A15. Critical Care: Brave New World - New Insights From Clinical Trials and Observational Cohorts 2019
DOI: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a1014
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Machine Learning Classifier Models Can Identify ARDS Phenotypes Using Readily Available Clinical Data

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Cited by 10 publications
(12 citation statements)
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“…ARDS is known to be a heterogeneous syndrome with different sub-phenotypes that are characterized by different clinical features, inflammatory cytokine profiles, physiology and differential response to interventions [ 6 , 7 ]. COVID-19 is no exception to this rule.…”
Section: Plus çA Change Plus C’est La Même Chose…mentioning
confidence: 99%
“…ARDS is known to be a heterogeneous syndrome with different sub-phenotypes that are characterized by different clinical features, inflammatory cytokine profiles, physiology and differential response to interventions [ 6 , 7 ]. COVID-19 is no exception to this rule.…”
Section: Plus çA Change Plus C’est La Même Chose…mentioning
confidence: 99%
“…A parsimonious model of different combinations of three or four biomarkers (interleukin (IL)-6 or IL-8, bicarbonate, tumour necrosis factor receptor 1 or protein C, possibly in combination with vasopressor use) as well as a machine learning algorithm that used readily available clinical data was able to accurately identify the LCA phenotypes and showed adequate predictive enrichment in post hoc analysis of the above described RCTs [64,65].…”
Section: Differential Treatment Responses Between Biological Phenotypesmentioning
confidence: 99%
“…First, there is considerable heterogeneity in ARDS itself. Several recent research directions are exploring whether different treatments can be given according to different phenotypes of ARDS [ 114 , 115 ]. Therefore, future research should be based on ARDS patients whose phenotype pathology is more aligned with the mechanisms of aspirin.…”
Section: Meta-analysis Of Clinical Studiesmentioning
confidence: 99%