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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
Qianqian  CaoQianqian Cao1Xinchuang  NingXinchuang Ning2Panlong  FanPanlong Fan1Tianmiao  ChengTianmiao Cheng3Yuzhe  ZhangYuzhe Zhang4Cheng  ChengCheng Cheng1*Zhipeng  DaiZhipeng Dai1*
  • 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

The final, formatted version of the article will be published soon.

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

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