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Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control

Aerosol therapy is used to deliver medical therapeutics directly to the airways to treat respiratory conditions. A potential consequence of this form of treatment is the release of fugitive aerosols, both patient derived and medical, into the environment and the subsequent exposure of caregivers and...

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Autores principales: Mac Giolla Eain, Marc, Cahill, Ronan, MacLoughlin, Ronan, Nolan, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725970/
https://www.ncbi.nlm.nih.gov/pubmed/34962221
http://dx.doi.org/10.1080/10717544.2021.2015482
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author Mac Giolla Eain, Marc
Cahill, Ronan
MacLoughlin, Ronan
Nolan, Kevin
author_facet Mac Giolla Eain, Marc
Cahill, Ronan
MacLoughlin, Ronan
Nolan, Kevin
author_sort Mac Giolla Eain, Marc
collection PubMed
description Aerosol therapy is used to deliver medical therapeutics directly to the airways to treat respiratory conditions. A potential consequence of this form of treatment is the release of fugitive aerosols, both patient derived and medical, into the environment and the subsequent exposure of caregivers and bystanders to potential viral infections. This study examined the release of these fugitive aerosols during a standard aerosol therapy to a simulated adult patient. An aerosol holding chamber and mouthpiece were connected to a representative head model and breathing simulator. A combination of laser and Schlieren imaging was used to non-invasively visualize the release and dispersion of fugitive aerosol particles. Time-varying aerosol particle number concentrations and size distributions were measured with optical particle sizers at clinically relevant positions to the simulated patient. The influence of breathing pattern, normal and distressed, supplemental air flow, at 0.2 and 6 LPM, and the addition of a bacterial filter to the exhalation port of the mouthpiece were assessed. Images showed large quantities of fugitive aerosols emitted from the unfiltered mouthpiece. The images and particle counter data show that the addition of a bacterial filter limited the release of these fugitive aerosols, with the peak fugitive aerosol concentrations decreasing by 47.3–83.3%, depending on distance from the simulated patient. The addition of a bacterial filter to the mouthpiece significantly reduces the levels of fugitive aerosols emitted during a simulated aerosol therapy, p≤ .05, and would greatly aid in reducing healthcare worker and bystander exposure to potentially harmful fugitive aerosols.
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spelling pubmed-87259702022-01-05 Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control Mac Giolla Eain, Marc Cahill, Ronan MacLoughlin, Ronan Nolan, Kevin Drug Deliv Research Article Aerosol therapy is used to deliver medical therapeutics directly to the airways to treat respiratory conditions. A potential consequence of this form of treatment is the release of fugitive aerosols, both patient derived and medical, into the environment and the subsequent exposure of caregivers and bystanders to potential viral infections. This study examined the release of these fugitive aerosols during a standard aerosol therapy to a simulated adult patient. An aerosol holding chamber and mouthpiece were connected to a representative head model and breathing simulator. A combination of laser and Schlieren imaging was used to non-invasively visualize the release and dispersion of fugitive aerosol particles. Time-varying aerosol particle number concentrations and size distributions were measured with optical particle sizers at clinically relevant positions to the simulated patient. The influence of breathing pattern, normal and distressed, supplemental air flow, at 0.2 and 6 LPM, and the addition of a bacterial filter to the exhalation port of the mouthpiece were assessed. Images showed large quantities of fugitive aerosols emitted from the unfiltered mouthpiece. The images and particle counter data show that the addition of a bacterial filter limited the release of these fugitive aerosols, with the peak fugitive aerosol concentrations decreasing by 47.3–83.3%, depending on distance from the simulated patient. The addition of a bacterial filter to the mouthpiece significantly reduces the levels of fugitive aerosols emitted during a simulated aerosol therapy, p≤ .05, and would greatly aid in reducing healthcare worker and bystander exposure to potentially harmful fugitive aerosols. Taylor & Francis 2021-12-28 /pmc/articles/PMC8725970/ /pubmed/34962221 http://dx.doi.org/10.1080/10717544.2021.2015482 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mac Giolla Eain, Marc
Cahill, Ronan
MacLoughlin, Ronan
Nolan, Kevin
Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
title Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
title_full Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
title_fullStr Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
title_full_unstemmed Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
title_short Aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
title_sort aerosol release, distribution, and prevention during aerosol therapy: a simulated model for infection control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725970/
https://www.ncbi.nlm.nih.gov/pubmed/34962221
http://dx.doi.org/10.1080/10717544.2021.2015482
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