Literature DB >> 29437053

Can next generation sequencing play a role in detecting pathogens in synovial fluid?

N Shohat1, M Tarabichi2, K Goswami2, J Parvizi2.   

Abstract

AIMS: The diagnosis of periprosthetic joint infection can be difficult due to the high rate of culture-negative infections. The aim of this study was to assess the use of next-generation sequencing for detecting organisms in synovial fluid.
MATERIALS AND METHODS: In this prospective, single-blinded study, 86 anonymized samples of synovial fluid were obtained from patients undergoing aspiration of the hip or knee as part of the investigation of a periprosthetic infection. A panel of synovial fluid tests, including levels of C-reactive protein, human neutrophil elastase, total neutrophil count, alpha-defensin, and culture were performed prior to next-generation sequencing.
RESULTS: Of these 86 samples, 30 were alpha-defensin-positive and culture-positive (Group I), 24 were alpha-defensin-positive and culture-negative (Group II) and 32 were alpha-defensin-negative and culture-negative (Group III). Next-generation sequencing was concordant with 25 results for Group I. In four of these, it detected antibiotic resistant bacteria whereas culture did not. In another four samples with relatively low levels of inflammatory biomarkers, culture was positive but next-generation sequencing was negative. A total of ten samples had a positive next-generation sequencing result and a negative culture. In five of these, alpha-defensin was positive and the levels of inflammatory markers were high. In the other five, alpha-defensin was negative and the levels of inflammatory markers were low. While next-generation sequencing detected several organisms in each sample, in most samples with a higher probability of infection, there was a predominant organism present, while in those presumed not to be infected, many organisms were identified with no predominant organism.
CONCLUSION: Pathogens causing periprosthetic infection in both culture-positive and culture-negative samples of synovial fluid could be identified by next-generation sequencing. Cite this article: Bone Joint J 2018;100-B:127-33. ©2018 The British Editorial Society of Bone & Joint Surgery.

Entities:  

Keywords:  Culture-negative; Next Generation Sequencing; Periprosthetic Joint Infection

Mesh:

Substances:

Year:  2018        PMID: 29437053     DOI: 10.1302/0301-620X.100B2.BJJ-2017-0531.R2

Source DB:  PubMed          Journal:  Bone Joint J        ISSN: 2049-4394            Impact factor:   5.082


  25 in total

Review 1.  Current Recommendations for the Diagnosis of Acute and Chronic PJI for Hip and Knee-Cell Counts, Alpha-Defensin, Leukocyte Esterase, Next-generation Sequencing.

Authors:  Karan Goswami; Javad Parvizi; P Maxwell Courtney
Journal:  Curr Rev Musculoskelet Med       Date:  2018-09

Review 2.  The Expanding Role of Biomarkers in Diagnosing Infection in Total Joint Arthroplasty: A Review of Current Literature.

Authors:  Ardalan Sayan; Adam Kopiec; Alisina Shahi; Madhav Chowdhry; Matthew Bullock; Ali Oliashirazi
Journal:  Arch Bone Jt Surg       Date:  2021-01

Review 3.  Diagnostic Value of Next-Generation Sequencing in Periprosthetic Joint Infection: A Systematic Review.

Authors:  Yuchen Tang; Dacheng Zhao; Shenghong Wang; Qiong Yi; Yayi Xia; Bin Geng
Journal:  Orthop Surg       Date:  2021-12-21       Impact factor: 2.071

4.  Isothermal Microcalorimetry Improves the Time to Diagnosis of Fracture-related Infection Compared With Conventional Tissue Cultures.

Authors:  Kyle H Cichos; Clay A Spitler; Jonathan H Quade; Joseph P Johnson; Michael D Johnson; Elie S Ghanem
Journal:  Clin Orthop Relat Res       Date:  2022-04-05       Impact factor: 4.755

5.  Recurrent Failures After 2-Stage Exchanges are Secondary to New Organisms Not Previously Covered by Antibiotics.

Authors:  Fortune J Egbulefu; JaeWon Yang; John C Segreti; Scott M Sporer; Antonia F Chen; Matthew S Austin; Craig J Della Valle
Journal:  Arthroplast Today       Date:  2022-08-27

6.  Species-Specific Immunoassay Aids Identification of Pathogen and Tracks Infectivity in Foot Infection.

Authors:  Stephanie P Hao; Elysia A Masters; Mark J Ninomiya; Christopher A Beck; Edward M Schwarz; John L Daiss; Irvin Oh
Journal:  Foot Ankle Int       Date:  2020-11-09       Impact factor: 2.827

7.  Comparative study of culture, next-generation sequencing, and immunoassay for identification of pathogen in diabetic foot ulcer.

Authors:  Jason Scott Lipof; Courtney Marie Cora Jones; John Daiss; Irvin Oh
Journal:  J Orthop Res       Date:  2021-02-15       Impact factor: 3.494

8.  Does the Alpha Defensin ELISA Test Perform Better Than the Alpha Defensin Lateral Flow Test for PJI Diagnosis? A Systematic Review and Meta-analysis of Prospective Studies.

Authors:  Jesse W P Kuiper; Steven J Verberne; Stan J Vos; Pim W van Egmond
Journal:  Clin Orthop Relat Res       Date:  2020-06       Impact factor: 4.755

Review 9.  Studying Biofilm and Clinical Issues in Orthopedics.

Authors:  Trisha N Peel
Journal:  Front Microbiol       Date:  2019-02-26       Impact factor: 5.640

Review 10.  Next generation sequencing for pathogen detection in periprosthetic joint infections.

Authors:  Pier F Indelli; Stefano Ghirardelli; Bruno Violante; Derek F Amanatullah
Journal:  EFORT Open Rev       Date:  2021-04-01
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