Sangeux Morgan, Rodda Jill, Graham H Kerr
The Royal Children's Hospital, Australia; Murdoch Childrens Research Institute, Australia; The University of Melbourne, Australia.
The Royal Children's Hospital, Australia; Murdoch Childrens Research Institute, Australia; The University of Melbourne, Australia.
Gait Posture. 2015 Feb;41(2):586-91. doi: 10.1016/j.gaitpost.2014.12.019. Epub 2015 Jan 8.
The identification of gait patterns in cerebral palsy offers a common language for clinicians and contributes to management algorithms. We describe a quantitative classification of sagittal gait patterns based on the plantarflexor-knee extension couple index. This consists of a scatter plot based on ankle and knee scores, and allows objective identification of the sagittal gait pattern. Sagittal kinematic data from 200 limbs of 100 patients with bilateral spastic cerebral palsy were utilized to validate the algorithm against the assessment of a clinician with expertise in gait pattern identification. A dataset of 776 cerebral palsy patients, 1552 limbs, was used to compare the sagittal gait patterns against k-means statistical clustering. The classification was further explored with respect to the knee kinetics during the middle of stance and physical examination measurements of the gastrocnemius-soleus complex. Two supplementary materials (Appendices 2 and 3) provide in-depth discussion about statistical properties of the plantarflexor-knee extension couple index as well as its relationship with statistical clustering. The plantarflexor-knee extension index achieved 98% accuracy and may be suitable for the computational classification of large patient cohorts and multicentre studies. The sagittal gait patterns were strongly related to k-means statistical clustering and physical examination of the gastrocnemius-soleus complex. Patients in crouch gait had normal soleus and gastrocnemius lengths but spasticity in the gastrocnemius. Patients in jump gait exhibited a short gastrocnemius and soleus and gastrocnemius spasticity. Patients in true equinus presented with a moderately contracted soleus and gastrocnemius and gastrocnemius spasticity. Patients in apparent equinus did not show abnormal physical examination measurements for the gastrocnemius-soleus complex.
脑性瘫痪步态模式的识别为临床医生提供了一种通用语言,并有助于管理算法的制定。我们基于跖屈肌 - 膝关节伸展耦合指数描述了矢状面步态模式的定量分类。这包括一个基于踝关节和膝关节评分的散点图,能够客观地识别矢状面步态模式。利用100例双侧痉挛性脑性瘫痪患者200条肢体的矢状面运动学数据,对照一位步态模式识别专家的评估来验证该算法。使用一个包含776例脑性瘫痪患者、1552条肢体的数据集,将矢状面步态模式与k均值统计聚类进行比较。针对站立中期的膝关节动力学以及腓肠肌 - 比目鱼肌复合体的体格检查测量结果,对该分类进行了进一步探究。两篇补充材料(附录2和3)深入讨论了跖屈肌 - 膝关节伸展耦合指数的统计学特性及其与统计聚类的关系。跖屈肌 - 膝关节伸展指数的准确率达到98%,可能适用于大型患者队列的计算分类和多中心研究。矢状面步态模式与k均值统计聚类以及腓肠肌 - 比目鱼肌复合体的体格检查密切相关。蹲伏步态的患者比目鱼肌和腓肠肌长度正常,但腓肠肌存在痉挛。跳跃步态的患者腓肠肌和比目鱼肌较短且腓肠肌有痉挛。真性马蹄内翻足的患者比目鱼肌和腓肠肌中度收缩且腓肠肌有痉挛。假性马蹄内翻足的患者腓肠肌 - 比目鱼肌复合体的体格检查未显示异常。