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.
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 function...
| Published in: | International Journal of Orthopaedic & Trauma Nursing Vol. 45 |
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| Main Authors: | , , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
May2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156779541&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156779541 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18781241 B57O jtl: International Journal of Orthopaedic & Trauma Nursing issn: 18781241 maglogo: N pubinfo: dt: May2022 vid: 45 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 156779541 156779541 156779541 10.1016/j.ijotn.2021.100919 156779541 ppct: 1 formats: tig: atl: 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. aug: au: Buus, Amanda A.Ø. Laugesen, Britt El-Galaly, Anders Laursen, Mogens Hejlesen, Ole K. affil: Department of Orthopaedic Surgery, Aalborg University Hospital, Aalborg, Denmark sug: subj: Arthroplasty, Replacement, Knee Methods Knee Pain Functional Status Outcome Assessment Human Scales Nonexperimental Studies Retrospective Design Prospective Studies Postoperative Pain Multiple Logistic Regression ROC Curve Algorithms ab: 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. 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. 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. The best overall version for predicting clinically meaningful improvements had an area under the receiver operating characteristic curve of 0.79 for both pain and function, whereas Nagelkerke's R2 was 0.322 and 0.334, respectively. 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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