Forecasting of Atopic Dermatitis in Newborns

Area of Science:

• Pediatrics
• Immunology
• Dermatology

Background:

• Early forecasting of pathological processes is vital for effective patient management and resource allocation.
• Mathematical models offer a rational approach to disease prediction.
• Understanding the future health trajectory of patients is essential for medical professionals.

Purpose of the Study:

• To investigate the forecasting of atopic dermatitis (AD) in newborns.
• To identify key indicators for predicting AD development in infants.

Main Methods:

• Analysis of 109 clinical and laboratory indicators in newborns with and without AD.
• Application of discriminant analysis for diagnostic issue resolution.
• Utilizing the KU-Kruskal-Wallis discriminant criterion for forecasting rule formation.

Main Results:

• Identification of main indicators for forecasting AD in children.
• Evaluation of sensitivity, specificity, and diagnostic value of predictive factors.
• Statistically significant differences in factors contributing to AD formation were determined.

Conclusions:

• Rhinitis, cluster of differentiation 31, mucin 2, and intestinal trefoil factor 3 were identified as significant predictors in the AD model.
• These factors demonstrate a higher influence in the development of atopic dermatitis.
• The study provides a basis for mathematical forecasting of AD in newborns.