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Identification and validation of robust hospital-acquired pneumonia subphenotypes associated with all-cause mortality: a multi-cohort derivation and validation.

Intensive care medicine2025-04-22PubMed
Total: 80.0Innovation: 8Impact: 0Rigor: 0Citation: 0

Summary

Across four derivation cohorts and an independent RCT dataset, a two-subphenotype model of HAP was reproducible. The higher-risk subphenotype had worse oxygenation and consistently higher 28-day mortality and treatment failure, showed microbiome dysbiosis and elevated cytokines, and demonstrated differential response to tedizolid.

Key Findings

  • A two-cluster HAP model generalized across four derivation cohorts with consistent performance.
  • Subphenotype 2 showed worse PaO2/FiO2, lower temperature, and higher 28-day mortality and test-of-cure failure (p<0.01).
  • Subphenotype 2 was linked to respiratory microbiome dysbiosis, higher proinflammatory cytokines, and differential tedizolid effect in VITAL.

Clinical Implications

Clinicians can use the simplified classifier to identify high-risk HAP patients for closer monitoring and consider phenotype-guided antibiotic strategies in future trials. The findings support designing prospective, phenotype-enriched randomized studies.

Why It Matters

This study delivers externally validated HAP subphenotypes that predict mortality and modify antibiotic efficacy, enabling prognostic and predictive enrichment for precision trials.

Limitations

  • Observational design limits causal inference about treatment effects.
  • Heterogeneity in cohort characteristics and subphenotype prevalence across datasets.

Future Directions

Prospective randomized trials that stratify by HAP subphenotypes to test phenotype-guided therapies and validate predictive enrichment.

Study Information

Study Type
Cohort
Research Domain
Prognosis
Evidence Level
III - Multi-cohort observational derivation and external validation with RCT dataset application
Study Design
OTHER