
  • This study focuses on static postural control using the Neurocom Balance Manager® and the modified Clinical Test of Sensory Interaction on Balance (mCTSIB).

Purpose of the Study:

  • To evaluate static postural control in patients with Clinically Isolated Syndrome (CIS), relapsing-remitting MS (RRMS), and progressive MS (PMS) using the mCTSIB.
  • To compare postural control parameters between different MS subtypes and healthy controls (HC).
  • To assess the reliability and sensitivity of the mCTSIB in measuring static postural control in MS.

Main Methods:

  • Consecutive MS patients (CIS, RRMS, PMS) and healthy controls (HC) were enrolled.
  • Postural control was assessed using the Neurocom Balance Manager® and mCTSIB, measuring parameters like Total Path Length (TPL) and Sway Area (SA) with eyes open and closed.
  • Berg Balance Scale (BBS) and Barthel Index (BI) were used for balance and disability assessment, respectively.

Main Results:

  • All balance parameters were significantly more impaired in the MS group compared to controls and CIS.
  • No significant balance differences were found between healthy controls (HC) and CIS.
  • The Berg Balance Scale (BBS) strongly correlated with sway area (SA) and path length (TPL) parameters.

Conclusions:

  • Significant differences in balance performance were observed among healthy controls, CIS, and MS patients.
  • Multiple Sclerosis (MS) patients, particularly those with progressive MS (PMS), demonstrated the worst balance performance, especially in eyes-closed conditions.
  • The strong correlation between mCTSIB balance parameters (especially sway area) and BBS scores confirms the mCTSIB's reliability for assessing static postural control in MS.