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Diagnosis of COVID-19 by exhaled breath analysis using gas chromatography-mass spectrometry

Wadah Ibrahim, Rebecca L. Cordell, Michael J. Wilde, Matthew Richardson, Liesl Carr, Ananga Sundari Devi Dasi, Beverley Hargadon, Robert C. Free, Paul S. Monks, Christopher E. Brightling, Neil J. Greening, Salman Siddiqui on behalf of the EMBER consortium
ERJ Open Research 2021; DOI: 10.1183/23120541.00139-2021
Wadah Ibrahim
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
4Equal contribution to work
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Rebecca L. Cordell
3School of Chemistry, University of Leicester, Leicester, UK
4Equal contribution to work
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Michael J. Wilde
3School of Chemistry, University of Leicester, Leicester, UK
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Matthew Richardson
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Liesl Carr
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Ananga Sundari Devi Dasi
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Beverley Hargadon
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Robert C. Free
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Paul S. Monks
3School of Chemistry, University of Leicester, Leicester, UK
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  • ORCID record for Paul S. Monks
Christopher E. Brightling
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Neil J. Greening
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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Salman Siddiqui
1Department of Respiratory Sciences, University of Leicester, Leicester, UK
2Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK
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  • For correspondence: ss338@le.ac.uk
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Abstract

Background The ongoing COVID-19 pandemic has claimed over two and a half million lives worldwide so far. SARS-CoV-2 infection is perceived to be seasonally recurrent and a rapid non-invasive biomarker to accurately diagnose patients early-on in their disease course will be necessary to meet the operational demands for COVID-19 control in the coming years.

Objective To evaluate the role of exhaled breath volatile biomarkers in identifying patients with suspected or confirmed COVID-19 infection, based on their underlying PCR status and clinical probability.

Methods A prospective, real-world, observational study recruiting adult patients with suspected or confirmed COVID-19 infection. Breath samples were collected using a standard breath collection bag, modified with appropriate filters to comply with local infection control recommendations and samples were analysed using gas chromatography-mass spectrometry (TD-GC-MS).

Findings 81 patients were recruited between April 29th to July 10th, 2020, of whom 52/81 (64%) tested positive for COVID-19 by RT-PCR. A regression analysis identified a set of seven exhaled breath features (benzaldehyde, 1-propanol, 3, 6-methylundecane, camphene, beta-cubebene, Iodobenzene, and an unidentified compound) that separated PCR positive patients with an area under the curve (AUC): 0.836, sensitivity: 68%, specificity: 85%.

Conclusions GC-MS detected exhaled breath biomarkers were able to identify PCR positive COVID-19 patients. External replication of these compounds is warranted to validate these results.

Footnotes

This manuscript has recently been accepted for publication in the ERJ Open Research. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJOR online. Please open or download the PDF to view this article.

Conflict of interest: Dr. Ibrahim has nothing to disclose.

Conflict of interest: Dr. Cordell has nothing to disclose.

Conflict of interest: Dr. Wilde has nothing to disclose.

Conflict of interest: Dr. Richardson has nothing to disclose.

Conflict of interest: Mrs. Carr has nothing to disclose.

Conflict of interest: Miss. Sundari Devi dasi has nothing to disclose.

Conflict of interest: Ms. Hargadon has nothing to disclose.

Conflict of interest: Dr. Free has nothing to disclose.

Conflict of interest: Professor Monks has nothing to disclose.

Conflict of interest: Professor Brightling has nothing to disclose.

Conflict of interest: Dr. Greening has nothing to disclose.

Conflict of interest: Professor Siddiqui has nothing to disclose.

This is a PDF-only article. Please click on the PDF link above to read it.

  • Received March 2, 2021.
  • Accepted April 24, 2021.
  • Copyright ©The authors 2021
http://creativecommons.org/licenses/by-nc/4.0/

This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions{at}ersnet.org

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Diagnosis of COVID-19 by exhaled breath analysis using gas chromatography-mass spectrometry
Wadah Ibrahim, Rebecca L. Cordell, Michael J. Wilde, Matthew Richardson, Liesl Carr, Ananga Sundari Devi Dasi, Beverley Hargadon, Robert C. Free, Paul S. Monks, Christopher E. Brightling, Neil J. Greening, Salman Siddiqui
ERJ Open Research Jan 2021, 00139-2021; DOI: 10.1183/23120541.00139-2021

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Diagnosis of COVID-19 by exhaled breath analysis using gas chromatography-mass spectrometry
Wadah Ibrahim, Rebecca L. Cordell, Michael J. Wilde, Matthew Richardson, Liesl Carr, Ananga Sundari Devi Dasi, Beverley Hargadon, Robert C. Free, Paul S. Monks, Christopher E. Brightling, Neil J. Greening, Salman Siddiqui
ERJ Open Research Jan 2021, 00139-2021; DOI: 10.1183/23120541.00139-2021
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