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Derivation of occupational exposure limits: Differences in methods and protection levels

Frameworks for deriving occupational exposure limits (OELs) and OEL‐analogue values (such as derived‐no‐effect levels [DNELs]) in various regulatory areas in the EU and at national level in Germany were analysed. Reasons for differences between frameworks and possible means of improving transparency...

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Autores principales: Schneider, Klaus, Dilger, Marco, Drossard, Claudia, Ott, Heidi, Kaiser, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311441/
https://www.ncbi.nlm.nih.gov/pubmed/35188277
http://dx.doi.org/10.1002/jat.4307
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author Schneider, Klaus
Dilger, Marco
Drossard, Claudia
Ott, Heidi
Kaiser, Eva
author_facet Schneider, Klaus
Dilger, Marco
Drossard, Claudia
Ott, Heidi
Kaiser, Eva
author_sort Schneider, Klaus
collection PubMed
description Frameworks for deriving occupational exposure limits (OELs) and OEL‐analogue values (such as derived‐no‐effect levels [DNELs]) in various regulatory areas in the EU and at national level in Germany were analysed. Reasons for differences between frameworks and possible means of improving transparency and harmonisation were identified. Differences between assessment factors used for deriving exposure limits proved to be one important reason for diverging numerical values. Distributions for exposure time, interspecies and intraspecies extrapolation were combined by probabilistic methods and compared with default values of assessment factors used in the various OEL frameworks in order to investigate protection levels. In a subchronic inhalation study showing local effects in the respiratory tract, the probability that assessment factors were sufficiently high to protect 99% and 95% of the target population (workers) from adverse effects varied considerably from 9% to 71% and 17% to 87%, respectively, between the frameworks. All steps of the derivation process, including the uncertainty associated with the point of departure (POD), were further analysed with two examples of full probabilistic assessments. It is proposed that benchmark modelling should be the method of choice for deriving PODs and that all OEL frameworks should provide detailed guidance documents and clearly define their protection goals by stating the proportion of the exposed population the OEL aims to cover and the probability with which they intend to provide protection from adverse effects. Harmonisation can be achieved by agreeing on the way to perform the methodological steps for deriving OELs and on common protection goals.
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spelling pubmed-93114412022-07-29 Derivation of occupational exposure limits: Differences in methods and protection levels Schneider, Klaus Dilger, Marco Drossard, Claudia Ott, Heidi Kaiser, Eva J Appl Toxicol Research Articles Frameworks for deriving occupational exposure limits (OELs) and OEL‐analogue values (such as derived‐no‐effect levels [DNELs]) in various regulatory areas in the EU and at national level in Germany were analysed. Reasons for differences between frameworks and possible means of improving transparency and harmonisation were identified. Differences between assessment factors used for deriving exposure limits proved to be one important reason for diverging numerical values. Distributions for exposure time, interspecies and intraspecies extrapolation were combined by probabilistic methods and compared with default values of assessment factors used in the various OEL frameworks in order to investigate protection levels. In a subchronic inhalation study showing local effects in the respiratory tract, the probability that assessment factors were sufficiently high to protect 99% and 95% of the target population (workers) from adverse effects varied considerably from 9% to 71% and 17% to 87%, respectively, between the frameworks. All steps of the derivation process, including the uncertainty associated with the point of departure (POD), were further analysed with two examples of full probabilistic assessments. It is proposed that benchmark modelling should be the method of choice for deriving PODs and that all OEL frameworks should provide detailed guidance documents and clearly define their protection goals by stating the proportion of the exposed population the OEL aims to cover and the probability with which they intend to provide protection from adverse effects. Harmonisation can be achieved by agreeing on the way to perform the methodological steps for deriving OELs and on common protection goals. John Wiley and Sons Inc. 2022-03-13 2022-05 /pmc/articles/PMC9311441/ /pubmed/35188277 http://dx.doi.org/10.1002/jat.4307 Text en © 2022 The Authors. Journal of Applied Toxicology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Schneider, Klaus
Dilger, Marco
Drossard, Claudia
Ott, Heidi
Kaiser, Eva
Derivation of occupational exposure limits: Differences in methods and protection levels
title Derivation of occupational exposure limits: Differences in methods and protection levels
title_full Derivation of occupational exposure limits: Differences in methods and protection levels
title_fullStr Derivation of occupational exposure limits: Differences in methods and protection levels
title_full_unstemmed Derivation of occupational exposure limits: Differences in methods and protection levels
title_short Derivation of occupational exposure limits: Differences in methods and protection levels
title_sort derivation of occupational exposure limits: differences in methods and protection levels
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311441/
https://www.ncbi.nlm.nih.gov/pubmed/35188277
http://dx.doi.org/10.1002/jat.4307
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