C9 immunostaining as a tissue biomarker for periprosthetic joint infection diagnosis

Ann-Kathrin Meinshausen1, Jacqueline Färber2, Sebastian Illiger1

  • 1Department of Orthopaedic Surgery, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

Abstract

Insights

Culture-negative periprosthetic joint infections (PJI) are often misdiagnosed. C9 immunostaining of periprosthetic tissue shows promise as a reliable biomarker for PJI, improving diagnosis accuracy and reducing unnecessary surgeries.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Immunohistochemistry

Background:

  • Culture-negative periprosthetic joint infections (PJI) pose diagnostic challenges, often leading to misdiagnosis as aseptic implant failure.
  • This misdiagnosis results in unnecessary revision surgeries due to persistent or recurrent infections.
  • A reliable diagnostic marker for PJI is crucial to improve patient outcomes.

Purpose of the Study:

  • To evaluate C9 immunostaining of periprosthetic tissue as a novel biomarker for identifying PJI.
  • To assess the diagnostic accuracy of C9 immunostaining for PJI.
  • To investigate potential cross-reactivity of C9 immunostaining with other inflammatory joint conditions.

Main Methods:

  • A cohort of 98 patients undergoing revision surgery (septic or aseptic) was studied.
  • Periprosthetic tissue was subjected to C9 immunostaining and evaluated.
  • Serum C-reactive protein (CRP) and white blood cell (WBC) counts were analyzed.
  • Tissue samples from patients with rheumatoid arthritis, wear particles, and chondrocalcinosis were used to assess cross-reactivity.

Main Results:

  • C9 immunostaining was significantly increased in periprosthetic tissue from patients with PJI compared to aseptic cases.
  • C9 demonstrated a sensitivity of 89% and a specificity of 75% for PJI detection (AUC 0.84).
  • Cross-reactivity was observed with rheumatoid arthritis and metal wear, but not chondrocalcinosis.

Conclusions:

  • C9 immunostaining of periprosthetic tissue is a promising biomarker for identifying PJI.
  • This method could potentially reduce false-negative PJI diagnoses.
  • Further validation is needed to address observed cross-reactivities.

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