Creating a prediction model for invasive candidiasis in the intensive care unit using a case control design: a European multicentre approach
Predicting which ICU patient will develop invasive candidiasis remains challenging, despite using an alternative methodology in a large multinational database. The performance of this prediction model is not good enough to be used in clinical practice.
Authors
- Jeroen Schouten (ORCID: https://orcid.org/0000-0001-9118-4420)
- Jochem B. Buil (ORCID: https://orcid.org/0000-0003-4031-0778)
- Elmien Bronkhorst (ORCID: https://orcid.org/0000-0002-6872-5417)
- Matteo Bassetti (ORCID: https://orcid.org/0000-0002-0145-9740)
- Antonio Vena (ORCID: https://orcid.org/0000-0002-0697-3992)
- P M B Benders
Institutions
- Radboud University Nijmegen (NL)
- Martin University (US)
- Radboud University Medical Center (NL)
- Radboud Institute for Molecular Life Sciences (NL)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1186/s12879-025-10644-9
- Primary Topic
- Antifungal resistance and susceptibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Pfizer
- Merck
- Gilead Sciences