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Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study

BACKGROUND: There is an urgent need to rapidly distinguish COVID-19 from other respiratory conditions, including influenza, at first-presentation. Point-of-care tests not requiring laboratory- support will speed diagnosis and protect health-care staff. We studied the feasibility of using breath-anal...

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Autores principales: Ruszkiewicz, Dorota M, Sanders, Daniel, O'Brien, Rachel, Hempel, Frederik, Reed, Matthew J, Riepe, Ansgar C, Bailie, Kenneth, Brodrick, Emma, Darnley, Kareen, Ellerkmann, Richard, Mueller, Oliver, Skarysz, Angelika, Truss, Michael, Wortelmann, Thomas, Yordanov, Simeon, Thomas, C.L.Paul, Schaaf, Bernhard, Eddleston, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585499/
https://www.ncbi.nlm.nih.gov/pubmed/33134902
http://dx.doi.org/10.1016/j.eclinm.2020.100609
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author Ruszkiewicz, Dorota M
Sanders, Daniel
O'Brien, Rachel
Hempel, Frederik
Reed, Matthew J
Riepe, Ansgar C
Bailie, Kenneth
Brodrick, Emma
Darnley, Kareen
Ellerkmann, Richard
Mueller, Oliver
Skarysz, Angelika
Truss, Michael
Wortelmann, Thomas
Yordanov, Simeon
Thomas, C.L.Paul
Schaaf, Bernhard
Eddleston, Michael
author_facet Ruszkiewicz, Dorota M
Sanders, Daniel
O'Brien, Rachel
Hempel, Frederik
Reed, Matthew J
Riepe, Ansgar C
Bailie, Kenneth
Brodrick, Emma
Darnley, Kareen
Ellerkmann, Richard
Mueller, Oliver
Skarysz, Angelika
Truss, Michael
Wortelmann, Thomas
Yordanov, Simeon
Thomas, C.L.Paul
Schaaf, Bernhard
Eddleston, Michael
author_sort Ruszkiewicz, Dorota M
collection PubMed
description BACKGROUND: There is an urgent need to rapidly distinguish COVID-19 from other respiratory conditions, including influenza, at first-presentation. Point-of-care tests not requiring laboratory- support will speed diagnosis and protect health-care staff. We studied the feasibility of using breath-analysis to distinguish these conditions with near-patient gas chromatography-ion mobility spectrometry (GC-IMS). METHODS: Independent observational prevalence studies at Edinburgh, UK, and Dortmund, Germany, recruited adult patients with possible COVID-19 at hospital presentation. Participants gave a single breath-sample for VOC analysis by GC-IMS. COVID-19 infection was identified by transcription polymerase chain reaction (RT- qPCR) of oral/nasal swabs together with clinical-review. Following correction for environmental contaminants, potential COVID-19 breath-biomarkers were identified by multi-variate analysis and comparison to GC-IMS databases. A COVID-19 breath-score based on the relative abundance of a panel of volatile organic compounds was proposed and tested against the cohort data. FINDINGS: Ninety-eight patients were recruited, of whom 21/33 (63.6%) and 10/65 (15.4%) had COVID-19 in Edinburgh and Dortmund, respectively. Other diagnoses included asthma, COPD, bacterial pneumonia, and cardiac conditions. Multivariate analysis identified aldehydes (ethanal, octanal), ketones (acetone, butanone), and methanol that discriminated COVID-19 from other conditions. An unidentified-feature with significant predictive power for severity/death was isolated in Edinburgh, while heptanal was identified in Dortmund. Differentiation of patients with definite diagnosis (25 and 65) of COVID-19 from non-COVID-19 was possible with 80% and 81.5% accuracy in Edinburgh and Dortmund respectively (sensitivity/specificity 82.4%/75%; area-under-the-receiver- operator-characteristic [AUROC] 0.87 95% CI 0.67 to 1) and Dortmund (sensitivity / specificity 90%/80%; AUROC 0.91 95% CI 0.87 to 1). INTERPRETATION: These two studies independently indicate that patients with COVID-19 can be rapidly distinguished from patients with other conditions at first healthcare contact. The identity of the marker compounds is consistent with COVID-19 derangement of breath-biochemistry by ketosis, gastrointestinal effects, and inflammatory processes. Development and validation of this approach may allow rapid diagnosis of COVID-19 in the coming endemic flu seasons. FUNDING: MR was supported by an NHS Research Scotland Career Researcher Clinician award. DMR was supported by the University of Edinburgh ref COV_29.
