scholarly journals Metagenomic next generation sequencing improves diagnosis of prosthetic joint infection by detecting the presence of bacteria in periprosthetic tissues

2020 ◽  
Vol 96 ◽  
pp. 573-578 ◽  
Author(s):  
Yuanqing Cai ◽  
Xinyu Fang ◽  
Yang Chen ◽  
Zida Huang ◽  
Chaofan Zhang ◽  
...  
2020 ◽  
Vol 9 (7) ◽  
pp. 440-449 ◽  
Author(s):  
Zida Huang ◽  
Wenbo Li ◽  
Gwo-Chin Lee ◽  
Xinyu Fang ◽  
Li Xing ◽  
...  

Aims The aim of this study was to evaluate the performance of metagenomic next-generation sequencing (mNGS) in detecting pathogens from synovial fluid of prosthetic joint infection (PJI) patients. Methods A group of 75 patients who underwent revision knee or hip arthroplasties were enrolled prospectively. Ten patients with primary arthroplasties were included as negative controls. Synovial fluid was collected for mNGS analysis. Optimal thresholds were determined to distinguish pathogens from background microbes. Synovial fluid, tissue, and sonicate fluid were obtained for culture. Results A total of 49 PJI and 21 noninfection patients were finally included. Of the 39 culture-positive PJI cases, mNGS results were positive in 37 patients (94.9%), and were consistent with culture results at the genus level in 32 patients (86.5%) and at the species level in 27 patients (73.0%). Metagenomic next-generation sequencing additionally identified 15 pathogens from five culture-positive and all ten culture-negative PJI cases, and even one pathogen from one noninfection patient, while yielding no positive findings in any primary arthroplasty. However, seven pathogens identified by culture were missed by mNGS. The sensitivity of mNGS for diagnosing PJI was 95.9%, which was significantly higher than that of comprehensive culture (79.6%; p = 0.014). The specificity is similar between mNGS and comprehensive culture (95.2% and 95.2%, respectively; p = 1.0). Conclusion Metagenomic next-generation sequencing can effectively identify pathogens from synovial fluid of PJI patients, and demonstrates high accuracy in diagnosing PJI. Cite this article: Bone Joint Res 2020;9(7):440–449.


2019 ◽  
Vol 4 (1) ◽  
pp. 50-55 ◽  
Author(s):  
Zida Huang ◽  
Chongjing Zhang ◽  
Wenbo Li ◽  
Xinyu Fang ◽  
Qijin Wang ◽  
...  

Abstract. Identifying fastidious pathogens in patients with prosthetic joint infection (PJI) by culture is challenging. Metagenomic next-generation sequencing (mNGS) is a novel culture-independent approach that is associated with a higher likelihood for identifying pathogens. We present a case where mNGS was implemented to identify Parvimonas micra, a rarely reported and difficult-to-culture PJI pathogen.


2021 ◽  
Vol 103-B (1) ◽  
pp. 26-31
Author(s):  
Beau J. Kildow ◽  
Sean P. Ryan ◽  
Richard Danilkowicz ◽  
Alexander L. Lazarides ◽  
Colin Penrose ◽  
...  

Aims Use of molecular sequencing methods in periprosthetic joint infection (PJI) diagnosis and organism identification have gained popularity. Next-generation sequencing (NGS) is a potentially powerful tool that is now commercially available. The purpose of this study was to compare the diagnostic accuracy of NGS, polymerase chain reaction (PCR), conventional culture, the Musculoskeletal Infection Society (MSIS) criteria, and the recently proposed criteria by Parvizi et al in the diagnosis of PJI. Methods In this retrospective study, aspirates or tissue samples were collected in 30 revision and 86 primary arthroplasties for routine diagnostic investigation for PJI and sent to the laboratory for NGS and PCR. Concordance along with statistical differences between diagnostic studies were calculated. Results Using the MSIS criteria to diagnose PJI as the reference standard, the sensitivity and specificity of NGS were 60.9% and 89.9%, respectively, while culture resulted in sensitivity of 76.9% and specificity of 95.3%. PCR had a low sensitivity of 18.4%. There was no significant difference based on sample collection method (tissue swab or synovial fluid) (p = 0.760). There were 11 samples that were culture-positive and NGS-negative, of which eight met MSIS criteria for diagnosing infection. Conclusion In our series, NGS did not provide superior sensitivity or specificity results compared to culture. PCR has little utility as a standalone test for PJI diagnosis with a sensitivity of only 18.4%. Currently, several laboratory tests for PJI diagnosis should be obtained along with the overall clinical picture to help guide decision-making for PJI treatment. Cite this article: Bone Joint J 2021;103-B(1):26–31.


Biomedicines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 910
Author(s):  
Lukas Lüftinger ◽  
Ines Ferreira ◽  
Bernhard J. H. Frank ◽  
Stephan Beisken ◽  
Johannes Weinberger ◽  
...  

Joint replacement surgeries are one of the most frequent medical interventions globally. Infections of prosthetic joints are a major health challenge and typically require prolonged or even indefinite antibiotic treatment. As multidrug-resistant pathogens continue to rise globally, novel diagnostics are critical to ensure appropriate treatment and help with prosthetic joint infections (PJI) management. To this end, recent studies have shown the potential of molecular methods such as next-generation sequencing to complement established phenotypic, culture-based methods. Together with advanced bioinformatics approaches, next-generation sequencing can provide comprehensive information on pathogen identity as well as antimicrobial susceptibility, potentially enabling rapid diagnosis and targeted therapy of PJIs. In this review, we summarize current developments in next generation sequencing based predictive antibiotic susceptibility testing and discuss potential and limitations for common PJI pathogens.


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