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Periprosthetic joint infections after total hip replacement: an algorithmic approach
An algorithm for managing periprosthetic joint infections (PJIs) after total hip replacement (THR) surgery using a multidisciplinary approach and a clearly defined protocol may improve infection eradication rates. In this article, we present an algorithm for the management of different types of PJIs...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
EDP Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394232/ https://www.ncbi.nlm.nih.gov/pubmed/30816089 http://dx.doi.org/10.1051/sicotj/2019004 |
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author | Sukeik, Mohamed Haddad, Fares Sami |
author_facet | Sukeik, Mohamed Haddad, Fares Sami |
author_sort | Sukeik, Mohamed |
collection | PubMed |
description | An algorithm for managing periprosthetic joint infections (PJIs) after total hip replacement (THR) surgery using a multidisciplinary approach and a clearly defined protocol may improve infection eradication rates. In this article, we present an algorithm for the management of different types of PJIs including the acutely infected cemented and cementless THRs where the components are well-fixed postoperatively and when the infection is secondary to haematogenous spread in previously well-functioning and well-fixed implants. For chronic PJIs where the components are often loose, the standard treatment includes a two-stage revision procedure. However, in a highly selected subset of patients, a single-stage approach has been utilised with high rates of eradicating infections. |
format | Online Article Text |
id | pubmed-6394232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | EDP Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-63942322019-02-28 Periprosthetic joint infections after total hip replacement: an algorithmic approach Sukeik, Mohamed Haddad, Fares Sami SICOT J Review Article An algorithm for managing periprosthetic joint infections (PJIs) after total hip replacement (THR) surgery using a multidisciplinary approach and a clearly defined protocol may improve infection eradication rates. In this article, we present an algorithm for the management of different types of PJIs including the acutely infected cemented and cementless THRs where the components are well-fixed postoperatively and when the infection is secondary to haematogenous spread in previously well-functioning and well-fixed implants. For chronic PJIs where the components are often loose, the standard treatment includes a two-stage revision procedure. However, in a highly selected subset of patients, a single-stage approach has been utilised with high rates of eradicating infections. EDP Sciences 2019-02-28 /pmc/articles/PMC6394232/ /pubmed/30816089 http://dx.doi.org/10.1051/sicotj/2019004 Text en © The Authors, published by EDP Sciences, 2019 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Sukeik, Mohamed Haddad, Fares Sami Periprosthetic joint infections after total hip replacement: an algorithmic approach |
title | Periprosthetic joint infections after total hip replacement: an algorithmic approach |
title_full | Periprosthetic joint infections after total hip replacement: an algorithmic approach |
title_fullStr | Periprosthetic joint infections after total hip replacement: an algorithmic approach |
title_full_unstemmed | Periprosthetic joint infections after total hip replacement: an algorithmic approach |
title_short | Periprosthetic joint infections after total hip replacement: an algorithmic approach |
title_sort | periprosthetic joint infections after total hip replacement: an algorithmic approach |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394232/ https://www.ncbi.nlm.nih.gov/pubmed/30816089 http://dx.doi.org/10.1051/sicotj/2019004 |
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