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February 8, 2026Antimicrobial Resistance and Infection Control0 citationsOpen Access

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

FRFerenc Darius RütherHumboldt-Universität zu BerlinMBMichael BehnkeHumboldt-Universität zu BerlinCGChristine GeffersHumboldt-Universität zu Berlin

Key Points

  • This research aims to enhance understanding of hospital-onset bacteraemia (HOB) using automated surveillance.
  • Conducted a retrospective single-centre study at Charité university hospital from 2018 to 2022.
  • Applied an extended PRAISE automated algorithm to analyze electronic health records.
  • Calculated HOB rates per 1,000 patient days, segmented by ward types.
  • Analyzed characteristics of HOB cases, including microorganism distribution and antimicrobial resistance.
  • Included data from 3,648,254 patient days and 7,256 HOB cases with 8,357 microorganisms identified.
  • Pooled HOB rate was 6.0 per 1,000 patient days in intensive care units, lower in non-intensive care units.
  • Approximately 34.5% of HOB cases were potentially secondary, with respiratory tract sources most common.
  • Identified 13.2% of microorganisms as multidrug-resistant, with significant resistance among Acinetobacter baumannii.
  • Case fatality rate within 14 days of HOB onset was 16.2%.

Abstract

Abstract Background Hospital-onset bacteraemia and fungaemia (HOB) has emerged as a novel surveillance metric in recent years and a prime target for automation of surveillance of healthcare-associated infections. However, real-life HOB data from European institutions remain scarce. This study explores the epidemiology of HOB at a German university hospital and describes characteristics of HOB cases. Methods A retrospective single-centre study was conducted by applying an extended version of the Providing a Roadmap for Infection Surveillance in Europe (PRAISE) automated HOB algorithm to data from the electronic health records of all in-hospital patients admitted to Charité university hospital between 2018 and 2022. HOB rates per 1,000 patient days were calculated for different groups of wards. Furthermore, the distribution of microorganisms, share of antimicrobial resistance, and source of possible secondary HOB (defined as HOB-causing pathogens detected in relevant clinical samples other than blood) were analysed. Additionally, patient characteristics and outcomes were investigated. Results A total of 3,648,254 patient days and 7,256 HOB with 8,357 microorganisms were included. The pooled HOB rate was 6.0 per 1,000 patient days in intensive care units, and between 0.9 and 2.0 in the various groups of non-intensive care units. Around 34.5% (n = 2,505) of HOB were deemed potentially secondary, with respiratory tract (37.6%, n = 943) being the most common source. A total of 1,106 of 8,357 (13.2%) microorganisms were classified as multidrug-resistant, including 60.5% (23 of 38) of Acinetobacter baumannii with resistance to carbapenems. Case fatality within 14 days of HOB onset was 16.2% (990 of 6,093 patients). Conclusions Analysis of electronic health record data provides important insights into the epidemiology and characteristics of HOB cases. Substantial rates of antimicrobial resistance and case fatality underscore the relevance of HOB as an IPC metric. Results from this study may inform refinement of algorithms for automated HOB surveillance.

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Cite This Study

Rüther et al. (2026) studied this question.

synapsesocial.com/papers/6988278b0fc35cd7a88466cchttps://doi.org/10.1186/s13756-026-01708-9
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