Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1784650960655613952 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8841990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sharmaruchi breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT zhoumenglian breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT tibamohamadhakam breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT mccrackenbrendanm breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT dicksonrobertp breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT gillieschristophere breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT sjodingmichaelw breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT nemzekjeana breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT wardkevinr breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT stringerkathleena breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine AT fanxudong breathanalysisfordetectionandtrajectorymonitoringofacuterespiratorydistresssyndromeinswine |