Application of BioFire FilmArray Blood Culture Identification panel for rapid identification of the causative agents

M R Pulido1, P Moreno-Martínez1, V González-Galán1

  • 1Clinical Unit of Infectious Diseases, Clinical Microbiology and Preventive Medicine, Seville, Spain.

Abstract

Insights

The BioFire FilmArray Blood Culture Identification (BCID) panel can quickly identify pathogens causing ventilator-associated pneumonia (VAP). This rapid detection of Gram-negative bacteria aids in optimizing patient treatment.

Area of Science:

  • Medical Microbiology
  • Infectious Diseases
  • Clinical Diagnostics

Background:

  • Late-onset ventilator-associated pneumonia (VAP) is a severe infection often caused by multidrug-resistant Gram-negative bacteria.
  • Empiric broad-spectrum antibiotic treatment is typically required for VAP, increasing the risk of resistance.
  • Rapid and accurate pathogen identification is crucial for effective VAP management.

Purpose of the Study:

  • To evaluate the BioFire FilmArray Blood Culture Identification (BCID) panel for rapid detection of VAP pathogens.
  • To assess the panel's performance in identifying common Gram-negative bacteria responsible for VAP.
  • To determine the clinical utility of the BCID panel in optimizing VAP treatment.

Main Methods:

  • An international multicentre clinical trial (MagicBullet) was conducted across 32 hospitals in Spain, Greece, and Italy.
  • Respiratory samples were collected from 165 patients with suspected VAP.
  • Microorganism identification was performed using the BCID panel and compared to conventional microbiologic techniques.

Main Results:

  • Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae were the most frequent pathogens (54.7%).
  • The BCID panel demonstrated high specificity (98.1%) and negative predictive value (96.6%).
  • Sensitivity was 78.6% and positive predictive value was 87.3% for these key microorganisms, with results available in 1 hour.

Conclusions:

  • The BCID panel shows clinical utility in rapidly ruling out VAP-causing microorganisms, particularly multidrug-resistant Gram-negative species.
  • Faster identification can facilitate the optimization of empiric antimicrobial therapy for VAP.
  • The panel's speed and accuracy support its use in managing VAP in intensive care settings.

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