Automated surveillance of hospital-onset bacteremia and fungemia: feasibility and epidemiological results from a Dutch multicenter study

• DOI: 10.1017/ice.2025.29
• Publication Date: 2025-02-26T08:38:37Z
• Authors: Manon A.C.M. Brek...; Anne L.M. Vlek; Yvonne van Dijk; Annelies E. Smilde; Annemarie J.L. We...; Herman F. Wunderink; Hanneke Boon; Saara Vainio; Wendy S. Bril; Jan A.J.W. Kluytmans; Marc J.M. Bonten; Maaike S.M. van M...
• Keywords: Fungemia; Bacteremia

Abstract Objective: Hospital-onset bacteremia and fungemia (HOB) has been suggested as a suitable automatable surveillance target to include in programs, however differences definitions across studies limit interpretation large-scale implementation. We aimed apply an automated system for HOB multiple hospitals using consensus definition, describe rates. Design setting: Retrospective cohort study four Dutch hospitals: 1 tertiary hospital 3 secondary hospitals. Patients: All patients admitted at least one overnight stay between 2017 2021 were included, except psychiatry wards. Methods: Data from the electronic health records laboratory information used identify HOBs based on PRAISE definition. rates calculated ward micro-organism-level. Results: Hospital-wide varied 1.0 1.9, ICU of 8.2 12.5 episodes per 1000 patient days. The median time admission was 8–13 predominantly caused by Enterobacterales, Enterococci, S. aureus coagulase-negative staphylococci. Longitudinal detected over micro-organism level; example increased observed during COVID-19 pandemic. Sensitivity analyses demonstrated impact assumptions regarding collection confirmatory blood cultures common commensals. Conclusions: Applying fully definition feasible centers with different data infrastructures, enabled detection may lead prevention initiatives future.