Psoriasis is a chronic inflammatory skin disease with important socioeconomic consequences. Data on psoriasis prevalence in Greece is scarce and circumstantially reported. The aim of this study was the recording of psoriatic patients' demographic data, clinical characteristics of the disease, and exacerbating factors. Seven hundred and eighty four patients were enrolled in 6 centres (4 in Athens and 2 in Thessaloniki) in a multicenter epidemiologic prospective study. The mean age of patients was 43.2 (standard deviation, SD 17.44) years (median 42 years), while the men: women ratio was 1.8:1. Additionally, 35% of patients reported a positive family history of psoriasis. The mean age of patients at the first episode of psoriasis was 31.3 (SD 16.39) years (median 28 years). Psoriasis vulgaris was the most common form of psoriasis in the population participating in this study. Flares of psoriasis occurred 2.6 times per year on average. The patients considered stress as the main cause for psoriasis exacerbation. Most frequent target points of psoriasis included elbows, legs, scalp and knees. The most common symptoms reported were scaling, and itching. On average, patients visited dermatologists 2.4 times per year for issues related to psoriasis. This study provides epidemiological information regarding psoriasis in Greece. Results of this survey could assist in delineation of patient profiles, and improve communication between doctors and patients.
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http://dx.doi.org/10.1684/ejd.2010.0869 | DOI Listing |
Health Phys
January 2025
Nuclear Medicine and Molecular Imaging Sciences Program, Department of Clinical & Diagnostic Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL.
Ionizing radiation on the skin has the potential to cause various sequelae affecting quality of life and even leading to death due to multi-system failure. The development of radiation dermatitis is attributed to oxidative damage to the skin's basal layer and alterations in immune response, leading to inflammation. Past studies have shown that [18F]F-2-fluoro-2-deoxyglucose positron emission tomography-computed tomography ([18F]F-FDG PET/CT) can be used effectively for the detection of inflammatory activity, especially in conditions like hidradenitis suppurativa, psoriasis, and early atherosclerosis.
View Article and Find Full Text PDFJ Dtsch Dermatol Ges
January 2025
Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Background And Objectives: Patients with cutaneous lymphomas (CL) are at an increased risk of developing secondary malignancies. This study aimed to assess the frequency of association between CL and Kaposi sarcoma (KS) and to identify factors that may promote the co-occurrence of these two diseases.
Patients And Methods: On January 25, 2024, we conducted a systematic search of four electronic medical databases to identify all published cases of KS associated with CL.
Tumor necrosis factor-alpha (TNF-α) inhibitors are commonly used for management of various autoimmune disorders but can rarely cause isolated cutaneous lupus. This report presents two cases of cutaneous lupus erythematosus (LE) in women aged 38 and 61 after adalimumab treatment for psoriasis highlighting the importance of recognizing these paradoxical reactions for timely management.
View Article and Find Full Text PDFJID Innov
March 2025
AMPEL BioSolutions LLC, Charlottesville, Virginia, USA.
Abnormalities in gene expression profiles characterize patients with inflammatory skin diseases, including psoriasis, and changes may reflect the action of specific therapeutic agents. To examine this, gene expression analysis of psoriatic skin was assessed by Gene Set Variation Analysis using informative gene modules, and longitudinal data were analyzed to assess the impact of various treatments. Ridge penalized logistic regression was employed to derive a transcriptomic score.
View Article and Find Full Text PDFNarra J
December 2024
Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. The aim of this study was to evaluate deep learning models for automated classification of psoriasis severity. A dataset containing 1,546 clinical images was subjected to pre-processing techniques, including cropping and applying noise reduction through median filtering.
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