Identification of a robust metabolic signature associated with hospital-acquired pneumonia and response to interferon-gamma treatment in critically ill patients
Authors' conclusion
Longitudinal clustering classified metabolic response patterns into low-, moderate-, and high-risk groups for HAP and can help identify responders and non-responders to interferon gamma-1b after a single treatment injection.
Study context
- Population
- Critically ill brain-injured patients in two French centres; replication in PREV-HAP trial patients (interferon gamma-1b for hospital-acquired pneumonia (HAP) prevention)330 samples analysed
- Participants
- 128 patients
- Comparison
- Low- vs moderate- vs high-risk metabolic response patterns
- Primary endpoint
- Association of metabolic response patterns with HAP
Methodological detailstwo-centre, unsupervised longitudinal consensus clustering, Fast-and-Frugal Tree replication
- Two-centre
- Unsupervised longitudinal consensus clustering
- Fast-and-Frugal Tree replication
Primary result
As reported in the abstract
HAP, discovery cohort
- HAP overall
- 57 (45%)
Further findings
ARDS, discovery cohort
HAP, replication dataset (315 samples, 105 patients)
- Acute respiratory distress syndrome (ARDS), discovery cohort — ARDS overall
- 21 (16%)
Discharge alive from ICU with interferon gamma-1b (replication)
- Probability decreased in low-risk and increased in high-risk metabolic response patterns
Original publication
Identification of a robust metabolic signature associated with hospital-acquired pneumonia and response to interferon-gamma treatment in critically ill patients. Crit Care. Published 12 March 2026. doi:10.
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