Predicting Cow's Milk Challenge Outcomes in Children: Multivariate Analysis of Clinical Predictors

Area of Science:

• Allergy and Immunology
• Pediatric Allergy
• Clinical Diagnostics

Background:

• Oral food challenges (OFCs) are the standard for diagnosing food allergies and determining reactivity thresholds.
• However, OFCs are resource-intensive and carry a risk of adverse reactions.
• Limited data exists on factors predicting positive OFC outcomes.

Purpose of the Study:

• To identify factors associated with positive cow's milk oral food challenges (OFCs).
• To develop a predictive model for cow's milk OFC outcomes in pediatric patients.

Main Methods:

• A single-blind, placebo-controlled OFC to cow's milk was administered to 111 children (aged 5-18).
• Factors analyzed included medical history, skin prick test size, and serum IgE levels to specific milk proteins.
• A multivariate Firth bias-reduced logistic regression model was developed and validated using receiver operator characteristic (ROC) curves.

Main Results:

• 103 out of 111 children reacted to the OFC.
• Univariate analysis identified skin prick test size, prior epinephrine use, asthma history, and specific milk protein IgE levels as significant.
• The final multivariate model incorporating log-transformed casein and prior epinephrine use demonstrated strong predictive performance (AUC 0.928).

Conclusions:

• Logistic multivariate models incorporating log-transformed casein and prior epinephrine use can effectively predict OFC outcomes in pediatric patients.
• This model offers a valuable tool for risk stratification and clinical decision-making.
• Further validation with larger datasets is recommended.