Objective sensitization algorithm validates parental report of food allergy in children

Area of Science:

• Pediatric Allergy and Immunology
• Clinical Epidemiology
• Diagnostic Accuracy Studies

Background:

• Oral food challenges, the gold standard for diagnosing food allergy, are costly, risky, and impractical for large cohorts.
• Existing subjective screening tools, like parental reports of physician-diagnosed food allergy, lack validation.

Purpose of the Study:

• To assess the agreement between parental reports of physician-diagnosed food allergy and a diagnostic algorithm utilizing objective sensitization markers in children.
• To validate subjective screening tools for food allergy diagnosis in pediatric research.

Main Methods:

• Longitudinal data from the Mechanisms of Progression of Atopic Dermatitis to Asthma in Children (MPAACH) cohort were analyzed over four annual visits.
• A food allergy algorithm based on a validated tool, incorporating objective sensitization markers, was used for diagnosis.
• Evaluations covered common allergens: milk, egg, peanut, tree nuts, wheat, and soy.

Main Results:

• The study included 563 children from the MPAACH cohort, with 6972 evaluations across six food allergens.
• Parental report of physician-diagnosed food allergy demonstrated a positive predictive value of 64.5% and a negative predictive value of 99.1% compared to the algorithm.
• Agreement between parental report and the algorithm remained consistent over time for the top three food allergens.

Conclusions:

• Parental reports of physician-diagnosed food allergy are highly effective in ruling out food allergy in children.
• Relying solely on positive parental reports may lead to an overdiagnosis of food allergy in pediatric studies.
• Further research is needed to refine subjective screening tools for more accurate food allergy diagnosis.