학술논문

Novel subtypes of severe COVID-19 respiratory failure based on biological heterogeneity: a secondary analysis of a randomized controlled trial
Document Type
article
Source
Critical Care. 28(1)
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Coronaviruses
Rare Diseases
Acute Respiratory Distress Syndrome
Emerging Infectious Diseases
Clinical Research
Clinical Trials and Supportive Activities
Infectious Diseases
Lung
4.1 Discovery and preclinical testing of markers and technologies
2.1 Biological and endogenous factors
Respiratory
Good Health and Well Being
Adult
Humans
Male
Middle Aged
Aged
Female
COVID-19
SARS-CoV-2
Inflammation
Respiratory Distress Syndrome
Oxygen
Respiratory Insufficiency
Biomarkers
Hypoxemic respiratory failure
Latent class analysis
Phenotyping
Biological heterogeneity
Protein biomarkers
I-SPY COVID Consortium
Medical and Health Sciences
Emergency & Critical Care Medicine
Biomedical and clinical sciences
Health sciences
Language
Abstract
BackgroundDespite evidence associating inflammatory biomarkers with worse outcomes in hospitalized adults with COVID-19, trials of immunomodulatory therapies have met with mixed results, likely due in part to biological heterogeneity of participants. Latent class analysis (LCA) of clinical and protein biomarker data has identified two subtypes of non-COVID acute respiratory distress syndrome (ARDS) with different clinical outcomes and treatment responses. We studied biological heterogeneity and clinical outcomes in a multi-institutional platform randomized controlled trial of adults with severe COVID-19 hypoxemic respiratory failure (I-SPY COVID).MethodsClinical and plasma protein biomarker data were analyzed from 400 trial participants enrolled from September 2020 until October 2021 with severe COVID-19 requiring ≥ 6 L/min supplemental oxygen. Seventeen hypothesis-directed protein biomarkers were measured at enrollment using multiplex Luminex panels or single analyte enzyme linked immunoassay methods (ELISA). Biomarkers and clinical variables were used to test for latent subtypes and longitudinal biomarker changes by subtype were explored. A validated parsimonious model using interleukin-8, bicarbonate, and protein C was used for comparison with non-COVID hyper- and hypo-inflammatory ARDS subtypes.ResultsAverage participant age was 60 ± 14 years; 67% were male, and 28-day mortality was 25%. At trial enrollment, 85% of participants required high flow oxygen or non-invasive ventilation, and 97% were receiving dexamethasone. Several biomarkers of inflammation (IL-6, IL-8, IL-10, sTNFR-1, TREM-1), epithelial injury (sRAGE), and endothelial injury (Ang-1, thrombomodulin) were associated with 28- and 60-day mortality. Two latent subtypes were identified. Subtype 2 (27% of participants) was characterized by persistent derangements in biomarkers of inflammation, endothelial and epithelial injury, and disordered coagulation and had twice the mortality rate compared with Subtype 1. Only one person was classified as hyper-inflammatory using the previously validated non-COVID ARDS model.ConclusionsWe discovered evidence of two novel biological subtypes of severe COVID-19 with significantly different clinical outcomes. These subtypes differed from previously established hyper- and hypo-inflammatory non-COVID subtypes of ARDS. Biological heterogeneity may explain inconsistent findings from trials of hospitalized patients with COVID-19 and guide treatment approaches.