Literature DB >> 32843254

Development of a Preoperative Risk Calculator for Reinfection Following Revision Surgery for Periprosthetic Joint Infection.

Christian Klemt1, Venkatsaiakhil Tirumala1, Evan J Smith1, Anand Padmanabha1, Young-Min Kwon1.   

Abstract

BACKGROUND: A recent systematic review demonstrated that reinfection rates following eradication of hip and knee periprosthetic joint infection (PJI) may be as high as 29%. This study aimed to develop a preoperative risk calculator for assessing patient's individual risk associated with reinfection following treatment of PJI in total joint arthroplasty (TJA).
METHODS: A total of 1081 consecutive patients who underwent revision TJA for PJI were evaluated. In total, 293 patients were diagnosed with TJA reinfection. A total of 56 risk factors, including patient characteristics and surgical variables, were evaluated with multivariate regression analysis. Analysis of the area under the receiver operating characteristics curve was performed to evaluate the strength of the predictive model.
RESULTS: Of the 56 risk factors studied, 19 were found to have a significant effect as risk factor for TJA reinfection. The strongest predictors for TJA reinfection included previous PJI treatment techniques such as irrigation and debridement, the number of previous surgical interventions, medical comorbidities such as obesity, drug abuse, depression and smoking, as well as microbiology including the presence of Enterococcus species. The combined area under the receiver operating characteristics curve of the risk calculator for periprosthetic hip and knee joint reinfection was 0.75.
CONCLUSIONS: The study findings demonstrate that surgical factors, including previous PJI surgical treatment techniques as well as the number of previous surgeries, alongside microbiology including the presence of Enterococcus species have the strongest effect on the risk for periprosthetic THA and TKA joint reinfection, suggesting the limited applicability of the existing risk calculators for the development of PJI following primary TJA in predicting the risk of periprosthetic joint reinfection.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  patient outcomes; periprosthetic joint reinfection; revision surgery; risk calculator; total joint arthroplasty

Year:  2020        PMID: 32843254     DOI: 10.1016/j.arth.2020.08.004

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


  5 in total

1.  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

2.  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

3.  Plasma levels of D-dimer and fibrin degradation product are unreliable for diagnosing periprosthetic joint infection in patients undergoing re-revision arthroplasty.

Authors:  Hong Xu; Jinwei Xie; Duan Wang; Qiang Huang; Zeyu Huang; Zongke Zhou
Journal:  J Orthop Surg Res       Date:  2021-10-19       Impact factor: 2.359

Review 4.  Methodological Challenges in Predicting Periprosthetic Joint Infection Treatment Outcomes: A Narrative Review.

Authors:  Elise Naufal; Marjan Wouthuyzen-Bakker; Sina Babazadeh; Jarrad Stevens; Peter F M Choong; Michelle M Dowsey
Journal:  Front Rehabil Sci       Date:  2022-07-11

5.  Factors predicting hip joint aspiration yield or "dry taps" in patients with total hip arthroplasty.

Authors:  Justin Ong; Alex Tang; Joshua C Rozell; James S Babb; Ran Schwarzkopf; Dana Lin
Journal:  J Orthop Surg Res       Date:  2022-01-22       Impact factor: 2.359

  5 in total

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