Literature DB >> 32290706

Which patients improve most after total hip arthroplasty? Influence of patient characteristics on patient-reported outcome measures of 22,357 total hip arthroplasties in the Dutch Arthroplasty Register.

Rinne M Peters1,2, Liza N van Steenbergen3, Roy E Stewart2, Martin Stevens2, Paul C Rijk1, Sjoerd K Bulstra2, Wierd P Zijlstra1.   

Abstract

BACKGROUND: Patient-reported outcome measures (PROMs) after total hip arthroplasty (THA), can be influenced by patient characteristics (case-mix factors). We used the Dutch Arthroplasty Register (LROI) to determine the effect of case-mix on improvement of PROMs after primary THA.
METHODS: We included all primary THAs (n = 22,357) performed in the Netherlands between 2014 and 2018. The Hip disability and Osteoarthritis Outcome Score Physical function short form (HOOS-PS), Oxford Hip Score (OHS), EQ-5D index score and thermometer, and Numeric Rating Scales (NRS) measuring pain during activities and at rest, were recorded. The difference between preoperative and 3- and 12-month postoperative scores was calculated (delta-PROM) and used as primary outcome variable. Multivariable linear regression was used to examine the association between patient characteristics (age, sex, ASA score, body mass index (BMI), Charnley class, smoking, and previous operations to the affected hip) and PROMs. Cohens' d was used to measure effect size.
RESULTS: Postoperative improvement (delta-PROM) on HOOS-PS, OHS, EQ-5D, and pain relief were significantly higher in patients <60 years, in patients with female gender, a high ASA score (III-IV), a BMI >30 kg/m2, and patients without a previous operation to the hip. Cohen's d indicated clinically small differences (0.2).
CONCLUSIONS: Patients benefiting most in terms of postoperative improvement of self-reported physical functioning, pain relief and quality of life after primary THA were young, female, with a high ASA or BMI score, and without previous operations to the hip.

Entities:  

Keywords:  Case-mix; PROMs; hip replacement; patient characteristics; patient-reported outcome measures; total hip arthroplasty

Mesh:

Year:  2020        PMID: 32290706     DOI: 10.1177/1120700020913208

Source DB:  PubMed          Journal:  Hip Int        ISSN: 1120-7000            Impact factor:   2.135


  5 in total

1.  Impact of the COVID-19 lockdown on patient-reported outcome measures in Dutch hip and knee arthroplasty patients.

Authors:  Joshua M Bonsel; Lichelle Groot; Abigael Cohen; Jan A N Verhaar; Maaike G J Gademan; Anneke Spekenbrink-Spooren; Gouke J Bonsel; Max Reijman
Journal:  Acta Orthop       Date:  2022-10-14       Impact factor: 3.925

2.  What is the minimum response rate on patient-reported outcome measures needed to adequately evaluate total hip arthroplasties?

Authors:  Yvette Pronk; Walter van der Weegen; Rein Vos; Justus-Martijn Brinkman; Ronald Johannes van Heerwaarden; Peter Pilot
Journal:  Health Qual Life Outcomes       Date:  2020-12-02       Impact factor: 3.186

3.  Preoperative predictors of health-related quality of life changes (EQ-5D and EQ VAS) after total hip and knee replacement: a systematic review.

Authors:  Caroline Schatz; Nina Klein; Antonia Marx; Peter Buschner
Journal:  BMC Musculoskelet Disord       Date:  2022-01-17       Impact factor: 2.362

4.  Application of a novel osteotomy instrumentation as a substitute tool in total hip arthroplasty.

Authors:  Yuehao Hu; Jingwei Zhang; Ziyang Sun; Degang Yu; Huiwu Li; Zhenan Zhu; Yuanqing Mao; Mengning Yan; Zanjing Zhai
Journal:  BMC Musculoskelet Disord       Date:  2022-05-11       Impact factor: 2.562

5.  Patient reported outcomes measures (PROMs) trajectories after elective hip arthroplasty: a latent class and growth mixture analysis.

Authors:  Davide Golinelli; Alberto Grassi; Dario Tedesco; Francesco Sanmarchi; Simona Rosa; Paola Rucci; Marilina Amabile; Monica Cosentino; Barbara Bordini; Maria Pia Fantini; Stefano Zaffagnini
Journal:  J Patient Rep Outcomes       Date:  2022-09-09
  5 in total

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