Microbiologic epidemiology depending on time to occurrence of prosthetic joint infection: a prospective cohort study

C Triffault-Fillit1, T Ferry2, F Laurent3

  • 1Centre de référence interrégional pour la prise en charge des infections ostéo-articulaires complexes (CRIOAc Lyon), Lyon, France; Service des maladies infectieuses et tropicales, Hôpital de la Croix-Rousse, Lyon, France.

Abstract

Insights

Empirical broad-spectrum beta-lactam use in prosthetic joint infection (PJI) may be reconsidered for late-stage cases. Gram-negative bacilli are less common in late PJI, suggesting tailored antimicrobial strategies are needed.

Area of Science:

  • Orthopedics
  • Infectious Diseases
  • Microbiology

Background:

  • Prosthetic joint infection (PJI) presents diverse microbiology, complicating empirical antibiotic selection.
  • Current guidelines recommend vancomycin with a broad-spectrum beta-lactam, despite potential risks and varying pathogen prevalence.

Purpose of the Study:

  • To investigate the microbiological epidemiology of PJI based on infection timing.
  • To inform empirical antimicrobial therapy choices for PJI.

Main Methods:

  • Prospective cohort study conducted from 2011-2016.
  • Evaluated 567 PJI cases, categorizing them by time from implantation: early (<3 months), delayed (3-12 months), and late (>12 months).
  • Analyzed microbiological etiology based on infection chronology and acquisition mechanism.

Main Results:

  • Staphylococcus aureus and coagulase-negative staphylococci were prevalent, with high rates of methicillin resistance.
  • Enterobacteriaceae were significantly less common in late PJI (3.8%) compared to early/delayed PJI (17.2%).
  • Anaerobes, particularly Cutibacterium acnes, were more prevalent in late PJI (21.9%).

Conclusions:

  • The prevalence of Gram-negative bacilli (GNB) in late PJI is low.
  • Reconsideration of empirical broad-spectrum beta-lactam use is warranted for late PJI, especially in two-stage exchange procedures.
  • Tailored antimicrobial strategies based on infection timing may optimize PJI treatment.

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