Lower synovial leucocyte count and polymorphonuclear percentage reliably differentiate periprosthetic joint infection

Stefanie Donner1, Georg Matziolis2, Yves Gramlich3,4

  • 1Center for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Abstract

Insights

This study establishes specific diagnostic thresholds for periprosthetic joint infection (PJI) in unicompartmental knee arthroplasty (UKA) revisions. Synovial fluid biomarkers offer superior accuracy for diagnosing PJI compared to blood tests.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Diagnostic Biomarkers

Background:

  • Periprosthetic joint infection (PJI) is a significant complication following knee arthroplasty.
  • Accurate diagnosis of PJI in revision unicompartmental knee arthroplasty (UKA) is challenging.
  • Existing diagnostic criteria may not be optimal for UKA revisions.

Purpose of the Study:

  • To determine optimal diagnostic thresholds for synovial fluid leucocyte count and polymorphonuclear (PMN) percentage in failed UKAs.
  • To evaluate the diagnostic performance of these biomarkers for identifying periprosthetic joint infection (PJI).
  • To compare the efficacy of synovial fluid analysis versus serum markers (CRP, WBC) for PJI diagnosis in UKA revisions.

Main Methods:

  • A multicentre retrospective cohort study of 239 patients undergoing UKA revision.
  • Patients were classified into periprosthetic joint infection (PJI) (n=30) or non-infectious (n=209) groups.
  • Diagnostic performance of synovial fluid leucocyte count, PMN percentage, serum CRP, and WBC count was assessed using ROC curves and Youden's index.

Main Results:

  • Significantly higher synovial leucocyte counts and PMN percentages were observed in the PJI group compared to the non-PJI group (p < 0.001).
  • Optimal diagnostic cut-offs were identified: synovial fluid leucocyte count ≥ 2318/μL (AUC 0.93) and PMN percentage ≥ 64% (AUC 0.90).
  • Synovial biomarkers demonstrated superior diagnostic accuracy (sensitivity 83%, specificity 95% for leucocyte count; sensitivity 76%, specificity 95% for PMN percentage) compared to serum CRP and WBC count.

Conclusions:

  • This study provides UKA-specific diagnostic thresholds for periprosthetic joint infection (PJI), aligning with European Bone and Joint Infection Society (EBJIS) criteria.
  • Synovial fluid leucocyte count and PMN percentage are highly accurate biomarkers for diagnosing PJI in UKA revisions.
  • Tailored diagnostic criteria using synovial biomarkers are crucial for improving PJI diagnosis accuracy and guiding clinical decisions in UKA revision surgery.