Comparison of the Diagnostic Performance of Culture, Histopathology, and mNGS for Periprosthetic Joint Infection

Lan Wei1, Yali Yu2, Shaohua Wang3

  • 1Zhengzhou Orthopaedic Hospital, Zhengzhou, People's Republic of China.

PubMed
Abstract

Insights

Metagenomic next-generation sequencing (mNGS) shows potential for diagnosing periprosthetic joint infection (PJI), particularly in difficult cases. However, it did not surpass traditional methods and requires further research before widespread clinical adoption.

Area of Science:

  • Orthopedics
  • Infectious Diseases
  • Microbiology

Background:

  • Periprosthetic joint infection (PJI) poses a significant challenge in orthopedic surgery.
  • Accurate diagnosis is crucial for effective treatment and patient outcomes.
  • Evaluating novel diagnostic tools like Metagenomic next-generation sequencing (mNGS) is essential.

Purpose of the Study:

  • To compare the diagnostic performance of histopathology, culture, and mNGS for periprosthetic joint infection (PJI).
  • To assess the sensitivity, specificity, and predictive values of each method in a prospective patient cohort.

Main Methods:

  • A prospective trial involving 215 patients with suspected knee PJI.
  • Tissue specimens were analyzed using histopathology, microbial culture, and mNGS.
  • Diagnostic accuracy was evaluated using established criteria (MSIS 2011, ICM 2018).

Main Results:

  • Among 58 patients analyzed, mNGS showed 63.2% sensitivity and 80.0% specificity.
  • Culture demonstrated higher specificity (95.0%) and positive predictive value (96.5%).
  • Histopathology had 52.6% sensitivity and 100% specificity; common pathogens identified were *Staphylococcus aureus* and coagulase-negative Staphylococci.

Conclusions:

  • mNGS is a promising adjunctive tool for PJI diagnosis, especially in culture-negative scenarios.
  • Current evidence suggests mNGS does not outperform conventional methods in overall accuracy.
  • Limitations include potential false positives and lack of antimicrobial susceptibility data, necessitating cautious interpretation and further studies.