Natural history of sesame allergy in pediatric patients: Insight from a retrospective analysis.

Background: Sesame allergy (SA) is a growing concern because of its association with severe reactions and the limited knowledge of long-term outcomes.

Objective: This retrospective study aimed to identify the risk factors influencing persistent SA (PSA) in children to improve management and select suitable candidates for oral immunotherapy (OIT).

Methods: We analyzed the electronic medical records of 84 children with confirmed SA, as defined by consistent clinical reactions and immunoglobulin E (IgE)-mediated sensitization. Patients were followed for a median (IQR) of 56.5 (46.0-82.5) months.

Results: Most participants were male (72.6%) with concurrent food allergies (71.4%). They experienced a median (IQR) of 3.0 (2.0-3.7) allergic episodes, with 46.4% experiencing at least one anaphylactic reaction. PSA was observed in 82.1% (69/84) of the patients. A larger skin prick test (SPT) wheal size at the first reaction (adjusted OR = 1.79, CI:1.05-3.04; p = .03) and allergic reaction grade≥2 (adjusted OR = 19.93, CI:1.37-289.13; p = .02) were independent risk factors for persistence. A 3-fold increase in the likelihood of persistence was observed in patients with SPT results greater than 6.7 mm at first reaction compared with those with results less than 6.7 mm during follow-up (HR = 3.08; CI:1.17-8.12; p = .02). Patients with sustained or increased SPT wheal size (93% remained allergic) and specific IgE (95% remained allergic) at the final visit were more likely to have PSA, whereas those with decreased levels (37% and 39% developed natural tolerance, respectively) were less likely to have resolved SA.

Conclusions: This study identified novel risk factors for PSA, including SPT wheal size at the first reaction, reaction severity, and sustained sensitization markers. These findings can inform management strategies and the selection of OIT candidates. Further long-term studies are crucial to elucidate the natural history of SA across populations and to evaluate early interventions, such as OIT.