Timothy M Brock1, Paul N Baker2, Steven Rushton3, Michelle Bardgett4, David Deehan4. 1. Newcastle Hospitals NHS Trust, Freeman Road, Newcastle upon Tyne, NE7 7DN, UK. t.m.brock@doctors.org.uk. 2. South Tees Hospitals, James Cook Hospital, Marton Road, Middlesbrough, TS4 3BW, UK. 3. Department of Biology, Newcastle University, Devonshire Building, Newcastle upon Tyne, Tyne and Wear, NE1 7RU, UK. 4. Newcastle Hospitals NHS Trust, Freeman Road, Newcastle upon Tyne, NE7 7DN, UK.
Abstract
PURPOSE: The aim was to investigate the interplay between patient characteristics and (1) length of hospital stay and (2) one-year patient-reported outcome following total knee and hip arthroplasty. METHODS: Event (survival) analysis and structural equation modelling were performed for 1001 patients undergoing knee (n = 566) and hip (n = 435) arthroplasty in a single institution. RESULTS: Age, body mass index and co-morbidities were independent predictors of length of stay in both event analysis and structural equation modelling. These patient characteristics and type of arthroplasty had both small direct and indirect effects on patient-reported outcome measures at one year. Length of stay had a small effect (<2 %) in SF-36 scores at one year. CONCLUSION: Predictors that influence length of stay also impact on one-year post-operative outcome and therefore should be taken into account during patient selection and discharge planning. LEVEL OF EVIDENCE: Retrospective cohort study, Level III.
PURPOSE: The aim was to investigate the interplay between patient characteristics and (1) length of hospital stay and (2) one-year patient-reported outcome following total knee and hip arthroplasty. METHODS: Event (survival) analysis and structural equation modelling were performed for 1001 patients undergoing knee (n = 566) and hip (n = 435) arthroplasty in a single institution. RESULTS: Age, body mass index and co-morbidities were independent predictors of length of stay in both event analysis and structural equation modelling. These patient characteristics and type of arthroplasty had both small direct and indirect effects on patient-reported outcome measures at one year. Length of stay had a small effect (<2 %) in SF-36 scores at one year. CONCLUSION: Predictors that influence length of stay also impact on one-year post-operative outcome and therefore should be taken into account during patient selection and discharge planning. LEVEL OF EVIDENCE: Retrospective cohort study, Level III.
Entities:
Keywords:
Arthroplasty; Enhanced recovery; Fast track; Length of stay
Authors: E L Jones; T W Wainwright; J D Foster; J R A Smith; R G Middleton; N K Francis Journal: Ann R Coll Surg Engl Date: 2014-03 Impact factor: 1.891
Authors: Nienke Paans; Martin Stevens; Robert Wagenmakers; Jan van Beveren; Klaas van der Meer; Sjoerd K Bulstra; Inge van den Akker-Scheek Journal: Phys Ther Date: 2012-01-06
Authors: Hilal Maradit Kremers; Sue L Visscher; Walter K Kremers; James M Naessens; David G Lewallen Journal: Clin Orthop Relat Res Date: 2013-10-08 Impact factor: 4.176