Phenotypes of atopic dermatitis identified by cluster analysis in early childhood

Area of Science:

• Dermatology
• Pediatrics
• Immunology

Background:

• Atopic dermatitis is a chronic inflammatory skin condition with variable clinical presentations.
• Disease course and treatment efficacy in atopic dermatitis can be influenced by distinct phenotypes and endotypes.
• Understanding early childhood atopic dermatitis phenotypes is essential for personalized management.

Purpose of the Study:

• To identify and characterize distinct clinical phenotypes of atopic dermatitis in children under three years of age.
• To explore the relationship between clinical presentation, biomarkers, and allergen sensitization in early childhood atopic dermatitis.
• To investigate the heterogeneity of atopic dermatitis even in the early stages of the disease.

Main Methods:

• Cluster analysis was performed on data from 572 children under three years old diagnosed with atopic dermatitis.
• Eleven clinical and laboratory variables were analyzed to identify distinct patient clusters.
• Predictive modeling was used to assess the strength of specific variables in classifying these phenotypes.

Main Results:

• Four distinct clinical phenotypes of early childhood atopic dermatitis were identified.
• Phenotypes were characterized by varying levels of blood eosinophils, immunoglobulin E, C-reactive protein, and allergen sensitization (food and inhalant).
• Age at onset, age at diagnosis, white blood cell count, eosinophil count, C-reactive protein, and serum total immunoglobulin E were key predictors, achieving 95.5% classification accuracy.

Conclusions:

• Atopic dermatitis exhibits significant heterogeneity even in early childhood, with identifiable clinical phenotypes.
• These findings underscore the importance of recognizing distinct subtypes for potentially tailored treatment strategies.
• The identified predictors offer a robust method for classifying atopic dermatitis phenotypes in young children.