| 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 |