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继发于脑瘫的青少年扁平外翻足的运动学足部类型

Kinematic foot types in youth with pes planovalgus secondary to cerebral palsy.

作者信息

Amene Juliet, Krzak Joseph J, Kruger Karen M, Killen Logan, Graf Adam, Altiok Haluk, Smith Peter A, Harris Gerald F

机构信息

Department of Physical Medicine and Rehabilitation, Johns Hopkins University, 600 N. Wolfe St., Baltimore, MD, United States; Orthopaedic & Rehabilitation Engineering Center (OREC), Marquette University/Medical College of Wisconsin, 1515 W Wisconsin Ave, Milwaukee, WI 53233, United States.

Orthopaedic & Rehabilitation Engineering Center (OREC), Marquette University/Medical College of Wisconsin, 1515 W Wisconsin Ave, Milwaukee, WI 53233, United States; Midwestern University, Physical Therapy Program, College of Health Sciences, 555 31st Street, Downers Grove, IL, United States; Shriners Hospitals for Children®-Chicago, 2211 North Oak Park Ave., Chicago, IL, United States.

出版信息

Gait Posture. 2019 Feb;68:430-436. doi: 10.1016/j.gaitpost.2018.12.026. Epub 2018 Dec 21.

Abstract

BACKGROUND

Kinematic variability of the foot and ankle segments exists during ambulation among individuals with pes planovalgus (PPV) secondary to cerebral palsy (CP). Clinicians have previously recognized such variability through classification schemes to identify subgroups of individuals, but have been unable to identify kinematic foot types.

RESEARCH QUESTION

The purpose of this work was to identify kinematic foot types among children with PPV secondary to CP using 3-dimensional multi-segment foot and ankle kinematics during gait as inputs for principal component analysis (PCA) and K-means cluster analysis.

METHODS

In a single assessment session, multi-segment foot and ankle kinematics using the Milwaukee Foot Model (MFM) were collected in 31 children/adolescents with pes planovalgus (49 feet) and 16 typically developing (TD) children/adolescents (31 feet). PCA was used as a data reduction technique on 34 kinematic variables. K-means cluster analysis was performed on the identified principal components (PCs) and one-way analyses of variance (ANOVA) was done to determine the effect of subgroup membership on PC scores.

RESULTS

The PCA reduced the kinematic variables to seven PCs which accounted for 91% of the total variance. Six distinct kinematic foot types were identified by the cluster analysis. The foot types showed unique kinematic characteristics in both the hindfoot and forefoot.

SIGNIFICANCE

This study provides further evidence of kinematic variability in the foot and ankle during ambulation associated with pes planovalgus secondary to CP. The specific contributions of the hindfoot and forefoot would not have been detected using a single segment foot model. The identification of kinematic foot types with unique foot and ankle characteristics has the potential to improve treatment since patients within a foot type are likely to benefit from similar intervention(s).

摘要

背景

脑性瘫痪(CP)继发扁平足外翻(PPV)的个体在行走过程中,足和踝关节节段存在运动学变异性。临床医生此前通过分类方案认识到这种变异性,以识别个体亚组,但未能识别运动学足型。

研究问题

本研究的目的是,利用步态期间的三维多节段足和踝关节运动学作为主成分分析(PCA)和K均值聚类分析的输入,识别CP继发PPV儿童的运动学足型。

方法

在一次评估中,对31名患有扁平足外翻的儿童/青少年(49只脚)和16名发育正常(TD)的儿童/青少年(31只脚),使用密尔沃基足模型(MFM)收集多节段足和踝关节运动学数据。PCA被用作一种数据降维技术来处理34个运动学变量。对识别出的主成分(PCs)进行K均值聚类分析,并进行单因素方差分析(ANOVA)以确定亚组成员对PC分数的影响。

结果

PCA将运动学变量减少到7个主成分,这些主成分占总方差的91%。聚类分析识别出六种不同的运动学足型。这些足型在后足和前足均表现出独特的运动学特征。

意义

本研究为CP继发PPV患者行走过程中足和踝关节的运动学变异性提供了进一步证据。使用单节段足模型无法检测到后足和前足的具体贡献。识别具有独特足和踝关节特征的运动学足型有可能改善治疗,因为同一足型内的患者可能从相似的干预措施中获益。

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