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Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing
This study assessed the application of metagenomic next-generation sequencing in pathogen detection of periprosthetic joint infections. A total of 95 cases who previously had undergone hip and knee replacement undergoing revision from January 2018 to January 2021 were included in this study. Specime...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188433/ https://www.ncbi.nlm.nih.gov/pubmed/37193765 http://dx.doi.org/10.1038/s41598-023-35215-3 |
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author | Hao, Linjie Wen, Pengfei Song, Wei Zhang, Binfei Wu, Yanjie Zhang, Yumin Ma, Tao Qiu, Yusheng |
author_facet | Hao, Linjie Wen, Pengfei Song, Wei Zhang, Binfei Wu, Yanjie Zhang, Yumin Ma, Tao Qiu, Yusheng |
author_sort | Hao, Linjie |
collection | PubMed |
description | This study assessed the application of metagenomic next-generation sequencing in pathogen detection of periprosthetic joint infections. A total of 95 cases who previously had undergone hip and knee replacement undergoing revision from January 2018 to January 2021 were included in this study. Specimens of synovial fluid and deep-tissue were collected for culture and metagenomic next-generation sequencing, and patients were retrospectively categorized as infected or aseptic using the Musculoskeletal Infection Society criteria after revision surgery. The sensitivity, specificity, positive and negative predictive values were compared. A total of 36 cases had positive culture results and 59 cases had positive metagenomic next-generation sequencing results. Culture was positive in 34 infected cases (58.6%) and 2 aseptic cases (5.4%). Metagenomic next-generation sequencing was positive in 55 infected cases (94.8%) and 4 aseptic cases (10.8%). Five cases diagnosed with infection had other potential pathogens detected by metagenomic next-generation sequencing. Among the 24 culture-negative periprosthetic joint infections, metagenomic next-generation sequencing was able to identify potential pathogens in 21 cases (87.5%). From sampling to reporting, the average time needed for culture was 5.2 (95% CI 3.1–7.3) days, while that for metagenomic next-generation sequencing was 1.3 (95% CI 0.9–1.7) days. Metagenomic next-generation sequencing is more advantageous in pathogen detection of periprosthetic joint infection after total joint replacement, especially in patients with multiple infections or negative culture results. |
format | Online Article Text |
id | pubmed-10188433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101884332023-05-18 Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing Hao, Linjie Wen, Pengfei Song, Wei Zhang, Binfei Wu, Yanjie Zhang, Yumin Ma, Tao Qiu, Yusheng Sci Rep Article This study assessed the application of metagenomic next-generation sequencing in pathogen detection of periprosthetic joint infections. A total of 95 cases who previously had undergone hip and knee replacement undergoing revision from January 2018 to January 2021 were included in this study. Specimens of synovial fluid and deep-tissue were collected for culture and metagenomic next-generation sequencing, and patients were retrospectively categorized as infected or aseptic using the Musculoskeletal Infection Society criteria after revision surgery. The sensitivity, specificity, positive and negative predictive values were compared. A total of 36 cases had positive culture results and 59 cases had positive metagenomic next-generation sequencing results. Culture was positive in 34 infected cases (58.6%) and 2 aseptic cases (5.4%). Metagenomic next-generation sequencing was positive in 55 infected cases (94.8%) and 4 aseptic cases (10.8%). Five cases diagnosed with infection had other potential pathogens detected by metagenomic next-generation sequencing. Among the 24 culture-negative periprosthetic joint infections, metagenomic next-generation sequencing was able to identify potential pathogens in 21 cases (87.5%). From sampling to reporting, the average time needed for culture was 5.2 (95% CI 3.1–7.3) days, while that for metagenomic next-generation sequencing was 1.3 (95% CI 0.9–1.7) days. Metagenomic next-generation sequencing is more advantageous in pathogen detection of periprosthetic joint infection after total joint replacement, especially in patients with multiple infections or negative culture results. Nature Publishing Group UK 2023-05-16 /pmc/articles/PMC10188433/ /pubmed/37193765 http://dx.doi.org/10.1038/s41598-023-35215-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hao, Linjie Wen, Pengfei Song, Wei Zhang, Binfei Wu, Yanjie Zhang, Yumin Ma, Tao Qiu, Yusheng Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
title | Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
title_full | Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
title_fullStr | Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
title_full_unstemmed | Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
title_short | Direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
title_sort | direct detection and identification of periprosthetic joint infection pathogens by metagenomic next-generation sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188433/ https://www.ncbi.nlm.nih.gov/pubmed/37193765 http://dx.doi.org/10.1038/s41598-023-35215-3 |
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