Force‐sensing treadmill gait analysis system can detect gait abnormalities in haemophilia patients without arthropathy

Author:

Mawarikado Yuya1ORCID,Sakata Asuka1,Inagaki Yusuke2,Harada Suguru13,Tatsumi Kohei14ORCID,Matsumoto Naoki13,Ogiwara Kenichi5,Yada Koji56ORCID,Yoshimura Yasushi3,Kido Akira2,Tanaka Yasuhito7,Shima Midori1ORCID,Nogami Keiji15ORCID

Affiliation:

1. Medicinal Biology of Thrombosis and Haemostasis Nara Medical University Kashihara Nara Japan

2. Department of Rehabilitation Medicine Nara Medical University Kashihara Nara Japan

3. Product Research Department Medical Affairs Division Chugai Pharmaceutical Co., Ltd Yokohama City Kanagawa Japan

4. Advanced Medical Science of Thrombosis and Haemostasis Nara Medical University Kashihara Nara Japan

5. Department of Paediatrics Nara Medical University Kashihara Nara Japan

6. Neonatal Intensive Care, Maternal Fetal and Neonatal Medical Center Nara Medical University Hospital Kashihara Nara Japan

7. Department of Orthopaedic Surgery Nara Medical University Kashihara Nara Japan

Abstract

AbstractBackgroundJoint damage in patients with haemophilia (PwH) is commonly assessed by imaging, but few reports have described how structural changes in joints, for example, haemophilic arthropathy (HA)—affect gait ability.ObjectivesWe evaluated gait function among PwH with HA, PwH without HA, and people without haemophilia (non‐PwH) using a Zebris FDM‐T treadmill (FDM‐T), an easy‐to‐use gait assessment instrument with a force sensor matrix.MethodsThe following gait parameters were collected: centre of pressure trajectory intersection (COPi) anterior/posterior variability, COPi lateral variability, COPi anterior/posterior symmetry, COPi lateral symmetry, single‐limb support line (SLSL) length, and SLSL variability. Participants walked at their typical gait speed. The physical function of the PwH was assessed by the Hemophilia Joint Health Score (HJHS). Parameters were compared among the three groups.ResultsTwelve PwH with HA, 28 PwH without HA, and 12 non‐PwH were enrolled. Gait speed significantly differed between groups (non‐PwH, 3.1 ± 0.7; PwH without HA, 2.0 ± 0.7; PwH with HA; 1.5 ± 0.4). The COPi anterior/posterior variability, COPi lateral variability, SLSL length, and SLSL variability were greater in the PwH groups than in the non‐PwH group. The COPi lateral symmetry differed between PwH with HA and the other groups. The HJHS was not correlated with gait parameters among PwH with HA.ConclusionsGait parameters and speed were abnormal in both PwH with HA and PwH without HA. The FDM‐T can be used to identify early stages of physical dysfunction that cannot be detected by conventional functional assessments such as the HJHS.

Funder

Chugai Pharmaceutical

Publisher

Wiley

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