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Updated: Jan 26, 2026

Author Spotlight: Advancing Research on Candida albicans Biofilm-Associated Prosthetic Joint Infections
Published on: February 2, 2024
Challenging Diagnostics of Biofilm Associated Periprosthetic Infection in Immunocompromised Patient: A Clinical Case
Zinaida S Naumenko1, Tamara A Silanteva1, Artem M Ermakov1
1Russian Ilizarov Scientific Center for Restorative Traumatology and Orthopaedics, Kurgan, Kurgan Oblast, Russia.
Background:
Periprosthetic joint infection (PJI) is a devastating complication of joint arthroplasty. The identification of microorganisms in biofilm-related PJI is challenging yet significant stage of the treatment process. Medical microbiology methods, such as pure culture isolation, remain the gold standard. However, the error rate of classical methods may vary from 10% to as high as 42% due to the inability to detect bacteria growing within biofilms. Other methods of detection are being explored to improve the management of PJI.
Aim:
Accurate identification of PJI contributing microorganisms in a patient with acute postoperative PJI after total hip joint arthroplasty and systemic lupus erythematosus in anamnesis.
Methods:
We used microbial culture methods followed by scanning electron microscopy (SEM).
Results:
Perioperative an intraoperative cultural analysis of 8 different culture samples of tissue and prosthetic origin was insufficient for bacterial or fungal detection. Scanning electron microscopy revealed detailed biofilm visualisation on the surface of the prosthetic component. The biofilm exterior was composed of microbial clusters made of 10 or more cells with either pear- or bottle-shaped morphology, 3-6 mcm in length and 1.5-3 mcm in diameter. Rod-shaped microorganisms of 0.7-1 mcm length and up to 0.5 mcm in diameter were found adjacent to these clusters.
Conclusion:
Additional methods for PJI agents' detection are time-and cost-effective in the case of the challenging diagnostics of biofilm-related PJI, particularly in immunocompromised patients. Using combined diagnostic approaches increases the accuracy of detection, justifies treatment strategies and improves clinical outcomes.
Insights
Diagnosing biofilm-related periprosthetic joint infection (PJI) is challenging. Scanning electron microscopy (SEM) offers a valuable adjunctive method for visualizing microorganisms when standard cultures fail, improving PJI diagnostics.
Area of Science:
- Medical Microbiology
- Biotechnology
- Materials Science
Background:
- Periprosthetic joint infection (PJI) is a severe complication of joint arthroplasty, with biofilm-related infections posing significant diagnostic challenges.
- Standard microbiological culture methods have limitations in detecting bacteria within biofilms, leading to potential diagnostic errors.
- Accurate identification of causative microorganisms is crucial for effective PJI management, especially in immunocompromised patients.
Observation:
- Microbial culture analysis of tissue and prosthetic samples proved insufficient for detecting bacterial or fungal pathogens in a patient with acute postoperative PJI.
- Scanning electron microscopy (SEM) enabled detailed visualization of biofilm structures on the prosthetic component.
- SEM revealed distinct microbial morphologies within the biofilm, including large clusters and smaller rod-shaped bacteria.
Findings:
- Traditional culture methods failed to identify microorganisms in a challenging case of PJI.
- SEM successfully visualized complex biofilm architecture and diverse microbial morphologies on the prosthetic joint.
- The findings highlight the limitations of standard methods and the utility of advanced imaging in PJI diagnostics.
Implications:
- Integrating advanced imaging techniques like SEM with traditional methods can enhance the accuracy of diagnosing biofilm-related PJI.
- Improved diagnostic accuracy can lead to more targeted treatment strategies and better clinical outcomes for PJI patients.
- This approach is particularly beneficial for immunocompromised individuals where PJI diagnosis and management are more complex.
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