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Knee replacement outcome predicted by physiotherapists: a prospective cohort study

Authors :
Carsten Bogh Juhl
Hiwa Mukriyani
Marius Henriksen
Source :
PeerJ, Henriksen, M, Mukriyani, H & Juhl, C 2021, ' Knee replacement outcome predicted by physiotherapists : A prospective cohort study ', PeerJ, vol. 9, e10838 . https://doi.org/10.7717/peerj.10838, PeerJ, Vol 9, p e10838 (2021)
Publication Year :
2020

Abstract

Background Knee arthroplasty (KA) is commonly used for osteoarthritis of the knee joint and it is a highly successful procedure. Still, KA leaves 20% of patients dissatisfied with their outcome. The purpose of this study was to determine if a prognosis made by physiotherapists at the orthopaedic wards during the first post-operative days could predict the 6- and 12-months outcome of KA. Methods Physiotherapists at two orthopaedic wards in Denmark were asked to predict the 6- and 12-months outcome of the KA patients they have treated post-operatively on a 0–10 scale (10 representing the best prognosis). At 6 and 12 months post-operatively the patients answered the Oxford Knee Score (OKS), EuroQol 5D-3L and Patient Acceptable Symptom State (PASS). Multivariable logistic regression analyses were performed to assess the prediction of PASS and treatment success. We assessed predictive performance by examining measures of calibration and discrimination. Results A total of 361 patients were included. The models for PASS and Treatment Success showed poor to acceptable discriminative values (OR between 1.47 and 1.92 and areas under the curves of 0.62–0.73), however the calibration plots indicated significant uncertainties in the prediction. Conclusion Physiotherapists prognoses of recovery after KA are associated with 6- and 12-months patient reported outcomes and satisfaction but have weak predictive value. This study suggests that physiotherapists’ prognoses may be useful as an additional source of information when identifying patients in need of additional post-operative care.

Details

ISSN :
21678359
Volume :
9
Database :
OpenAIRE
Journal :
PeerJ
Accession number :
edsair.doi.dedup.....b109ec28a4e317a6884760aad591315a
Full Text :
https://doi.org/10.7717/peerj.10838