Clinical applications of metagenomic next-generation sequencing in the identification of pathogens in periprosthetic joint infections: a retrospective study
Shi et al.
Journal of Orthopaedic Surgery and Research
https://doi.org/10.1186/s13018-024-04745-5
(2024) 19:301
RESEARCH ARTICLE
Journal of Orthopaedic
Surgery and Research
Open Access
Clinical applications of metagenomic
next‑generation sequencing
in the identification of pathogens
in periprosthetic joint infections: a retrospective
study
Tengfei Shi1†, Huiyu Chen2†, Yinhuan Liu1, Yexin Wu1 and Feitai Lin3*
Abstract
Background This study aimed to evaluate the application of metagenomic next-generation sequencing (mNGS)
technology to identify pathogens in periprosthetic joint infection (PJI).
Methods A retrospective analysis was conducted on 65 patients suspected of having PJI between April 2020
and July 2023. The patients were categorized into PJI (46 patients) and non-PJI (19 patients) groups based on the 2018
International Consensus Meeting criteria. Clinical data were collected, and both conventional bacterial culture
and mNGS were performed. The diagnostic performance of the two methods was compared and analyzed.
Results mNGS exhibited a sensitivity of 89.13%, a specificity of 94.74%, a positive predictive value of 97.62%,
a negative predictive value of 78.26%, and an overall diagnostic accuracy of 90.77%. Compared to microbial culture,
mNGS demonstrated superior diagnostic sensitivity while maintaining similar specificity. A total of 48 pathogens
were successfully identified using mNGS, with Coagulase-negative staphylococci, Streptococci, Staphylococcus aureus,
and Cutibacterium acnes being the most common infectious agents. Notably, mNGS was used to identify 17 potential pathogens in 14 culture-negative PJI samples, highlighting its ability to detect rare infectious agents, including Cutibacterium acnes (n = 5), Granulicatella adiacens (n = 1), Mycobacterium tuberculosis complex (n = 1), and Coxiella
burnetii (n = 1), among others, which are not detectable by routine culture methods. However, mNGS failed to detect
the pathogen in 4 culture-positive PJI patients, indicating its limitations. Among the 46 PJI patients, 27 had positive
culture and mNGS results. The results of mNGS were concordant with those of culture at the genus level in 6 patients
with PJI and at the species level in 18 patients. Furthermore, the present study revealed a significantly greater proportion of Staphylococcus aureus in the sinus tract group (45.45%) than in the non-sinus tract group (14.29%), indicating
the association of this pathogen with sinus formation in PJI (P = 0.03). Additionally, there was no significant difference
in the occurrence of polymicrobial infections between the sinus tract group (27.27%) and the non-sinus tract group
(33.33%) (P = 0.37).
†
Tengfei Shi and Huiyu Chen contributed equally to this work and were the
co-first author.
*Correspondence:
Feitai Lin
Full list of author information is available at the end of the article
© The Author(s) 2024. 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Shi et al. Journal of Orthopaedic Surgery and Research
(2024) 19:301
Page 2 of 11
Conclusions Metagenomic next-generation sequencing can serve as a valuable screening tool in addition to traditional culture methods to improve diagnostic accuracy through optimized culture strategies.
Keywords Periprosthetic joint infection, Metagenomic next-generation sequencing, Microbial culture,
Staphylococcus aureus, Sinus tract
Introduction
Periprosthetic joint infection (PJI) is a serious complication of joint replacement surgery, with an incidence rate
ranging from 2.0 to 2.7% [1]. The complexity of the treatment and management of PJI persists and remains a clinical focus [2, 3]. With the popularization of artificial joint
replacement surgery, the incidence of PJI has increased,
and PJI poses a significant burden on patients and the
health care system [4, 5].
Traditional microbiological culture methods have long
been regarded as the “gold standard” for the diagnosis of
infection. However, this method has significant limitations, such as a lengthy turnaround time, dependence on
viable pathogens, and high standards for culture conditions [6]. Especially in PJI patients requiring urgent intervention, the time required for culture results may lead to
delays in clinical treatment and severe adverse outcomes
[7, 8]. In recent years, molecular diagnostic techniques
have been widely used in the diagnosis of PJI due to their
speed, avoidance of antibiotic interference, and minimal sample requirements. However, these techniques,
such as multiplex polymerase chain reaction (PCR) and
16S rRNA gene sequencing [9, 10], can only identify a
limited number of microorganisms and potentially miss
some uncommon pathogens or even fail to detect fungal
or polymicrobial infections. Additionally, while matrixassisted laser desorption ionization time-of-flight mass
spectrometry (MALDI-TOF MS) has been widely used in
clinical bacterial identification, this method is primarily
used for the identification of cultured strains. Although
there have been researchers that have attempted to use
MALDI-TOF MS to directly assess synovial specimens
from blood culture bottles for PJI diagnosis, the sensitivity and specificity of this method are still unable to meet
the requirements for PJI diagnosis [11, 12].
To overcome these limitations, metagenomic nextgeneration sequencing (mNGS) has garnered significant
attention. This technology possesses high-throughput
detection capabilities, thereby enabling the simultaneous
analysis of thousands of DNA fragments and allowing for
the comprehensive detection of pathogens such as bacteria, fungi, viruses, and parasites. Diagnostic results are
typically available within 48 h [13]. Metagenomic nextgeneration sequencing has been applied in the detection
of pathogens in various infectious diseases, including
those affecting the nervous, urinary, and respiratory
systems [14–16]. Studies have shown that mNGS exhibits
high overall diagnostic sensitivity and specificity in diagnosin (...truncated)