Abstract

Abstract Background Penicillin allergy is the most commonly reported drug allergy in the pediatric population. However, most reports do not represent true IgE-mediated or late-onset severe hypersensitivity reactions. False allergy labels can lead to unnecessarily broad and/or non-first line antibiotic utilization, the development of antibiotic resistance, adverse drug side effects, and have implications for the use of antimicrobials in adulthood. In an effort to decrease inappropriate allergy labeling, we have implemented a multipronged approach for the evaluation of documented beta-lactam allergies in pediatric patients and potential “de-labeling” of inaccurate or outdated allergies. Methods We performed retrospective chart review of pediatric patients (0-18 years) with a documented beta-lactam allergy who were seen in clinic at a single tertiary medical center between 2014-2019. Prospective telephone screening then began to further characterize reaction symptoms and timing to determine patient candidacy for allergy testing (Fig. 1). Inpatient screening began in April 2022. If amenable to referral, eligible patients are then referred for outpatient Allergy and Immunology (A/I) assessment. Figure 1Process map for pediatric beta-lactam allergy risk-stratifying algorithm. Results A total of 1160 eligible pediatric patients were identified, and initial results are summarized (Fig. 2). Of those screened, 48 (57%) patients were referred. 5 (6%) patients were de-labeled via screening, of which 3 had received and tolerated repeat dosing. 11 (33%) patients have attended allergy appointments; 4 (36%) were tested and all were de-labeled (ages 6-11 years) from mostly non-IgE-mediated reactions. Additionally, 16 patients have upcoming appointments, and recruitment efforts are ongoing to include increased inpatient recruitment. Conclusion Use of an inpatient and outpatient algorithm can help identify pediatric patients less likely to have a true or persistent beta-lactam allergy (delayed-onset mild symptoms, or IgE-mediated reaction >5 years ago) and who could benefit from formal allergy testing to potentially remove their allergy label. In the future, algorithm implementation within the electronic medical record may assist clinicians in thorough documentation of beta-lactam allergies and expeditious referral for allergy testing when appropriate. Disclosures All Authors: No reported disclosures.

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