ArticleBMJ open2022
Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Clinical Phenotyping in Acute Respiratory Distress Syndrome: Steps Towards Personalized Medicine.Journal of clinical medicine · 2025Article
- Clinical phenotype of ARDS based on K-means cluster analysis: A study from the eICU database.Heliyon · 2024Article
- Article
- Comparing the impact of targeting limited driving pressure to low tidal volume ventilation on mortality in mechanically ventilated adults with COVID-19 ARDS: an exploratory target trial emulation.BMJ open respiratory research · 2024Article
- Toward Precision in Critical Care Research: Methods for Observational and Interventional Studies.Critical care medicine · 2024Review
- Respiratory Support in COVID-19-Related Respiratory Failure: Lessons Learnt.Advances in experimental medicine and biology · 2024Review
- Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical Records.JMIR formative research · 2023Article
- 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
- Lessons Learned in Mechanical Ventilation/Oxygen Support in Coronavirus Disease 2019.Clinics in chest medicine · 2023Review
- Physiological and clinical variables identify ARDS classes and therapeutic heterogeneity to glucocorticoids: a retrospective study.BMC pulmonary medicine · 2023Article
- Mortality associated with acute respiratory distress syndrome, 2009-2019: a systematic review and meta-analysis.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2022Article
- Subphenotyping of critical illness: where protocolized and personalized intensive care medicine meet.Revista Brasileira de terapia intensiva · 2022Article
- Research Progress on Phenotypic Classification of Acute Respiratory Distress Syndrome: A Narrative Review.International journal of general medicine · 2022Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe acute respiratory distress syndrome (ARDS) is a heterogeneous condition, and identification of subphenotypes may help in better risk stratification. Our study objective is to identify ARDS subphenotypes using new simpler methodology and readily available clinical variables.
settingThis is a retrospective Cohort Study of ARDS trials. Data from the US ARDSNet trials and from the international ART trial.
participants3763 patients from ARDSNet data sets and 1010 patients from the ART data set. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was 60-day or 28-day mortality, depending on what was reported in the original trial. K-means cluster analysis was performed to identify subgroups. Sets of candidate variables were tested to assess their ability to produce different probabilities for mortality in each cluster. Clusters were compared with biomarker data, allowing identification of subphenotypes.
resultsData from 4773 patients were analysed. Two subphenotypes (A and B) resulted in optimal separation in the final model, which included nine routinely collected clinical variables, namely heart rate, mean arterial pressure, respiratory rate, bilirubin, bicarbonate, creatinine, PaO
conclusionsRoutinely available clinical data can successfully identify two distinct subphenotypes in adult ARDS patients. This work may facilitate implementation of precision therapy in ARDS clinical trials.
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