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Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations

AIMS: The diagnosis of periprosthetic joint infection (PJI) can be challenging as the symptoms are similar to other conditions, and the markers used for diagnosis have limited sensitivity and specificity. Recent research has suggested using blood cell ratios, such as platelet-to-volume ratio (PVR) a...

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Autores principales: Denyer, Steven, Eikani, Carlo, Sheth, Monica, Schmitt, Daniel, Brown, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Editorial Society of Bone & Joint Surgery 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659814/
https://www.ncbi.nlm.nih.gov/pubmed/37984446
http://dx.doi.org/10.1302/2633-1462.411.BJO-2023-0094.R1
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author Denyer, Steven
Eikani, Carlo
Sheth, Monica
Schmitt, Daniel
Brown, Nicholas
author_facet Denyer, Steven
Eikani, Carlo
Sheth, Monica
Schmitt, Daniel
Brown, Nicholas
author_sort Denyer, Steven
collection PubMed
description AIMS: The diagnosis of periprosthetic joint infection (PJI) can be challenging as the symptoms are similar to other conditions, and the markers used for diagnosis have limited sensitivity and specificity. Recent research has suggested using blood cell ratios, such as platelet-to-volume ratio (PVR) and platelet-to-lymphocyte ratio (PLR), to improve diagnostic accuracy. The aim of the study was to further validate the effectiveness of PVR and PLR in diagnosing PJI. METHODS: A retrospective review was conducted to assess the accuracy of different marker combinations for diagnosing chronic PJI. A total of 573 patients were included in the study, of which 124 knees and 122 hips had a diagnosis of chronic PJI. Complete blood count and synovial fluid analysis were collected. Recently published blood cell ratio cut-off points were applied to receiver operating characteristic curves for all markers and combinations. The area under the curve (AUC), sensitivity, specificity, and positive and negative predictive values were calculated. RESULTS: The results of the analysis showed that the combination of ESR, CRP, synovial white blood cell count (Syn. WBC), and polymorphonuclear neutrophil percentage (PMN%) with PVR had the highest AUC of 0.99 for knees, with sensitivity of 97.73% and specificity of 100%. Similarly, for hips, this combination had an AUC of 0.98, sensitivity of 96.15%, and specificity of 100.00%. CONCLUSION: This study supports the use of PVR calculated from readily available complete blood counts, combined with established markers, to improve the accuracy in diagnosing chronic PJI in both total hip and knee arthroplasties. Cite this article: Bone Jt Open 2023;4(11):881–888.
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spelling pubmed-106598142023-11-21 Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations Denyer, Steven Eikani, Carlo Sheth, Monica Schmitt, Daniel Brown, Nicholas Bone Jt Open Knee AIMS: The diagnosis of periprosthetic joint infection (PJI) can be challenging as the symptoms are similar to other conditions, and the markers used for diagnosis have limited sensitivity and specificity. Recent research has suggested using blood cell ratios, such as platelet-to-volume ratio (PVR) and platelet-to-lymphocyte ratio (PLR), to improve diagnostic accuracy. The aim of the study was to further validate the effectiveness of PVR and PLR in diagnosing PJI. METHODS: A retrospective review was conducted to assess the accuracy of different marker combinations for diagnosing chronic PJI. A total of 573 patients were included in the study, of which 124 knees and 122 hips had a diagnosis of chronic PJI. Complete blood count and synovial fluid analysis were collected. Recently published blood cell ratio cut-off points were applied to receiver operating characteristic curves for all markers and combinations. The area under the curve (AUC), sensitivity, specificity, and positive and negative predictive values were calculated. RESULTS: The results of the analysis showed that the combination of ESR, CRP, synovial white blood cell count (Syn. WBC), and polymorphonuclear neutrophil percentage (PMN%) with PVR had the highest AUC of 0.99 for knees, with sensitivity of 97.73% and specificity of 100%. Similarly, for hips, this combination had an AUC of 0.98, sensitivity of 96.15%, and specificity of 100.00%. CONCLUSION: This study supports the use of PVR calculated from readily available complete blood counts, combined with established markers, to improve the accuracy in diagnosing chronic PJI in both total hip and knee arthroplasties. Cite this article: Bone Jt Open 2023;4(11):881–888. The British Editorial Society of Bone & Joint Surgery 2023-11-21 /pmc/articles/PMC10659814/ /pubmed/37984446 http://dx.doi.org/10.1302/2633-1462.411.BJO-2023-0094.R1 Text en © 2023 Denyer et al. https://creativecommons.org/licenses/by-nc-nd/4.0/https://online.boneandjoint.org.uk/TDMThis is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND 4.0) licence, which permits the copying and redistribution of the work only, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Knee
Denyer, Steven
Eikani, Carlo
Sheth, Monica
Schmitt, Daniel
Brown, Nicholas
Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
title Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
title_full Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
title_fullStr Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
title_full_unstemmed Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
title_short Diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
title_sort diagnosing periprosthetic joint infection: a validation study of blood cell ratio combinations
topic Knee
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659814/
https://www.ncbi.nlm.nih.gov/pubmed/37984446
http://dx.doi.org/10.1302/2633-1462.411.BJO-2023-0094.R1
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