Low sensitivity of periprosthetic tissue PCR for prosthetic knee infection diagnosis

Seong Yeol Ryu1, Kerryl E Greenwood-Quaintance1, Arlen D Hanssen2

  • 1Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.

Insights

A rapid PCR test for prosthetic joint infection (PJI) showed low sensitivity when used on periprosthetic tissues. Tissue PCR is not a reliable diagnostic tool for PJI compared to traditional cultures.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Prosthetic joint infection (PJI) is a serious complication of arthroplasty.
  • Accurate and rapid diagnosis of PJI is crucial for effective treatment.
  • Previous work developed a PCR panel for bacteria in PJI biofilms.

Purpose of the Study:

  • To evaluate the diagnostic performance of a rapid PCR panel targeting PJI bacteria in periprosthetic tissues.
  • To compare the sensitivity of periprosthetic tissue PCR with conventional culture methods.

Main Methods:

  • A rapid PCR panel was tested on periprosthetic tissue samples from 95 patients undergoing knee arthroplasty.
  • Conventional tissue, synovial fluid, and sonicate fluid cultures were performed.
  • PCR was also performed on sonicate fluid from a subset of explanted devices.

Main Results:

  • The sensitivity of periprosthetic tissue PCR for PJI diagnosis was 16%.
  • Tissue PCR sensitivity was significantly lower than tissue culture (69%), synovial fluid culture (72%), sonicate fluid culture (77%), and sonicate fluid PCR (78%).
  • One case showed positive tissue PCR with negative tissue cultures, highlighting a discrepancy.

Conclusions:

  • Periprosthetic tissue PCR, as applied in this study, demonstrates poor sensitivity for diagnosing prosthetic joint infection.
  • Conventional culture methods, particularly sonicate fluid analysis, remain more sensitive for PJI detection.
  • Further optimization or alternative sample types are needed for PCR-based PJI diagnostics.

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