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Updated: May 5, 2026

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Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
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Blood Cell Ratio Combinations for Diagnosing Periprosthetic Joint Infections: A Preliminary Study
Yali Yu1, Yanan Wen2, Jiaxuan Xia3
1Department of Clinical Laboratory, Zhengzhou Orthopaedic Hospital, Zhengzhou, People's Republic of China.
Infection and Drug Resistance
|February 6, 2025
Summary
Platelet-to-albumin ratio (PAR) and CRP-to-albumin ratio (CAR) show promise as effective biomarkers for diagnosing periprosthetic joint infection (PJI). Combining PAR with CRP and ESR significantly improved diagnostic accuracy in this study.
Area of Science:
- Orthopedics
- Infectious Diseases
- Biomarkers
Background:
- Periprosthetic joint infection (PJI) is a severe complication of total joint arthroplasty (TJA).
- Accurate diagnosis of PJI is crucial for effective management.
- Optimal combinations of inflammatory biomarkers for PJI diagnosis are not well-established.
Purpose of the Study:
- To evaluate the diagnostic performance of various preoperative inflammatory biomarkers for PJI.
- To identify the most effective biomarker combination for improving PJI diagnostic accuracy.
Main Methods:
- A prospective, multi-center study involving 269 patients undergoing revision arthroplasty.
- Patients were classified into PJI (n=93) and aseptic failure (AF) (n=176) groups using 2018 ICM PJI criteria.
- Analysis of biomarkers including CRP, ESR, NLR, CAR, CALLR, PLR, PAR, and NAR, with evaluation by ROC analysis and Youden index.
Main Results:
- Platelet-to-albumin ratio (PAR) and CRP-to-albumin ratio (CAR) were significantly higher in the PJI group (P < 0.05).
- PAR (AUC=0.779) and CAR (AUC=0.718) demonstrated high diagnostic values.
- Combining PAR with CRP and ESR improved sensitivity to 93.8% and specificity to 92.5%.
Conclusions:
- PAR and CAR are effective combined inflammatory biomarkers for PJI diagnosis.
- Other analyzed markers showed limited diagnostic utility for PJI.
- Further research may explore optimal biomarker combinations for PJI.

