Literature DB >> 31000402

Operative Times Can Predict and Are Correlated With Lengths-of-Stay in Primary Total Knee Arthroplasty: A Nationwide Database Study.

Nipun Sodhi1, Hiba K Anis2, Peter A Gold3, Luke J Garbarino3, Giles R Scuderi1, Fred D Cushner1, Carlos A Higuera4, Michael A Mont1.   

Abstract

BACKGROUND: The specific influence of operative times on lengths-of-stay (LOS) has not been well assessed and is therefore an important topic of evaluation for multiple reasons, including potential economic implication. The purpose of this study is to (1) identify predictors of longer operative times; (2) identify predictors of longer LOS; and (3) evaluate the effects of operative times on LOS in primary total knee arthroplasty (TKA).
METHODS: The National Surgical Quality Improvement Program database was queried for primary TKAs performed between 2008 and 2016, yielding 225,344 cases. Multivariate analysis was performed to determine the effect of operative times on LOS after adjusting for patient factors. Univariate analyses were performed with 1-way analysis of variance (ANOVA), linear regression, and independent sample t-tests where appropriate. Multivariate analysis was performed with a multiple linear regression model adjusted for patient age, sex, and body mass index (BMI).
RESULTS: The mean operative time was 93 ± 35 minutes and the mean LOS was 3 ± 3 days. Young age, male sex, and obesity were predictors of longer operative times (P < .001). Similarly, there were significant associations of age, sex, and BMI with LOS (P < .001). Increasing 30-minute operative time intervals were associated with increasing LOS (P < .001). Longer operative times had significant associations with longer LOS even after adjusting for patient factors (β = 0.076, SE < 0.001, P value < .001). Out of all study covariates, operative times had the greatest effect on LOS.
CONCLUSION: This study provides unique insight by directly correlating operative times to LOS in over 200,000 TKAs. The results from this study indicate that there is a strong correlation between operative times and LOS, so that operative time had a greater association than age, sex, and BMI with postoperative TKA LOS.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  lengths-of-stay; operative time; patient outcomes; predictive models; total knee arthroplasty

Mesh:

Year:  2019        PMID: 31000402     DOI: 10.1016/j.arth.2019.03.024

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


  5 in total

1.  Intraoperative technology increases operating room times in primary total knee arthroplasty.

Authors:  Stephen G Zak; David Cieremans; Alex Tang; Ran Schwarzkopf; Joshua C Rozell
Journal:  Arch Orthop Trauma Surg       Date:  2022-05-12       Impact factor: 3.067

2.  Predicting surgical operative time in primary total knee arthroplasty utilizing machine learning models.

Authors:  Ingwon Yeo; Christian Klemt; Christopher M Melnic; Meghan H Pattavina; Bruna M Castro De Oliveira; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-08-22       Impact factor: 2.928

3.  Factors associated with the length of stay in total knee arthroplasty patients with the enhanced recovery after surgery model.

Authors:  Guoqing Li; Jian Weng; Chang Xu; Deli Wang; Ao Xiong; Hui Zeng
Journal:  J Orthop Surg Res       Date:  2019-11-06       Impact factor: 2.359

4.  Simultaneous versus staged bilateral total hip arthroplasty: a systematic review and meta-analysis.

Authors:  Akam Ramezani; Amirhossein Ghaseminejad Raeini; Amirmohammad Sharafi; Mehrdad Sheikhvatan; Seyed Mohammad Javad Mortazavi; Seyyed Hossein Shafiei
Journal:  J Orthop Surg Res       Date:  2022-08-13       Impact factor: 2.677

5.  Development and validation of a nomogram to predict complications in patients undergoing simultaneous bilateral total knee arthroplasty: A retrospective study from two centers.

Authors:  Kuishuai Xu; Liang Zhang; Zhongkai Ren; Tianrui Wang; Yingze Zhang; Xia Zhao; Tengbo Yu
Journal:  Front Surg       Date:  2022-09-14
  5 in total

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