Santos Diara Raiane, Pimenta Emilly Zatta, Soeira Thabata Pasquini, Serenza Felipe de Souza, Pontes Mariana Demétrio de Sousa, Herrero Carlos Fernando Pereira da Silva
Universidade de Sao Paulo, Faculdade de Medicina, Hospital das Clínicas de Ribeirao Preto, Departamento de Ortopedia e Anestesiologia, Ribeirao Preto, SP, Brazil.
Universidade de Sao Paulo, Faculdade de Medicina, Hospital das Clínicas de Ribeirao Preto, Departamento de Reabilitação e Desempenho Funcional, Ribeirao Preto, SP, Brazil.
Acta Ortop Bras. 2024 Oct 28;32(5):e278864. doi: 10.1590/1413-785220243205e278864. eCollection 2024.
This study aims to describe a kinematic gait assessment protocol and identify its main alterations in individuals with cervical spondylotic myelopathy (CSM) compared to healthy patients.
In total, 14 patients diagnosed with CSM were enrolled and submitted to a three-dimensional gait analysis. The movement of patients was captured with infrared emission cameras that identified tracking markers placed on the lower limbs. Reference positions were used, and the patients walked along a rubberized walkway. The Gait Profile Score (GPS) and Movement Analysis Profile (MAP) were used to analyze variables. Results were subjected to a Student's t-test at 95% confidence interval. The R Core Team (2016) software was used for statistical analysis, graphically comparing the study results with data from healthy patients.
When comparing the kinematic data bilaterally, no statistical differences were found. However, graphical analysis showed changes in the gait of patients with CSM compared to healthy individuals. There were differences in all movements, with a more significant discrepancy in hip and knee flexion and extension, dorsiflexion and plantar flexion, and internal and external hip rotation.
We describe a protocol for gait kinematics assessment using GPS and MAP, and we presented the differences in gait kinematics in patients with CSM compared to healthy individuals.
本研究旨在描述一种运动步态评估方案，并确定与健康患者相比，脊髓型颈椎病（CSM）患者的主要步态改变。
共纳入14例诊断为CSM的患者，并对其进行三维步态分析。使用红外发射相机捕捉患者的运动，这些相机可识别放置在下肢的跟踪标记。采用参考位置，患者沿着橡胶跑道行走。使用步态轮廓评分（GPS）和运动分析轮廓（MAP）来分析变量。结果采用95%置信区间的学生t检验。使用R核心团队（2016）软件进行统计分析，将研究结果与健康患者的数据进行图形化比较。
双侧运动学数据比较时，未发现统计学差异。然而，图形分析显示，与健康个体相比，CSM患者的步态存在变化。所有运动均存在差异，髋部和膝部的屈伸、背屈和跖屈以及髋部的内旋和外旋差异更为显著。
我们描述了一种使用GPS和MAP进行步态运动学评估的方案，并展示了CSM患者与健康个体在步态运动学方面的差异。
