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Ordinal Dose-Response Modeling Approach for the Phthalate Syndrome

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Background: The phthalate syndrome (PS) is a collection of related male reproductive developmental effects, ranging in severity, that have been observed in rats after gestational exposure to one or more developmentally-toxic phthalates. For the purposes of statistical analysis, the PS is defined as a single endpoint upon which one dose-response analysis is conducted, rather than conducting multiple analyses on all the individual endpoints which comprise it. Objective: To improve dose-response modeling approaches for the PS by accounting for differing severity levels among the PS endpoints. Methods: Ordinal dose-response modeling was performed on the PS using data from a published study of diisobutyl phthalate (DIBP) gestational exposure to male Sprague-Dawley rats. To incorporate PS endpoint severity, the endpoints were categorized into ordinal levels based on male developmental effects and the endpoint’s impact on fertility. Then, a benchmark dose was estimated for each ordinal level. A bootstrap procedure was used to account for the nested nature of the data. A comparison of the estimates between the ordinal and the dichotomous model was also performed. Results: The ordinal version of the log-logistic model applied to the data categorized by severity level of PS endpoints provided results that were less variable than the traditional dichotomous application. Conclusion: The ordinal dose-response modeling method accounts for severity differences among dichotomous PS endpoints and can be used in both single phthalate and cumulative phthalate risk assessments.

Impact/Purpose

This article presents an ordinal dose-response model for analyzing the phthalate syndrome in the context of environmental risk assessment. The phthalate syndrome is a collection of related male reproductive developmental effects, and this model represents an improvement over the more commonly used dichotomous dose-response model by accounting for severity of the effects as related to their impact on fertility. The model was applied to a dataset consisting of male reproductive developmental effects observed in male rats exposed to diisobutyl phthalate during gestation. The ordinal analysis resulted in benchmark dose estimates and their lower bounds that were less variable than the dichotomous analysis. The model would be of interest to risk assessors who want to extend dose-response modeling to ordinal endpoints that account for outcome severity.

Citation

Blessinger, T., S. Euling, Lily (Lihong) Wang, K. Hogan, Y. Cai, G. Klinefelter, AND A. Saillenfait. Ordinal Dose-Response Modeling Approach for the Phthalate Syndrome. Elsevier B.V., Amsterdam, NETHERLANDS, 134:105287, (2020). [DOI: 10.1016/j.envint.2019.105287]

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DOI: Ordinal Dose-Response Modeling Approach for the Phthalate Syndrome
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Last updated on April 30, 2020
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