Postural stability measures as diagnostic tools for chronic ankle instability: a comprehensive assessment.

IF 2.8 3区 医学 Q1 REHABILITATION BMC Sports Science Medicine and Rehabilitation Pub Date : 2025-01-30 DOI:10.1186/s13102-025-01064-y
Makan Piri, Kazem Malmir, Khadijeh Otadi, Azadeh Shadmehr
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Abstract

Background: Chronic ankle instability (CAI) is characterized by recurrent sprains and persistent symptoms, which impair postural control. This study evaluates the diagnostic utility of various linear and nonlinear postural stability measures in distinguishing individuals with CAI from healthy controls.

Methods: Postural stability was assessed in 24 participants (12 with CAI and 12 healthy controls) using a force platform under four conditions: hard surface with eyes open, hard surface with eyes closed, soft surface with eyes open, and soft surface with eyes closed. Linear measures of center of pressure (COP) included range in the anteroposterior (Rfa) and mediolateral (Rsw) directions, mean velocity (MV), and sway area. Nonlinear measures included approximate entropy (ApEn), the largest Lyapunov exponent, and correlation dimension (CD) with its standard deviation. Diagnostic accuracy was evaluated using receiver operating characteristic (ROC) analysis to determine cutoff scores, allowing effective differentiation between CAI and healthy participants.

Result: AI individuals exhibited increased mediolateral COP sway and higher mean velocity on hard surfaces with both eyes open and closed. On soft surfaces with eyes closed, they showed significant deficits in sway area and mean velocity, reflecting challenges in postural control. ROC analysis revealed that certain linear and nonlinear measures showed strong diagnostic accuracy in distinguishing individuals with CAI from healthy controls. Nonlinear analysis revealed elevated ApEn and reduced CD in CAI participants, indicating greater postural irregularity and reduced dynamic stability. On a hard surface with eyes open both Rsw (cutoff: 1.18 cm, OR: 4.55) and ApEn (cutoff: 0.07, OR: 4.0) were particularly strong diagnostic indicators.

Conclusion: Linear and nonlinear postural stability measures effectively differentiate individuals with CAI from healthy controls. Key metrics, including Rsw, MV, ApEn, and CD, offer strong diagnostic value for early detection and personalized rehabilitation. Incorporating these measures into clinical practice may improve CAI management and patient outcomes.

Ethical code: IR.TUMS.FNM.REC.1400.236. March 14, 2022.

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作为慢性踝关节不稳定诊断工具的姿势稳定性测量:一项综合评估。
背景:慢性踝关节不稳定(CAI)的特点是反复扭伤和持续症状,损害姿势控制。本研究评估了各种线性和非线性姿势稳定性测量在区分CAI患者和健康对照中的诊断效用。方法:采用力台对24例受试者(CAI组12例,健康对照12例)在硬面睁眼、硬面闭眼、硬面睁眼、软面闭眼、软面闭眼4种状态下进行体位稳定性评价。压力中心(COP)的线性测量包括正前方(Rfa)和中外侧(Rsw)方向的范围、平均速度(MV)和摇摆面积。非线性测度包括近似熵(ApEn)、最大李雅普诺夫指数(Lyapunov index)和与其标准差的相关维数(CD)。使用受试者工作特征(ROC)分析来评估诊断准确性,以确定截止分数,从而有效区分CAI和健康受试者。结果:人工智能个体在睁眼和闭眼时,在坚硬表面上表现出更大的中外侧COP摇摆和更高的平均速度。在柔软的表面上,闭着眼睛,他们在摇摆面积和平均速度上表现出明显的缺陷,反映了姿势控制方面的挑战。ROC分析显示,某些线性和非线性测量在区分CAI患者和健康对照者方面显示出很强的诊断准确性。非线性分析显示,CAI参与者的ApEn升高,CD降低,表明姿势不规定性和动态稳定性降低。在硬表面睁眼时,Rsw(截止值:1.18 cm, OR: 4.55)和ApEn(截止值:0.07,OR: 4.0)是特别强的诊断指标。结论:线性和非线性姿势稳定性测量可有效区分CAI患者和健康对照。关键指标包括Rsw、MV、ApEn和CD,为早期发现和个性化康复提供了强大的诊断价值。将这些措施纳入临床实践可以改善CAI管理和患者预后。伦理准则:IR.TUMS.FNM.REC.1400.236。2022年3月14日。
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来源期刊
BMC Sports Science Medicine and Rehabilitation
BMC Sports Science Medicine and Rehabilitation Medicine-Orthopedics and Sports Medicine
CiteScore
3.00
自引率
5.30%
发文量
196
审稿时长
26 weeks
期刊介绍: BMC Sports Science, Medicine and Rehabilitation is an open access, peer reviewed journal that considers articles on all aspects of sports medicine and the exercise sciences, including rehabilitation, traumatology, cardiology, physiology, and nutrition.
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