Prediction of the severity of allergic reactions to foods.

ABSTRACT:

Background

There is currently considerable uncertainty regarding what the predictors of the severity of diagnostic or accidental food allergic reactions are, and to what extent the severity of such reactions can be predicted.

Objective

To identify predictors for the severity of diagnostic and accidental food allergic reactions and to quantify their impact.

Methods

The study population consisted of children with a double-blind, placebo-controlled food challenge (DBPCFC)-confirmed food allergy to milk, egg, peanut, cashew nut, and/or hazelnut. The data were analyzed using multiple linear regression analysis. Missing values were imputed using multiple imputation techniques. Two scoring systems were used to determine the severity of the reactions.

Results

A total o

SUBMITTER: Pettersson ME 

PROVIDER: S-EPMC6033096 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature