Thresholds for Oxford Knee Score after total knee replacement surgery: a novel approach to post-operative evaluation

Christian Lund Petersen, Jonas Bruun Kjærsgaard, Nicolai Kjærgaard, Michael Ulrich Jensen, Mogens Berg Laursen

Research output: Contribution to journalJournal articleResearchpeer-review

23 Citations (Scopus)
342 Downloads (Pure)

Abstract

BACKGROUND: In a prospective cohort study, we wanted to detect thresholds distinguishing between patients with a satisfactory and an unsatisfactory outcome after total knee replacement (TKR) based on Patient-Reported Outcome Measures (PROMs), namely the Oxford Knee Score (OKS), using patient satisfaction and patient-perceived function as global transition items.

METHODS: Seventy-three TKR patients completed the OKS questionnaire before surgery and were invited to complete the same questionnaire again 6 (4 to 9) months after surgery. Correlations between outcome measures and anchors were calculated using Pearson's correlation coefficient. Thresholds were established by receiver operating characteristics (ROC) analysis, using multiple anchor-based approaches.

RESULTS: Patients showed a mean increase of 16.5 (SD 9.5) in OKS following TKR. Significant positive correlations were found between outcome measures and anchors. Six different thresholds were determined for outcome measures coupled with satisfaction, patient-perceived function and a combination thereof using a cut-off of 50 and 70.

CONCLUSIONS: This study has established a set of clinically meaningful thresholds for Oxford Knee scores that may help to detect TKR patients who might be in need of post-operative evaluation.

Original languageEnglish
Article number89
JournalJournal of Orthopaedic Surgery and Research
Volume12
Number of pages6
ISSN1749-799X
DOIs
Publication statusPublished - 2017

Keywords

  • Journal Article

Fingerprint

Dive into the research topics of 'Thresholds for Oxford Knee Score after total knee replacement surgery: a novel approach to post-operative evaluation'. Together they form a unique fingerprint.

Cite this