Cargando…

Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?

BACKGROUND: The diagnosis of periprosthetic joint infection (PJI) remains a serious clinical challenge. There is a pressing need for improved diagnostic testing methods; biomarkers offer one potentially promising approach. QUESTIONS/PURPOSES: We evaluated the diagnostic characteristics of 16 promisi...

Descripción completa

Detalles Bibliográficos
Autores principales: Deirmengian, Carl, Kardos, Keith, Kilmartin, Patrick, Cameron, Alexander, Schiller, Kevin, Parvizi, Javad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182392/
https://www.ncbi.nlm.nih.gov/pubmed/24590839
http://dx.doi.org/10.1007/s11999-014-3543-8
_version_ 1782337523578568704
author Deirmengian, Carl
Kardos, Keith
Kilmartin, Patrick
Cameron, Alexander
Schiller, Kevin
Parvizi, Javad
author_facet Deirmengian, Carl
Kardos, Keith
Kilmartin, Patrick
Cameron, Alexander
Schiller, Kevin
Parvizi, Javad
author_sort Deirmengian, Carl
collection PubMed
description BACKGROUND: The diagnosis of periprosthetic joint infection (PJI) remains a serious clinical challenge. There is a pressing need for improved diagnostic testing methods; biomarkers offer one potentially promising approach. QUESTIONS/PURPOSES: We evaluated the diagnostic characteristics of 16 promising synovial fluid biomarkers for the diagnosis of PJI. METHODS: Synovial fluid was collected from 95 patients meeting the inclusion criteria of this prospective diagnostic study. All patients were being evaluated for a revision hip or knee arthroplasty, including patients with systemic inflammatory disease and those already receiving antibiotic treatment. The Musculoskeletal Infection Society (MSIS) definition was used to classify 29 PJIs and 66 aseptic joints. Synovial fluid samples were tested by immunoassay for 16 biomarkers optimized for use in synovial fluid. Sensitivity, specificity, and receiver operating characteristic curve analysis were performed to assess for diagnostic performance. RESULTS: Five biomarkers, including human α-defensin 1-3, neutrophil elastase 2, bactericidal/permeability-increasing protein, neutrophil gelatinase-associated lipocalin, and lactoferrin, correctly predicted the MSIS classification of all patients in this study, with 100% sensitivity and specificity for the diagnosis of PJI. An additional eight biomarkers demonstrated excellent diagnostic strength, with an area under the curve of greater than 0.9. CONCLUSIONS: Synovial fluid biomarkers exhibit a high accuracy in diagnosing PJI, even when including patients with systemic inflammatory disease and those receiving antibiotic treatment. Considering that these biomarkers match the results of the more complex MSIS definition of PJI, we believe that synovial fluid biomarkers can be a valuable addition to the methods utilized for the diagnosis of infection. LEVEL OF EVIDENCE: Level II, diagnostic study. See Instructions for Authors for a complete description of levels of evidence.
format Online
Article
Text
id pubmed-4182392
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-41823922014-10-15 Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived? Deirmengian, Carl Kardos, Keith Kilmartin, Patrick Cameron, Alexander Schiller, Kevin Parvizi, Javad Clin Orthop Relat Res Symposium: 2013 Musculoskeletal Infection Society BACKGROUND: The diagnosis of periprosthetic joint infection (PJI) remains a serious clinical challenge. There is a pressing need for improved diagnostic testing methods; biomarkers offer one potentially promising approach. QUESTIONS/PURPOSES: We evaluated the diagnostic characteristics of 16 promising synovial fluid biomarkers for the diagnosis of PJI. METHODS: Synovial fluid was collected from 95 patients meeting the inclusion criteria of this prospective diagnostic study. All patients were being evaluated for a revision hip or knee arthroplasty, including patients with systemic inflammatory disease and those already receiving antibiotic treatment. The Musculoskeletal Infection Society (MSIS) definition was used to classify 29 PJIs and 66 aseptic joints. Synovial fluid samples were tested by immunoassay for 16 biomarkers optimized for use in synovial fluid. Sensitivity, specificity, and receiver operating characteristic curve analysis were performed to assess for diagnostic performance. RESULTS: Five biomarkers, including human α-defensin 1-3, neutrophil elastase 2, bactericidal/permeability-increasing protein, neutrophil gelatinase-associated lipocalin, and lactoferrin, correctly predicted the MSIS classification of all patients in this study, with 100% sensitivity and specificity for the diagnosis of PJI. An additional eight biomarkers demonstrated excellent diagnostic strength, with an area under the curve of greater than 0.9. CONCLUSIONS: Synovial fluid biomarkers exhibit a high accuracy in diagnosing PJI, even when including patients with systemic inflammatory disease and those receiving antibiotic treatment. Considering that these biomarkers match the results of the more complex MSIS definition of PJI, we believe that synovial fluid biomarkers can be a valuable addition to the methods utilized for the diagnosis of infection. LEVEL OF EVIDENCE: Level II, diagnostic study. See Instructions for Authors for a complete description of levels of evidence. Springer US 2014-03-04 2014-11 /pmc/articles/PMC4182392/ /pubmed/24590839 http://dx.doi.org/10.1007/s11999-014-3543-8 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Symposium: 2013 Musculoskeletal Infection Society
Deirmengian, Carl
Kardos, Keith
Kilmartin, Patrick
Cameron, Alexander
Schiller, Kevin
Parvizi, Javad
Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
title Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
title_full Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
title_fullStr Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
title_full_unstemmed Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
title_short Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
title_sort diagnosing periprosthetic joint infection: has the era of the biomarker arrived?
topic Symposium: 2013 Musculoskeletal Infection Society
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182392/
https://www.ncbi.nlm.nih.gov/pubmed/24590839
http://dx.doi.org/10.1007/s11999-014-3543-8
work_keys_str_mv AT deirmengiancarl diagnosingperiprostheticjointinfectionhastheeraofthebiomarkerarrived
AT kardoskeith diagnosingperiprostheticjointinfectionhastheeraofthebiomarkerarrived
AT kilmartinpatrick diagnosingperiprostheticjointinfectionhastheeraofthebiomarkerarrived
AT cameronalexander diagnosingperiprostheticjointinfectionhastheeraofthebiomarkerarrived
AT schillerkevin diagnosingperiprostheticjointinfectionhastheeraofthebiomarkerarrived
AT parvizijavad diagnosingperiprostheticjointinfectionhastheeraofthebiomarkerarrived