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Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic
INTRODUCTION: The COVID-19 pandemic has unveiled widespread shortages of personal protective equipment including N95 respirators. Several centers are developing reusable stop-gap respirators as alternatives to disposable N95 respirators during public health emergencies, using techniques such as 3D-p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665821/ https://www.ncbi.nlm.nih.gov/pubmed/33186406 http://dx.doi.org/10.1371/journal.pone.0242304 |
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author | Ng, William C. K. Mbadjeu Hondjeu, Arnaud Romeo Syrett, Andrew Caragata, Rebecca Rozenberg, Dmitry Xiao, Zixuan Anwari, Vahid Trac, Jessica Mashari, Azad |
author_facet | Ng, William C. K. Mbadjeu Hondjeu, Arnaud Romeo Syrett, Andrew Caragata, Rebecca Rozenberg, Dmitry Xiao, Zixuan Anwari, Vahid Trac, Jessica Mashari, Azad |
author_sort | Ng, William C. K. |
collection | PubMed |
description | INTRODUCTION: The COVID-19 pandemic has unveiled widespread shortages of personal protective equipment including N95 respirators. Several centers are developing reusable stop-gap respirators as alternatives to disposable N95 respirators during public health emergencies, using techniques such as 3D-printing, silicone moulding and plastic extrusion. Effective sealing of the mask, combined with respiratory filters should achieve 95% or greater filtration of particles less than 1um. Quantitative fit-testing (QNFT) data from these stop-gap devices has not been published to date. Our team developed one such device, the “SSM”, and evaluated it using QNFT. METHODS: Device prototypes were iteratively evaluated for comfort, breathability and communication, by team members wearing them for 15-30min. The fit and seal were assessed by positive and negative pressure user seal checks. The final design was then formally tested by QNFT, according to CSA standard Z94.4–18 in 40 volunteer healthcare providers. An overall fit-factor >100 is the passing threshold. Volunteers were also tested by QNFT on disposable N95 masks which had passed qualitative fit testing (QLFT) by institutional Occupational Health and Safety Department. RESULTS: The SSM scored 3.5/5 and 4/5 for comfort and breathability. The median overall harmonic mean fit-factors of disposable N95 and SSM were 137.9 and 6316.7 respectively. SSM scored significantly higher than disposable respirators in fit-test runs and overall fit-factors (p <0.0001). Overall passing rates in disposable and SSM respirators on QNFT were 65% and 100%. During dynamic runs, passing rates in disposable and SSM respirators were 68.1% and 99.4%; harmonic means were 73.7 and 1643. CONCLUSIONS: We present the design and validation of a reusable N95 stop-gap filtering facepiece respirator that can match existent commercial respirators. This sets a precedence for adoption of novel stop-gap N95 respirators in emergency situations. |
format | Online Article Text |
id | pubmed-7665821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76658212020-11-18 Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic Ng, William C. K. Mbadjeu Hondjeu, Arnaud Romeo Syrett, Andrew Caragata, Rebecca Rozenberg, Dmitry Xiao, Zixuan Anwari, Vahid Trac, Jessica Mashari, Azad PLoS One Research Article INTRODUCTION: The COVID-19 pandemic has unveiled widespread shortages of personal protective equipment including N95 respirators. Several centers are developing reusable stop-gap respirators as alternatives to disposable N95 respirators during public health emergencies, using techniques such as 3D-printing, silicone moulding and plastic extrusion. Effective sealing of the mask, combined with respiratory filters should achieve 95% or greater filtration of particles less than 1um. Quantitative fit-testing (QNFT) data from these stop-gap devices has not been published to date. Our team developed one such device, the “SSM”, and evaluated it using QNFT. METHODS: Device prototypes were iteratively evaluated for comfort, breathability and communication, by team members wearing them for 15-30min. The fit and seal were assessed by positive and negative pressure user seal checks. The final design was then formally tested by QNFT, according to CSA standard Z94.4–18 in 40 volunteer healthcare providers. An overall fit-factor >100 is the passing threshold. Volunteers were also tested by QNFT on disposable N95 masks which had passed qualitative fit testing (QLFT) by institutional Occupational Health and Safety Department. RESULTS: The SSM scored 3.5/5 and 4/5 for comfort and breathability. The median overall harmonic mean fit-factors of disposable N95 and SSM were 137.9 and 6316.7 respectively. SSM scored significantly higher than disposable respirators in fit-test runs and overall fit-factors (p <0.0001). Overall passing rates in disposable and SSM respirators on QNFT were 65% and 100%. During dynamic runs, passing rates in disposable and SSM respirators were 68.1% and 99.4%; harmonic means were 73.7 and 1643. CONCLUSIONS: We present the design and validation of a reusable N95 stop-gap filtering facepiece respirator that can match existent commercial respirators. This sets a precedence for adoption of novel stop-gap N95 respirators in emergency situations. Public Library of Science 2020-11-13 /pmc/articles/PMC7665821/ /pubmed/33186406 http://dx.doi.org/10.1371/journal.pone.0242304 Text en © 2020 Ng et al http://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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ng, William C. K. Mbadjeu Hondjeu, Arnaud Romeo Syrett, Andrew Caragata, Rebecca Rozenberg, Dmitry Xiao, Zixuan Anwari, Vahid Trac, Jessica Mashari, Azad Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic |
title | Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic |
title_full | Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic |
title_fullStr | Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic |
title_full_unstemmed | Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic |
title_short | Subject validation of reusable N95 stop-gap filtering facepiece respirators in COVID-19 pandemic |
title_sort | subject validation of reusable n95 stop-gap filtering facepiece respirators in covid-19 pandemic |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665821/ https://www.ncbi.nlm.nih.gov/pubmed/33186406 http://dx.doi.org/10.1371/journal.pone.0242304 |
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