Molecular diagnosis of prosthetic joint infection. A review of evidence

Jirí Gallo1, Milan Raska, Milos Dendis

  • 1Department of Orthopaedics, Teaching Hospital, Olomouc, Czech Republic. jiri.gallo@volny.cz

Insights

Molecular diagnostic techniques like polymerase chain reaction (PCR) show promise for prosthetic joint infection (PJI) diagnosis. However, inconsistent results and methodological issues mean PCR is not yet ready for routine orthopedic use.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Prosthetic joint infection (PJI) diagnosis relies on various methods, with intraarticular purulence and fistulas being key indicators.
  • Current diagnostic approaches often require complex interpretation of combined test results.
  • Molecular techniques, particularly polymerase chain reaction (PCR), offer potential for rapid and accurate PJI detection.

Purpose of the Study:

  • To survey current molecular diagnostic techniques for prosthetic joint infection (PJI) in orthopedics.
  • To assess the potential and limitations of PCR-based methods in PJI diagnosis.

Main Methods:

  • Review of existing literature on molecular diagnostic techniques for PJI.
  • Analysis of studies evaluating the sensitivity, specificity, and predictive value of PCR in PJI diagnosis.
  • Identification of methodological variations and shortcomings in current research.

Main Results:

  • PCR demonstrates high sensitivity, specificity, and positive predictive value in preliminary studies.
  • Significant heterogeneity exists across studies, with some reporting suboptimal performance (sensitivity/specificity < 0.75).
  • Inconsistent laboratory procedures and reference standards contribute to variable results.

Conclusions:

  • Molecular diagnostics, especially PCR, hold promise for PJI detection but require further validation.
  • Current evidence is insufficient to integrate molecular methods into standard PJI diagnostic protocols.
  • The orthopedic community should await results from well-designed ongoing studies before adopting these techniques.

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