Literature DB >> 33665020

Knee replacement outcome predicted by physiotherapists: a prospective cohort study.

Marius Henriksen1, Hiwa Mukriyani1, Carsten Juhl2,3.   

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. ©2021 Henriksen et al.

Entities:  

Keywords:  Physiotherapy; Rehabilitation; Total knee replacement

Year:  2021        PMID: 33665020      PMCID: PMC7908868          DOI: 10.7717/peerj.10838

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


  23 in total

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