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Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study

BACKGROUND: Early diagnosis of coronavirus disease 2019 (COVID-19) is of the utmost importance but remains challenging. The objective of the current study was to characterize exhaled breath from mechanically ventilated adults with COVID-19. METHODS: In this prospective observational study, we used r...

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Autores principales: Grassin-Delyle, Stanislas, Roquencourt, Camille, Moine, Pierre, Saffroy, Gabriel, Carn, Stanislas, Heming, Nicholas, Fleuriet, Jérôme, Salvator, Hélène, Naline, Emmanuel, Couderc, Louis-Jean, Devillier, Philippe, Thévenot, Etienne A., Annane, Djillali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714658/
https://www.ncbi.nlm.nih.gov/pubmed/33279860
http://dx.doi.org/10.1016/j.ebiom.2020.103154
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author Grassin-Delyle, Stanislas
Roquencourt, Camille
Moine, Pierre
Saffroy, Gabriel
Carn, Stanislas
Heming, Nicholas
Fleuriet, Jérôme
Salvator, Hélène
Naline, Emmanuel
Couderc, Louis-Jean
Devillier, Philippe
Thévenot, Etienne A.
Annane, Djillali
author_facet Grassin-Delyle, Stanislas
Roquencourt, Camille
Moine, Pierre
Saffroy, Gabriel
Carn, Stanislas
Heming, Nicholas
Fleuriet, Jérôme
Salvator, Hélène
Naline, Emmanuel
Couderc, Louis-Jean
Devillier, Philippe
Thévenot, Etienne A.
Annane, Djillali
author_sort Grassin-Delyle, Stanislas
collection PubMed
description BACKGROUND: Early diagnosis of coronavirus disease 2019 (COVID-19) is of the utmost importance but remains challenging. The objective of the current study was to characterize exhaled breath from mechanically ventilated adults with COVID-19. METHODS: In this prospective observational study, we used real-time, online, proton transfer reaction time-of-flight mass spectrometry to perform a metabolomic analysis of expired air from adults undergoing invasive mechanical ventilation in the intensive care unit due to severe COVID-19 or non-COVID-19 acute respiratory distress syndrome (ARDS). FINDINGS: Between March 25(th) and June 25(th), 2020, we included 40 patients with ARDS, of whom 28 had proven COVID-19. In a multivariate analysis, we identified a characteristic breathprint for COVID-19. We could differentiate between COVID-19 and non-COVID-19 ARDS with accuracy of 93% (sensitivity: 90%, specificity: 94%, area under the receiver operating characteristic curve: 0•94-0•98, after cross-validation). The four most prominent volatile compounds in COVID-19 patients were methylpent-2-enal, 2,4-octadiene 1-chloroheptane, and nonanal. INTERPRETATION: The real-time, non-invasive detection of methylpent-2-enal, 2,4-octadiene 1-chloroheptane, and nonanal in exhaled breath may identify ARDS patients with COVID-19. FUNDING: The study was funded by Agence Nationale de la Recherche (SoftwAiR, ANR-18-CE45-0017 and RHU4 RECORDS, Programme d'Investissements d'Avenir, ANR-18-RHUS-0004), Région Île de France (SESAME 2016), and Fondation Foch.
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spelling pubmed-77146582020-12-04 Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study Grassin-Delyle, Stanislas Roquencourt, Camille Moine, Pierre Saffroy, Gabriel Carn, Stanislas Heming, Nicholas Fleuriet, Jérôme Salvator, Hélène Naline, Emmanuel Couderc, Louis-Jean Devillier, Philippe Thévenot, Etienne A. Annane, Djillali EBioMedicine Research paper BACKGROUND: Early diagnosis of coronavirus disease 2019 (COVID-19) is of the utmost importance but remains challenging. The objective of the current study was to characterize exhaled breath from mechanically ventilated adults with COVID-19. METHODS: In this prospective observational study, we used real-time, online, proton transfer reaction time-of-flight mass spectrometry to perform a metabolomic analysis of expired air from adults undergoing invasive mechanical ventilation in the intensive care unit due to severe COVID-19 or non-COVID-19 acute respiratory distress syndrome (ARDS). FINDINGS: Between March 25(th) and June 25(th), 2020, we included 40 patients with ARDS, of whom 28 had proven COVID-19. In a multivariate analysis, we identified a characteristic breathprint for COVID-19. We could differentiate between COVID-19 and non-COVID-19 ARDS with accuracy of 93% (sensitivity: 90%, specificity: 94%, area under the receiver operating characteristic curve: 0•94-0•98, after cross-validation). The four most prominent volatile compounds in COVID-19 patients were methylpent-2-enal, 2,4-octadiene 1-chloroheptane, and nonanal. INTERPRETATION: The real-time, non-invasive detection of methylpent-2-enal, 2,4-octadiene 1-chloroheptane, and nonanal in exhaled breath may identify ARDS patients with COVID-19. FUNDING: The study was funded by Agence Nationale de la Recherche (SoftwAiR, ANR-18-CE45-0017 and RHU4 RECORDS, Programme d'Investissements d'Avenir, ANR-18-RHUS-0004), Région Île de France (SESAME 2016), and Fondation Foch. Elsevier 2020-12-04 /pmc/articles/PMC7714658/ /pubmed/33279860 http://dx.doi.org/10.1016/j.ebiom.2020.103154 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Grassin-Delyle, Stanislas
Roquencourt, Camille
Moine, Pierre
Saffroy, Gabriel
Carn, Stanislas
Heming, Nicholas
Fleuriet, Jérôme
Salvator, Hélène
Naline, Emmanuel
Couderc, Louis-Jean
Devillier, Philippe
Thévenot, Etienne A.
Annane, Djillali
Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study
title Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study
title_full Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study
title_fullStr Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study
title_full_unstemmed Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study
title_short Metabolomics of exhaled breath in critically ill COVID-19 patients: A pilot study
title_sort metabolomics of exhaled breath in critically ill covid-19 patients: a pilot study
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714658/
https://www.ncbi.nlm.nih.gov/pubmed/33279860
http://dx.doi.org/10.1016/j.ebiom.2020.103154
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