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Author Spotlight: Advancing Research on Candida albicans Biofilm-Associated Prosthetic Joint Infections
Published on: February 2, 2024
Culture-negative periprosthetic joint infections
Jeya Palan1, Ciaran Nolan1, Kostas Sarantos1
1Leeds Teaching Hospitals NHS Trust, Chapel Allerton Hospital, Leeds, UK.
Diagnosing culture-negative periprosthetic joint infections (CN-PJI) is challenging. This review outlines accessible diagnostic methods and a clinical algorithm to improve CN-PJI identification, aiding patient management.
Area of Science:
- Orthopedic Surgery
- Infectious Diseases
- Medical Diagnostics
Background:
- Culture-negative periprosthetic joint infections (CN-PJI) present diagnostic and management difficulties, with an incidence of 7-15%.
- Fungi and mycobacteria are implicated in over 85% of CN-PJI cases, alongside fastidious bacteria.
- Advanced molecular techniques for pathogen identification are often inaccessible and expensive.
Purpose of the Study:
- To review current diagnostic tests for CN-PJI.
- To provide a straightforward clinical algorithm for diagnosing CN-PJI.
- To assist surgeons in maximizing diagnostic accuracy for PJI and identifying causative organisms.
Main Methods:
- Literature review of diagnostic tests for CN-PJI.
- Synthesis of information on established and emerging diagnostic modalities.
- Development of a simplified clinical algorithm for CN-PJI diagnosis.
Main Results:
- Several straightforward, low-cost methods can aid in CN-PJI diagnosis.
- Advanced techniques like PCR and NGS offer potential but face accessibility and cost barriers.
- A practical diagnostic algorithm is proposed to guide clinicians.
Conclusions:
- Accessible diagnostic strategies are crucial for managing CN-PJI effectively.
- The proposed algorithm can improve the identification of causative pathogens in CN-PJI.
- Further research into cost-effective diagnostic tools for CN-PJI is warranted.
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