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Stratified Recovery Curves for Patient-Reported Outcomes After Primary Total Knee Arthroplasty
Joshua P Rainey1, Brenna E Blackburn1, Claire R Kapron1
1Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Patient demographics and modifiable factors significantly impact recovery after total knee arthroplasty (TKA). Understanding these factors can improve patient counseling and outcomes for TKA recovery.
Area of Science:
- Orthopedic Surgery
- Rehabilitation Medicine
- Health Services Research
Background:
- Limited literature exists on how patient demographics and modifiable factors influence recovery after total knee arthroplasty (TKA).
- Patient-reported outcomes (PROs) are crucial for assessing TKA success.
- Understanding recovery trajectories is vital for effective perioperative counseling.
Purpose of the Study:
- To assess the influence of patient demographics and modifiable factors on PRO recovery curves after primary TKA.
- To develop visual aids for perioperative counseling based on identified recovery patterns.
Main Methods:
- Analysis of prospective multicenter data from 2196 primary TKA patients.
- Longitudinal modeling of Knee Injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS JR) scores using generalized estimating equations.
- Inclusion of interaction terms to assess differences in recovery trajectories based on age, sex, race, ethnicity, BMI, smoking, opioid use, and activity level.
Main Results:
- Younger (<50 years), female, black, Hispanic, underweight, and pre-op opioid users reported lower KOOS JR scores post-TKA.
- Women showed a significantly faster recovery rate.
- Black and Hispanic patients showed similar recovery rates to white and non-Hispanic patients, respectively.
- Pre-op opioid users had quicker initial recovery (3 months) but similar long-term rates.
Conclusions:
- Patient demographics and modifiable factors significantly impact recovery following primary TKA.
- These findings can inform and improve patient counseling regarding TKA recovery expectations.
- Visual aids derived from these recovery curves can enhance patient understanding and management.
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