Ny artikel - The potential of dividing the oxford knee score into subscales for predicting clinically meaningful improvements in pain and function of patients undergoing total knee arthroplasty
Abstract
Background: Subdividing the Oxford Knee Score (OKS) into a pain component scale (OKS-PCS) and a function component scale (OKS-FCS) for predicting clinically meaningful improvements may provide a basis for identifying patients in need of enhanced support from health care professionals to manage pain and functional challenges following total knee arthroplasty.
Aim: To assess the potential of dividing the OKS into subscales for predicting clinically meaningful improvements in pre- and postoperative pain and function by comparing two different versions of extracting pain and function derived from the OKS.
Methods: This retrospective observational cohort study included 201 patients undergoing total knee arthroplasty. Multiple logistic regression analysis was applied for binary classification of whether patients achieved clinically meaningful improvements in pain and function.
Results: The best overall version for predicting clinically meaningful improvements had an AUC of 0.79 for both pain and function, whereas Nagelkerke's R2 was 0.322 and 0.334, respectively.
Conclusion: The findings indicate that it is reasonable to subdivide the OKS into subscales for predicting clinically meaningful improvements in pain and function. However, more studies are needed to compare various types of classification algorithms in larger patient populations.
Artiklen er publiceret i International Journal of Orthopaedic and Trauma Nursing december 2021 og forfattet af: Amanda Agnes Østervig Buus, Britt Laugesen, Anders El-Galalya, Mogens Laursen & Ole Hejlesen.
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