About this trial
Rheumatoid arthritis affects 0.5% of the population, often leading to foot deformities and pain that are difficult to treat. Management is based on controlling inflammation, adapting footwear and using custom-made insoles, all of which have proven effective. The aim of this research is to build a digital model of plantar pressures based on CT scans, in order to optimize orthopedic insoles. The study will analyze the gait of patients with and without standard insoles to identify mechanical criteria correlated with pain. The ultimate aim is to design optimized insoles, validated by a new gait analysis.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients with rheumatoid arthritis according to 2010 ACR/EULAR criteria
RA at low activity level according to DAS28≤3.2
Patient with mechanical forefoot involvement on walking and improved by foot orthoses.
Disqualifiers
Patients with a contraindication to a bone scan
Patients with neurological gait disorders that interfere with gait analysis
Pregnant women, parturients, nursing mothers;
Persons deprived of liberty, hospitalized without consent, hospitalized for purposes other than research;
Trial design
Single group
Treatments tested in this trial
gait analysis from 3D imaging (ENSENSO)
Other interventiongait analysis from 3D imaging (ENSENSO) on patients with bone geomtry 3D imaging
Treatment groups
Trial outcomes
Primary outcomes
Construction of a patient-specific 3D model reproducing a gait cycle with or without an orthosis.
Bone geometry from 3D imaging (foot CT) combined with gait analysis (speed, step length, angular variation at the knee and ankle) from 3D imaging (ENSENSO) and accelerometers
Secondary outcomes
Correlation of model parameters with pain
\- Visual analogue scale (VAS) for pain in the right and left foot (0 = no pain; 10 = worst imaginable pain).
Correlation of model parameters with insole-wearing comfort.
Visual analogue scale (VAS) for comfort in the right and left foot (0 = most comfortable; 10 = most uncomfortable).
Sponsors and contacts
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Centre Hospitalier Universitaire de Saint Etienne
Lead sponsor
SAINBIOSE
Collaborator