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Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage
BACKGROUND: Computational fluid dynamics (CFD) has been used to compute nitrous oxide (N(2)O) levels within a room during the administration of an equimolar mix of N(2)O/oxygen (EMONO) in the clinical setting. This study modelled realistic scenarios of EMONO usage in hospital or primary care, in ord...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936319/ https://www.ncbi.nlm.nih.gov/pubmed/27390620 http://dx.doi.org/10.1186/s40557-016-0116-1 |
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author | Pichelin, Marine Billoet, Catherine Caillibotte, Georges |
author_facet | Pichelin, Marine Billoet, Catherine Caillibotte, Georges |
author_sort | Pichelin, Marine |
collection | PubMed |
description | BACKGROUND: Computational fluid dynamics (CFD) has been used to compute nitrous oxide (N(2)O) levels within a room during the administration of an equimolar mix of N(2)O/oxygen (EMONO) in the clinical setting. This study modelled realistic scenarios of EMONO usage in hospital or primary care, in order to estimate the potential N(2)O exposure of healthcare professionals (HCP) with routine EMONO use and to provide guidance for EMONO users. METHODS: Sixteen scenarios were defined by carrying out a survey of practitioners. CFD simulations were performed for each scenario and N(2)O concentrations over time were calculated. N(2)O exposures (time-weighted average of concentration over 8 h [TWA-8 h]) were calculated at the HCPs’ mouth to be compared with a predefined occupational exposure limit (OEL). RESULTS: Administration duration and ventilation type were the main factors influencing N(2)O levels; ventilation type also influenced wash-out time between EMONO administrations. N(2)O concentration showed a plume distribution towards the ceiling and was highly heterogeneous, highlighting the importance of measurement location. Although estimated TWA-8 h varied widely, 13 of the 16 scenarios had an N(2)O TWA-8 h of <100 parts per million. CONCLUSIONS: Data demonstrate that EMONO usage in well ventilated rooms – as recommended – helps to ensure that N(2)O exposure does not exceed the OEL and does not signal any major risks for HCPs when recommendations are followed. Although these data are numerical simulations and should be considered as such, they can provide guidance for EMONO users. |
format | Online Article Text |
id | pubmed-4936319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49363192016-07-08 Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage Pichelin, Marine Billoet, Catherine Caillibotte, Georges Ann Occup Environ Med Research Article BACKGROUND: Computational fluid dynamics (CFD) has been used to compute nitrous oxide (N(2)O) levels within a room during the administration of an equimolar mix of N(2)O/oxygen (EMONO) in the clinical setting. This study modelled realistic scenarios of EMONO usage in hospital or primary care, in order to estimate the potential N(2)O exposure of healthcare professionals (HCP) with routine EMONO use and to provide guidance for EMONO users. METHODS: Sixteen scenarios were defined by carrying out a survey of practitioners. CFD simulations were performed for each scenario and N(2)O concentrations over time were calculated. N(2)O exposures (time-weighted average of concentration over 8 h [TWA-8 h]) were calculated at the HCPs’ mouth to be compared with a predefined occupational exposure limit (OEL). RESULTS: Administration duration and ventilation type were the main factors influencing N(2)O levels; ventilation type also influenced wash-out time between EMONO administrations. N(2)O concentration showed a plume distribution towards the ceiling and was highly heterogeneous, highlighting the importance of measurement location. Although estimated TWA-8 h varied widely, 13 of the 16 scenarios had an N(2)O TWA-8 h of <100 parts per million. CONCLUSIONS: Data demonstrate that EMONO usage in well ventilated rooms – as recommended – helps to ensure that N(2)O exposure does not exceed the OEL and does not signal any major risks for HCPs when recommendations are followed. Although these data are numerical simulations and should be considered as such, they can provide guidance for EMONO users. BioMed Central 2016-07-07 /pmc/articles/PMC4936319/ /pubmed/27390620 http://dx.doi.org/10.1186/s40557-016-0116-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Pichelin, Marine Billoet, Catherine Caillibotte, Georges Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage |
title | Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage |
title_full | Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage |
title_fullStr | Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage |
title_full_unstemmed | Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage |
title_short | Modelling levels of nitrous oxide exposure for healthcare professionals during EMONO usage |
title_sort | modelling levels of nitrous oxide exposure for healthcare professionals during emono usage |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936319/ https://www.ncbi.nlm.nih.gov/pubmed/27390620 http://dx.doi.org/10.1186/s40557-016-0116-1 |
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