Jaques Guillaume, Ulrich Baptiste, Hoffmann Laurent, Jolles Brigitte M, Favre Julien
Swiss BioMotion Lab, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), CH-1011 Lausanne, Switzerland.
NUMO Systems, CH-8953 Dietikon, Switzerland.
J Clin Med. 2023 Mar 3;12(5):2016. doi: 10.3390/jcm12052016.
Using insoles to modify walking biomechanics is of keen interest for the treatment of medial-compartment knee osteoarthritis. So far, insole interventions have focused on reducing the peak of the knee adduction moment (pKAM) and have led to inconsistent clinical outcomes. This study aimed to evaluate the changes in other gait variables related to knee osteoarthritis when patients walk with different insoles to provide insights into the necessity to enlarge the biomechanical analyses to other variables. Walking trials were recorded for 10 patients in four insole conditions. Changes among conditions were computed for six gait variables, including the pKAM. The associations between the changes in pKAM and the changes in the other variables were also assessed individually. Walking with different insoles had noticeable effects on the six gait variables, with high heterogeneity among patients. For all variables, at least 36.67% of the changes were of medium-to-large effect size. The associations with the changes in pKAM varied among variables and patients. In conclusion, this study showed that varying the insole could globally influence ambulatory biomechanics and that limiting measurement to the pKAM could lead to an important loss of information. Beyond the consideration of additional gait variables, this study also encourages personalized interventions to address inter-patient variability.
使用鞋垫来改变行走生物力学对于内侧间室膝关节骨关节炎的治疗具有重要意义。到目前为止,鞋垫干预主要集中在降低膝关节内收力矩峰值(pKAM),但其临床效果并不一致。本研究旨在评估患者穿着不同鞋垫行走时与膝关节骨关节炎相关的其他步态变量的变化,以便深入了解将生物力学分析扩展到其他变量的必要性。记录了10名患者在四种鞋垫条件下的行走试验。计算了六种步态变量(包括pKAM)在不同条件之间的变化。还分别评估了pKAM变化与其他变量变化之间的关联。穿着不同鞋垫行走对六种步态变量有显著影响,患者之间存在高度异质性。对于所有变量,至少36.67%的变化具有中等至较大的效应量。与pKAM变化的关联因变量和患者而异。总之,本研究表明,改变鞋垫可以全面影响动态生物力学,仅将测量局限于pKAM可能会导致重要信息的丢失。除了考虑额外的步态变量外,本研究还鼓励进行个性化干预以应对患者之间的变异性。