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https://scholarhub.balamand.edu.lb/handle/uob/6885
Title: | Acquired ichthyosis: a clinical review | Authors: | Haber, Roger Feghali, Joelle Nadir, Umer Yi, Michael D Cahn, Brian A |
Affiliations: | Faculty of Medicine | Keywords: | Acquired ichthyosis Drug induced Internal diseases Malignancy Management Pathogenesis |
Issue Date: | 2023-07-09 | Publisher: | Springer | Part of: | Archives of Dermatological Research | Volume: | 315 | Start page: | 2529 | End page: | 2543 | Abstract: | Acquired ichthyosis (AI) is a rare, nonhereditary cutaneous disorder that has been associated with numerous neoplastic, infectious, drugs, endocrine, metabolic, autoimmune, and malabsorptive diseases. Review all demographical, clinical, histological, and therapeutic features of AI and focus on all reported associated diseases. We performed a systematic literature review in Pubmed/Medline, Embase, and Cochrane collaboration databases, searching for all articles on AI, with no limits on publication date, participant age, sex or nationality. Eighty-four articles were included. Total number of included patients was 167 patients with a mean age at presentation of 39 years [range 0.5-85] and a sex ratio M:F of 5:2. The most common malignancy associated with AI is Hodgkin's lymphoma. AI occurred before, simultaneously or after the onset of malignancy or systemic disease. The severity of AI depends on the severity of the underlying disorder and regresses once the disease goes into remission and may also be a marker of disease recurrence or relapse. 8% have been reported to be drug related and all occurred weeks to months after drug intake and resolved after stopping or decreasing the dose of the drug. Data were derived from case reports and observational studies. Limitations include the accuracy of published data, potential patient selection, and reporting bias. AI can be associated with numerous systemic diseases and drugs. Physicians should be particularly alert to these associations to provide adequate screening and management of patients with AI. |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/6885 | ISSN: | 03403696 | DOI: | 10.1007/s00403-023-02668-5 | Open URL: | Link to full text | Type: | Journal Article |
Appears in Collections: | Faculty of Medicine |
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