1. Latent Class Analysis Reveals COVID-19–related Acute Respiratory Distress Syndrome Subgroups with Differential Responses to Corticosteroids
- Author
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Sinha, Pratik, Furfaro, David, Cummings, Matthew J, Abrams, Darryl, Delucchi, Kevin, Maddali, Manoj V, He, June, Thompson, Alison, Murn, Michael, Fountain, John, Rosen, Amanda, Robbins-Juarez, Shelief Y, Adan, Matthew A, Satish, Tejus, Madhavan, Mahesh, Gupta, Aakriti, Lyashchenko, Alexander K, Agerstrand, Cara, Yip, Natalie H, Burkart, Kristin M, Beitler, Jeremy R, Baldwin, Matthew R, Calfee, Carolyn S, Brodie, Daniel, and O’Donnell, Max R
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Lung ,Infectious Diseases ,Acute Respiratory Distress Syndrome ,Emerging Infectious Diseases ,Rare Diseases ,Good Health and Well Being ,Adrenal Cortex Hormones ,Aged ,COVID-19 ,Cohort Studies ,Female ,Humans ,Latent Class Analysis ,Male ,Middle Aged ,Respiratory Distress Syndrome ,Retrospective Studies ,COVID-19 Drug Treatment ,ARDS ,latent class analysis ,phenotyping ,Medical and Health Sciences ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
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 tested. Measurements and Main Results: From March 2, 2020, to April 30, 2020, 483 patients with COVID-19-related ARDS met study criteria. A two-class latent class analysis model best fit the population (P = 0.0075). Class 2 (23%) had higher proinflammatory markers, troponin, creatinine, and lactate, lower bicarbonate, and lower blood pressure than class 1 (77%). Ninety-day mortality was higher in class 2 versus class 1 (75% vs. 48%; P
- Published
- 2021