Evidence Hub

Real-Life Application of the Penicillin Allergy Decision Rule (PEN-FAST) Score in De-Labeling Penicillin Allergy: A Case Series

Begum F, Dhlandhlara TJ, Qazi N, Ugurlu A, Mukherjee R

Cureus, 2026

Abstract

Penicillin allergies are common but frequently inaccurate, resulting in unnecessary use of broad-spectrum antibiotics and contributing to antibiotic resistance. Tools such as the Penicillin Allergy Decision Rule (PEN-FAST) support the assessment of penicillin allergy risk and can help identify low-risk individuals who may be appropriate candidates for a direct oral penicillin challenge. We report four cases of patients hospitalized with respiratory infections, including infective exacerbation of bronchiectasis, bronchopneumonia, and empyema thoracis, all with documented penicillin allergy labels. In each case, a more detailed review of the allergy history revealed reactions inconsistent with IgE-mediated hypersensitivity reactions, including isolated diarrhea, leg swelling, and delayed rashes. All patients had a PEN-FAST score of 0, which indicated a low risk of a true penicillin allergy. These patients underwent supervised direct oral challenges with amoxicillin or co-amoxiclav, which revealed no adverse reactions. Following a successful oral challenge, penicillin allergies were de-labeled, and the patients were started on optimal antibiotic treatment. All cases revealed favorable outcomes, such as improvements in inflammatory markers and symptoms.

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free