Data-driven subphenotyping of severe ARDS patients requiring VV-ECMO - Report - MDSpire

Data-driven subphenotyping of severe ARDS patients requiring VV-ECMO

  • By

  • Micha Landoll

  • Stephan Strassmann

  • Wolfram Windisch

  • Ulrich Steinseifer

  • Andreas Schuppert

  • Michael Neidlin

  • Christian Karagiannidis

  • July 3, 2026

  • 0 min

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Clinical Report: Identification of Distinct Subphenotypes in Severe ARDS Patients

Overview

This study identifies distinct subphenotypes in severe acute respiratory distress syndrome (ARDS) patients undergoing veno-venous extracorporeal membrane oxygenation (VV-ECMO) using data-driven clustering techniques. Key findings indicate significant differences in clinical outcomes based on inflammatory, renal, and hepatic dysfunctions among the identified subphenotypes, with survival rates of 32% and 21% in specific clusters.

Background

Acute respiratory distress syndrome (ARDS) presents a high mortality rate, often exceeding 50% in patients requiring VV-ECMO. The heterogeneity of ARDS complicates risk stratification and treatment monitoring, necessitating a refined approach to patient management. Identifying subphenotypes can enhance treatment strategies.

Data Highlights

ParameterCluster 1Cluster 2Cluster 3
Survival Rate32%21%Data not specified
ICU Length of StayLongerShorterVaried

Key Findings

  • Cluster analysis revealed distinct ARDS subphenotypes based on inflammation, renal/liver function, and coagulation parameters.
  • Survival rates varied significantly among clusters, particularly influenced by kidney/liver function.
  • Subphenotypes defined by ECMO or ventilator settings showed smaller differences in outcomes.
  • Clusters with multi-organ dysfunction had longer ICU stays.
  • Key differentiating parameters included procalcitonin, C-reactive protein, creatinine, and urea levels.

Clinical Implications

The identification of ARDS subphenotypes can inform risk stratification and management strategies in patients undergoing VV-ECMO.

Conclusion

Data-driven clustering of clinical parameters identifies ARDS subphenotypes in VV-ECMO patients, highlighting the importance of renal, hepatic, and inflammatory dysfunctions in survival outcomes.

Related Resources & Content

  1. Calfee, C. S., et al., Critical Care, 2025 -- Subphenotypes of mechanically ventilated acute respiratory distress syndrome patients based on multi-dimensional pathophysiological parameters
  2. Nishikimi, M., et al., Intensive Care Medicine, 2023 -- ECMO Survival Prediction: Implementing Deep Learning Models in Venoarterial Extracorporeal Membrane Oxygenation
  3. Critical Care, 2026 -- Subphenotypes of Morphological Characteristics in Acute Respiratory Distress Syndrome Associated with Acute Pancreatitis
  4. Intensive Care Medicine, 2026 -- Beyond binary: rethinking subphenotyping in ARDS as a continuous spectrum
  5. American Thoracic Society Journals, 2023 -- ARDS Guidelines Update
  6. Subphenotypes in acute respiratory distress syndrome: A scoping review
  7. Extracorporeal membrane oxygenation without invasive mechanical ventilation for ARDS
  8. American Thoracic Society Journals | Oxford Academic

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