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Prediction Modelling of TKA Non-responders Using Clinical and Pain Sensitization Measures
Osteoarthritis (OA) is disease in which the joint breaks down, causing pain. The decision to surgically replace the knee, a procedure called total knee arthroplasty (TKA), depends on x-ray results as well as pain and dysfunction. Despite TKA resulting in good outcomes for most patients, between 1 in 10 and 1 in 5 patients remain in significant pain - i.e., are 'TKA non-responders'. Two pain conditions - myofascial pain syndrome (MPS) and central sensitization - frequently coexist with signs of OA and may contribute to a TKA non-responder profile. MPS, caused by knots within skeletal muscle, can contribute to an OA patient's pain and dysfunction. In central sensitization, faulty pain sensing leads to increased pain sensitivity. However, there is currently no established process to identify these sources of pain and potential associated TKA non-responder risk. Our research aims conduct a pilot study to examine the impact of pain diagnosis tools to help orthopedic surgeons identify potential TKA nonresponders. This new approach may increase healthcare efficiency (reduce TKA waitlist and length of hospital stay), and help patients receive the right care at the right time.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
St. Joseph's Healthcare Hamilton
Hamilton, Ontario, Canada
Toronto Western Hospital
Toronto, Ontario, Canada
Start Date
September 18, 2023
Primary Completion Date
June 18, 2025
Completion Date
September 18, 2025
Last Updated
December 6, 2023
55
ESTIMATED participants
n/a, observational
OTHER
Lead Sponsor
University Health Network, Toronto
NCT05290818
NCT05642260
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