Developing a Prediction Model for Determination of Peanut Allergy Status in the Learning Early About Peanut Allergy (LEAP) Studies.

ABSTRACT:

Background

The Learning Early About Peanut Allergy (LEAP) study team developed a protocol-specific algorithm using dietary history, peanut-specific IgE, and skin prick test (SPT) to determine peanut allergy status if the oral food challenge (OFC) could not be administered or did not provide a determinant result.

Objective

To investigate how well the algorithm determined allergy status in LEAP; to develop a new prediction model to determine peanut allergy status when OFC results are not available in LEAP Trio, a follow-up study of LEAP participants and their families; and to compare the new prediction model with the algorithm.

Methods

The algorithm was developed for the LEAP protocol before the analysis of the primary outcome. Subsequently, a prediction model was devel

SUBMITTER: Sever ML 

PROVIDER: S-EPMC11837399 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature