MCQ-Balance: a method to monitor patients with balance disorders and improve clinical interpretation of posturography

Author:

De la Torre Juan12,Marin Javier13,Polo Marco4,Gómez-Trullén Eva M.15,Marin Jose J.13

Affiliation:

1. IDERGO (Research and Development in Ergonomics) Research Group, I3A (Aragon Institute of Engineering Research), Zaragoza, Spain

2. Department of Biomedical Engineering, Universidad de Zaragoza, Zaragoza, Spain

3. Department of Design and Manufacturing Engineering, Universidad de Zaragoza, Zaragoza, Spain

4. MD Physical Medicine and Rehabilitation, Hospital of Alcañiz, Teruel, Spain

5. Department of Physical Medicine and Rehabilitation and Nursing, Health Sciences Faculty, Universidad de Zaragoza, Zaragoza, Spain

Abstract

Background An estimated 20% to 30% of the global population has suffered a vertiginous episode. Among them, 20% do not receive a clear diagnosis. Improved methods, indicators and metrics are necessary to assess the sensory systems related to balance, especially when patients are undergoing treatment for vertiginous episodes. Patients with balance disorders should be monitored for changes at the individual level to gather objective information. In this study, we evaluate the use of the MCQ-Balance (Measure, Classify and Qualify) assessment for examining a patient’s balance progression using tests to measure static balance control and dynamic postural balance with a stabilometric platform. Materials and Methods The MCQ-Balance assessment comprises three stages: (i) measuring the progression of each variable between two separate and consecutive days (called sessions) using the Magnitude-Based Decision analysis; (ii) classifying the progression of the patient’s balance with a score; and (iii) qualifying the progression of the patient’s balance from the resulting scores using a set of rules. This method was applied to 42 patients with balance disorders of peripheral or central origin characterised by vertigo as the cardinal symptom. Balance progression was measured using the MCQ-Balance assessment over the course of three months, and these results were compared with the assessment of a clinical expert. Results The MCQ-Balance assessment showed an accuracy of 83.4% and a Cohen’s Kappa coefficient of 0.752 compared to the assessment of a clinical expert. Conclusion The MCQ-Balance assessment facilitates the monitoring of patient balance and provides objective information that has the potential to improve medical decision making and the adjustment of individual treatment.

Funder

The Government of Aragon

The European Regional Development Fund

The University of Zaragoza

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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