Clinical movement markers of pain and osteoarthritis
Research type
Research Study
Full title
Clinical movement markers of pain and osteoarthritis
IRAS ID
269296
Contact name
Adar Pelah
Contact email
Sponsor organisation
University of York
Clinicaltrials.gov Identifier
269296, 269296
Duration of Study in the UK
0 years, 8 months, 30 days
Research summary
Millions of us suffer from the painful and potentially debilitating effects of osteoarthritis (OA) and associated problems, which as we age can affect almost every aspect of our lives. A combination of manual physical therapy and supervised exercise yields functional benefits for patients with osteoarthritis of the knee and may delay or prevent the need for surgical intervention. Despite this, patients with OA and associated conditions present late to clinical services due to pain interfering with mobility. Identifying a population of patients with early OA is therefore challenging although the impact on gait is already generally established and linked to the extent of underlying degenerative processes.This research will test a group of patients with OA of the hip or knee, or related lower limb pathology by measuring their movements and extending artificial intelligence (AI) technologies to finding a clinical marker of the disease. The impact on walking following treatment will then be compared to clarify the predictability of functional gait changes and correlating this to measured improvements in health and pain reduction. This will identify predictable outcomes for conservative management strategies and build upon AI ‘learning’ in the recognition of pathology specific gait changes for future studies.
REC name
North East - York Research Ethics Committee
REC reference
19/NE/0301
Date of REC Opinion
22 Nov 2019
REC opinion
Further Information Favourable Opinion