Articles - Clinical Presentation of Atopic Dermatitis and Psoriasis

The study investigates the genomic profiling of patients with psoriasis, atopic dermatitis (AD), and an overlap phenotype between the two conditions. It finds that the overlap phenotype exhibits molecular features predominantly associated with psoriasis, suggesting that genomic biomarkers can effectively differentiate between psoriasis and AD at the molecular level.

The Atopic Dermatitis Quality of Care Initiative was launched to address the misdiagnosis and undertreatment of atopic dermatitis (AD) by identifying barriers to care and promoting good practice interventions. Key findings highlighted the importance of using validated diagnostic criteria, established scoring tools, and fostering communication among healthcare providers and patients to improve clinical assessment and diagnosis of AD.

The research discusses the shift in understanding atopic dermatitis (AD) from its pathogenesis to treatment, emphasizing the need for personalized approaches due to the condition's complexity and heterogeneity. Recent advancements in identifying biomarkers and immune pathways are driving a translational revolution in AD therapies, aiming for targeted treatments based on individual patient characteristics.

This research paper discusses the prevalence and challenges of severe atopic dermatitis in infants, emphasizing the need for age-specific management and early identification for potential prevention of comorbidities. It also highlights the importance of distinguishing between severe AD and immunodeficiency. The paper provides recommendations for systemic treatment and updates on general management.

Atopic dermatitis is a common inflammatory disease that can also affect the elderly population. It presents with eczematous lesions and severe itching, which can significantly impact daily life and sleep. Treatment with biological agents may be effective and safe for moderate-to-severe cases in older adults.

AI is being used in dermatology, specifically in the diagnosis and treatment of psoriasis. This review discusses current applications and potential future directions for AI in this field.

Psoriasis is a chronic skin disease caused by an immune system dysfunction, resulting in scaly plaques on the skin. It is not contagious and can be worsened by smoking and tobacco use. There are various types of psoriasis, with plaque psoriasis being the most common.

AD is a chronic skin condition with varying severity and persistence. Current clinical practice and trials do not routinely assess the longitudinal course of AD, which can affect treatment outcomes. Incorporating the heterogenous temporal pattern of AD into routine practice can improve patient expectations and prognosis. Further research is needed to develop a standardized approach to assessing and treating AD.

This systematic review examines the various phenotypes and associated characteristics of atopic dermatitis. The majority of studies focus on disease severity, with a minority using data-driven approaches. There is a lack of uniformity and consistency in the use of phenotypes across studies.

Psoriasis is a chronic inflammatory disease that affects a small percentage of the world population. This review proposes a classification system to distinguish between cutaneous and systemic psoriasis, which could aid in better management of the disease.

Atopic dermatitis is a chronic inflammatory disease that affects the skin and can have a negative impact on quality of life. It is associated with systemic inflammatory disorders and can lead to other comorbidities such as allergies and respiratory issues. The disease is characterized by breakdown of the skin barrier and increased levels of immunoglobulin E.