Literature DB >> 29257013

Synovial Fluid Biomarkers for the Diagnosis of Periprosthetic Joint Infection: A Systematic Review and Meta-Analysis.

Yong Seuk Lee1,2, Kyung-Hoi Koo2, Hyun Jung Kim3, Shaoqi Tian1,4, Tae-Young Kim1,5, Mitchell G Maltenfort1, Antonia F Chen1.   

Abstract

BACKGROUND: The search for a single standard reference test for determining periprosthetic joint infection (PJI) through analysis of synovial fluid has yielded numerous biomarkers as potential candidates. The purpose of the present systematic review and meta-analysis was to evaluate the diagnostic accuracy of synovial fluid biomarkers and to determine which test has the highest diagnostic odds ratio (DOR) for the diagnosis of PJI.
METHODS: An online literature search of the MEDLINE, Embase, and Cochrane databases identified 33 articles reporting a total of 13 major parameters for diagnosing PJI through analysis of synovial fluid. Each of the included articles was independently analyzed for risk of bias and for concerns regarding applicability utilizing the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2) tool. The mada (meta-analysis of diagnostic accuracy) tool was used to generate forest plots for sensitivity, specificity, and the log of the DOR, as well as summary statistics.
RESULTS: In this analysis, 13 index tests (leukocyte count; measurement of the percentage of polymorphonucleocytes [PMN%] and the levels of C-reactive protein [CRP], α-defensin, leukocyte esterase [LE], interleukin [IL]-6, IL-8, IL-10, IL-1β, vascular endothelial growth factor [VEGF], and granulocyte-colony stimulating factor [G-CSF]; culture; and polymerase chain reaction [PCR] analysis) were evaluated on the basis of ≥2 articles. Of these tests, 8 (leukocyte count, PMN%, CRP, α-defensin, LE, IL-6, IL-8, and culture) were appropriate for pooled analysis. The overall sensitivity of these 8 markers was 0.85, and all but culture showed a sensitivity of ≥0.8. All markers showed a specificity of ≥0.9. Of the 8 tests, measurement of the α-defensin level showed the highest log DOR.
CONCLUSIONS: Synovial fluid leukocyte count, PMN%, CRP, α-defensin, LE, IL-6, and IL-8 all demonstrated high sensitivity for diagnosing PJI, with α-defensin being the best synovial marker based on the highest log DOR. However, other synovial fluid tests that demonstrate good diagnostic performance can also be used in combination for the diagnosis of PJI. LEVEL OF EVIDENCE: Diagnostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

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Year:  2017        PMID: 29257013     DOI: 10.2106/JBJS.17.00123

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  42 in total

1.  Laboratory-based versus qualitative assessment of α-defensin in periprosthetic hip and knee infections: a systematic review and meta-analysis.

Authors:  Giovanni Balato; Vincenzo de Matteo; Tiziana Ascione; Sigismondo Luca Di Donato; Cristiano De Franco; Francesco Smeraglia; Andrea Baldini; Massimo Mariconda
Journal:  Arch Orthop Trauma Surg       Date:  2019-07-12       Impact factor: 3.067

Review 2.  Low-Virulence Organisms and Periprosthetic Joint Infection-Biofilm Considerations of These Organisms.

Authors:  K Keely Boyle; Stuart Wood; T David Tarity
Journal:  Curr Rev Musculoskelet Med       Date:  2018-09

Review 3.  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

4.  What Is the Diagnostic Accuracy of Alpha-Defensin and Leukocyte Esterase Test in Periprosthetic Shoulder Infection?

Authors:  Niklas Unter Ecker; Alina Koniker; Thorsten Gehrke; Jochen Salber; Akos Zahar; Moritz Hentschke; Mustafa Citak
Journal:  Clin Orthop Relat Res       Date:  2019-07       Impact factor: 4.176

5.  What Is the Impact of Automated Synovial Cell Counting on Different Aseptic Causes and Periprosthetic Conditions Associated With Revision THA?

Authors:  Hussein Abdelaziz; Alaa Aljawabra; Markus Rossmann; Calvin Shum Tien; Mustafa Citak; Till Orla Klatte; Thorsten Gehrke
Journal:  Clin Orthop Relat Res       Date:  2021-12-01       Impact factor: 4.176

Review 6.  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 7.  New developments and future challenges in prevention, diagnosis, and treatment of prosthetic joint infection.

Authors:  Benjamin F Ricciardi; Gowrishankar Muthukrishnan; Elysia A Masters; Nathan Kaplan; John L Daiss; Edward M Schwarz
Journal:  J Orthop Res       Date:  2020-01-31       Impact factor: 3.494

Review 8.  Prosthetic joint infections: diagnosis, management, and complications of the two-stage replacement arthroplasty.

Authors:  Jack Porrino; Annie Wang; Austin Moats; Hyojeong Mulcahy; Kimia Kani
Journal:  Skeletal Radiol       Date:  2020-02-10       Impact factor: 2.199

9.  Leukocyte esterase test and alpha-defensin test have similar accuracy for the diagnosis of periprosthetic joint infection.

Authors:  Bao-Zhan Yu; Rui Li; Jun Fu; Wei Chai; Li-Bo Hao; Ji-Ying Chen
Journal:  Int Orthop       Date:  2021-02-12       Impact factor: 3.075

10.  Novel Biomarkers for Diagnosing Periprosthetic Joint Infection from Synovial Fluid and Serum.

Authors:  Hannes Keemu; Felix Vaura; Anu Maksimow; Mikael Maksimow; Aleksi Jokela; Maija Hollmén; Keijo Mäkelä
Journal:  JB JS Open Access       Date:  2021-04-20
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