Literature DB >> 34935279

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

Yuchen Tang1, Dacheng Zhao1, Shenghong Wang1, Qiong Yi1, Yayi Xia1, Bin Geng1.   

Abstract

Next-generation sequencing (NGS) has developed rapidly in the last decade and is emerging as a promising diagnostic tool for periprosthetic joint infection (PJI). However, its diagnostic value for PJI is still uncertain. This systematic review aimed to explore the diagnostic value of NGS for PJI and verify its accuracy for culture-negative PJI patients. We conducted this systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Medline, Embase, and Cochrane Library were searched to identify diagnostic technique studies evaluating the accuracy of NGS in the diagnosis of PJI. The diagnostic sensitivity, specificity, and positive and negative predictive values were estimated for each article. The detection rate of NGS for culture-negative PJI patients or PJI patients with antibiotic administration history was also calculated. Of the 87 identified citations, nine studies met the inclusion criteria. The diagnostic sensitivities and specificities of NGS ranged from 63% to 96% and 73% to 100%, respectively. The positive and negative predictive values ranged from 71% to 100% and 74% to 95%, respectively. The detection rate of NGS for culture-negative PJI patients in six studies was higher than 50% (range from 82% to 100%), while in three studies it was lower than 50% (range from 9% to 31%). Also, the detection rate of NGS for PJIs with antibiotic administration history ranged from 74.05% to 92.31%. In conclusion, this systematic review suggests that NGS may have the potential to be a new tool for the diagnosis of PJI and should be considered to be added to the portfolio of diagnostic procedures. Furthermore, NGS showed a favorable diagnostic accuracy for culture-negative PJI patients or PJI patients with antibiotic administration history. However, due to the small sample sizes of studies and substantial heterogeneity among the included studies, more research is needed to confirm or disprove these findings.
© 2021 The Authors. Orthopaedic Surgery published by Chinese Orthopaedic Association and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Diagnosis; Next-generation sequencing; Periprosthetic joint infection; Systematic review

Mesh:

Substances:

Year:  2021        PMID: 34935279      PMCID: PMC8867422          DOI: 10.1111/os.13191

Source DB:  PubMed          Journal:  Orthop Surg        ISSN: 1757-7853            Impact factor:   2.071


  59 in total

1.  Comparison of culture and broad-range polymerase chain reaction methods for diagnosing periprosthetic joint infection: analysis of joint fluid, periprosthetic tissue, and sonicated fluid.

Authors:  Zida Huang; Qiqiao Wu; Xinyu Fang; Wenbo Li; Chaofan Zhang; Huiyi Zeng; Qijin Wang; Jianhua Lin; Wenming Zhang
Journal:  Int Orthop       Date:  2018-02-11       Impact factor: 3.075

2.  Discrepancies between frozen and paraffin tissue sections have little effect on outcome of staged total knee arthroplasty revision for infection.

Authors:  D Alex Stroh; Aaron J Johnson; Qais Naziri; Michael A Mont
Journal:  J Bone Joint Surg Am       Date:  2012-09-19       Impact factor: 5.284

Review 3.  The next-generation sequencing revolution and its impact on genomics.

Authors:  Daniel C Koboldt; Karyn Meltz Steinberg; David E Larson; Richard K Wilson; Elaine R Mardis
Journal:  Cell       Date:  2013-09-26       Impact factor: 41.582

4.  Culture and PCR analysis of joint fluid in the diagnosis of prosthetic joint infection.

Authors:  Jiri Gallo; Milan Kolar; Milos Dendis; Yvona Loveckova; Pavel Sauer; Jana Zapletalova; Dagmar Koukalova
Journal:  New Microbiol       Date:  2008-01       Impact factor: 2.479

5.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

6.  Increasing but levelling out risk of revision due to infection after total hip arthroplasty: a study on 108,854 primary THAs in the Norwegian Arthroplasty Register from 2005 to 2019.

Authors:  Håvard Dale; Pål Høvding; Sindre M Tveit; Julie B Graff; Olav Lutro; Johannes C Schrama; Tina S Wik; Inge Skråmm; Marianne Westberg; Anne Marie Fenstad; Geir Hallan; Lars B Engesaeter; Ove Furnes
Journal:  Acta Orthop       Date:  2020-11-24       Impact factor: 3.717

7.  The W.A.I.O.T. Definition of High-Grade and Low-Grade Peri-Prosthetic Joint Infection.

Authors:  Carlo Luca Romanò; Hazem Al Khawashki; Thami Benzakour; Svetlana Bozhkova; Hernán Del Sel; Mahmoud Hafez; Ashok Johari; Guenter Lob; Hemant K Sharma; Hirouchi Tsuchiya; Lorenzo Drago
Journal:  J Clin Med       Date:  2019-05-10       Impact factor: 4.241

8.  Two-stage revision for prosthetic joint infection: predictors of outcome and the role of reimplantation microbiology.

Authors:  P Bejon; A Berendt; B L Atkins; N Green; H Parry; S Masters; P McLardy-Smith; R Gundle; I Byren
Journal:  J Antimicrob Chemother       Date:  2010-01-06       Impact factor: 5.790

9.  Can metagenomic next-generation sequencing identify the pathogens responsible for culture-negative prosthetic joint infection?

Authors:  Chaoxin Wang; Zida Huang; Wenbo Li; Xinyu Fang; Wenming Zhang
Journal:  BMC Infect Dis       Date:  2020-03-30       Impact factor: 3.090

10.  Debridement, Antibiotics, and Implant Retention for Acute Periprosthetic Joint Infection.

Authors:  Chao-Fan Zhang; Long He; Xin-Yu Fang; Zi-da Huang; Guo-Chang Bai; Wen-Bo Li; Wen-Ming Zhang
Journal:  Orthop Surg       Date:  2020-03-11       Impact factor: 2.071

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