Ventilator-associated pneumonia (VAP) remains the most common hospital-acquired infection worldwide, affecting up to 40% of mechanically ventilated patients and contributing to increased morbidity, prolonged hospital stays, and high mortality rates. Standard prevention strategies rely on VAP prevention "bundles", which focus on general supportive care measures such as head-of-bed elevation, sedation interruption, and oral care. While these measures reduce some risk, they do not specifically target the underlying microbial mechanisms driving VAP.
Emerging evidence supports the use of inhaled antibiotic (iABx) prophylaxis to suppress or eliminate airway pathogens. Several randomized controlled trials have shown that inhaled antimicrobials can reduce the incidence of VAP. However, the effectiveness of this approach is inconsistent when applied to all ventilated patients. Studies indicate that the greatest benefit occurs when inhaled antimicrobials are targeted toward patients with airway colonization by specific VAP pathogens.
Traditional airway microbiome diagnostics have been a major barrier to implementing targeted prophylaxis because they are slow, costly, and require advanced expertise. Recently, a novel diagnostic method-ON-Time rapid microbiome sequencing-has been developed, offering accurate, cost-effective, and rapid (approximately 4.2 hours) results that can identify key VAP pathogens within the airway microbiome of ICU patients such as Enterobacteriaceae organisms, Pseudomonas spp., Acinetobacter spp., Stenotrophomonas maltophilia, Staphylococcus aureus, and others. The ability to define the airway microbiome of ICU patients including whether they harbour potential VAP pathogens provides a unique opportunity to tailor prophylactic antibiotics in a personalized and timely manner.
Thus, microbiome-guided prophylaxis represents a novel precision medicine approach to preventing VAP by selecting the right patient. This pilot trial aims to test the feasibility of implementing such an approach to prevent VAP in critically ill patients.