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Periprosthetic Joint Infection: Modern Diagnostic Markers and Their Limitations
Adeolu Badejo1, Michael O Kolade2, Abiodun C Adegbesan3
1Orthopaedic Surgery, Royal Victoria Infirmary, Newcastle upon Tyne, GBR.
Diagnosing periprosthetic joint infections (PJIs) after joint arthroplasty remains challenging. A multi-modal approach combining clinical assessment with advanced biomarkers and molecular assays offers the most promising strategy for accurate PJI diagnosis.
Area of Science:
- Orthopedic Surgery
- Infectious Diseases
- Medical Diagnostics
Background:
- Joint arthroplasty (JA) significantly improves quality of life but carries the risk of periprosthetic joint infections (PJIs).
- PJIs lead to substantial morbidity, high costs, and increased mortality.
- Accurate and early PJI diagnosis is challenging due to overlapping symptoms and lack of definitive markers.
Purpose of the Study:
- To review and evaluate current diagnostic markers for periprosthetic joint infections (PJIs).
- To assess the diagnostic performance of traditional, synovial fluid, and molecular markers.
- To explore future advancements in PJI diagnostics.
Main Methods:
- Comprehensive literature search of systematic reviews, meta-analyses, and diagnostic accuracy studies.
- Evaluation of serum inflammatory markers (CRP, ESR).
- Assessment of synovial fluid biomarkers (leukocyte esterase, alpha-defensin, calprotectin) and molecular diagnostics (PCR, NGS).
Main Results:
- Traditional serum markers have lower sensitivity for chronic/low-grade infections.
- Synovial fluid biomarkers show improved diagnostic performance but face limitations in cost and standardization.
- Molecular diagnostics offer potential for detecting difficult organisms but are limited by cost and complexity.
Conclusions:
- A multi-modal diagnostic approach is recommended, integrating clinical assessment with various biomarkers.
- Standardization of diagnostic thresholds and improved accessibility of point-of-care tools are crucial.
- AI-enhanced models hold promise for improving diagnostic confidence and patient outcomes.
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