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Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen
BACKGROUND: Acute respiratory distress syndrome (ARDS) subphenotypes differ in outcomes and treatment responses. Subphenotypes in high-flow nasal oxygen (HFNO)-treated ARDS patients have not been investigated. OBJECTIVES: To identify biological subphenotypes in HFNO-treated ARDS patients. METHODS: S...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619276/ https://www.ncbi.nlm.nih.gov/pubmed/37915062 http://dx.doi.org/10.1186/s13054-023-04687-0 |
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author | Blot, Pierre-Louis Chousterman, Benjamin G. Santafè, Manel Cartailler, Jérôme Pacheco, Andrés Magret, Mònica Masclans, Joan R. Artigas, Antoni Roca, Oriol García-de-Acilu, Marina |
author_facet | Blot, Pierre-Louis Chousterman, Benjamin G. Santafè, Manel Cartailler, Jérôme Pacheco, Andrés Magret, Mònica Masclans, Joan R. Artigas, Antoni Roca, Oriol García-de-Acilu, Marina |
author_sort | Blot, Pierre-Louis |
collection | PubMed |
description | BACKGROUND: Acute respiratory distress syndrome (ARDS) subphenotypes differ in outcomes and treatment responses. Subphenotypes in high-flow nasal oxygen (HFNO)-treated ARDS patients have not been investigated. OBJECTIVES: To identify biological subphenotypes in HFNO-treated ARDS patients. METHODS: Secondary analysis of a prospective multicenter observational study including ARDS patients supported with HFNO. Plasma inflammation markers (interleukin [IL]-6, IL-8, and IL-33 and soluble suppression of tumorigenicity-2 [sST2]) and lung epithelial (receptor for advanced glycation end products [RAGE] and surfactant protein D [SP-D]) and endothelial (angiopoietin-2 [Ang-2]) injury were measured. These biomarkers and bicarbonate were used in K-means cluster analysis to identify subphenotypes. Logistic regression was performed on biomarker combinations to predict clustering. We chose the model with the best AUROC and the lowest number of variables. This model was used to describe the HAIS (High-flow ARDS Inflammatory Subphenotype) score. RESULTS: Among 41 HFNO patients, two subphenotypes were identified. Hyperinflammatory subphenotype (n = 17) showed higher biomarker levels than hypoinflammatory (n = 24). Despite similar baseline characteristics, the hyperinflammatory subphenotype had higher 60-day mortality (47 vs 8.3% p = 0.014) and longer ICU length of stay (22.0 days [18.0–30.0] vs 39.5 [25.5–60.0], p = 0.034). The HAIS score, based on IL-8 and sST2, accurately distinguished subphenotypes (AUROC 0.96 [95%CI: 0.90–1.00]). A HAIS score ≥ 7.45 was predictor of hyperinflammatory subphenotype. CONCLUSION: ARDS patients treated with HFNO exhibit two biological subphenotypes that have similar clinical characteristics, but hyperinflammatory patients have worse outcomes. The HAIS score may identify patients with hyperinflammatory subphenotype and might be used for enrichment strategies in future clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04687-0. |
format | Online Article Text |
id | pubmed-10619276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106192762023-11-02 Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen Blot, Pierre-Louis Chousterman, Benjamin G. Santafè, Manel Cartailler, Jérôme Pacheco, Andrés Magret, Mònica Masclans, Joan R. Artigas, Antoni Roca, Oriol García-de-Acilu, Marina Crit Care Research BACKGROUND: Acute respiratory distress syndrome (ARDS) subphenotypes differ in outcomes and treatment responses. Subphenotypes in high-flow nasal oxygen (HFNO)-treated ARDS patients have not been investigated. OBJECTIVES: To identify biological subphenotypes in HFNO-treated ARDS patients. METHODS: Secondary analysis of a prospective multicenter observational study including ARDS patients supported with HFNO. Plasma inflammation markers (interleukin [IL]-6, IL-8, and IL-33 and soluble suppression of tumorigenicity-2 [sST2]) and lung epithelial (receptor for advanced glycation end products [RAGE] and surfactant protein D [SP-D]) and endothelial (angiopoietin-2 [Ang-2]) injury were measured. These biomarkers and bicarbonate were used in K-means cluster analysis to identify subphenotypes. Logistic regression was performed on biomarker combinations to predict clustering. We chose the model with the best AUROC and the lowest number of variables. This model was used to describe the HAIS (High-flow ARDS Inflammatory Subphenotype) score. RESULTS: Among 41 HFNO patients, two subphenotypes were identified. Hyperinflammatory subphenotype (n = 17) showed higher biomarker levels than hypoinflammatory (n = 24). Despite similar baseline characteristics, the hyperinflammatory subphenotype had higher 60-day mortality (47 vs 8.3% p = 0.014) and longer ICU length of stay (22.0 days [18.0–30.0] vs 39.5 [25.5–60.0], p = 0.034). The HAIS score, based on IL-8 and sST2, accurately distinguished subphenotypes (AUROC 0.96 [95%CI: 0.90–1.00]). A HAIS score ≥ 7.45 was predictor of hyperinflammatory subphenotype. CONCLUSION: ARDS patients treated with HFNO exhibit two biological subphenotypes that have similar clinical characteristics, but hyperinflammatory patients have worse outcomes. The HAIS score may identify patients with hyperinflammatory subphenotype and might be used for enrichment strategies in future clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04687-0. BioMed Central 2023-11-01 /pmc/articles/PMC10619276/ /pubmed/37915062 http://dx.doi.org/10.1186/s13054-023-04687-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Blot, Pierre-Louis Chousterman, Benjamin G. Santafè, Manel Cartailler, Jérôme Pacheco, Andrés Magret, Mònica Masclans, Joan R. Artigas, Antoni Roca, Oriol García-de-Acilu, Marina Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
title | Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
title_full | Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
title_fullStr | Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
title_full_unstemmed | Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
title_short | Subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
title_sort | subphenotypes in patients with acute respiratory distress syndrome treated with high-flow oxygen |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619276/ https://www.ncbi.nlm.nih.gov/pubmed/37915062 http://dx.doi.org/10.1186/s13054-023-04687-0 |
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