ORIGINAL RESEARCH article
Front. Cell. Infect. Microbiol.
Sec. Clinical Infectious Diseases
Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1597401
This article is part of the Research TopicExploring Clinical Outcomes and Treatment Predictors in Septic ArthritisView all 3 articles
The Role of Ratio Markers Based on Prealbumin in the Diagnosis of Periprosthetic Joint Infection
Provisionally accepted- 1People's Hospital of Zhengzhou University, Zhengzhou, China
- 2Xinxiang Medical University, Xinxiang, Henan Province, China
- 3The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
- 4The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Background: Periprosthetic joint infection (PJI) is a severe complication following total joint arthroplasty, and the timeliness of its diagnosis and treatment is crucial for patient recovery. Although various biomarkers have been extensively evaluated and applied in clinical practice, the diagnosis of PJI remains challenging. Therefore, it is necessary to identify more precise biomarkers for the diagnosis of PJI. This study aims to investigate the value of ratio-based biomarkers using prealbumin (PA) for the diagnosis of PJI. Methods: This study compared the levels of C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), fibrinogen (FIB), PA, CRP/PA (CPR), ESR/PA (EPR), FIB/PA (FPR), and the combined ratio of CPR+EPR+FPR(CEF) in 180 patients with PJI and 105 patients with aseptic loosening (AL) who presented at our department from January 2019 to December 2024. The diagnostic efficacy of these markers in PJI diagnosis was assessed using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve.Results: Among these biomarkers, CPR has the highest AUC of 0.921 (95%CI 0.890-0.952), and it can distinguish PJI with a cut-off value of 0.0366, a sensitivity of 76.1%, and a specificity of 95.2%. In the diabetic subgroup, the combined biomarker CEF has an AUC of 0.951 for diagnosing PJI, with a sensitivity of 88.9% and a specificity of 94.4%. Conclusion: Ratio-based markers based on PA show promise as valuable new adjunctive diagnostic markers for PJI.
Keywords: periprosthetic joint infection, Prealbumin, Aseptic loosening, marker, diabetes
Received: 21 Mar 2025; Accepted: 24 Jun 2025.
Copyright: © 2025 Cao, Ning, Fan, Cheng, Zhang, Cheng and Dai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Cheng Cheng, People's Hospital of Zhengzhou University, Zhengzhou, China
Zhipeng Dai, People's Hospital of Zhengzhou University, Zhengzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.