Literature DB >> 33190994

Minority Race and Ethnicity is Associated With Higher Complication Rates After Revision Surgery for Failed Total Hip and Knee Joint Arthroplasty.

Christian Klemt1, Paul Walker1, Anand Padmanabha1, Venkatsaiakhil Tirumala1, Liang Xiong1, Young-Min Kwon1.   

Abstract

BACKGROUND: Racial and ethnic disparities in access to hip and knee total joint arthroplasty (TJA) and postoperative outcomes have wide-reaching implications for patients and the health care system. The aim of this study is to evaluate the effect of ethnicity on clinical outcomes and complications following revision hip and knee TJA.
METHODS: A single-institution, retrospective analysis of a consecutive series of 4424 revision hip and knee TJA patients was evaluated. Student's t-test and chi-squared analysis were used to identify significant differences in patient demographics and clinical outcomes between Caucasians and various ethnic minorities, including African Americans, Hispanics, and Asians.
RESULTS: When compared with white patients, African American patients demonstrated a significantly higher BMI (P = .04), ASA score (P = .04), length of hospital stay (P = .06), and postoperative infection rates (P = .04). Hispanics demonstrated a significantly higher BMI (P = .04), when compared with white patients, alongside a significantly higher risk for postoperative infection (P < .01). African American demonstrated a significantly higher ASA score (P = .02; P = .03), when compared with Hispanics and Asians, alongside a significantly increased length of stay (P = .01) and higher risk for postoperative infection (P = .02).
CONCLUSION: The study findings demonstrate an underutilization of revision TJA by ethnic minority groups, suggesting that disparities in access to orthopedic surgery increase from primary to revision surgery despite higher failure rates of minority ethnic groups reported after primary TJA surgery. In addition, inferior postoperative outcomes were associated with African Americans and Hispanics, when compared to white patients, with African Americans demonstrating the highest risk of postoperative complications.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  clinical outcomes; complications; ethnic disparity; minority race; revision total joint arthroplasty; underutilization

Mesh:

Year:  2020        PMID: 33190994     DOI: 10.1016/j.arth.2020.10.043

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


  9 in total

1.  Periprosthetic joint infection is the main reason for failure in patients following periprosthetic fracture treated with revision arthroplasty.

Authors:  Janna van den Kieboom; Venkatsaiakhil Tirumala; Liang Xiong; Christian Klemt; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2021-05-15       Impact factor: 3.067

2.  Can machine learning models predict failure of revision total hip arthroplasty?

Authors:  Christian Klemt; Wayne Brian Cohen-Levy; Matthew Gerald Robinson; Jillian C Burns; Kyle Alpaugh; Ingwon Yeo; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-05-04       Impact factor: 3.067

3.  The utility of machine learning algorithms for the prediction of patient-reported outcome measures following primary hip and knee total joint arthroplasty.

Authors:  Christian Klemt; Akachimere Cosmas Uzosike; John G Esposito; Michael Joseph Harvey; Ingwon Yeo; Murad Subih; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-06-29       Impact factor: 3.067

4.  Complete blood platelet and lymphocyte ratios increase diagnostic accuracy of periprosthetic joint infection following total hip arthroplasty.

Authors:  Christian Klemt; Venkatsaiakhil Tirumala; Evan J Smith; Liang Xiong; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-01-31       Impact factor: 3.067

5.  The utilization of artificial neural networks for the prediction of 90-day unplanned readmissions following total knee arthroplasty.

Authors:  Christian Klemt; Venkatsaiakhil Tirumala; Yasamin Habibi; Anirudh Buddhiraju; Tony Lin-Wei Chen; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-08-07       Impact factor: 2.928

6.  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

7.  Outcome and risk factors of failures associated with revision total hip arthroplasty for recurrent dislocation.

Authors:  Christian Klemt; Wenhao Chen; Georges Bounajem; Venkatsaiakhil Tirumala; Liang Xiong; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2021-02-18       Impact factor: 2.928

Review 8.  Time to Reflect and Take Action on Health Disparities and Health Inequities.

Authors:  Susan Salmond; Caroline Dorsen
Journal:  Orthop Nurs       Date:  2022 Mar-Apr 01       Impact factor: 0.913

9.  Lower Rates of Ceramic Femoral Head Use in Non-White Patients in the United States, a National Registry Study.

Authors:  Alexander M Upfill-Brown; Noah D Paisner; Patrick C Donnelly; Ayushmita De; Adam A Sassoon
Journal:  J Arthroplasty       Date:  2022-03-17       Impact factor: 4.435

  9 in total

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