Assessment of egg and milk allergies among Indians by revalidating a food allergy predictive model☆

ABSTRACT:

Background

The recent upsurge in food allergy indicates the need for accurate medical diagnostics. The application of predictive diagnostic models can envisage the outcome of oral food challenge (OFC), reducing cost and time. A logistic regression model was developed by DunnGalvin for children predicting OFC outcome using six predictors viz: sex, age, history, specific IgE, total IgE minus specific IgE, and skin prick test. This model was later updated by Klemans, reducing the number of predictors enhancing the calibration and discrimination of outcome.

Objective

Our aim was to revalidate both the models for assessment of egg and milk allergies among Indians in the age group 0–19 years and to determine regression coefficients for our study population.

Methods

Rev

SUBMITTER: Laha A 

PROVIDER: S-EPMC8956949 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature