scholarly journals Occupational skin diseases from 1997 to 2004 at the Department of Dermatology, University Hospital of Northern Norway (UNN): an investigation into the course and treatment of occupational skin disease 10–15 years after first consultations with a dermatologist

2016 ◽  
Vol 75 (1) ◽  
pp. 30100 ◽  
Author(s):  
Rosemarie Braun ◽  
Lars Kåre Dotterud
Keyword(s):  
Skin Disease ◽  
Skin Diseases ◽  
University Hospital ◽  
Occupational Skin Disease ◽  
Occupational Skin Diseases ◽  
Northern Norway

scholarly journals Occupational Skin Disease Prevention: An Educational Intervention for Hairdresser Cosmetology Students

2017 ◽  
Vol 65 (11) ◽  
pp. 539-545 ◽  
Author(s):  
Kara Haughtigan ◽  
Eve Main ◽  
Tonya Bragg-Underwood ◽  
Cecilia Watkins
Keyword(s):  
Experimental Design ◽  
Educational Intervention ◽  
Skin Disease ◽  
Skin Diseases ◽  
Preventive Strategies ◽  
Behavioral Strategies ◽  
Occupational Skin Disease ◽  
Occupational Skin Diseases ◽  
Preventive Practices ◽  
Quasi Experimental

Cosmetologists frequently develop occupational skin disease related to workplace exposures. The purpose of this study was to evaluate an educational intervention to increase cosmetology students’ occupational skin disease knowledge and use of preventive practices. A quasi-experimental design was used to evaluate students’ knowledge, behaviors, intentions, expectancies, and expectations. A 20-minute verbal presentation and printed two-page educational handout were provided for participants. Statistically significant increases in knowledge, frequency of glove use, and frequency of moisturizer use were found, but the frequency of handwashing did not increase. In addition, the Behavioral Strategies subscale, the Intention subscale, and the Expectancies subscale showed statistically significant improvements. The results of this study suggest an educational intervention can increase cosmetology students’ knowledge of occupational skin diseases and their use of preventive strategies.

scholarly journals P.2.04 Occupational skin disease in a tertiary occupational dermatologic clinic: a retrospective analysis from 2010 to 2017

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A88.2-A88
Author(s):  
Heng-Hao Chang ◽  
Bour-Jr Wang ◽  
How-Ran Guo ◽  
I-Ru Lee
Keyword(s):  
Contact Dermatitis ◽  
Patch Testing ◽  
Skin Disease ◽  
Skin Diseases ◽  
Potassium Dichromate ◽  
University Hospital ◽  
Occupational Skin Disease ◽  
Duration Of Symptoms ◽  
Dermatology Clinic ◽  
Patient Reported

BackgroundOccupational skin disease (OSD) is one of the most common occupational disorders in Taiwan. As reporting OSD was not compulsory, there was limited information on the exact causes and patient characteristics. The objective of this study was to investigate the causes and common allergens among OSD patients in Taiwan.MethodsWe recruited patients from Occupational Dermatology Clinic in National Cheng Kung University Hospital, a tertiary referral center in Tainan city, between 1 January 2010 and 31 July 2017. Patch testing with European baseline series, additional occupation-oriented series, and personal material exposed at work or during daily life was carried out if the patients were suspected of allergic skin diseases.ResultsAmong the 273 patients who received patch testing, 51 (18.7%) patients had a final diagnosis of OSD. 82.4% of the 51 patients were diagnosed with allergic contact dermatitis (ACD), 11.8% with irritant contact dermatitis (ICD), while the rest 5.9% with both. Patient reported 3.0 years of skin problem prior to the clinic visit. The vast majority of patients suffered from hand eczema. Epoxy resin workers, food workers, hairdressers and beauty salon beauticians were the most common occupations related to OSD. The most important allergens were nickel, fragrance mix I, potassium dichromate and paraben mix. Around half of the patients showed allergic reaction to their personal material.DiscussionAs worker compensation statistics may not accurately estimate the characteristics of OSD patients, our study was crucial to identify the high-risk groups as well as the common allergens related to their work. Although the results might not represent the proportion of patients of OSD in other clinic, drawing information from patch testing may reflect those patients of severer or longer duration of symptoms. Future occupational measures should be taken on these industries for the detection and prevention of OSD.

scholarly journals Prevalence and Pattern of Diseases of The Skin and Subcutaneous Tissue in A Primary Care Area in Thailand

2021 ◽  
Vol 73 (6) ◽  
pp. 357-362
Author(s):  
Sakchai Chaiyamahapurk ◽  
Prateep Warnnissorn
Keyword(s):  
Primary Care ◽  
Atopic Dermatitis ◽  
Skin Disease ◽  
Skin Diseases ◽  
Subcutaneous Tissue ◽  
Seborrheic Dermatitis ◽  
Decubitus Ulcer ◽  
Population Based ◽  
University Hospital ◽  
Period Prevalence

Objective: Information on the population-based prevalence study of skin diseases is still lacking.  The study explores the prevalence and pattern of diagnosed skin diseases of the population in a primary care area of a university hospital in Thailand.Materials and Methods: Skin disease patients were identified using the International Statistical Classification of Diseases and Related Health Problems 10th Revision codes (L00-L99).  Retrospective data were obtained from the hospital electronic medical record between 2015-2019.  The number of clinic visits and the number of skin disease diagnoses were counted.  The five-year period prevalence was calculated by dividing the number of cases by the population in the primary care area.Results: During the five-year period, in a population of 29,969, we found 3,770 patients (12.6% of 29,969 population) who made 7,433 outpatient visits with the diagnoses of skin diseases.  Infections of the skin and subcutaneous tissues were the most common (37.3%), followed by dermatitis (29.7%), urticaria and erythema (13.9%), other disorders of the skin and subcutaneous tissue (8.6%), and papulosquamous disorders (1.7%).  The five-year period prevalence of skin diseases per 100,000 persons was as following: cellulitis (2,296), urticaria (1,682), psoriasis (177), atopic dermatitis (420), seborrheic dermatitis (227), alopecia areata (50), vitiligo (23), and pemphigus (10).Conclusion: Infection and dermatitis were the two most common skin diseases in the primary care area population.  Atopic dermatitis, psoriasis, seborrheic dermatitis, and decubitus ulcer were less commonly found.  Our prevalence data should be the “at least” prevalence of skin diseases due to possible underreporting.

Development of Dermatological Skin Disease Detection and Classification based on Wavelet and ANN

2018 ◽  
Vol 8 (5) ◽  
pp. 10
Author(s):  
Revati Kadu ◽  
U. A. Belorkar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Skin Disease ◽  
Skin Diseases ◽  
Screening Method ◽  
Phase Detection ◽  
Statistical Measures ◽  
The World ◽  
Artificial Neural ◽  
Wavelet Techniques

One of the most common and augmenting health problems in the world are related to skin. The most  unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection  and classification phase.

scholarly journals Single-cell RNA-seq reveals fibroblast heterogeneity and increased mesenchymal fibroblasts in human fibrotic skin diseases

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Cheng-Cheng Deng ◽  
Yong-Fei Hu ◽  
Ding-Heng Zhu ◽  
Qing Cheng ◽  
Jing-Jing Gu ◽  
...  
Keyword(s):  
Single Cell ◽  
Skin Disease ◽  
Skin Diseases ◽  
Rna Seq ◽  
Fibrotic Disease ◽  
Functional Studies ◽  
Fibrotic Diseases ◽  
Fibroblast Heterogeneity ◽  
Keloid Fibroblasts ◽  
Excessive Accumulation

AbstractFibrotic skin disease represents a major global healthcare burden, characterized by fibroblast hyperproliferation and excessive accumulation of extracellular matrix. Fibroblasts are found to be heterogeneous in multiple fibrotic diseases, but fibroblast heterogeneity in fibrotic skin diseases is not well characterized. In this study, we explore fibroblast heterogeneity in keloid, a paradigm of fibrotic skin diseases, by using single-cell RNA-seq. Our results indicate that keloid fibroblasts can be divided into 4 subpopulations: secretory-papillary, secretory-reticular, mesenchymal and pro-inflammatory. Interestingly, the percentage of mesenchymal fibroblast subpopulation is significantly increased in keloid compared to normal scar. Functional studies indicate that mesenchymal fibroblasts are crucial for collagen overexpression in keloid. Increased mesenchymal fibroblast subpopulation is also found in another fibrotic skin disease, scleroderma, suggesting this is a broad mechanism for skin fibrosis. These findings will help us better understand skin fibrotic pathogenesis, and provide potential targets for fibrotic disease therapies.

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