Derivation and Validation of an Electronic Health Record Penicillin Allergy De-Labeling Prevalence Measure

Kimberly G Blumenthal; Bohang Jiang; Andrew J King; Jushin T Mann; Yuqing Zhang; Alysse G Wurcel

doi:10.1093/cid/ciae641

Derivation and Validation of an Electronic Health Record Penicillin Allergy De-Labeling Prevalence Measure

Clin Infect Dis. 2024 Dec 21:ciae641. doi: 10.1093/cid/ciae641. Online ahead of print.

Authors

Kimberly G Blumenthal^{1

2

3}, Bohang Jiang³, Andrew J King³, Jushin T Mann⁴, Yuqing Zhang^{1

2

3}, Alysse G Wurcel⁴

Affiliations

¹ Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
² Harvard Medical School, Boston, Ma, USA.
³ Rheumatology and Allergy Clinical Epidemiology Research Center, The Mongan Institute, Boston, MA, USA.
⁴ Tufts University School of Medicine, Boston, MA, USA.

PMID: 39708368
DOI: 10.1093/cid/ciae641

Abstract

With no standard method to capture penicillin allergy de-labeling prevalence across populations, we developed and validated a simple penicillin allergy de-labeling prevalence measure from electronic health records that achieved perfect sensitivity (100.0%), high specificity (99.4%), and strong agreement with a comprehensive algorithm that included free-text manual review (Kappa=0.997).

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