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

Authors :
Stanislas Grassin-Delyle, Ph.D.
Camille Roquencourt, M.S.
Pierre Moine, M.D.
Gabriel Saffroy
Stanislas Carn
Nicholas Heming, M.D.
Jérôme Fleuriet, Ph.D.
Hélène Salvator, M.D.
Emmanuel Naline, Ph.D.
Louis-Jean Couderc, M.D.
Philippe Devillier, M.D.
Etienne A. Thévenot, Ph.D.
Djillali Annane, M.D.
Source :
EBioMedicine, Vol 63, Iss , Pp 103154- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

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 25th and June 25th, 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.

Details

Language :
English
ISSN :
23523964
Volume :
63
Issue :
103154-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1c2831184d5349db932ede72b1246b29
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2020.103154