ArticleCritical care (London, England)2021
Identification of distinct clinical phenotypes of acute respiratory distress syndrome with differential responses to treatment.
Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Driving pressure-limited ventilation strategies versus conventional lung protective ventilation strategies for patients with ARDS/ARF: a systematic review and meta-analysis of randomized controlled trials.Critical care (London, England) · 2025Pooled it
- A systematic review of machine learning models for management, prediction and classification of ARDS.Respiratory research · 2024Pooled it
- Longitudinal phenotypes in patients with acute respiratory distress syndrome: a multi-database study.Critical care (London, England) · 2022Trial
- The Acute Respiratory Distress Syndrome (ARDS): epidemiology, etiology, molecular mechanisms, diagnosis and therapeutic strategies.Molecular biomedicine · 2026Review
- Machine learning-based precision subtyping and risk prediction in sepsis: a retrospective analysis using MIMIC-IV database.BMC infectious diseases · 2026Article
- EIT-based ventilation phenotypes of left-to-right asymmetry and ventral-to-dorsal center in PEEP titration in ARDS.Respiratory research · 2026Article
- Nanomedicine for Acute Respiratory Distress Syndrome: From Pathophysiological Mechanisms and Disease Heterogeneity to Precision Therapy.International journal of nanomedicine · 2026Review
- Inflammatory phenotypes in acute respiratory distress syndrome: external validation and model simplification in multicenter cohorts.Frontiers in medicine · 2026Article
- Data-driven subphenotyping of severe ARDS patients requiring VV-ECMO.Frontiers in digital health · 2026Article
- Exploring the association of mechanical power with mortality and phenotypes among patients with acute respiratory distress syndrome: a retrospective analysis.Frontiers in medicine · 2026Article
- Beyond the PaOAnnals of intensive care · 2026Review
- Clinical Phenotyping in Acute Respiratory Distress Syndrome: Steps Towards Personalized Medicine.Journal of clinical medicine · 2025Article
- Acute Respiratory Distress Syndrome: Pathophysiological Insights, Subphenotypes, and Clinical Implications-A Comprehensive Review.Journal of clinical medicine · 2025Review
- Sepsis subphenotypes, theragnostics and personalized sepsis care.Intensive care medicine · 2025Review
- Advances in acute respiratory distress syndrome: focusing on heterogeneity, pathophysiology, and therapeutic strategies.Signal transduction and targeted therapy · 2025Review
- Article
- Hypercapnia outcome in COVID-19 acute respiratory distress syndrome patients on mechanical ventilator: A retrospective observational cohort.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025Article
- Clinical phenotype of ARDS based on K-means cluster analysis: A study from the eICU database.Heliyon · 2024Article
- Clinical Sepsis Phenotypes in Critically Ill Patients.Microorganisms · 2023Review
- ESICM guidelines on acute respiratory distress syndrome: definition, phenotyping and respiratory support strategies.Intensive care medicine · 2023Article
Corrections and comments
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Authors and funding
20 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute respiratory distress syndrome (ARDS) is a heterogeneous syndrome, and the identification of homogeneous subgroups and phenotypes is the first step toward precision critical care. We aimed to explore whether ARDS phenotypes can be identified using clinical data, are reproducible and are associated with clinical outcomes and treatment response.
methodsThis study is based on a retrospective analysis of data from the telehealth intensive care unit (eICU) collaborative research database and three ARDS randomized controlled trials (RCTs) (ALVEOLI, FACTT and SAILS trials). We derived phenotypes in the eICU by cluster analysis based on clinical data and compared the clinical characteristics and outcomes of each phenotype. The reproducibility of the derived phenotypes was tested using the data from three RCTs, and treatment effects were evaluated.
resultsThree clinical phenotypes were identified in the training cohort of 3875 ARDS patients. Of the three phenotypes identified, phenotype I (n = 1565; 40%) was associated with fewer laboratory abnormalities, less organ dysfunction and the lowest in-hospital mortality rate (8%). Phenotype II (n = 1232; 32%) was correlated with more inflammation and shock and had a higher mortality rate (18%). Phenotype III (n = 1078; 28%) was strongly correlated with renal dysfunction and acidosis and had the highest mortality rate (22%). These results were validated using the data from the validation cohort (n = 3670) and three RCTs (n = 2289) and had reproducibility. Patients with these ARDS phenotypes had different treatment responses to randomized interventions. Specifically, in the ALVEOLI cohort, the effects of ventilation strategy (high PEEP vs low PEEP) on ventilator-free days differed by phenotype (p = 0.001); in the FACTT cohort, there was a significant interaction between phenotype and fluid-management strategy for 60-day mortality (p = 0.01). The fluid-conservative strategy was associated with improved mortality in phenotype II but had the opposite effect in phenotype III.
conclusionThree clinical phenotypes of ARDS were identified and had different clinical characteristics and outcomes. The analysis shows evidence of a phenotype-specific treatment benefit in the ALVEOLI and FACTT trials. These findings may improve the identification of distinct subsets of ARDS patients for exploration in future RCTs.
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