Literature DB >> 33933330

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

Colin J Carr1, Simon C Mears1, C Lowry Barnes1, Jeffrey B Stambough1.   

Abstract

BACKGROUND: Predicting the length of stay (LOS) after total joint arthroplasty (TJA) has become more important with their recent removal from inpatient-only designation. The American College of Surgeons (ACS) National Surgical Quality Improvement Program surgical risk calculator and the CMS' diagnosis-related group (DRG) calculator are two common LOS predictors. The aim of our study was to determine how our actual LOS compared with those predicted by both the ACS and DRG.
METHODS: 99 consecutive TJA (49 hips and 50 knee procedures) were reviewed in Medicare-eligible patients from four fellowship-trained arthroplasty surgeons. Predicted LOS was calculated using the DRG and ACS risk calculators for each patient using demographics, medical histories, and comorbidities. LOS was compared between the predicted and the actual LOS for both total hip arthroplasty (THA) and total knee arthroplasty (TKA) using paired t-tests.
RESULTS: Actual LOS was shorter in the THA group vs the TKA group (1.29 days vs 1.46 days, P < .05). The actual LOS of patients at our institution was significantly shorter than both DRG and ACS predictions for both THA and TKA (P < .05). In both the THA and TKA patients, the actual LOS (1.29 and 1.46 day) was significantly shorter than the DRG-predicted LOS (2.15 and 2.15 days) which was significantly shorter than the ACS-predicted LOS (2.9 and 3.14 days).
CONCLUSION: We found the actual LOS was significantly shorter than that predicted by both the DRG and ACS risk calculators. Current risk calculators may not be accurate for contemporary fast-track protocols and newer tools should be developed.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DRG; calculators; length of stay; prediction tools; total joint arthroplasty

Mesh:

Year:  2021        PMID: 33933330      PMCID: PMC8380646          DOI: 10.1016/j.arth.2021.04.010

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.435


  21 in total

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2.  Outpatient Joint Arthroplasty-Patient Selection: Update on the Outpatient Arthroplasty Risk Assessment Score.

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Journal:  J Arthroplasty       Date:  2019-01-15       Impact factor: 4.757

3.  Rapid recovery protocols for primary total hip arthroplasty can safely reduce length of stay without increasing readmissions.

Authors:  Jeffrey B Stambough; Ryan M Nunley; Madelyn C Curry; Karen Steger-May; John C Clohisy
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4.  The Removal of Total Hip and Total Knee Arthroplasty From the Inpatient-Only List Increases the Administrative Burden of Surgeons and Continues to Cause Confusion.

Authors:  Chad A Krueger; Joshua M Kerr; Michael P Bolognesi; P Maxwell Courtney; James I Huddleston
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5.  Predictive Power of the NSQIP Risk Calculator for Early Post-Operative Outcomes After Whipple: Experience from a Regional Center in Northern Ontario.

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6.  Whipple-specific complications result in prolonged length of stay not accounted for in ACS-NSQIP Surgical Risk Calculator.

Authors:  Brian M Cusworth; Bradley A Krasnick; Timothy M Nywening; Cheryl A Woolsey; Ryan C Fields; Maria M Doyle; Jingxia Liu; William G Hawkins
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7.  Preoperative predictors of extended hospital length of stay following total knee arthroplasty.

Authors:  Mohamad J Halawi; Tyler J Vovos; Cindy L Green; Samuel S Wellman; David E Attarian; Michael P Bolognesi
Journal:  J Arthroplasty       Date:  2014-10-25       Impact factor: 4.757

8.  Trends in Length of Stay and 30-Day Complications After Total Knee Arthroplasty: An Analysis From 2006 to 2016.

Authors:  Nana O Sarpong; Venkat Boddapati; Carl L Herndon; Roshan P Shah; H John Cooper; Jeffrey A Geller
Journal:  J Arthroplasty       Date:  2019-04-16       Impact factor: 4.757

9.  The independent patient factors that affect length of stay following hip fractures.

Authors:  T Richards; A Glendenning; D Benson; S Alexander; S Thati
Journal:  Ann R Coll Surg Engl       Date:  2018-04-25       Impact factor: 1.891

10.  The Effect of the COVID-19 Pandemic on Electively Scheduled Hip and Knee Arthroplasty Patients in the United States.

Authors:  Timothy S Brown; Nicholas A Bedard; Edward O Rojas; Christopher A Anthony; Ran Schwarzkopf; C Lowry Barnes; Jeffrey B Stambough; Simon C Mears; Paul K Edwards; Sumon Nandi; Hernan A Prieto; Javad Parvizi
Journal:  J Arthroplasty       Date:  2020-04-22       Impact factor: 4.757

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  2 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.  Machine Learning Model Developed to Aid in Patient Selection for Outpatient Total Joint Arthroplasty.

Authors:  Cesar D Lopez; Jessica Ding; David P Trofa; H John Cooper; Jeffrey A Geller; Thomas R Hickernell
Journal:  Arthroplast Today       Date:  2021-12-08
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