Cargando…

Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty

To investigate the application value of next‐generation sequencing (NGS) technology in the detection of pathogenic bacteria in the periprosthetic joint infection after arthroplasty. Twenty‐two cases of patients with joint infection after arthroplasty in our hospital from March 2020 to March 2021 wer...

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Yu, Jiang, Kai, Zhang, Lixin, Yang, Fang, Huang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333033/
https://www.ncbi.nlm.nih.gov/pubmed/36647902
http://dx.doi.org/10.1111/iwj.14087
_version_ 1785070566828408832
author Chang, Yu
Jiang, Kai
Zhang, Lixin
Yang, Fang
Huang, Jing
author_facet Chang, Yu
Jiang, Kai
Zhang, Lixin
Yang, Fang
Huang, Jing
author_sort Chang, Yu
collection PubMed
description To investigate the application value of next‐generation sequencing (NGS) technology in the detection of pathogenic bacteria in the periprosthetic joint infection after arthroplasty. Twenty‐two cases of patients with joint infection after arthroplasty in our hospital from March 2020 to March 2021 were selected, with 11 cases of knee and 11 cases of hip, including 8 cases of male and 14 cases of female, and an average age of 63.55 ± 13.11 years old (range from 28 to 85). Microbiological culture results of synovial fluid and periprosthetic joint tissue and NGS results of periprosthetic joint tissue were collected. The detection rate of NGS and microbiological culture were calculated and statistically analysed by paired χ (2) test. Among the 22 patients with joint infection after arthroplasty, the positive rate of NGS was 90.91% (20/22), whereas the positive rate of bacterial culture was 50.00% (11/22). Paired chi‐square test showed a statistically significant difference in the detection rate between the two groups (P = .0029). In the detection of pathogenic microorganism, NGS detected 12 kinds of bacteria, Staphylococcus aureus in 3 patients, Staphylococcus epidermidis in 5 cases, Streptococcus 1 case, Streptococcus dysgalactiae 1 case, Xanthomonas campestris 3 cases, Escherichia coli 2 cases, Bacillus cereus 2 cases, Klebsiella pneumoniae 1 case, Finegoldia magna 1 case, Corynebacterium klopensteriella in 1 case, Brucella 1 case, and Aspergillus flavus 1 case. Bacterial culture detected 6 kinds of bacteria, included 5 cases of Staphylococcus epidermis (including 3 cases of Methicillin‐resistant coagulase‐negative Staphylococcus, (MRSCoN)), 2 cases of Staphylococcus aureus (both Methicillin‐resistant Staphylococcus aureus, (MRSA)), 1 case of Klebsiella pneumoniae, 1 case of Staphylococcus hominis (MRSCoN), 1 case of G(+) bacillus, and 1 case of Brucella. Compared with bacterial culture, NGS technology has some advantages in the detection efficiency, detection rate, and comprehensiveness, which might be greater diagnostic value in the joint fluid of infection after arthroplasty.
format Online
Article
Text
id pubmed-10333033
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Blackwell Publishing Ltd
record_format MEDLINE/PubMed
spelling pubmed-103330332023-07-12 Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty Chang, Yu Jiang, Kai Zhang, Lixin Yang, Fang Huang, Jing Int Wound J Original Articles To investigate the application value of next‐generation sequencing (NGS) technology in the detection of pathogenic bacteria in the periprosthetic joint infection after arthroplasty. Twenty‐two cases of patients with joint infection after arthroplasty in our hospital from March 2020 to March 2021 were selected, with 11 cases of knee and 11 cases of hip, including 8 cases of male and 14 cases of female, and an average age of 63.55 ± 13.11 years old (range from 28 to 85). Microbiological culture results of synovial fluid and periprosthetic joint tissue and NGS results of periprosthetic joint tissue were collected. The detection rate of NGS and microbiological culture were calculated and statistically analysed by paired χ (2) test. Among the 22 patients with joint infection after arthroplasty, the positive rate of NGS was 90.91% (20/22), whereas the positive rate of bacterial culture was 50.00% (11/22). Paired chi‐square test showed a statistically significant difference in the detection rate between the two groups (P = .0029). In the detection of pathogenic microorganism, NGS detected 12 kinds of bacteria, Staphylococcus aureus in 3 patients, Staphylococcus epidermidis in 5 cases, Streptococcus 1 case, Streptococcus dysgalactiae 1 case, Xanthomonas campestris 3 cases, Escherichia coli 2 cases, Bacillus cereus 2 cases, Klebsiella pneumoniae 1 case, Finegoldia magna 1 case, Corynebacterium klopensteriella in 1 case, Brucella 1 case, and Aspergillus flavus 1 case. Bacterial culture detected 6 kinds of bacteria, included 5 cases of Staphylococcus epidermis (including 3 cases of Methicillin‐resistant coagulase‐negative Staphylococcus, (MRSCoN)), 2 cases of Staphylococcus aureus (both Methicillin‐resistant Staphylococcus aureus, (MRSA)), 1 case of Klebsiella pneumoniae, 1 case of Staphylococcus hominis (MRSCoN), 1 case of G(+) bacillus, and 1 case of Brucella. Compared with bacterial culture, NGS technology has some advantages in the detection efficiency, detection rate, and comprehensiveness, which might be greater diagnostic value in the joint fluid of infection after arthroplasty. Blackwell Publishing Ltd 2023-01-17 /pmc/articles/PMC10333033/ /pubmed/36647902 http://dx.doi.org/10.1111/iwj.14087 Text en © 2023 The Authors. International Wound Journal published by Medicalhelplines.com Inc (3M) and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Chang, Yu
Jiang, Kai
Zhang, Lixin
Yang, Fang
Huang, Jing
Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
title Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
title_full Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
title_fullStr Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
title_full_unstemmed Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
title_short Application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
title_sort application of next‐generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333033/
https://www.ncbi.nlm.nih.gov/pubmed/36647902
http://dx.doi.org/10.1111/iwj.14087
work_keys_str_mv AT changyu applicationofnextgenerationsequencingtechnologyinthedetectionofpathogenicbacteriaoftheperiprostheticjointinfectionafterarthroplasty
AT jiangkai applicationofnextgenerationsequencingtechnologyinthedetectionofpathogenicbacteriaoftheperiprostheticjointinfectionafterarthroplasty
AT zhanglixin applicationofnextgenerationsequencingtechnologyinthedetectionofpathogenicbacteriaoftheperiprostheticjointinfectionafterarthroplasty
AT yangfang applicationofnextgenerationsequencingtechnologyinthedetectionofpathogenicbacteriaoftheperiprostheticjointinfectionafterarthroplasty
AT huangjing applicationofnextgenerationsequencingtechnologyinthedetectionofpathogenicbacteriaoftheperiprostheticjointinfectionafterarthroplasty