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Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis
Crisaborole ointment, 2%, is a nonsteroidal phosphodiesterase 4 inhibitor for the treatment of mild to moderate atopic dermatitis. Results from 2 randomized, double‐blind, vehicle‐controlled phase 3 studies showed that twice‐daily crisaborole in children and adults with mild to moderate atopic derma...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540423/ https://www.ncbi.nlm.nih.gov/pubmed/32433779 http://dx.doi.org/10.1002/jcph.1624 |
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author | Purohit, Vivek Riley, Steve Tan, Huaming Ports, William C. |
author_facet | Purohit, Vivek Riley, Steve Tan, Huaming Ports, William C. |
author_sort | Purohit, Vivek |
collection | PubMed |
description | Crisaborole ointment, 2%, is a nonsteroidal phosphodiesterase 4 inhibitor for the treatment of mild to moderate atopic dermatitis. Results from 2 randomized, double‐blind, vehicle‐controlled phase 3 studies showed that twice‐daily crisaborole in children and adults with mild to moderate atopic dermatitis was efficacious and well tolerated. Initial pharmacokinetics (PK) studies of crisaborole indicated absorption with measurable systemic levels of crisaborole. The current analysis was conducted to correlate steady‐state systemic exposure parameters with ointment dose and identify covariates impacting PK parameters in healthy participants and patients with atopic dermatitis or psoriasis. A nonlinear regression analysis was conducted using ointment dose and noncompartmental PK parameters at steady state (area under the curve [AUC(ss)] and maximum concentration [C(max,ss)]). PK data were available from 244 participants across 6 clinical studies (AUC(ss), N = 239; C(max,ss), N = 241). Disease condition had the greatest impact on slope in both models, corresponding to 2.5‐fold higher AUC(ss) and C(max,ss) values at a given ointment dose in patients with atopic dermatitis or psoriasis relative to healthy participants. Disease severity, race/ethnicity, and sex had marginal effects on AUC(ss) and C(max,ss). Systemic exposures were similar across age groups ≥2 years of age when the same percentage of body surface area (%BSA) was treated. Predictive performance plots for AUC(ss) and C(max,ss) for different age groups demonstrated that the models adequately describe the observed data. Model predictions indicated that systemic exposure to crisaborole in pediatric patients (2‐17 years) is unlikely to exceed systemic exposure in adults (≥18 years), even at the highest possible ointment dose corresponding to a %BSA of 90. |
format | Online Article Text |
id | pubmed-7540423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75404232020-10-09 Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis Purohit, Vivek Riley, Steve Tan, Huaming Ports, William C. J Clin Pharmacol Non Covid Articles Crisaborole ointment, 2%, is a nonsteroidal phosphodiesterase 4 inhibitor for the treatment of mild to moderate atopic dermatitis. Results from 2 randomized, double‐blind, vehicle‐controlled phase 3 studies showed that twice‐daily crisaborole in children and adults with mild to moderate atopic dermatitis was efficacious and well tolerated. Initial pharmacokinetics (PK) studies of crisaborole indicated absorption with measurable systemic levels of crisaborole. The current analysis was conducted to correlate steady‐state systemic exposure parameters with ointment dose and identify covariates impacting PK parameters in healthy participants and patients with atopic dermatitis or psoriasis. A nonlinear regression analysis was conducted using ointment dose and noncompartmental PK parameters at steady state (area under the curve [AUC(ss)] and maximum concentration [C(max,ss)]). PK data were available from 244 participants across 6 clinical studies (AUC(ss), N = 239; C(max,ss), N = 241). Disease condition had the greatest impact on slope in both models, corresponding to 2.5‐fold higher AUC(ss) and C(max,ss) values at a given ointment dose in patients with atopic dermatitis or psoriasis relative to healthy participants. Disease severity, race/ethnicity, and sex had marginal effects on AUC(ss) and C(max,ss). Systemic exposures were similar across age groups ≥2 years of age when the same percentage of body surface area (%BSA) was treated. Predictive performance plots for AUC(ss) and C(max,ss) for different age groups demonstrated that the models adequately describe the observed data. Model predictions indicated that systemic exposure to crisaborole in pediatric patients (2‐17 years) is unlikely to exceed systemic exposure in adults (≥18 years), even at the highest possible ointment dose corresponding to a %BSA of 90. John Wiley and Sons Inc. 2020-05-20 2020-10 /pmc/articles/PMC7540423/ /pubmed/32433779 http://dx.doi.org/10.1002/jcph.1624 Text en © 2020 Pfizer Inc. The Journal of Clinical Pharmacology published by Wiley Periodicals LLC on behalf of American College of Clinical Pharmacology This is an open access article under the terms of the http://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 | Non Covid Articles Purohit, Vivek Riley, Steve Tan, Huaming Ports, William C. Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis |
title | Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis |
title_full | Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis |
title_fullStr | Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis |
title_full_unstemmed | Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis |
title_short | Predictors of Systemic Exposure to Topical Crisaborole: A Nonlinear Regression Analysis |
title_sort | predictors of systemic exposure to topical crisaborole: a nonlinear regression analysis |
topic | Non Covid Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540423/ https://www.ncbi.nlm.nih.gov/pubmed/32433779 http://dx.doi.org/10.1002/jcph.1624 |
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