ArticleInfection control and hospital epidemiology2025
Automated surveillance of hospital-onset bacteremia and fungemia: feasibility and epidemiological results from a Dutch multicenter study.
Article in Infection control and hospital epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- National automated surveillance of hospital onset bacteraemia and fungaemia using data from the national antimicrobial resistance surveillance system: a retrospective exploratory evaluation, the Netherlands, 2018 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Advancing hospital-onset bacteraemia surveillance: a five-year retrospective study following the hospital-wide implementation of an automated surveillance system at a German university hospital.Antimicrobial resistance and infection control · 2026Article
- Letter to the editor: Towards effective implementation of hospital-onset bacteraemia and fungaemia as a quality metric.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveHospital-onset bacteremia and fungemia (HOB) has been suggested as a suitable and automatable surveillance target to include in surveillance programs, however differences in definitions across studies limit interpretation and large-scale implementation. We aimed to apply an automated surveillance system for HOB in multiple hospitals using a consensus definition, and describe HOB rates. DESIGN AND
settingRetrospective cohort study in four Dutch hospitals: 1 tertiary hospital and 3 secondary hospitals. PATIENTS: All patients admitted for at least one overnight stay between 2017 and 2021 were included, except patients in psychiatry wards.
methodsData from the electronic health records and laboratory information system were used to identify HOBs based on the PRAISE consensus definition. HOB rates were calculated at ward and micro-organism-level.
resultsHospital-wide HOB rates varied from 1.0 to 1.9, and ICU rates varied from of 8.2 to 12.5 episodes per 1000 patient days. The median time between admission and HOB was 8-13 days. HOBs were predominantly caused by Enterobacterales, Enterococci,
conclusionsApplying a fully automated definition for HOB surveillance was feasible in multiple centers with different data infrastructures, and enabled detection of differences over time at ward and micro-organism-level. HOB surveillance may lead to prevention initiatives in the future.
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