Walker Department of Mechanical Engineering, University of Texas at Austin, 204 E Dean Keeton St, Austin, TX 78712, USA.
St. David's Medical Center, 3000 N Interstate Hwy 35 #660, Austin, TX 78705, USA.
Clin Biomech (Bristol). 2024 Dec;120:106351. doi: 10.1016/j.clinbiomech.2024.106351. Epub 2024 Sep 21.
Stiff-Knee gait affects 25-75 % of individuals with post-stroke gait impairment and is typically defined as reduced swing phase knee flexion. Different studies use various measures to identify Stiff-Knee gait, such as peak swing knee flexion angle, timing of peak knee flexion, knee range of motion, and ankle push-off acceleration, leading to inconsistent results.
This study used univariate cluster analysis to examine the independence, consistency, validity, and accuracy of different definitions in 50 post-stroke individuals (24 with and 26 without Stiff-Knee gait), as determined by a physiatrist. Spearman's rank correlation was used for correlation analysis, and five clustering techniques along with clinician evaluations were used for validity analysis.
Correlation analysis showed that peak knee flexion timing and knee hyperextension are poorly correlated with reduced swing-phase knee flexion angle (ρ = -0.09 and ρ = -0.26 respectively). Validity analysis indicated that the between-limb difference in peak swing knee flexion angle and peak swing knee flexion angle at self-selected gait speeds were the most valid differentiators. At the fastest comfortable gait speed, the between-limb difference of peak knee flexion angle had the highest sensitivity, lowest specificity, and highest F1 scores.
We determined thresholds of less than 44.3° for peak swing knee flexion angle and greater than 17.0° for the between-limb difference of peak knee flexion angle identify Stiff-Knee gait during self-selected walking. We recommend using the difference in peak swing knee flexion angle between limbs to diagnose post-stroke Stiff-Knee gait due to its robustness to changes in gait speed.
僵硬膝步态影响 25-75%的脑卒中后步态障碍患者,其典型特征为摆动相膝关节屈曲减少。不同的研究使用不同的方法来识别僵硬膝步态,例如峰值摆动相膝关节屈曲角度、峰值膝关节屈曲时间、膝关节活动范围和踝关节蹬离加速度,导致结果不一致。
本研究使用单变量聚类分析来检验 50 名脑卒中患者(24 名有僵硬膝步态,26 名无僵硬膝步态)中不同定义的独立性、一致性、有效性和准确性,这些定义由物理治疗师确定。Spearman 秩相关用于相关性分析,五种聚类技术和临床医生评估用于有效性分析。
相关性分析表明,峰值膝关节屈曲时间和膝关节过伸与摆动相膝关节屈曲角度减少的相关性较差(ρ分别为-0.09 和-0.26)。有效性分析表明,峰值摆动相膝关节屈曲角度和自我选择步行速度下的峰值摆动相膝关节屈曲角度的肢体间差异是最有效的区分因素。在最快舒适的步行速度下,峰值膝关节屈曲角度的肢体间差异具有最高的灵敏度、最低的特异性和最高的 F1 评分。
我们确定了峰值摆动相膝关节屈曲角度小于 44.3°和峰值膝关节屈曲角度肢体间差异大于 17.0°的阈值来识别自我选择步行时的僵硬膝步态。我们建议使用肢体间峰值摆动相膝关节屈曲角度的差异来诊断脑卒中后僵硬膝步态,因为它对步行速度的变化具有鲁棒性。