Literature DB >> 25466170

Preoperative predictors of extended hospital length of stay following total knee arthroplasty.

Mohamad J Halawi1, Tyler J Vovos2, Cindy L Green3, Samuel S Wellman1, David E Attarian1, Michael P Bolognesi1.   

Abstract

The purpose of this study was to identify the preoperative predictors of hospital length of stay after primary total knee arthroplasty in a patient population reflecting current trends toward shorter hospitalization and using readily obtainable factors that do not require scoring systems. A single-center, multi-surgeon retrospective chart review of two hundred and sixty consecutive patients who underwent primary total knee arthroplasty was performed. The mean length of stay was 3.0 days. Among the different variables studied, increasing comorbidities, lack of adequate assistance at home, and bilateral surgery were the only multivariable significant predictors of longer length of stay. The study was adequately powered for statistical analyses and the concordance index of the multivariable logistic regression model was 0.815.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  arthroplasty; assistance at home; comorbidities; knee; length of stay; preoperative predictors

Mesh:

Year:  2014        PMID: 25466170     DOI: 10.1016/j.arth.2014.10.025

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


  13 in total

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Authors:  Vishesh Khanna; A V Gurava Reddy; Deepesh Daultani; Sukesh Rao Sankineani; Jai Khanna; Adarsh Annapareddy; Krishna Kiran Eachampati
Journal:  Eur J Orthop Surg Traumatol       Date:  2019-07-04

2.  Does blood transfusion type affect complication and length of stay following same-day bilateral total knee arthroplasty?

Authors:  Vasileios G Soranoglou; Lazaros A Poultsides; Florian Wanivenhaus; Allina A Nocon; Georgios K Triantafyllopoulos; Peter K Sculco; Stavros G Memtsoudis; Thomas P Sculco
Journal:  J Orthop       Date:  2018-02-21

3.  Do Aggregate Socioeconomic Status Factors Predict Outcomes for Total Knee Arthroplasty in a Rural Population?

Authors:  Benjamin J Keeney; Karl M Koenig; Nicholas G Paddock; Wayne E Moschetti; Michael B Sparks; David S Jevsevar
Journal:  J Arthroplasty       Date:  2017-07-11       Impact factor: 4.757

4.  Impact of Cirrhosis on Resource Use and Inpatient Complications in Patients Undergoing Total Knee and Hip Arthroplasty.

Authors:  Jared M Newman; Nicholas K Schiltz; Christopher D Mudd; Caleb R Szubski; Alison K Klika; Wael K Barsoum
Journal:  J Arthroplasty       Date:  2016-04-27       Impact factor: 4.757

5.  Patient Factors Systematically Influence Hospital Length of Stay in Common Orthopaedic Procedures.

Authors:  J J Gholson; Nicolas O Noiseux; Jesse E Otero; Yubo Gao; Apurva S Shah
Journal:  Iowa Orthop J       Date:  2017

6.  Modifiable, Postoperative Risk Factors for Delayed Discharge Following Total Knee Arthroplasty: The Influence of Hypotension and Opioid Use.

Authors:  Albert T Anastasio; Kevin X Farley; Scott D Boden; Thomas L Bradbury; Ajay Premkumar; Michael B Gottschalk
Journal:  J Arthroplasty       Date:  2019-08-08       Impact factor: 4.757

7.  Length of Stay After Joint Arthroplasty is Less Than Predicted Using Two Risk Calculators.

Authors:  Colin J Carr; Simon C Mears; C Lowry Barnes; Jeffrey B Stambough
Journal:  J Arthroplasty       Date:  2021-04-21       Impact factor: 4.435

8.  Do shorter lengths of stay increase readmissions after total joint replacements?

Authors:  Udai S Sibia; Kip A Waite; Maura A Callanan; Adrian E Park; Paul J King; James H MacDonald
Journal:  Arthroplast Today       Date:  2016-06-21

9.  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

Review 10.  The effect of expectation on satisfaction in total knee replacements: a systematic review.

Authors:  Timothy Barlow; Tamsyn Clark; Mark Dunbar; Andrew Metcalfe; Damian Griffin
Journal:  Springerplus       Date:  2016-02-24
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