The Ongoing Struggle to Find a Gold Standard for PJI Diagnosis

Emanuel-Cristian Sandu1,2, Catalin Cirstoiu1,2, Sergiu Iordache1,2

  • 1Department of Orthopedics and Traumatology, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania.

Reports (MDPI)
|September 22, 2025
PubMed

Insights

Diagnosing periprosthetic joint infection (PJI) remains challenging. Current multi-criteria protocols combine clinical, paraclinical, and molecular data, but novel detection technologies are needed to improve biomarker accuracy for PJI diagnosis.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Biomarker Discovery

Background:

  • Periprosthetic joint infection (PJI) is a severe complication of joint arthroplasty.
  • Accurate diagnosis of PJI is critical due to significant patient and healthcare costs associated with misdiagnosis.
  • No single diagnostic test currently meets gold standard requirements for PJI detection.

Purpose of the Study:

  • To review current diagnostic techniques and technologies for PJI.
  • To evaluate the accuracy of various biomarkers (serum, synovial, tissue) and molecular methods.
  • To identify limitations and future directions for PJI diagnostics.

Main Methods:

  • Systematic review of diagnostic techniques for PJI.
  • Analysis of serum biomarkers: C-reactive protein, Interleukin-6, procalcitonin, D-dimers, ICAM-1.
  • Evaluation of synovial biomarkers: antimicrobial peptides, lipocalin-2, leukocyte esterase, calprotectin.
  • Assessment of tissue biomarkers: Toll-like receptors, CD15.
  • Review of molecular techniques: Polymerase Chain Reaction (PCR), Metagenomic Next-Generation Sequencing (mNGS).

Main Results:

  • Multi-criteria diagnostic protocols integrating clinical, paraclinical, and molecular findings enhance PJI diagnostic accuracy.
  • Various biomarkers show promise but have limitations in sensitivity and specificity.
  • Advanced molecular techniques like mNGS offer potential for pathogen identification but require further validation.

Conclusions:

  • Current diagnostic approaches for PJI rely on combined criteria due to the lack of a definitive gold standard test.
  • Further development of novel detection technologies is essential to enhance the accuracy and efficiency of PJI biomarkers.
  • Future research should focus on improving biomarker performance and integrating advanced molecular diagnostics for reliable PJI detection.

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