Comparative study of cultures and next-generation sequencing in the diagnosis of shoulder prosthetic joint infections

2019 ◽  
Vol 28 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Surena Namdari ◽  
Thema Nicholson ◽  
Joseph Abboud ◽  
Mark Lazarus ◽  
Matthew L. Ramsey ◽  
...  
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.


2020 ◽  
Vol 13 (9) ◽  
pp. e236396
Author(s):  
Abuzar Ali Asif ◽  
Moni Roy ◽  
Sharjeel Ahmad

Mycoplasmatacea family comprises two genera: Mycoplasma and Ureaplasma. Ureaplasma parvum (previously known as U. urealyticum biovar 1) commonly colonises the urogenital tract in humans. Although Ureaplasma species have well-established pathogenicity in urogenital infections, its involvement in septic arthritis has been limited to prosthetic joint infections and immunocompromised individuals. We present a rare case of native right knee infection due to U. parvum identified using next-generation sequencing of microbial cell-free DNA testing and confirmed with PCR assays. This rare case of Ureaplasma septic arthritis was diagnosed using newer next-generation DNA sequencing diagnostic modalities and a literature review of prior cases, antibiotic coverage and antimicrobial resistance is incorporated as part of the discussion.


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.


2015 ◽  
Vol 24 ◽  
pp. 115-118 ◽  
Author(s):  
Sneha Asai ◽  
Adrianna Ianora ◽  
Chiara Lauritano ◽  
Penelope K. Lindeque ◽  
Ylenia Carotenuto

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