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

被引:13
作者
Amene, Juliet [1 ,2 ]
Krzak, Joseph J. [2 ,3 ,4 ]
Kruger, Karen M. [2 ,4 ]
Killen, Logan [5 ]
Graf, Adam [4 ]
Altiok, Haluk [4 ,6 ]
Smith, Peter A. [4 ,6 ]
Harris, Gerald F. [2 ,4 ]
机构
[1] Johns Hopkins Univ, Dept Phys Med & Rehabil, 600 N Wolfe St, Baltimore, MD USA
[2] Marquette Univ, OREC, Med Coll Wisconsin, 1515 W Wisconsin Ave, Milwaukee, WI 53233 USA
[3] Midwestern Univ, Phys Therapy Program, Coll Hlth Sci, 555 31st St, Downers Grove, IL 60515 USA
[4] Shriners Hosp Children Chicago, 2211 North Oak Pk Ave, Chicago, IL 60707 USA
[5] RUSH Univ, Med Ctr, Dept Behav Sci, Biol Rhythms Res Lab, 1645 W Jackson Blvd, Chicago, IL 60612 USA
[6] RUSH Univ, Med Ctr, Dept Orthopaed Surg, Coll Med, 1611 West Harrison St, Chicago, IL 60612 USA
关键词
Cerebral palsy; Pes planovalgus; Gait; Multi-segment foot modeling; CHILDREN; SUBTALAR; DEFORMITY; ALIGNMENT; HINDFOOT; FEET;
D O I
10.1016/j.gaitpost.2018.12.026
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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).
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页码:430 / 436
页数:7
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