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Potential Risk Factors for Hospital-Onset Bloodstream Infections – Initial Findings Within the RISK PRINCIPE Project for Data-Driven Clinical Decision Support

Title: Potential Risk Factors for Hospital-Onset Bloodstream Infections – Initial Findings Within the RISK PRINCIPE Project for Data-Driven Clinical Decision Support
Authors: Kesselmeier, Miriam; Hoogestraat, Anna Thalea; Baumgartl, Tom; Bludau, Anna; Boenniger, Meta Miriam; Marquet, Mike; Naim, Joelle; Reinoso-Schiller, Nicolas; Hagel, Stefan; Schmitz, Tadea; Spreckelsen, Cord; Uschmann, Sebastian; Wiesenfeldt, Martin; Von Landesberger, Tatiana; Wulff, Antje; Pletz, Mathias; Scheithauer, Simone; Scherag, André; Marschollek, Michael; Househ, Mowafa S.; Tariq, Zain Ul Abideen; Al-Zubaidi, Mahmood; Shah, Uzair; Huesing, Elaine
Contributors: Kesselmeier, Miriam; Hoogestraat, Anna Thalea; Baumgartl, Tom; Bludau, Anna; Boenniger, Meta Miriam; Marquet, Mike; Naim, Joelle; Reinoso-Schiller, Nicolas; Hagel, Stefan; Schmitz, Tadea; Spreckelsen, Cord; Uschmann, Sebastian; Wiesenfeldt, Martin; Von Landesberger, Tatiana; Wulff, Antje; Pletz, Mathias; Scheithauer, Simone; Scherag, André; Marschollek, Michael; Househ, Mowafa S.; Tariq, Zain Ul Abideen; Al-Zubaidi, Mahmood; Shah, Uzair; Huesing, Elaine
Publisher Information: IOS Press
Publication Year: 2025
Collection: Georg-August-Universität Göttingen: GoeScholar
Description: 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.
Document Type: book part
Language: unknown
DOI: 10.3233/SHTI251149
Availability: https://resolver.sub.uni-goettingen.de/purl?gro-2/150995; https://doi.org/10.3233/SHTI251149
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.324B2DBC
Database: BASE