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Potential Risk Factors for Hospital-Onset Bloodstream Infections - Initial Findings Within the RISK PRINCIPE Project

Miriam Kesselmeier1, Anna Thalea Hoogestraat2, Tom Baumgartl3

  • 1Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.

Studies in Health Technology and Informatics
|August 8, 2025
PubMed

Healthcare-associated infections (HAI) are a significant burden to patients, hospitals, health systems and society. Infection prevention and control measures are well established and evidence-based, however, no detailed risk assessment is included aiming at personalized IPC measures. In preparation of an individual risk assessment application for decision support for hospital-onset bloodstream infections (HOBSI), we present initial findings of re-analyses of a dataset including 4290 patients from a large study. We applied logistic regression modeling and a random forest approach to identify candidate risk parameters available in routine hospital data.

Keywords:
Sepsisclinical decision supportinfectionprediction models

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