Literature DB >> 32721535

Detecting the presence of bacteria in low-volume preoperative aspirated synovial fluid by metagenomic next-generation sequencing.

Xinyu Fang1, Yuanqing Cai2, Tengbin Shi3, Zida Huang4, Chongjing Zhang5, Wenbo Li6, Chaofan Zhang7, Bin Yang8, Wenming Zhang9, Zhenpeng Guan10.   

Abstract

OBJECTIVES: Preoperative diagnosis is important for patients who need revision surgery due to PJI. Microbial culture plays an important role in PJI diagnosis, but the sensitivity of cultures is low when the sample amount is limited or when a patient is treated with antibiotics before sample collection. In this study, metagenomic next-generation sequencing (mNGS) was used to detect bacteria in preoperative puncture synovial fluid samples from patients with suspected PJI, and the preoperative and intraoperative culture results were compared to estimate its diagnostic efficiency.
METHODS: From July 2016 to December 2018, patients with suspected PJI who underwent prosthetic joint revision surgery were included, and the results of those who had been tested by preoperative synovial fluid culture and mNGS were obtained. The demographic characteristics, medical history, laboratory test results, culture results, and mNGS results of each patient were recorded. Then, the efficiency of preoperative synovial fluid mNGS was compared to that of synovial fluid culture for diagnosing PJI.
RESULTS: A total of 37 patients were included, and 24 patients (25 joints) were diagnosed with PJI. The sensitivity, specificity, and accuracy of preoperative synovial fluid mNGS were 92%, 91.7%, and 83.7%, respectively. The sensitivity, specificity, and accuracy of preoperative synovial fluid culture were 52%, 91.7%, and 43.7%, respectively.
CONCLUSIONS: With a low volume of synovia (1 ml), mNGS can be performed with higher sensitivity and specificity compared to synovial culture. Thus, mNGS can be a useful supplemental method to improve diagnostic efficiency during the preoperative period.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Low volume; Metagenomic next-generation sequencing; Microbial culture; Periprosthetic joint infection; Preoperative joint puncture

Year:  2020        PMID: 32721535     DOI: 10.1016/j.ijid.2020.07.039

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  6 in total

Review 1.  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

Review 2.  The Effectiveness of Metagenomic Next-Generation Sequencing in the Diagnosis of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis.

Authors:  Jun Tan; Yang Liu; Sabrina Ehnert; Andreas K Nüssler; Yang Yu; Jianzhong Xu; Tao Chen
Journal:  Front Cell Infect Microbiol       Date:  2022-06-10       Impact factor: 6.073

3.  Surgical Management for Chronic Destructive Septic Hip Arthritis: Debridement, Antibiotics, and Single-Stage Replacement is as Effective as Two-Stage Arthroplasty.

Authors:  Chao-Fan Zhang; Xin-Yu Fang; Zi-da Huang; Guo-Chang Bai; Ze-Yu Zhang; Ye Yang; Zi-Jie Zhang; Wen-Bo Li; Wen-Ming Zhang
Journal:  Orthop Surg       Date:  2022-05-18       Impact factor: 2.279

4.  Potential Blood Biomarkers for Diagnosing Periprosthetic Joint Infection: A Single-Center, Retrospective Study.

Authors:  Hong Xu; Jinwei Xie; Shaoyun Zhang; Duan Wang; Zeyu Huang; Zongke Zhou
Journal:  Antibiotics (Basel)       Date:  2022-04-11

5.  Nasal and cutaneous mucormycosis in two patients with lymphoma after chemotherapy and target therapy: Early detection by metagenomic next-generation sequencing.

Authors:  Qing Zhang; Xingchen Liu; Yanyan Liu; Huiqin Wang; Ran Zhao; Xiaodong Lv; Xudong Wei; KeShu Zhou
Journal:  Front Cell Infect Microbiol       Date:  2022-09-16       Impact factor: 6.073

6.  Identification of pathogen(s) in infectious diseases using shotgun metagenomic sequencing and conventional culture: a comparative study.

Authors:  Huan Chen; Jun Li; Shanshan Yan; Hui Sun; Chuyi Tan; Meidong Liu; Ke Liu; Huali Zhang; Mingxiang Zou; Xianzhong Xiao
Journal:  PeerJ       Date:  2021-06-29       Impact factor: 2.984

  6 in total

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