Individualised Gait Modification Strategies in Alkaptonuria Patients

Alkaptonuria Clinical Trial

Official title: Determining Individualised Gait Modification Strategies to Reduce Knee Joint Moments in Alkaptonuria Patients Using Real-time Feedback

Status Not yet recruiting

Clinical Trial Summary

This study evaluates the efficacy of a gait modification intervention using real-time biofeedback on reducing the knee joint loading in Alkaptonuria patients during treadmill walking. It will also assess whether the individualised adopted gait modification can be retained without feedback and during over ground walking.

Clinical Trial Description

Alkaptonuria (AKU) is a degenerative disease affecting the cartilage of the joints. The disease affects movement function, particularly walking/gait which is an important activity of daily living. It is believed that increased joint loading measured by the moments acting upon the joints, contributes to the degeneration of joint cartilage in Alkaptonuria, particularly in the weight bearing joints such as the knee and hips, resulting in accelerated progression of painful symptoms. Currently there is no cure for Alkaptonuria and the current management includes joint replacement surgery. Gait modification strategy interventions could be a non-invasive alternative which could delay the time to surgical interventions by reducing or altering joint loading and stalling the progression of disease.

The aims of this study are 1) to determine if individualised gait modification strategies can be used to reduce the 3D knee joint loading, 2) to determine if the gait modifications can be retained without feedback during over ground walking and 3) to determine the individualised gait modification strategies adopted by AKU patients.

Gait data will be measured and quantified using the non-invasive typical clinical gait analysis set up, using 3D motion capture combined with force data whereby joint angles, moments and powers can be calculated in all 3 planes of motion during treadmill walking. The intervention will involve real-time biofeedback using Motek's M-Gait treadmill. Due to the heterogeneity of the sample, each AKU patient will act as their own control. Gait data will be compared pre- and post-intervention and a validated pain score will be used to identify any patterns with knee pain and adopted gait modifications. ;

Related Conditions & MeSH terms

• Alkaptonuria

• NCT number: NCT04142671
• Study type: Interventional
• Source: Liverpool John Moores University
• Contact: Hannah H Shepherd
• Phone: +447711490847
• Email: H.R.Shepherd@ljmu.ac.uk
• Status: Not yet recruiting
• Phase: N/A
• Start date: October 2021
• Completion date: October 2022