Development of A Personalized Treatment Algorithm for Pediatric Atopic Dermatitis Based on Molecular Allergy Diagnostics

Background. Atopic dermatitis is one of the most common chronic inflammatory skin diseases in children, characterized by early onset, recurrent course, and significant impact on quality of life. The heterogeneity of clinical manifestations and allergen sensitization profiles makes standard treatment approaches insufficiently effective. Recent advances in molecular allergy diagnostics, including component-resolved diagnostics, allow identification of individual allergen sensitization patterns and support personalized treatment strategies. However, the development of personalized treatment algorithms based on molecular allergy diagnostics in children with atopic dermatitis remains insufficiently studied. Aim. To develop a personalized treatment algorithm for children with atopic dermatitis based on molecular allergy diagnostics using Phadia 200 (ImmunoCAP) and MADx ALEX platforms. Materials and Methods. This prospective study will be conducted at the Republican Specialized Scientific-Practical Allergology Center between 2023 and 2026. A total of 200 children aged 3–18 years diagnosed with atopic dermatitis will be included. Clinical assessment will include dermatological examination, allergic history evaluation, and disease severity assessment using the SCORAD index. Laboratory investigations will include complete blood count, eosinophil count, and total IgE measurement. Molecular allergy diagnostics will be performed using Phadia 200 (ImmunoCAP) and MADx ALEX platforms to determine individual allergen sensitization profiles. Personalized treatment strategies will be developed based on obtained results. Statistical analysis will be performed using SPSS software, with p<0.05 considered statistically significant. Results. The study is expected to identify individual allergen sensitization profiles and their association with disease severity, frequency of exacerbations, and comorbid allergic diseases. Implementation of personalized treatment algorithms is expected to reduce disease severity, improve treatment effectiveness, and decrease recurrence frequency in children with atopic dermatitis. Conclusion. Molecular allergy diagnostics plays an important role in developing personalized treatment strategies for children with atopic dermatitis. Implementation of personalized approaches may improve diagnostic accuracy, enhance treatment effectiveness, and improve quality of life in pediatric patients.

Ҳали таржима қилинмаган