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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.
Abstract:
Periprosthetic joint infection (PJI) is a devastating complication of joint arthroplasty surgery that is difficult to both diagnose and treat. Misdiagnosing a prosthetic infection has terrible consequences for both the patient and healthcare system. No currently used diagnostic test fulfills the requirements to be considered a gold standard. This shortcoming has been overcome through the implementation of multi-criteria diagnostic protocols elaborated by societies including the Infectious Diseases Society of America, International Consensus Meeting and European Bone and Joint Infection Society, using a combination of clinical, paraclinical and molecular findings in order to achieve the best accuracy in diagnosing PJI. This review aims to survey the current state of the techniques and technologies used for the diagnosis of PJI, investigating the accuracies of serum biomarkers (e.g., C-reactive protein, Interleukin-6, procalcitonin, D-dimers, Serum Intercellular Adhesion Molecule-1), synovial biomarkers (e.g., Antimicrobial peptides, lipocalin-2, leukocyte esterase, calprotectin), tissue biomarkers (e.g., Toll-like receptors, CD15) and advanced molecular techniques (e.g., Polymerase chain reaction, Metagenomic next-generation sequencing), as well as describing their ongoing limitations. In the search for an accurate, inexpensive and fast diagnostic test for PJI, we conclude that the accuracies of the currently studied biomarkers could be further enhanced through the development of novel detection technologies.
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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