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Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study.
Sinha, Pratik; Delucchi, Kevin L; Chen, Yue; Zhuo, Hanjing; Abbott, Jason; Wang, Chunxue; Wickersham, Nancy; McNeil, J Brennan; Jauregui, Alejandra; Ke, Serena; Vessel, Kathryn; Gomez, Antonio; Hendrickson, Carolyn M; Kangelaris, Kirsten N; Sarma, Aartik; Leligdowicz, Aleksandra; Liu, Kathleen D; Matthay, Michael A; Ware, Lorraine B; Calfee, Carolyn S.
Afiliação
  • Sinha P; Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri, USA p.sinha@wustl.edu.
  • Delucchi KL; Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.
  • Chen Y; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Zhuo H; Department of Anesthesiology, University of California San Francisco, San Francisco, California, USA.
  • Abbott J; Department of Anesthesiology, University of California San Francisco, San Francisco, California, USA.
  • Wang C; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wickersham N; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • McNeil JB; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Jauregui A; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Ke S; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Vessel K; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Gomez A; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Hendrickson CM; Department of Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.
  • Kangelaris KN; Department of Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.
  • Sarma A; Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Leligdowicz A; University of California San Francisco, San Francisco, California, USA.
  • Liu KD; Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, California, USA.
  • Matthay MA; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Ware LB; Department of Anesthesiology, University of California San Francisco, San Francisco, California, USA.
  • Calfee CS; Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, USA.
Thorax ; 77(1): 13-21, 2022 01.
Article em En | MEDLINE | ID: mdl-34253679
RATIONALE: Using latent class analysis (LCA), two subphenotypes of acute respiratory distress syndrome (ARDS) have consistently been identified in five randomised controlled trials (RCTs), with distinct biological characteristics, divergent outcomes and differential treatment responses to randomised interventions. Their existence in unselected populations of ARDS remains unknown. We sought to identify subphenotypes in observational cohorts of ARDS using LCA. METHODS: LCA was independently applied to patients with ARDS from two prospective observational cohorts of patients admitted to the intensive care unit, derived from the Validating Acute Lung Injury markers for Diagnosis (VALID) (n=624) and Early Assessment of Renal and Lung Injury (EARLI) (n=335) studies. Clinical and biological data were used as class-defining variables. To test for concordance with prior ARDS subphenotypes, the performance metrics of parsimonious classifier models (interleukin 8, bicarbonate, protein C and vasopressor-use), previously developed in RCTs, were evaluated in EARLI and VALID with LCA-derived subphenotypes as the gold-standard. RESULTS: A 2-class model best fit the population in VALID (p=0.0010) and in EARLI (p<0.0001). Class 2 comprised 27% and 37% of the populations in VALID and EARLI, respectively. Consistent with the previously described 'hyperinflammatory' subphenotype, Class 2 was characterised by higher proinflammatory biomarkers, acidosis and increased shock and worse clinical outcomes. The similarities between these and prior RCT-derived subphenotypes were further substantiated by the performance of the parsimonious classifier models in both cohorts (area under the curves 0.92-0.94). The hyperinflammatory subphenotype was associated with increased prevalence of chronic liver disease and neutropenia and reduced incidence of chronic obstructive pulmonary disease. Measurement of novel biomarkers showed significantly higher levels of matrix metalloproteinase-8 and markers of endothelial injury in the hyperinflammatory subphenotype, whereas, matrix metalloproteinase-9 was significantly lower. CONCLUSION: Previously described subphenotypes are generalisable to unselected populations of non-trauma ARDS.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome do Desconforto Respiratório / Lesão Pulmonar Aguda Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome do Desconforto Respiratório / Lesão Pulmonar Aguda Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article