Błaszczyk Janusz W, Cieślińska-Świder Joanna, Orawiec Renata
Department of Human Motor Behavior, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Department of Physiotherapy of the Nervous System and the Musculoskeletal System, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Heliyon. 2021 Feb 11;7(2):e06190. doi: 10.1016/j.heliyon.2021.e06190. eCollection 2021 Feb.
Early and accurate diagnosis of multiple sclerosis (MS) is crucial for its effective treatment. In MS diagnostic, neuronal networks that control posture and movement are of particular importance, which performance can be assessed using static posturography. Unfortunately, most of the commercially available posturographic platforms are not equipped with the appropriate procedures.
To solve this problem, the postural sway trajectories have been recorded in 55 MS patients while standing quiet with eyes open (EO), and then with eyes closed (EC). The trajectories were analyzed using our novel methods of postural sway parametrization, including sway stability vector (SV), anteroposterior and mediolateral sway indices (DIAP and DIML).
The results exhibited unique postural sway patterns that may be attributed to MS. Our novel parametrization methods of postural sway showed pathology specific increase of the postural sway velocity in EC tests. Additionally, we documented the abnormal alterations of the anteroposterior (AP) and the mediolateral (ML) sway indices that were also uniquely dependent on visual input. In EC tests, patients exhibited a characteristic pattern of sway increase in both AP and ML directions that correlated with the advance of the disease as measured by the EDSS Kurtzke scale and Functional System Scores.
The applied in the present study our novel posturographic metrics give the assessment a diagnostic value. It allows us to recommend the static posturography test as a simple and safe supplementary clinical tool in the diagnosis of MS. In the assessment of MS pathology or the effects of its treatment, the impact of vision on the sway stability vector seems the most important factor.
早期准确诊断多发性硬化症（MS）对其有效治疗至关重要。在MS诊断中，控制姿势和运动的神经网络尤为重要，其性能可通过静态姿势描记法进行评估。不幸的是，大多数商用姿势描记平台未配备适当的程序。
为解决此问题，记录了55例MS患者在睁眼安静站立（EO）和闭眼安静站立（EC）时的姿势摆动轨迹。使用我们新颖的姿势摆动参数化方法对轨迹进行分析，包括摆动稳定性向量（SV）、前后和内外侧摆动指数（DIAP和DIML）。
结果显示出可能归因于MS的独特姿势摆动模式。我们新颖的姿势摆动参数化方法显示，在EC测试中姿势摆动速度有病理特异性增加。此外，我们记录了前后（AP）和内外侧（ML）摆动指数的异常变化，这些变化也唯一地依赖于视觉输入。在EC测试中，患者在AP和ML方向上均表现出与疾病进展相关的特征性摆动增加模式，疾病进展通过EDSS Kurtzke量表和功能系统评分来衡量。
本研究中应用的新颖姿势描记指标赋予评估诊断价值。它使我们能够推荐静态姿势描记测试作为MS诊断中一种简单安全的辅助临床工具。在评估MS病理或其治疗效果时，视觉对摆动稳定性向量的影响似乎是最重要的因素。
