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Evaluation of the Benchmark Dose for Point of Departure Determination for a Variety of Chemical Classes in Applied Regulatory Settings

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  • Hoda Izadi
  • Jean E. Grundy
  • Ranjan Bose

Abstract

Repeated‐dose studies received by the New Substances Assessment and Control Bureau (NSACB) of Health Canada are used to provide hazard information toward risk calculation. These studies provide a point of departure (POD), traditionally the NOAEL or LOAEL, which is used to extrapolate the quantity of substance above which adverse effects can be expected in humans. This project explored the use of benchmark dose (BMD) modeling as an alternative to this approach for studies with few dose groups. Continuous data from oral repeated‐dose studies for chemicals previously assessed by NSACB were reanalyzed using U.S. EPA benchmark dose software (BMDS) to determine the BMD and BMD 95% lower confidence limit (BMDL05) for each endpoint critical to NOAEL or LOAEL determination for each chemical. Endpoint‐specific benchmark dose‐response levels , indicative of adversity, were consistently applied. An overall BMD and BMDL05 were calculated for each chemical using the geometric mean. The POD obtained from benchmark analysis was then compared with the traditional toxicity thresholds originally used for risk assessment. The BMD and BMDL05 generally were higher than the NOAEL, but lower than the LOAEL. BMDL05 was generally constant at 57% of the BMD. Benchmark provided a clear advantage in health risk assessment when a LOAEL was the only POD identified, or when dose groups were widely distributed. Although the benchmark method cannot always be applied, in the selected studies with few dose groups it provided a more accurate estimate of the real no‐adverse‐effect level of a substance.

Suggested Citation

  • Hoda Izadi & Jean E. Grundy & Ranjan Bose, 2012. "Evaluation of the Benchmark Dose for Point of Departure Determination for a Variety of Chemical Classes in Applied Regulatory Settings," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 830-835, May.
  • Handle: RePEc:wly:riskan:v:32:y:2012:i:5:p:830-835
    DOI: 10.1111/j.1539-6924.2011.01732.x
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    References listed on IDEAS

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    1. Kenny S. Crump, 1995. "Calculation of Benchmark Doses from Continuous Data," Risk Analysis, John Wiley & Sons, vol. 15(1), pages 79-89, February.
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    1. Walter W. Piegorsch & Hui Xiong & Rabi N. Bhattacharya & Lizhen Lin, 2014. "Benchmark Dose Analysis via Nonparametric Regression Modeling," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 135-151, January.
    2. Signe M. Jensen & Felix M. Kluxen & Christian Ritz, 2019. "A Review of Recent Advances in Benchmark Dose Methodology," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2295-2315, October.
    3. Carl‐Gustaf Bornehag & Efthymia Kitraki & Antonios Stamatakis & Emily Panagiotidou & Christina Rudén & Huan Shu & Christian Lindh & Joelle Ruegg & Chris Gennings, 2019. "A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2259-2271, October.

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