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Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine

Despite the enormous impact on human health, acute respiratory distress syndrome (ARDS) is poorly defined, and its timely diagnosis is difficult, as is tracking the course of the syndrome. The objective of this pilot study was to explore the utility of breath collection and analysis methodologies to...

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Autores principales: Sharma, Ruchi, Zhou, Menglian, Tiba, Mohamad Hakam, McCracken, Brendan M., Dickson, Robert P., Gillies, Christopher E., Sjoding, Michael W., Nemzek, Jean A., Ward, Kevin R., Stringer, Kathleen A., Fan, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841990/
https://www.ncbi.nlm.nih.gov/pubmed/35174248
http://dx.doi.org/10.1183/23120541.00154-2021
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author Sharma, Ruchi
Zhou, Menglian
Tiba, Mohamad Hakam
McCracken, Brendan M.
Dickson, Robert P.
Gillies, Christopher E.
Sjoding, Michael W.
Nemzek, Jean A.
Ward, Kevin R.
Stringer, Kathleen A.
Fan, Xudong
author_facet Sharma, Ruchi
Zhou, Menglian
Tiba, Mohamad Hakam
McCracken, Brendan M.
Dickson, Robert P.
Gillies, Christopher E.
Sjoding, Michael W.
Nemzek, Jean A.
Ward, Kevin R.
Stringer, Kathleen A.
Fan, Xudong
author_sort Sharma, Ruchi
collection PubMed
description Despite the enormous impact on human health, acute respiratory distress syndrome (ARDS) is poorly defined, and its timely diagnosis is difficult, as is tracking the course of the syndrome. The objective of this pilot study was to explore the utility of breath collection and analysis methodologies to detect ARDS through changes in the volatile organic compound (VOC) profiles present in breath. Five male Yorkshire mix swine were studied and ARDS was induced using both direct and indirect lung injury. An automated portable gas chromatography device developed in-house was used for point of care breath analysis and to monitor swine breath hourly, starting from initiation of the experiment until the development of ARDS, which was adjudicated based on the Berlin criteria at the breath sampling points and confirmed by lung biopsy at the end of the experiment. A total of 67 breath samples (chromatograms) were collected and analysed. Through machine learning, principal component analysis and linear discrimination analysis, seven VOC biomarkers were identified that distinguished ARDS. These represent seven of the nine biomarkers found in our breath analysis study of human ARDS, corroborating our findings. We also demonstrated that breath analysis detects changes 1–6 h earlier than the clinical adjudication based on the Berlin criteria. The findings provide proof of concept that breath analysis can be used to identify early changes associated with ARDS pathogenesis in swine. Its clinical application could provide intensive care clinicians with a noninvasive diagnostic tool for early detection and continuous monitoring of ARDS.
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spelling pubmed-88419902022-02-15 Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine Sharma, Ruchi Zhou, Menglian Tiba, Mohamad Hakam McCracken, Brendan M. Dickson, Robert P. Gillies, Christopher E. Sjoding, Michael W. Nemzek, Jean A. Ward, Kevin R. Stringer, Kathleen A. Fan, Xudong ERJ Open Res Original Research Articles Despite the enormous impact on human health, acute respiratory distress syndrome (ARDS) is poorly defined, and its timely diagnosis is difficult, as is tracking the course of the syndrome. The objective of this pilot study was to explore the utility of breath collection and analysis methodologies to detect ARDS through changes in the volatile organic compound (VOC) profiles present in breath. Five male Yorkshire mix swine were studied and ARDS was induced using both direct and indirect lung injury. An automated portable gas chromatography device developed in-house was used for point of care breath analysis and to monitor swine breath hourly, starting from initiation of the experiment until the development of ARDS, which was adjudicated based on the Berlin criteria at the breath sampling points and confirmed by lung biopsy at the end of the experiment. A total of 67 breath samples (chromatograms) were collected and analysed. Through machine learning, principal component analysis and linear discrimination analysis, seven VOC biomarkers were identified that distinguished ARDS. These represent seven of the nine biomarkers found in our breath analysis study of human ARDS, corroborating our findings. We also demonstrated that breath analysis detects changes 1–6 h earlier than the clinical adjudication based on the Berlin criteria. The findings provide proof of concept that breath analysis can be used to identify early changes associated with ARDS pathogenesis in swine. Its clinical application could provide intensive care clinicians with a noninvasive diagnostic tool for early detection and continuous monitoring of ARDS. European Respiratory Society 2022-02-14 /pmc/articles/PMC8841990/ /pubmed/35174248 http://dx.doi.org/10.1183/23120541.00154-2021 Text en Copyright ©The authors 2022 https://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@ersnet.org (mailto:permissions@ersnet.org)
spellingShingle Original Research Articles
Sharma, Ruchi
Zhou, Menglian
Tiba, Mohamad Hakam
McCracken, Brendan M.
Dickson, Robert P.
Gillies, Christopher E.
Sjoding, Michael W.
Nemzek, Jean A.
Ward, Kevin R.
Stringer, Kathleen A.
Fan, Xudong
Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
title Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
title_full Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
title_fullStr Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
title_full_unstemmed Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
title_short Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
title_sort breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841990/
https://www.ncbi.nlm.nih.gov/pubmed/35174248
http://dx.doi.org/10.1183/23120541.00154-2021
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