Gait Alteration Due to Haemophilic Arthropathies in Patients with Moderate Haemophilia

Alban Fouasson-Chailloux, Fabien Leboeuf, Yves Maugars, Marc Trossaert, Pierre Menu, François Rannou, Claire Vinatier, Jérome Guicheux, Raphael Gross and Marc Dauty
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Alban Fouasson-Chailloux: Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Nantes Université, ONIRIS, 44042 Nantes, France
Fabien Leboeuf: Movement-Interactions-Performance (MIP), EA 4334, CHU Nantes, Nantes Université, 44000 Nantes, France
Yves Maugars: Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Nantes Université, ONIRIS, 44042 Nantes, France
Marc Trossaert: Centre Régional de Traitement de l’Hémophilie, CHU Nantes, Nantes Université, 44000 Nantes, France
Pierre Menu: Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Nantes Université, ONIRIS, 44042 Nantes, France
François Rannou: Service de Rééducation et de Réadaptation de l’Appareil Locomoteur et des Pathologies du Rachis, Hôpitaux Universitaires-Paris Centre, Groupe Hospitalier Cochin, Assistance Publique—Hôpitaux de Paris, 75014 Paris, France
Claire Vinatier: Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Nantes Université, ONIRIS, 44042 Nantes, France
Jérome Guicheux: Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Nantes Université, ONIRIS, 44042 Nantes, France
Raphael Gross: Movement-Interactions-Performance (MIP), EA 4334, CHU Nantes, Nantes Université, 44000 Nantes, France
Marc Dauty: Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Nantes Université, ONIRIS, 44042 Nantes, France

IJERPH, 2022, vol. 19, issue 12, 1-9

Abstract: Some patients with moderate haemophilia (PWMH) report joint damage potentially responsible for gait disorders. Three-dimensional gait analysis (3DGA) is a relevant tool for the identification of complex musculoskeletal impairment. We performed an evaluation with 3DGA of 24 PWMH aged 44.3 ± 16.1 according to their joint status [Haemophilia Joint Health Score (HJHS) < 10 or HJHS ≥ 10] and assessed the correlation with the radiological and clinical parameters. Sixteen had HJHS < 10 (group 1) and eight had HJHS ≥ 10 (group 2). They were compared to 30 healthy subjects of a normative dataset. Both knee and ankle gait variable scores were increased in group 2 compared to the controls ( p = 0.02 and p = 0.04, respectively). The PWMH of group 2 had a significant increase in their stance phase, double support duration, and stride width compared to the controls and group 1 ( p < 0.01). Very low correlations were found for the ankle gait variable score with the ankle Pettersson sub-score (r 2 = 0.250; p = 0.004) and ankle HJHS sub-score (r 2 = 0.150; p = 0.04). For the knee, very low correlation was also found between the knee gait variable score and its HJHS sub-score (r 2 = 0.290; p < 0.0001). Patients with moderate haemophilia presented a gait alteration in the case of poor lower limb joint status.

Keywords: haemophilia; arthropathy; 3D gait analysis; walking; Haemophilia Joint Health Score (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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