JOURNAL ARTICLE
A single-centre retrospective review of treatment responses and adverse events of thalidomide in patients with inflammatory skin disease.
Published In: Clinical & Experimental Dermatology, 2024, v. 49, n. 2. P. 168 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: McSweeney, Sheila M.; Mounsey, Stephen; Arujuna, Nisha; Garibaldinos, Trish; Sarkany, Robert; Fassihi, Hiva 3 of 3
Abstract
This article presents a retrospective review of the use of thalidomide in the treatment of inflammatory skin diseases. Thalidomide, which was initially marketed as a sedative in the 1950s but later withdrawn due to severe birth defects, has seen a resurgence in recent years for the treatment of conditions such as actinic prurigo, nodular prurigo, and lupus erythematosus. The study found that thalidomide was effective in managing these dermatoses, particularly actinic prurigo. However, adverse events were common, with peripheral neuropathy being a severe and frequent side effect, especially in patients with lupus erythematosus. Thromboembolic events were infrequent and occurred in predisposed patients. The study suggests that thalidomide use should be limited to severe, refractory cases and that lower doses should be used when possible. Additionally, lenalidomide may be a safer alternative to thalidomide. Counseling on modifiable risk factors for thromboembolic events is also recommended for patients receiving thalidomide. [Extracted from the article]
Additional Information
- Source:Clinical & Experimental Dermatology. 2024/02, Vol. 49, Issue 2, p168
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:0307-6938
- DOI:10.1093/ced/llad294
- Accession Number:175708771
- Copyright Statement:Copyright of Clinical & Experimental 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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