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Use of benchmark dose models in risk assessment for occupational handlers of eight pesticides used in pome fruit production.


ABSTRACT: The benchmark dose has been frequently recommended for the creation of points of departure for regulatory dose limits, but many regulations, including pesticide risk assessment and registration in the United States, continues to rely on NOAEL methods as the OECD toxicological standard methods recommend. This study used data from studies in support of pesticide registration for eight different compounds to build dose-response models and calculate benchmark doses and confidence limits. The results were compared to the NOAEL of the same study. A probabilistic estimate of dose was compared with all points of departure to demonstrate differences in the protective ability of each different selected limit. While neither the BMD/BMDL nor the NOAEL was consistently more protective, the advantage of using the BMD in quantifying the uncertainty of the point of departure is highlighted, and the feasibility of using current OECD-guideline studies for derivation of a BMD is demonstrated in these cases.

SUBMITTER: Pouzou JG 

PROVIDER: S-EPMC6937384 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Use of benchmark dose models in risk assessment for occupational handlers of eight pesticides used in pome fruit production.

Pouzou Jane Gurnick JG   Kissel John J   Yost Michael G MG   Fenske Richard A RA   Cullen Alison C AC  

Regulatory toxicology and pharmacology : RTP 20191023


The benchmark dose has been frequently recommended for the creation of points of departure for regulatory dose limits, but many regulations, including pesticide risk assessment and registration in the United States, continues to rely on NOAEL methods as the OECD toxicological standard methods recommend. This study used data from studies in support of pesticide registration for eight different compounds to build dose-response models and calculate benchmark doses and confidence limits. The results  ...[more]

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