Navegando por Palavras-chave "Análise De Movimento"

Agora exibindo 1 - 1 de 1
  • Nenhuma Miniatura disponível
    Item
    Somente Metadadados
    Identificação e caracterização de perfis de marcha em indivíduos com osteoartrose do joelho – uma abordagem com Inteligência Artificial e análise de movimento 3D
    (Universidade Federal de São Paulo (UNIFESP), 2021) Gonzalez, Felipe Fernandes [UNIFESP]; Luzo, Marcus Vinicius Malheiros [UNIFESP]; Universidade Federal de São Paulo
    Objectives: To identify different gait profiles in patients with advanced knee osteoarthritis and verify differences in clinical and radiographic characteristics of the profiles found. Methods: 42 individuals were selected from the total knee arthroplasty waiting list. The volunteers had data collected from the 3D kinematics of the knee during gait using an 8-camera optoelectronic system. Principal component analysis, self-organizing maps and k-means technique were used to identify gait profiles. The Kruskal-Wallis test was used for comparison between groups and the Tukey test for multiple comparison. The data collected from knee strength, knee range of motion, tibial slope, femorotibial angle, radiographic severity, anthropometric measurements and self-reported measures of functionality were compared between groups using the Kruskal-Wallis test (continuous and ordinal variables) and Fisher (nominal variables). Dunn's test with Sidák adjustment was used for multiple comparisons. The level of significance was set at 5%. The results were also presented in common language effect size. Results: Four different gait profiles were found. Profile 1 (n = 6, 14%) showed a gait pattern with increased knee adduction in the coronal plane and increased maximum and minimum knee flexion in the sagittal plane (p <0.01). From a clinical perspective, profile 1 presented gait in knee flexion and varus, without passive extension restriction and with increased tibial slope. Profile 2 presented a gait pattern with excessive maximum and minimum knee external rotation (n = 11, 26%; p <0.001). Clinically, a gait in external rotation of the knee, with no differences regarding clinical functionality and radiographic severity. Profile 3 (n = 17, 40%) showed a decreased knee range of motion in the sagittal plane (p <0.001). This profile can be clinically characterized, as a stiff gait in extension and with less strength of the quadriceps. Profile 4 (n = 8, 19%) showed an excessive range of motion in the coronal plane and decreased range of motion in the transverse plane (p <0.05). From a clinical point of view, a gait with varus thrust and with alteration of the screw-home mechanism, with higher levels of pain and higher BMI. Among the clinical and radiographic characteristics, only the BMI was statistically different between the profiles (p: 0.01). Conclusions: We identified four distinct gait profiles in a homogeneous population from the point of view of radiographic severity and prognosis, that were not associated with most of the clinical and radiographic characteristics commonly measured in clinical practice. 3D biomechanical assessment of gait and stratification of samples into gait profiles could be important in research involving advanced knee osteoarthritis.