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Published in: Journal of Orthopaedic Surgery and Research 1/2023

Open Access 01-12-2023 | Joint Infection | Research article

Comparison of microbial detection rates in microbial culture methods versus next-generation sequencing in patients with prosthetic joint infection: a systematic review and meta-analysis

Authors: Hideo Kato, Mao Hagihara, Nobuhiro Asai, Takumi Umemura, Jun Hirai, Yuka Yamagishi, Takuya Iwamoto, Hiroshige Mikamo

Published in: Journal of Orthopaedic Surgery and Research | Issue 1/2023

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Abstract

Background

Accurate diagnosis of prosthetic joint infection (PJI) enables early and effective treatment. However, there is currently no gold standard test for microbial detection of PJI and traditional synovial fluid culture is relatively insensitive. Recently, it has been reported that sonicating fluid culture and next-generation sequencing (NGS) improve microbial detection rates. Hence, we performed a systematic review and meta-analysis to compare microbial detection rates in microbial culture methods with and without sonication versus NGS.

Methods

We systematically searched EMBASE, PubMed, Scopus, CINAHL, and Ichushi databases and other sources (previous reviews) until August 2022. We evaluated the detection rates of pathogens in NGS and microbial cultures using samples of synovial or sonicated fluid.

Results

Of the 170 citations identified for screening, nine studies were included. Pooled analysis indicated that NGS had the highest detection rate among the microbial detection methods (NGS vs. sonicated, odds ratios [OR] 5.09, 95% confidential interval [CI] 1.67–15.50; NGS vs. synovial, OR 4.52, 95% CI 2.86–7.16). Sonicated fluid culture showed a higher detection rate than synovial fluid culture (OR 2.11, 95% CI 1.23–3.62).

Conclusion

NGS might be useful as a screening tool for culture-negative patients. In clinical settings, sonicated fluid culture is a practical method for diagnosing PJI.
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Metadata
Title
Comparison of microbial detection rates in microbial culture methods versus next-generation sequencing in patients with prosthetic joint infection: a systematic review and meta-analysis
Authors
Hideo Kato
Mao Hagihara
Nobuhiro Asai
Takumi Umemura
Jun Hirai
Yuka Yamagishi
Takuya Iwamoto
Hiroshige Mikamo
Publication date
01-12-2023
Publisher
BioMed Central
Keyword
Joint Infection
Published in
Journal of Orthopaedic Surgery and Research / Issue 1/2023
Electronic ISSN: 1749-799X
DOI
https://doi.org/10.1186/s13018-023-03973-5

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