JOURNAL ARTICLE

640 - Investigator- and patient-rated local tolerability in phase 3 trials of topical roflumilast in patients with psoriasis, seborrheic dermatitis, and atopic dermatitis.

  • Published In: British Journal of Dermatology, 2024, v. 191. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bunick, Christopher G; Bhatia, Neal; Rosso, James Del; Draelos, Zoe D; Eichenfield, Lawrence F; Kircik, Leon H; Lebwohl, Mark G; Gooderham, Melinda; Green, Lawrence J; Hebert, Adelaide A; Vender, Ronald B; Zirwas, Matthew; Simpson, Eric L; Gold, Linda Stein; Seal, Melissa; Snyder, Scott; Osborne, David W; Burnett, Patrick; Higham, Robert C; Chu, David H 3 of 3

Abstract

The article focuses on the local tolerability of topical roflumilast, a phosphodiesterase 4 inhibitor formulated as a water-based cream or foam without penetration enhancers or fragrances, in treating psoriasis, seborrheic dermatitis, and atopic dermatitis. Phase 3 clinical trials assessed investigator- and patient-rated irritation, finding that over 96.5% of patients showed no evidence of irritation, and severe discomfort was reported by only about 1% of patients after the first application, decreasing thereafter. Adverse events related to the application site were low across all studies, including in sensitive areas such as the face and intertriginous regions. These findings suggest that topical roflumilast has favorable local tolerability, which may support patient adherence to treatment.

Additional Information

  • Source:British Journal of Dermatology. 2024/08, Vol. 191, p1
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:0007-0963
  • DOI:10.1093/bjd/ljae266.021
  • Accession Number:178936814
  • Copyright Statement:Copyright of British Journal of Dermatology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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