Literature DB >> 35726882

An Enhanced Understanding of Culture-Negative Periprosthetic Joint Infection with Next-Generation Sequencing: A Multicenter Study.

Karan Goswami1, Samuel Clarkson1, Caleb D Phillips2, Douglas A Dennis3, Brian A Klatt4, Michael J O'Malley4, Eric L Smith5, Jeremy M Gililland6, Christopher E Pelt6, Christopher L Peters6, Arthur L Malkani7, Brian T Palumbo8, Steven T Lyons8, Thomas L Bernasek8, Jon Minter9, Nitin Goyal10, James F McDonald10, Michael B Cross11, Hernan A Prieto12, Gwo-Chin Lee13, Erik N Hansen14, Stefano A Bini14, Derek T Ward14, Noam Shohat1, Carlos A Higuera15, Dennis Nam16, Craig J Della Valle16, Javad Parvizi1.   

Abstract

BACKGROUND: The challenges of culture-negative periprosthetic joint infection (PJI) have led to the emergence of molecular methods of pathogen identification, including next-generation sequencing (NGS). While its increased sensitivity compared with traditional culture techniques is well documented, it is not fully known which organisms could be expected to be detected with use of NGS. The aim of this study was to describe the NGS profile of culture-negative PJI.
METHODS: Patients undergoing revision hip or knee arthroplasty from June 2016 to August 2020 at 14 institutions were prospectively recruited. Patients meeting International Consensus Meeting (ICM) criteria for PJI were included in this study. Intraoperative samples were obtained and concurrently sent for both routine culture and NGS. Patients for whom NGS was positive and standard culture was negative were included in our analysis.
RESULTS: The overall cohort included 301 patients who met the ICM criteria for PJI. Of these patients, 85 (28.2%) were culture-negative. A pathogen could be identified by NGS in 56 (65.9%) of these culture-negative patients. Seventeen species were identified as common based on a study-wide incidence threshold of 5%. NGS revealed a polymicrobial infection in 91.1% of culture-negative PJI cases, with the set of common species contributing to 82.4% of polymicrobial profiles. Escherichia coli, Cutibacterium acnes, Staphylococcus epidermidis, and Staphylococcus aureus ranked highest in terms of incidence and study-wide mean relative abundance and were most frequently the dominant organism when occurring in polymicrobial infections.
CONCLUSIONS: NGS provides a more comprehensive picture of the microbial profile of infection that is often missed by traditional culture. Examining the profile of PJI in a multicenter cohort using NGS, this study demonstrated that approximately two-thirds of culture-negative PJIs had identifiable opportunistically pathogenic organisms, and furthermore, the majority of infections were polymicrobial. LEVEL OF EVIDENCE: Diagnostic Level II . See Instructions for Authors for a complete description of levels of evidence.
Copyright © 2022 by The Journal of Bone and Joint Surgery, Incorporated.

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Year:  2022        PMID: 35726882     DOI: 10.2106/JBJS.21.01061

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   6.558


  2 in total

Review 1.  Higher sensitivity and accuracy of synovial next-generation sequencing in comparison to culture in diagnosing periprosthetic joint infection: a systematic review and meta-analysis.

Authors:  Ashraf T Hantouly; Osama Alzobi; Ahmad A Toubasi; Bashir Zikria; Mohammed Al Ateeq Al Dosari; Ghalib Ahmed
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-10-16       Impact factor: 4.114

Review 2.  Imaging in Hip Arthroplasty Management Part 2: Postoperative Diagnostic Imaging Strategy.

Authors:  Charles Lombard; Pierre Gillet; Edouard Germain; Fatma Boubaker; Alain Blum; Pedro Augusto Gondim Teixeira; Romain Gillet
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

  2 in total

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