Abstract
BackgroundStaphylococcus bacteremia is a major healthcare burden and currently there is no widely recommended treatment algorithm. Our institution adopts all elements of antimicrobial stewardship including rapid diagnostic testing. Despite these efforts, management of staphylococcus bacteremia continues to be problematic. The objective of this project is to evaluate implementation of a pharmacist-driven algorithm to guide treatment selection for staphylococcus bacteremia.MethodsThis is a single center, IRB-approved cohort study with a retrospective and prospective phase. The algorithm was designed in collaboration with the infectious disease (ID) service. Retrospective data was collected from June 2019 through September 2019. The algorithm was implemented on October 1, 2019 and prospective data was collected through January 2020. Prospectively a pharmacy resident identified positive blood cultures and recommended treatment based on the algorithm. Patients 18 years of age or older with a positive blood culture for staphylococcus were included. Patients were excluded if treatment was initiated at an outside hospital. The primary outcome is algorithm adherence. Secondary outcomes include days to negative blood culture, days to de-escalation, length of hospital stay and whether ID was consulted.Treatment Algorithm ResultsA total of 64 patients were identified in the retrospective cohort and 46 in the intervention group. There were no significant differences in baseline characteristics. Algorithm adherence increased from 45% to 72% upon implementation (p=0.006). The algorithm resulted in a shorter time to de-escalation from 2.1 to 1.3 days (p=0.04). There were no statistically significant differences in days to negative blood culture, 2.3 vs. 2.2 days, or in average length of stay, 12.1 vs. 10.6 days in the retrospective and intervention groups, respectively. ID was consulted on 50% of patients in the retrospective cohort and 48% in the intervention group.ConclusionImplementation of a staphylococcus bacteremia treatment algorithm optimizes management. Additional layers of pharmacy involvement also result in a shorter time to de-escalation. These results highlight the importance of continuity of antimicrobial stewardship efforts.Disclosures All Authors: No reported disclosures
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