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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Periprosthetic joint infection (PJI) is a rare yet devastating complication following total joint arthroplasty (TJA). Early and accurate diagnosis of PJI is paramount in order to maximize the chances of successful treatment. However, we are yet to identify a single “gold standard” test for the diagnosis of PJI. As a result, the diagnosis of PJI is often challenging. Currently, the 2018 ICM definition of PJI is the only validated diagnostic criteria available. This article will review the importance of serum and synovial biomarkers in the diagnosis of PJI. In addition, it will provide a brief overview of the emerging modalities for the identification of infections in this setting.

Details

Title
Diagnosis of Periprosthetic Joint Infection: The Utility of Biomarkers in 2023
Author
Yilmaz, Mehmet Kursat 1   VIAFID ORCID Logo  ; Abbaszadeh, Ahmad 2 ; Tarabichi, Saad 2 ; Ibrahim Azboy 3 ; Parvizi, Javad 2 

 Rothman Orthopaedic Institute, Thomas Jefferson University, Philadelphia, PA 19107, USA; [email protected] (A.A.); [email protected] (S.T.); [email protected] (J.P.); Department of Orthopaedics and Traumatology, School of Medicine, Istanbul Medipol University, Istanbul 34810, Turkey; [email protected] 
 Rothman Orthopaedic Institute, Thomas Jefferson University, Philadelphia, PA 19107, USA; [email protected] (A.A.); [email protected] (S.T.); [email protected] (J.P.) 
 Department of Orthopaedics and Traumatology, School of Medicine, Istanbul Medipol University, Istanbul 34810, Turkey; [email protected] 
First page
1054
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20796382
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2829694612
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.