Risk Prediction Model for Postoperative Acute Kidney Injury in a Broad Surgical Population
The model demonstrated excellent discrimination and calibration, particularly in the temporal validation set. The model has potential to help identify high-risk patients preoperatively, guiding perioperative interventions to reduce AKI incidence and the associated healthcare costs. Further studies are needed to validate, refine, and study real-world applications of the model in diverse clinical settings.
Authors
- Joel F. Bradley (ORCID: https://orcid.org/0000-0001-6452-8013)
- Barbara J. Martin (ORCID: https://orcid.org/0000-0002-6239-280X)
- Cassandra Hennessy
- M. Shotwell
- Stephen W Behrman
Institutions
- Baptist Memorial Health Care (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of the American College of Surgeons
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1097/xcs.0000000000001868
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00