Bedside identification of subphenotypes in acute respiratory failure (PHIND): a multicentre, observational cohort study.
Summary
Using a near-patient 1-hour immunoassay for IL-6 and sTNFR1 plus bicarbonate, clinicians prospectively classified ARDS/AHRF patients into hyper- and hypoinflammatory subphenotypes. The hyperinflammatory group (18%) had markedly higher 60-day mortality (51% vs 28%; adjusted OR 2.7), validating bedside precision phenotyping.
Key Findings
- Near-patient benchtop assay (≈1 h) measuring IL-6 and sTNFR1 plus bicarbonate enabled real-time ARDS subphenotyping in 490 of 512 enrolled patients.
- Hyperinflammatory phenotype prevalence was 18% and was associated with higher 60-day mortality (51% vs 28%; RR 1.8; adjusted OR 2.7, p=0.0002).
- Clinical characteristics (e.g., sepsis prevalence, metabolic acidosis) aligned with prior retrospective subphenotype descriptions.
Clinical Implications
Hospitals can implement near-patient biomarker panels to stratify ARDS patients by inflammatory phenotype for prognostication and trial enrollment. Until phenotype-specific therapies are validated, results should inform risk communication and targeted monitoring rather than dictate therapy changes.
Why It Matters
This is the first prospective, multicentre demonstration that rapid bedside subphenotyping is feasible and prognostically powerful in ARDS, laying the groundwork for subphenotype-stratified interventional trials.
Limitations
- Observational design precludes causal inference and does not test phenotype-specific therapies.
- Generalizability beyond UK/Ireland health systems and missing biomarker data in a subset (22 not phenotyped) may limit applicability.
Future Directions
Conduct subphenotype-stratified RCTs, validate assay thresholds in diverse settings, and integrate rapid phenotyping into adaptive platform trials.
Study Information
- Study Type
- Cohort
- Research Domain
- Prognosis
- Evidence Level
- II - Prospective multicentre observational cohort with pre-specified prognostic model.
- Study Design
- OTHER