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.

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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
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article

Risk Prediction Model for Postoperative Acute Kidney Injury in a Broad Surgical Population

Joel F. Bradley, Barbara J. Martin, Cassandra Hennessy, M. Shotwell et al.
Journal of the American College of Surgeons
Acute Kidney Injury Research
article

Risk Prediction Model for Postoperative Acute Kidney Injury in a Broad Surgical Population

Joel F. Bradley, Barbara J. Martin, Cassandra Hennessy, M. Shotwell, Stephen W Behrman
article en

Abstract

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.

Journal of the American College of Surgeons
Baptist Memorial Health Care (US), Vanderbilt University Medical Center (US)
Reduced inequalities
Openalex Percentile: Top 53%
Acute Kidney Injury Research
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