Fast and specific detection of staphylococcal PJI with bacteriophage-based methods within 104 sonicate fluid samples

Katja Šuster1, Andrej Cör1,2

  • 1Department of Research, Valdoltra Orthopaedic Hospital, Ankaran, Slovenia.

Insights

New bacteriophage-based methods offer a faster and highly specific way to detect staphylococci in prosthetic joint infections (PJI). These rapid diagnostic tools show promise for improving PJI detection compared to traditional culturing methods.

Area of Science:

  • Microbiology
  • Biotechnology
  • Orthopedic Surgery

Background:

  • Prosthetic joint infection (PJI) is a growing concern with increasing rates of total joint arthroplasties.
  • Current diagnostic methods for PJI lack 100% sensitivity, necessitating improved detection techniques.

Purpose of the Study:

  • To evaluate and compare two bacteriophage K-based detection methods against standard microbiological culturing for staphylococci in suspected PJI cases.
  • To assess the diagnostic performance (sensitivity, specificity, predictive value) and speed of bacteriophage-based assays.

Main Methods:

  • Analysis of sonicate fluid (SF) from 104 patients undergoing revision surgery for suspected PJI.
  • Utilized qPCR for bacteriophage K DNA detection and ATP detection post-bacteriophage K lysis.
  • Compared results with standard microbiological culturing methods.

Main Results:

  • Bacteriophage K-based methods achieved 100% specificity and predictive value for PJI diagnosis.
  • Direct SF analysis showed higher sensitivity with qPCR (81.25%) than ATP detection (62.50%).
  • Sensitivity improved to 94.12% with SF pre-cultivation; results were obtained in 3-4 hours (direct) vs. 19-20 hours (pre-cultivated).

Conclusions:

  • Bacteriophage-based methods are specific, sensitive, and significantly faster than standard culturing for PJI diagnosis.
  • These methods hold potential for developing rapid, economical, and user-friendly PJI diagnostic tools.
  • Expanding bacteriophage libraries could enhance bacterial detection spectrum and diagnostic capabilities.