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spelling pubmed-75854992020-10-26 Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study Ruszkiewicz, Dorota M Sanders, Daniel O'Brien, Rachel Hempel, Frederik Reed, Matthew J Riepe, Ansgar C Bailie, Kenneth Brodrick, Emma Darnley, Kareen Ellerkmann, Richard Mueller, Oliver Skarysz, Angelika Truss, Michael Wortelmann, Thomas Yordanov, Simeon Thomas, C.L.Paul Schaaf, Bernhard Eddleston, Michael EClinicalMedicine Research Paper BACKGROUND: There is an urgent need to rapidly distinguish COVID-19 from other respiratory conditions, including influenza, at first-presentation. Point-of-care tests not requiring laboratory- support will speed diagnosis and protect health-care staff. We studied the feasibility of using breath-analysis to distinguish these conditions with near-patient gas chromatography-ion mobility spectrometry (GC-IMS). METHODS: Independent observational prevalence studies at Edinburgh, UK, and Dortmund, Germany, recruited adult patients with possible COVID-19 at hospital presentation. Participants gave a single breath-sample for VOC analysis by GC-IMS. COVID-19 infection was identified by transcription polymerase chain reaction (RT- qPCR) of oral/nasal swabs together with clinical-review. Following correction for environmental contaminants, potential COVID-19 breath-biomarkers were identified by multi-variate analysis and comparison to GC-IMS databases. A COVID-19 breath-score based on the relative abundance of a panel of volatile organic compounds was proposed and tested against the cohort data. FINDINGS: Ninety-eight patients were recruited, of whom 21/33 (63.6%) and 10/65 (15.4%) had COVID-19 in Edinburgh and Dortmund, respectively. Other diagnoses included asthma, COPD, bacterial pneumonia, and cardiac conditions. Multivariate analysis identified aldehydes (ethanal, octanal), ketones (acetone, butanone), and methanol that discriminated COVID-19 from other conditions. An unidentified-feature with significant predictive power for severity/death was isolated in Edinburgh, while heptanal was identified in Dortmund. Differentiation of patients with definite diagnosis (25 and 65) of COVID-19 from non-COVID-19 was possible with 80% and 81.5% accuracy in Edinburgh and Dortmund respectively (sensitivity/specificity 82.4%/75%; area-under-the-receiver- operator-characteristic [AUROC] 0.87 95% CI 0.67 to 1) and Dortmund (sensitivity / specificity 90%/80%; AUROC 0.91 95% CI 0.87 to 1). INTERPRETATION: These two studies independently indicate that patients with COVID-19 can be rapidly distinguished from patients with other conditions at first healthcare contact. The identity of the marker compounds is consistent with COVID-19 derangement of breath-biochemistry by ketosis, gastrointestinal effects, and inflammatory processes. Development and validation of this approach may allow rapid diagnosis of COVID-19 in the coming endemic flu seasons. FUNDING: MR was supported by an NHS Research Scotland Career Researcher Clinician award. DMR was supported by the University of Edinburgh ref COV_29. The Authors. Published by Elsevier Ltd. 2020-12 2020-10-24 /pmc/articles/PMC7585499/ /pubmed/33134902 http://dx.doi.org/10.1016/j.eclinm.2020.100609 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Paper
Ruszkiewicz, Dorota M
Sanders, Daniel
O'Brien, Rachel
Hempel, Frederik
Reed, Matthew J
Riepe, Ansgar C
Bailie, Kenneth
Brodrick, Emma
Darnley, Kareen
Ellerkmann, Richard
Mueller, Oliver
Skarysz, Angelika
Truss, Michael
Wortelmann, Thomas
Yordanov, Simeon
Thomas, C.L.Paul
Schaaf, Bernhard
Eddleston, Michael
Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
title Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
title_full Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
title_fullStr Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
title_full_unstemmed Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
title_short Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
title_sort diagnosis of covid-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585499/
https://www.ncbi.nlm.nih.gov/pubmed/33134902
http://dx.doi.org/10.1016/j.eclinm.2020.100609
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