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- W2761919583 abstract "Risks of allergic contact dermatitis (ACD) from consumer products intended for extended (nonpiercing) dermal contact are regulated by E.U. Directive EN 1811 that limits released Ni to a weekly equivalent dermal load of ≤0.5 μg/cm2 . Similar approaches for thousands of known organic sensitizers are hampered by inability to quantify respective ACD-elicitation risk levels. To help address this gap, normalized values of cumulative risk for eliciting a positive (≥+) clinical patch test response reported in 12 studies for a total of n = 625 Ni-sensitized patients were modeled in relation to observed ACD-eliciting Ni loads, yielding an approximate lognormal (LN) distribution with a geometric mean and standard deviation of GMNi = 15 μg/cm2 and GSDNi = 8.0, respectively. Such data for five sensitizers (including formaldehyde and 2-hydroxyethyl methacrylate) were also ∼LN distributed, but with a common GSD value equal to GSDNi and with heterogeneous sensitizer-specific GM values each defining a respective ACD-eliciting potency GMNi /GM relative to Ni. Such potencies were also estimated for nine (meth)acrylates by applying this general LN ACD-elicitation risk model to respective sets of fewer data. ACD-elicitation risk patterns observed for Cr(VI) (n = 417) and Cr(III) (n = 78) were fit to mixed-LN models in which ∼30% and ∼40% of the most sensitive responders, respectively, were estimated to exhibit a LN response also governed by GSDNi . The observed common LN-response shape parameter GSDNi may reflect a common underlying ACD mechanism and suggests a common interim approach to quantitative ACD-elicitation risk assessment based on available clinical data." @default.
- W2761919583 created "2017-10-20" @default.
- W2761919583 creator A5068658001 @default.
- W2761919583 creator A5083843099 @default.
- W2761919583 date "2017-10-11" @default.
- W2761919583 modified "2023-09-27" @default.
- W2761919583 title "Risks of Allergic Contact Dermatitis Elicited by Nickel, Chromium, and Organic Sensitizers: Quantitative Models Based on Clinical Patch Test Data" @default.
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- W2761919583 doi "https://doi.org/10.1111/risa.12902" @default.
- W2761919583 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29023909" @default.
- W2761919583 hasPublicationYear "2017" @default.
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