Abstract
Abstract Background This study aimed to use data analytics to retrospectively identify the prevalence of inpatients across a system of hospitals with a BAAL who received and tolerated the culprit or related beta-lactam (BL) without proper documentation in the allergy profile of the electronic medical record (EMR). Findings from this study could prioritize direct non-invasive delabeling opportunities as a feasible process measure for resource limited antimicrobial and diagnostic stewardship programs (ADSP). Methods Eligible patients were generated by a data analyst using the Northwestern Medicine (NM) Enterprise Data Warehouse. Patients eligible for inclusion: 1) adults > 18 years of age, 2) inpatients at a NM System Hospital (NMSH) with > 1 overnight stay between 8/1/2020 and 8/1/2022, 3) a BAAL in the allergy profile of the EMR, and 4) received > 1 dose of a BL during the study period. Patients who only received aztreonam were excluded. The primary objective of this study was to determine the prevalence of inpatients with a BAAL who received and tolerated the culprit BL antibiotic during the study period without proper documentation in the allergy profile of the EMR. The secondary objectives were 1) to determine the prevalence of inpatients with a BAAL who received and tolerated a related BL antibiotic during the study period without proper documentation in the allergy profile of the EMR and 2) to determine the prevalence of reported BL allergy reactions and severity risk. Results Results of our study identified up to 751 inpatient BAALs (9.7%), including 87 BAALs of high priority, as valuable targets for early direct non-invasive delabeling, requiring minimal effort and resources from ADSP. Conclusion Using data analytics to empirically assess digital allergy information could streamline the antimicrobial stewardship process, proactively identifying and prioritizing BAALs to cast a wider net and efficiently achieve process measure outcomes related to allergies compared to conventional methods of delabeling. Disclosures Anju T. Peters, MD MSCI, Astra Zeneca: Advisor/Consultant|Astra Zeneca: Grant/Research Support|Merck: Advisor/Consultant|Merck: Grant/Research Support|Optinose: Advisor/Consultant|Sanofi Regeneron: Advisor/Consultant|Sanofi Regeneron: Grant/Research Support
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