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Mezghani, Neila; Soltana, Rayan; Ouakrim, Youssef; Cagnin, Alix; Fuentes, Alexandre; Hagemeister, Nicola et Venditolli, Pascal-André (2022). Phenotypes In 3D knee kinematics of healthy individuals: Identification and characterization: 1160. Medicine & Science in Sports & Exercise, 54 (9S), 284. https://doi.org/10.1249/01.mss.0000878568.23911.d5
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| Catégorie de document : | Articles de revues |
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| Évaluation par un comité de lecture : | Oui |
| Étape de publication : | Publié |
| Résumé : | PURPOSE: To identify and characterize phenotypes in healthy 3D knee kinematics. METHODS: Three-dimensional (3D) knee kinematics, namely varus/valgus, flexion/extension, and tibial external/internal rotation movements, were measured via knee kinesiography. A global approach based on a hierarchical discriminant model (BIRCH) was used to separate 3D knee kinematics into homogeneous clusters. Between-phenotype comparisons were made using intracluster correlation coefficient (ICC) and 1D-Statistical parametric mapping (for kinematics), ANOVA and chi-square tests (for participants’ characteristics). RESULTS: Three phenotypes were identified from 150 healthy knees (34 men, 41 women, 33 ± 10 years, Figure 1). First phenotype (blue curve) is characterized by predominant dynamic varus alignment, neutral axial rotation during stance, and more internal tibia rotation during initial swing. This group was composed mostly of men (60.4%). Phenotype 2 (orange), comprised mainly of women (70%), show predominant dynamic valgus alignment, an externally rotated tibia throughout gait cycle. Phenotype 3 (green) shows the most neutral frontal and transverse plane alignment, but greater flexion contracture at heel strike and throughout stance. Phenotype 2 had a higher body mass index than phenotype 1 (p < 0.05). Mean ICC within each phenotype was higher in frontal (0.67) and transverse (0.53) planes compared to sagittal (0.38), suggesting a greater contribution of these planes to identify distinct phenotypes. CONCLUSION: Healthy knee 3D kinematics may be divided in three phenotypes. This finding will help better understand the impact of knee disorders and therefore help define more personalized care plan. |
| Adresse de la version officielle : | https://journals.lww.com/acsm-msse/Fulltext/2022/0... |
| Déposant: | Ayena, Johannes |
| Responsable : | Johannes Ayena |
| Dépôt : | 08 mars 2023 20:49 |
| Dernière modification : | 08 mars 2023 20:49 |
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