Eerdekens Maarten, Staes Filip, Matricali Giovanni A, Wuite Sander, Peerlinck Kathelijne, Deschamps Kevin
KU Leuven, Department of Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Group, Heverlee, Belgium; UZ Leuven, Clinical Motion Analysis Laboratorium (CMAL), Pellenberg, Belgium.
KU Leuven, Department of Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Group, Heverlee, Belgium.
Clin Biomech (Bristol). 2019 Jul;67:160-165. doi: 10.1016/j.clinbiomech.2019.05.005. Epub 2019 May 10.
Rigid foot modelling approaches are still widely used to assess ankle joint kinetics in clinical biomechanical research. Yet, studies on healthy subjects using multi-segment kinetic foot models indicated that one-segment kinetic foot models tend to overestimate ankle joint kinetic data. Our aim was to compare ankle joint kinetics computed with a one-segment versus a multi-segment kinetic foot model in both asymptomatic and pathological gait. We also assessed whether differences between models can lead to different interpretations in clinical decision-making.
A two-factor repeated measure analysis of variance was performed to investigate differences in ankle joint kinetics, with the first factor being group effect (control vs. patients) and second factor being foot model effect (one-segment vs. multi-segment). Minimal detectable change was calculated to assess the clinical relevance of the observed differences in ankle joint kinetics.
Ankle joint peak kinematic, angular velocity and kinetic variables were all significantly overestimated (P < 0.05) when computed with the one-segment kinetic foot model. Kinetic differences in peak plantarflexion angular velocity and peak power generation were higher than their MDC-values.
Ankle joint kinetics are significantly overestimated when computed with a rigid foot modelling approach in both asymptomatic and pathological gait. This overestimation leads to clinical misinterpretations as MDC-values were less than the observed overestimation. In future studies, it is of clinical relevance to assess ankle joint kinetics with a multi-segment foot modelling approach.
在临床生物力学研究中,刚性足部建模方法仍被广泛用于评估踝关节动力学。然而,对健康受试者使用多节段动力学足部模型的研究表明,单节段动力学足部模型往往会高估踝关节动力学数据。我们的目的是比较在无症状和病理性步态中,使用单节段与多节段动力学足部模型计算出的踝关节动力学。我们还评估了模型之间的差异是否会在临床决策中导致不同的解释。
进行双因素重复测量方差分析以研究踝关节动力学的差异,第一个因素是组效应(对照组与患者组),第二个因素是足部模型效应(单节段与多节段)。计算最小可检测变化以评估观察到的踝关节动力学差异的临床相关性。
使用单节段动力学足部模型计算时,踝关节峰值运动学、角速度和动力学变量均被显著高估(P<0.05)。峰值跖屈角速度和峰值发电的动力学差异高于其最小可检测变化值。
在无症状和病理性步态中,使用刚性足部建模方法计算踝关节动力学时会显著高估。这种高估会导致临床误解,因为最小可检测变化值小于观察到的高估。在未来的研究中,使用多节段足部建模方法评估踝关节动力学具有临床相关性。