Surgeons now have a validated model to predict acute kidney injury in surgical patients, crucial for improving outcomes and reducing costs.

• AKI incidence was 1.8% in the training set and 2.4% in the external validation set.
• The model achieved an AUC of 0.87-0.88 and identified key risk factors: inpatient status, ascites, renal failure, preoperative creatinine, sepsis, ASA classification, and age.

This tool can guide preoperative assessments, allowing targeted interventions to mitigate AKI risk.

• Further studies are needed to refine the model for diverse clinical environments.