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步态分析有助于区分遗传性痉挛性截瘫和脑瘫。

Gait analysis may help to distinguish hereditary spastic paraplegia from cerebral palsy.

机构信息

Department of Orthopaedic Surgery, University of Heidelberg, Schlierbacher Landstr. 200a, 69118 Heidelberg, Germany.

出版信息

Gait Posture. 2011 Apr;33(4):556-61. doi: 10.1016/j.gaitpost.2011.01.009. Epub 2011 Feb 16.

Abstract

Hereditary spastic paraplegia (HSP) designates a group of genetic disorders typically leading to spasticity in the lower limbs and consequently to gait disorders. Although the symptoms are similar to those of cerebral palsy (CP), the correct diagnosis is important for treatment recommendations as one condition is progressive in nature whereas the other is not. Due to the heterogeneity of HSP, genetic testing is complex and in some genetic forms still not possible. The aim of this study was, therefore, to investigate if instrumented 3D-gait analysis could help distinguish between these two conditions. The gait pattern of 29 patients with HSP was compared with that of 29 patients with CP who were matched in age, sex, and the extent of gait disturbance and also to 29 typically developing subjects for reference. More than 3000 gait parameters were evaluated for their relevance to classify patients into diagnostic groups. Cluster analysis revealed that these gait features may classify only subgroups of symptoms as the gait pattern is very heterogeneous within each diagnosis group. However, prolonged hip extension, knee extension, and ankle plantar flexion were identified as indicators for HSP. In addition, large trunk tilt velocities appear unique in some cases of HSP. These indicators in gait pattern may contribute in establishing the diagnosis of HSP, which is important in predicting outcome when planning surgical treatment for functional improvements in these patients.

摘要

遗传性痉挛性截瘫(HSP)是一组遗传疾病,通常导致下肢痉挛,进而导致步态障碍。虽然症状与脑瘫(CP)相似,但正确的诊断对于治疗建议很重要,因为一种疾病是进行性的,而另一种则不是。由于 HSP 的异质性,基因检测很复杂,在某些遗传形式中仍然不可能。因此,本研究旨在探讨仪器化 3D 步态分析是否有助于区分这两种情况。将 29 名 HSP 患者的步态模式与 29 名年龄、性别和步态障碍程度相匹配的 CP 患者以及 29 名正常发育的受试者进行比较。评估了 3000 多个步态参数,以确定其是否与将患者分类为诊断组相关。聚类分析表明,这些步态特征可能只能对症状的亚组进行分类,因为在每个诊断组中,步态模式非常异质。然而,髋关节伸展延长、膝关节伸展和踝关节跖屈延长被确定为 HSP 的指标。此外,在某些 HSP 病例中,躯干倾斜速度较大是独特的。步态模式中的这些指标可能有助于确定 HSP 的诊断,这对于预测手术治疗这些患者以改善功能的结果很重要。

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