作者
Pratik Sinha, David Furfaro, Matthew J Cummings, Darryl Abrams, Kevin Delucchi, Manoj V Maddali, June He, Alison Thompson, Michael Murn, John Fountain, Amanda Rosen, Shelief Y Robbins-Juarez, Matthew A Adan, Tejus Satish, Mahesh Madhavan, Aakriti Gupta, Alexander K Lyashchenko, Cara Agerstrand, Natalie H Yip, Kristin M Burkart, Jeremy R Beitler, Matthew R Baldwin, Carolyn S Calfee, Daniel Brodie, Max R O’Donnell
发表日期
2021/12/1
期刊
American journal of respiratory and critical care medicine
卷号
204
期号
11
页码范围
1274-1285
出版商
American Thoracic Society
简介
Rationale: Two distinct subphenotypes have been identified in acute respiratory distress syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus disease (COVID-19) is unknown.
Objectives: To identify clinically relevant, novel subgroups in COVID-19–related ARDS and compare them with previously described ARDS subphenotypes.
Methods: Eligible participants were adults with COVID-19 and ARDS at Columbia University Irving Medical Center. Latent class analysis was used to identify subgroups with baseline clinical, respiratory, and laboratory data serving as partitioning variables. A previously developed machine learning model was used to classify patients as the hypoinflammatory and hyperinflammatory subphenotypes. Baseline characteristics and clinical outcomes were compared between subgroups. Heterogeneity of treatment effect for corticosteroid use in subgroups was …
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P Sinha, D Furfaro, MJ Cummings, D Abrams… - American journal of respiratory and critical care …, 2021