Respiratory failure & ventilation
Omics approach to chest electrical impedance tomography reveals physiological cluster of ARDS characterised by increased respiratory drive and effort
Authors' conclusion
Clustering approaches to EIT data identify physiologically and clinically relevant sub-phenotypes of ARDS.
Study context
- Population
- Intubated ARDS patients on assisted mechanical ventilation
- Participants
- 30 patients
- Exposure
- Inhomogeneous ventilation vs Unmatched V'/Q vs Mismatched V'/Q
- Outcome
- ARDS sub-phenotypes with increased respiratory drive and effort identified by hierarchical clustering of EIT data
Methodological detailsagglomerative nesting, decremental positive end-expiratory pressure (PEEP) trial, EIT and esophageal pressure monitoring
- Agglomerative nesting
- Decremental PEEP trial
- EIT and esophageal pressure monitoring
Main finding
As reported in the abstract
ARDS clusters identified
- Unmatched V'/Q cluster had highest respiratory drive at lower PEEP
- p = 0.045
- Unmatched V'/Q cluster had highest effort at lower PEEP
- p = 0.021
Observational data: associations, not effects.
Further findings
ICU LOS
- Longer ICU LOS in unmatched V'/Q cluster
- P = 0.019
Effect of higher PEEP
- Higher PEEP reduced drive of unmatched V'/Q cluster, mitigating physiological differences
Original publication
Omics approach to chest electrical impedance tomography reveals physiological cluster of ARDS characterised by increased respiratory drive and effort. Ann Intensive Care. Published 8 July 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →