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Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective

Fracture related infections (FRI) are debilitating and costly complications of musculoskeletal trauma surgery that can result in permanent functional loss or amputation. Surgical treatment can be unsuccessful, and it is necessary to determine the predictive variables associated with FRI treatment fa...

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Autores principales: Lu, Victor, Zhang, James, Patel, Ravi, Zhou, Andrew Kailin, Thahir, Azeem, Krkovic, Matija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141112/
https://www.ncbi.nlm.nih.gov/pubmed/35626444
http://dx.doi.org/10.3390/diagnostics12051289
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author Lu, Victor
Zhang, James
Patel, Ravi
Zhou, Andrew Kailin
Thahir, Azeem
Krkovic, Matija
author_facet Lu, Victor
Zhang, James
Patel, Ravi
Zhou, Andrew Kailin
Thahir, Azeem
Krkovic, Matija
author_sort Lu, Victor
collection PubMed
description Fracture related infections (FRI) are debilitating and costly complications of musculoskeletal trauma surgery that can result in permanent functional loss or amputation. Surgical treatment can be unsuccessful, and it is necessary to determine the predictive variables associated with FRI treatment failure, allowing one to optimise them prior to treatment and identify patients at higher risk. The clinical database at a major trauma centre was retrospectively reviewed between January 2015 and January 2021. FRI treatment failure was defined by infection recurrence or amputation. A univariable logistic regression analysis was performed, followed by a multivariable regression analysis for significant outcomes between groups on univariable analysis, to determine risk factors for treatment failure. In total, 102 patients were identified with a FRI (35 open, 67 closed fractures). FRI treatment failure occurred in 24 patients (23.5%). Risk factors determined by our multivariate logistic regression model were obesity (OR 2.522; 95% CI, 0.259–4.816; p = 0.006), Gustilo Anderson type 3c (OR 4.683; 95% CI, 2.037–9.784; p = 0.004), and implant retention (OR 2.818; 95% CI, 1.588–7.928; p = 0.041). Given that FRI treatment in 24 patients (23.5%) ended up in failure, future management need to take into account the predictive variables analysed in this study, redirect efforts to improve management and incorporate adjuvant technologies for patients at higher risk of failure, and implement a multidisciplinary team approach to optimise risk factors such as diabetes and obesity.
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spelling pubmed-91411122022-05-28 Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective Lu, Victor Zhang, James Patel, Ravi Zhou, Andrew Kailin Thahir, Azeem Krkovic, Matija Diagnostics (Basel) Article Fracture related infections (FRI) are debilitating and costly complications of musculoskeletal trauma surgery that can result in permanent functional loss or amputation. Surgical treatment can be unsuccessful, and it is necessary to determine the predictive variables associated with FRI treatment failure, allowing one to optimise them prior to treatment and identify patients at higher risk. The clinical database at a major trauma centre was retrospectively reviewed between January 2015 and January 2021. FRI treatment failure was defined by infection recurrence or amputation. A univariable logistic regression analysis was performed, followed by a multivariable regression analysis for significant outcomes between groups on univariable analysis, to determine risk factors for treatment failure. In total, 102 patients were identified with a FRI (35 open, 67 closed fractures). FRI treatment failure occurred in 24 patients (23.5%). Risk factors determined by our multivariate logistic regression model were obesity (OR 2.522; 95% CI, 0.259–4.816; p = 0.006), Gustilo Anderson type 3c (OR 4.683; 95% CI, 2.037–9.784; p = 0.004), and implant retention (OR 2.818; 95% CI, 1.588–7.928; p = 0.041). Given that FRI treatment in 24 patients (23.5%) ended up in failure, future management need to take into account the predictive variables analysed in this study, redirect efforts to improve management and incorporate adjuvant technologies for patients at higher risk of failure, and implement a multidisciplinary team approach to optimise risk factors such as diabetes and obesity. MDPI 2022-05-22 /pmc/articles/PMC9141112/ /pubmed/35626444 http://dx.doi.org/10.3390/diagnostics12051289 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lu, Victor
Zhang, James
Patel, Ravi
Zhou, Andrew Kailin
Thahir, Azeem
Krkovic, Matija
Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective
title Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective
title_full Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective
title_fullStr Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective
title_full_unstemmed Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective
title_short Fracture Related Infections and Their Risk Factors for Treatment Failure—A Major Trauma Centre Perspective
title_sort fracture related infections and their risk factors for treatment failure—a major trauma centre perspective
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141112/
https://www.ncbi.nlm.nih.gov/pubmed/35626444
http://dx.doi.org/10.3390/diagnostics12051289
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