Literature DB >> 31182407

Preoperative Patient Factors Affecting Length of Stay following Total Knee Arthroplasty: A Systematic Review and Meta-Analysis.

Ajay Shah1, Muzammil Memon2, Jeffrey Kay2, Thomas J Wood2, Daniel M Tushinski2, Vickas Khanna2.   

Abstract

BACKGROUND: Total knee arthroplasty (TKA) yields substantial improvements in quality of life for patients with severe osteoarthritis. Previous research has shown that TKA outcomes are inferior in patients with certain demographic and clinical factors. Length of stay (LOS) following TKA is a major component of costs incurred by healthcare providers. It is hypothesized that patient-related factors may influence LOS following TKA. The purpose of this systematic review and meta-analysis is to investigate these factors.
METHODS: Three databases (PubMed, Embase, and OVID Medline) were searched using variants of the terms "total knee arthroplasty" and "length of stay". Studies were screened and data abstracted in duplicate. The primary outcome was the effect of prognostic variables on LOS following TKA. Meta-analysis was performed using the Review Manager (RevMan) software (version 5.3. Copenhagen: The Nordic Cochrane Center, The Cochrane Collaboration, 2014).
RESULTS: A total of 68 studies met all inclusion criteria for this review. These studies comprised 21,494,459 patients undergoing TKA with mean age 66.82 years (range, 15-95 years) and 63.8% (12,165,160 of 19,060,572 reported) females. The mean MINORS score was 7, suggesting that studies had a low quality of evidence. Mean LOS following TKA has steadily decreased over the past 4 decades, partially because of the implementation of fast-track programs. Demographic factors associated with increased LOS were age >70 years (mean difference [MD] = 0.81; 95% confidence interval [CI] = 0.38-1.24), female gender (MD = 0.32; 95% CI = 0.29-0.48), body mass index >30 (MD = 0.09; 95% CI = 0.01-0.16), and non-White race (MD = 0.20; 95% CI = 0.10-0.29). Clinical factors associated with increased LOS were American Society of Anesthesiologists score 3-4 vs 1-2 (MD = 1.12; 95% CI = 0.58 to 1.66), Charlson Comorbidity Index > 0 vs 0 (MD = 0.77; 95% CI = 0.32 to 1.22), and preoperative hemoglobin < 130 g/L (MD = 0.66; 95% CI = 0.34 to 0.98).
CONCLUSION: This systematic review and meta-analysis showed that increased age, female gender, body mass index ≥ 30, non-White race, American Society of Anesthesiologists > 2, Charlson Comorbidity Index > 0, and preoperative hemoglobin < 130 g/L were predictors of increased LOS. Mean LOS has steadily decreased over the past decades with the implementation of perioperative "fast-track" programs. Future research should investigate the benefits of preoperative risk factor modification on LOS, in addition to novel surgical approaches, anesthetic adjuvants, and physiotherapy modifications. LEVEL OF EVIDENCE: IV, systematic review, and meta-analysis of level III and IV evidence.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  length of stay; meta-analysis; patient factors; postoperative outcomes; systematic review; total knee arthroplasty

Mesh:

Year:  2019        PMID: 31182407     DOI: 10.1016/j.arth.2019.04.048

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  11 in total

1.  Predictive capacity of four machine learning models for in-hospital postoperative outcomes following total knee arthroplasty.

Authors:  Abdul K Zalikha; Mouhanad M El-Othmani; Roshan P Shah
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2.  Robotic-assisted TKA reduces surgery duration, length of stay and 90-day complication rate of complex TKA to the level of noncomplex TKA.

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3.  Does resilience predict hospital length of stay after total knee arthroplasty? A prospective observational cohort study.

Authors:  Marie K March; Alison R Harmer; Bijoy Thomas; Amy Maitland; Deborah Black; Sarah Dennis
Journal:  Arthroplasty       Date:  2022-07-07

4.  Factors Associated With Increasing Length of Stay for Rheumatoid Arthritis Patients Undergoing Total Hip Arthroplasty and Total Knee Arthroplasty.

Authors:  Kyle W Morse; Nicole K Heinz; Jeremy M Abolade; Joshua Wright-Chisem; Linda Alice Russell; Meng Zhang; Serene Mirza; Diyu Pearce-Fisher; Dana E Orange; Mark P Figgie; Peter K Sculco; Susan M Goodman
Journal:  HSS J       Date:  2022-02-22

5.  Influence of body mass index and age on day-of-surgery discharge, prolonged admission, and 90-day readmission after fast-track unicompartmental knee arthroplasty.

Authors:  Christian Bredgaard Jensen; Anders Troelsen; Pelle Baggesgaard Petersen; Christoffer Calov JØrgensen; Henrik Kehlet; Kirill Gromov
Journal:  Acta Orthop       Date:  2021-08-20       Impact factor: 3.717

6.  Machine learning classifiers do not improve prediction of hospitalization > 2 days after fast-track hip and knee arthroplasty compared with a classical statistical risk model.

Authors:  Katrin B Johannesdottir; Henrik Kehlet; Pelle B Petersen; Eske K Aasvang; Helge B D Sørensen; Christoffer C Jørgensen
Journal:  Acta Orthop       Date:  2022-01-03       Impact factor: 3.717

7.  Big Data-Enabled Analysis of Factors Affecting Patient Waiting Time in the Nephrology Department of a Large Tertiary Hospital.

Authors:  Jialing Li; Guiju Zhu; Li Luo; Wenwu Shen
Journal:  J Healthc Eng       Date:  2021-05-27       Impact factor: 2.682

8.  The Impact of Room-Sharing on Length of Stay After Total Hip or Knee Arthroplasty: A Retrospective Study.

Authors:  Yui Yee Felice Tong; Sascha Karunaratne; Daniel Youlden; Sanjeev Gupta
Journal:  Arthroplast Today       Date:  2021-04-22

9.  Intrinsic patient factors predictive of inpatient rehabilitation facility discharge following primary total knee arthroplasty: a systematic review and meta-analysis.

Authors:  Larissa Sattler; Wayne Hing; Evelyne Rathbone; Christopher Vertullo
Journal:  BMC Musculoskelet Disord       Date:  2020-07-22       Impact factor: 2.362

10.  Nosocomial infection with SARS-CoV-2 and main outcomes after surgery within an orthopaedic surgery department in a tertiary trauma centre in Spain.

Authors:  Kushal Lakhani; Joan Minguell; Ernesto Guerra-Farfán; Yuri Lara; Unai Jambrina; Joan Pijoan; Jorge H Núñez
Journal:  Int Orthop       Date:  2020-09-11       Impact factor: 3.075

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