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Updated: Sep 25, 2025

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Published on: May 31, 2021
A Risk-Based Approach to Penicillin Allergy.
1Department of Infectious Diseases, Centre for Antibiotic Allergy and Research, Austin Health, 145 Studley Road, Heidelberg, Victoria 3084, Australia; Department of Medicine, Austin Health, University of Melbourne, Heidelberg 3084, Australia.
Penicillin allergy risk stratification identifies low, moderate, and high-risk phenotypes. Tailored testing strategies, including oral challenges and skin testing, ensure successful penicillin allergy evaluation.
Area of Science:
- Clinical immunology
- Pharmacology
- Allergy and immunology
Background:
- Penicillin allergy is a common clinical concern, leading to broad-spectrum antibiotic avoidance.
- Accurate penicillin allergy assessment is crucial for appropriate antimicrobial prescribing.
- Risk stratification can guide diagnostic testing, improving efficiency and safety.
Purpose of the Study:
- To outline a systematic approach for penicillin allergy risk stratification.
- To define specific penicillin allergy testing strategies for different risk phenotypes.
- To improve the diagnostic accuracy and management of penicillin allergy.
Main Methods:
- Risk stratification into low, moderate, and high-risk phenotypes based on clinical history.
- Direct oral challenge for low-risk individuals.
- Skin testing followed by oral challenge for moderate-risk individuals.
- Specialist review and/or skin testing for high-risk individuals.
Main Results:
- Successful deployment of dedicated penicillin allergy testing strategies for each risk type.
- Identification of distinct phenotypes allows for tailored diagnostic approaches.
- This approach facilitates accurate penicillin allergy diagnosis in diverse healthcare settings.
Conclusions:
- Penicillin allergy can be effectively risk stratified in both hospital and outpatient settings.
- Tailored penicillin allergy testing strategies based on risk assessment lead to successful outcomes.
- This systematic approach enhances patient care by optimizing antibiotic selection and reducing unnecessary avoidance.
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