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Angelman 综合征的运动发育定量评估。

Quantitative measures of motor development in Angelman syndrome.

机构信息

Center for Gait & Movement Analysis (CGMA), Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

Section of Genetics and Inherited Metabolic Disease, Department of Pediatrics, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

出版信息

Am J Med Genet A. 2023 Jul;191(7):1711-1721. doi: 10.1002/ajmg.a.63192. Epub 2023 Apr 5.

Abstract

Angelman Syndrome is a rare neurodevelopmental disorder characterized by developmental delay, lack of speech, seizures, intellectual disability, characteristic behavior, and movement disorders. Clinical gait analysis provides the opportunity for movement quantification to investigate an observed maladaptive change in gait pattern and offers an objective outcome of change. Pressure-sensor-based technology, inertial and activity monitoring, and instrumented gait analysis (IGA) were employed to define motor abnormalities in Angelman syndrome. Temporal-spatial gait parameters of persons with Angelman Syndrome (pwAS) show deficiencies in gait performance through walking speed, step length, step width, and walk ratio. pwAS walk with reduced step lengths, increased step width, and greater variability. Three-dimensional motion kinematics showed increased anterior pelvic tilt, hip flexion, and knee flexion. PwAS have a walk ratio more than two standard deviations below controls. Dynamic electromyography showed prolonged activation of knee extensors, which was associated with a decreased range of motion and the presence of hip flexion contractures. Use of multiple gait tracking modalities revealed that pwAS exhibit a change in gait pattern to a flexed knee gait pattern.  Cross-sectional studies of individuals with AS show a regression toward this maladaptive gait pattern over development in pwAS ages 4-11. PwAS unexpectedly did not have spasticity associated with change in gait pattern. Multiple quantitative measures of motor patterning may offer early biomarkers of gait decline consistent with critical periods of intervention, insight into appropriate management strategies, objective primary outcomes, and early indicators of adverse events.

摘要

安琪曼综合征是一种罕见的神经发育障碍,其特征为发育迟缓、言语缺失、癫痫、智力障碍、特征性行为和运动障碍。临床步态分析为运动量化提供了机会,可用于研究观察到的步态模式适应性改变,并提供了变化的客观结果。基于压力传感器的技术、惯性和活动监测以及仪器化步态分析(IGA)被用于定义安琪曼综合征的运动异常。安琪曼综合征患者(pwAS)的时空步态参数显示,其步态表现存在不足,包括步行速度、步长、步宽和步比。pwAS 表现为步长缩短、步宽增加和变异性增大。三维运动运动学显示骨盆前倾、髋关节屈曲和膝关节屈曲增加。pwAS 的步比低于对照组两个标准差以上。动态肌电图显示膝关节伸肌的激活时间延长,这与运动范围减小和髋关节屈曲挛缩的存在有关。使用多种步态跟踪模式显示,pwAS 表现出一种弯曲膝关节的步态模式改变。AS 患者的横断面研究表明,在 4-11 岁的 pwAS 中,这种适应性不良的步态模式会随着发育而回归。pwAS 出人意料地没有与步态模式改变相关的痉挛。运动模式的多种定量测量方法可能提供与干预关键期一致的步态下降的早期生物标志物、适当管理策略的见解、客观的主要结局以及不良事件的早期指标。

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