Byrnes S Kimberly, Holder Jana, Stief Felix, Wearing Scott, Böhm Harald, Dussa Chakravarty U, Horstmann Thomas
Orthopedic Children's Hospital, Kind im Zentrum - Chiemgau, Aschau, Germany; Department of Sports and Health Sciences, Institute for Conservative and Rehabilitative Orthopedics, Technical University of Munich, Germany.
Department of Orthopedics (Friedrichsheim), University Hospital Frankfurt, Frankfurt am Main, Germany; Faculty of Medicine, Goethe University, Frankfurt am Main, Germany.
Gait Posture. 2022 Oct;98:39-48. doi: 10.1016/j.gaitpost.2022.07.258. Epub 2022 Aug 1.
The frontal plane knee moment (KAM1 and KAM2) derived from non-invasive three-dimensional gait analysis is a surrogate measure for knee joint load and of great interest in clinical and research settings. Many aspects can influence this measure either unintentionally or purposely in order to reduce the knee joint load to relieve symptoms and pain. All these aspects must be known when conducting a study or interpreting gait data for clinical decision-making.
This systematic review was registered with PROSPERO (CRD42020187038). Pubmed and Web of Science were searched for peer-reviewed, original research articles in which unshod three-dimensional gait analysis was undertaken and KAM1 and KAM2 were included as an outcome variable. Two reviewers independently screened articles for inclusion, extracted data and performed a methodological quality assessment using Downs and Black checklist.
In total, 42 studies were included. Based on the independent variable investigated, these studies were divided into three groups: 1) gait modifications, 2) individual characteristics and 3) idiopathic orthopedic deformities. Among others, fast walking speeds (1) were found to increase KAM1; There were no sex-related differences (2) and genu valgum (3) reduces KAM1 and KAM2.
While consistent use of terminology and reporting of KAM is required for meta-analysis, this review indicates that gait modifications (speed, trunk lean, step width), individual characteristics (body weight, age) and idiopathic orthopedic deformities (femoral or tibial torsion, genu valgum/varum) influence KAM magnitudes during walking. These factors should be considered by researchers when designing studies (especially of longitudinal design) or by clinicians when interpreting data for surgical and therapeutic decision-making.
通过非侵入性三维步态分析得出的额状面膝关节力矩(KAM1和KAM2)是膝关节负荷的替代指标,在临床和研究环境中备受关注。许多因素可能会无意或有意地影响这一指标,以减轻膝关节负荷、缓解症状和疼痛。在开展研究或解读步态数据以进行临床决策时,必须了解所有这些因素。
本系统评价已在国际前瞻性系统评价注册库(PROSPERO,注册号:CRD42020187038)登记。检索了PubMed和科学网,查找进行了赤足三维步态分析且将KAM1和KAM2作为结果变量的同行评审原创研究文章。两名评审员独立筛选文章以确定纳入与否,提取数据,并使用唐斯和布莱克清单进行方法学质量评估。
共纳入42项研究。根据所研究的自变量,这些研究分为三组:1)步态改变,2)个体特征,3)特发性骨科畸形。其中,发现快走速度(1)会增加KAM1;不存在性别差异(2),膝外翻(3)会降低KAM1和KAM2。
虽然荟萃分析需要对KAM术语进行一致使用和报告,但本综述表明,步态改变(速度、躯干前倾、步宽)、个体特征(体重、年龄)和特发性骨科畸形(股骨或胫骨扭转、膝外翻/内翻)会影响步行时的KAM大小。研究人员在设计研究(尤其是纵向设计)时或临床医生在解读数据以进行手术和治疗决策时应考虑这些因素。