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Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis
High Flow Nasal Oxygen (HFNO) therapy offers a proven means of delivering respiratory support to critically ill patients suffering from viral illness such as COVID-19. However, the therapy has the potential to modify aerosol generation and dispersion patterns during exhalation and thereby put health...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782405/ https://www.ncbi.nlm.nih.gov/pubmed/35061806 http://dx.doi.org/10.1371/journal.pone.0262547 |
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author | Crowley, Caroline Murphy, Brian McCaul, Conan Cahill, Ronan Nolan, Kevin Patrick |
author_facet | Crowley, Caroline Murphy, Brian McCaul, Conan Cahill, Ronan Nolan, Kevin Patrick |
author_sort | Crowley, Caroline |
collection | PubMed |
description | High Flow Nasal Oxygen (HFNO) therapy offers a proven means of delivering respiratory support to critically ill patients suffering from viral illness such as COVID-19. However, the therapy has the potential to modify aerosol generation and dispersion patterns during exhalation and thereby put healthcare workers at increased risk of disease transmission. Fundamentally, a gap exists in the literature with regards to the effect of the therapy on the fluid dynamics of the exhalation jet which is essential in understanding the dispersion of aerosols and hence quantifying the disease transmission risk posed by the therapy. In this paper, a multi-faceted approach was taken to studying the aerosol-laden exhalation jet. Schlieren imaging was used to visualise the flow field for a range of expiratory activities for three healthy human volunteers receiving HFNO therapy at flow rates of 0—60 L/min. A RANS turbulence model was implemented using the CFD software OpenFOAM and used to perform a parametric study on the influence of exhalation velocity and duration on the dispersion patterns of non-evaporating droplets in a room environment. A dramatic increase in the turbulence of the exhalation jet was observed when HFNO was applied. Quantitative analysis indicated that the mean exhalation velocity was increased by 2.2—3.9 and 2.3—3 times that for unassisted breathing and coughing, respectively. A 1—2 second increase was found in the exhalation duration. The CFD model showed that small droplets (10—40 μm) were most greatly affected, where a 1 m/s increase in velocity and 1 s increase in duration caused an 80% increase in axial travel distance. |
format | Online Article Text |
id | pubmed-8782405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87824052022-01-22 Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis Crowley, Caroline Murphy, Brian McCaul, Conan Cahill, Ronan Nolan, Kevin Patrick PLoS One Research Article High Flow Nasal Oxygen (HFNO) therapy offers a proven means of delivering respiratory support to critically ill patients suffering from viral illness such as COVID-19. However, the therapy has the potential to modify aerosol generation and dispersion patterns during exhalation and thereby put healthcare workers at increased risk of disease transmission. Fundamentally, a gap exists in the literature with regards to the effect of the therapy on the fluid dynamics of the exhalation jet which is essential in understanding the dispersion of aerosols and hence quantifying the disease transmission risk posed by the therapy. In this paper, a multi-faceted approach was taken to studying the aerosol-laden exhalation jet. Schlieren imaging was used to visualise the flow field for a range of expiratory activities for three healthy human volunteers receiving HFNO therapy at flow rates of 0—60 L/min. A RANS turbulence model was implemented using the CFD software OpenFOAM and used to perform a parametric study on the influence of exhalation velocity and duration on the dispersion patterns of non-evaporating droplets in a room environment. A dramatic increase in the turbulence of the exhalation jet was observed when HFNO was applied. Quantitative analysis indicated that the mean exhalation velocity was increased by 2.2—3.9 and 2.3—3 times that for unassisted breathing and coughing, respectively. A 1—2 second increase was found in the exhalation duration. The CFD model showed that small droplets (10—40 μm) were most greatly affected, where a 1 m/s increase in velocity and 1 s increase in duration caused an 80% increase in axial travel distance. Public Library of Science 2022-01-21 /pmc/articles/PMC8782405/ /pubmed/35061806 http://dx.doi.org/10.1371/journal.pone.0262547 Text en © 2022 Crowley et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Crowley, Caroline Murphy, Brian McCaul, Conan Cahill, Ronan Nolan, Kevin Patrick Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis |
title | Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis |
title_full | Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis |
title_fullStr | Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis |
title_full_unstemmed | Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis |
title_short | Airborne particle dispersion by high flow nasal oxygen: An experimental and CFD analysis |
title_sort | airborne particle dispersion by high flow nasal oxygen: an experimental and cfd analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782405/ https://www.ncbi.nlm.nih.gov/pubmed/35061806 http://dx.doi.org/10.1371/journal.pone.0262547 |
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