Predictive Models for Betalactam Allergy

Drug Hypersensitivity

Betalactam, Decision tree, Drug hypersensitivity, Logistic regression, Predictive modelling

Background: ß-lactam (BL) antibiotics represent the main cause of allergic reactions to drugs, inducing both immediate and non-immediate reactions. The diagnosis is well established, usually based upon skin tests and drug provocation tests, but cumbersome. Objectives: To design predictive models for the diagnosis of BL allergy, based on the clinical history of patients with suspicions of allergic reactions to BL. Methods: The study included a retrospective phase in which records of patients consulting and explored for a suspicion of BL allergy (in the Allergy Unit of the University Hospital of Montpellier between September 1996 and September 2012) where used to construct predictive models; a prospective phase, in which we performed an external validation of the chosen models, in patients with suspicion of BL allergy recruited from 3 allergy centres (Montpellier, Nîmes, Narbonne), between March and November 2013. Data related to clinical history and allergy work-up results were retrieved and analysed. Logistic regression and decision tree method were used to design two models to predict the diagnosis of allergy to BL.

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