ArticleAnnals of intensive care2025
Omics approach to chest electrical impedance tomography reveals physiological cluster of ARDS characterised by increased respiratory drive and effort.
Article in Annals of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Beyond Berlin: The multidimensional evolution of ARDS in the era of precision critical care.Journal of intensive medicine · 2026Article
- Electrical impedance tomography-derived flow index during spontaneous breathing trial stratifies the risk of reintubation within 48 h after extubation.Critical care (London, England) · 2026Observational
- Identification of physiological clusters in acute hypoxemic respiratory failure patients undergoing non-invasive respiratory support using EIT-based t-SNE and spectral clustering.Intensive care medicine experimental · 2026Article
- Extracorporeal Carbon Dioxide Removal in Acute Respiratory Distress Syndrome: Physiologic Rationale and Phenotype-Based Perspectives.Medicina (Kaunas, Lithuania) · 2026Review
- Clinical Phenotyping in Acute Respiratory Distress Syndrome: Steps Towards Personalized Medicine.Journal of clinical medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundNon-invasive assessment of respiratory drive and effort in spontaneously breathing ARDS patients is challenging, yet clinically relevant. We explored whether hierarchical clustering applied to electrical impedance tomography (EIT- a radiation-free non-invasive lung imaging technique) identifies ARDS sub-phenotypes with increased drive and effort.
resultsThirty intubated patients with ARDS on assisted mechanical ventilation were monitored by EIT and esophageal pressure during a decremental positive end-expiratory pressure (PEEP) trial. A comprehensive EIT assessment was made (computed variables n = 180) during tidal breathing at different PEEP levels. Agglomerative nesting was applied to scaled data distances. Three clusters of ARDS were identified: inhomogeneous ventilation, unmatched V'/Q, and mismatched V'/Q. The unmatched V'/Q cluster had the highest respiratory drive (p = 0.045) and effort (p = 0.021) at lower PEEP, and experienced longer length of ICU stay (p = 0.019).
conclusionsHigher PEEP levels reduced drive of the unmatched V'/Q cluster, mitigating the physiological differences. Clustering approaches to EIT data identify physiologically and clinically relevant sub-phenotypes of ARDS.
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