Development and Validation of a Clinical Prediction Model for Stages of Acute Kidney Injury in Critically Ill Patients
Using readily available predictors in the ICU setting, we could develop a prediction model for different stages of AKI with good performance and promising clinical usefulness. Our findings serve as an initial step towards applying a valid and timely prediction model for AKI severity, possibly helping to limit morbidity and improve patient outcomes.
Authors
- Nam Nguyen-Hoang (ORCID: https://orcid.org/0000-0003-4291-3767)
- Harold Snieder (ORCID: https://orcid.org/0000-0003-1949-2298)
- Jacqueline Koeze (ORCID: https://orcid.org/0000-0002-4660-3400)
- Gerton A. Lunter (ORCID: https://orcid.org/0000-0002-3798-2058)
- Wenbo Zhang (ORCID: https://orcid.org/0000-0001-9478-9353)
- Eric Keus
Institutions
- University Medical Center Groningen (NL)
- University of Groningen (NL)
Publication Details
- Journal
- Kidney Diseases
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1159/000545150
- Citations
- 2
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- China Scholarship Council
- Universitair Medisch Centrum Groningen