Literature DB >> 29920159

Diagnosis of Periprosthetic Joint Infection Using Polymerase Chain Reaction: An Updated Systematic Review and Meta-Analysis.

Yang Jun1, Liu Jianghua1.   

Abstract

BACKGROUND: We aim to update a meta-analysis to evaluate the efficiency of polymerase chain reaction (PCR) for diagnosis of periprosthetic joint infection (PJI) because different types of PCR assays have yielded variable diagnostic efficiency from 2013.
METHODS: We conducted our systematic review by searching for keywords in online databases from 2013 to May 2017. Studies were chosen based on inclusion and exclusion criteria and the quality of included studies was assessed. Pooled sensitivity and specificity were compared with other synovial fluid biomarkers. A total of 20 studies, comprising 2,526 participants were assessed.
RESULTS: The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were 0.76 (95% confidence interval [CI]: 0.65-0.85), 0.94 (95% CI: 0.92-0.95), and 0.94 (95% CI: 0.92-0.96), respectively. Meta-regression analysis indicated that use of specific genes, fresh samples, and more than one sample per patient may improve sensitivity.
CONCLUSIONS: Although novel PCR assays have been developed, the sensitivity of PCR for the diagnosis of PJI had decreased compared with the previous meta-analysis (0.86, 95% CI: 0.77-0.92), whereas the high specificity is reliable for excluding PJI. Novel synovial fluid biomarker such as α-defensin, which possesses pooled sensitivity between 0.96 and 1.00, might be more efficient than PCR in PJI diagnosis.

Entities:  

Keywords:  meta-analysis; polymerase chain reaction; prosthetic joint infection; synovial fluid biomarkers

Mesh:

Substances:

Year:  2018        PMID: 29920159     DOI: 10.1089/sur.2018.014

Source DB:  PubMed          Journal:  Surg Infect (Larchmt)        ISSN: 1096-2964            Impact factor:   2.150


  5 in total

1.  Rapid diagnostics of orthopedic implant-associated infections using Unyvero ITI implant and tissue infection application is not optimal for Staphylococcus species identification.

Authors:  Hege Vangstein Aamot; Bjørn Odd Johnsen; Inge Skråmm
Journal:  BMC Res Notes       Date:  2019-11-06

2.  DNA extraction of microbial DNA directly from infected tissue: an optimized protocol for use in nanopore sequencing.

Authors:  Karin Helmersen; Hege Vangstein Aamot
Journal:  Sci Rep       Date:  2020-02-19       Impact factor: 4.379

3.  Diagnostic value of next-generation sequencing to detect periprosthetic joint infection.

Authors:  Han Yin; Duliang Xu; Dawei Wang
Journal:  BMC Musculoskelet Disord       Date:  2021-03-06       Impact factor: 2.362

4.  Usefulness of a Multiplex PCR Assay for the Diagnosis of Prosthetic Joint Infections in the Routine Setting.

Authors:  Álvaro Auñón; Ismael Coifman; Antonio Blanco; Joaquín García Cañete; Raúl Parrón-Cambero; Jaime Esteban
Journal:  Orthop Surg       Date:  2022-01-02       Impact factor: 2.071

Review 5.  Diagnostic Methods for Prosthetic Joint Infection in Korea.

Authors:  Kyung Hwa Park; Robin Patel
Journal:  Infect Chemother       Date:  2018-09
  5 in total

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