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Cross-validation of good versus poor self-reported outcome trajectory types following knee arthroplasty.
- Source :
-
Osteoarthritis and cartilage [Osteoarthritis Cartilage] 2022 Jan; Vol. 30 (1), pp. 61-68. Date of Electronic Publication: 2021 Sep 14. - Publication Year :
- 2022
-
Abstract
- Objective: To determine whether good versus poor outcome trajectories and predictors of poor outcome obtained in a derivation study could be replicated in an independent sample of persons undergoing knee arthroplasty (KA).<br />Methods: We used data from TRIO-POPULAR, a prospective cohort study of 926 participants who underwent KA in the United Kingdom. The participants were assessed preoperatively and 6-weeks, 6- and 12-months postoperatively. The Oxford Knee Score was the primary outcome and a variety of pre-operative predictors of outcome were selected. The outcome measure and the predictors were selected to most closely align with a previously published derivation study of good versus poor outcome. Confirmatory two-piece latent class growth curve analyses were used to model outcome and regression was used to identify predictors of outcome class.<br />Results: Trajectories for the Oxford Knee Scores from TRIO-POPULAR replicated trajectories for WOMAC Pain and Function scores from the previously published derivation study. Multivariable predictors of poor outcome were pain catastrophizing (odds ratio = 1.125, 95% CI = 1.048, .206, p = 0.001) and comorbidity (odds ratio = 1.134, 95%CI = 1.049, 1.227, p = 0.002. Pain catastrophizing also predicted poor outcome in the derivation study.<br />Conclusions: Good and poor outcome trajectories replicated those found in the previously published derivation study. Our model-based method produces stable outcome trajectories despite using data from different countries and participants with substantively different characteristics. Predictors of poor outcome were somewhat inconsistent between the cross-validation and derivation studies. Pain catastrophizing was the only consistent poor outcome predictor.<br /> (Copyright © 2021 Osteoarthritis Research Society International. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1522-9653
- Volume :
- 30
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Osteoarthritis and cartilage
- Publication Type :
- Academic Journal
- Accession number :
- 34534662
- Full Text :
- https://doi.org/10.1016/j.joca.2021.09.004