The risk prediction model showed excellent discrimination and calibration in identifying patients at high risk for postoperative acute kidney injury.
Can a risk prediction model accurately identify high-risk patients for postoperative acute kidney injury in a broad surgical population?
A risk prediction model demonstrated excellent discrimination and calibration for identifying surgical patients at high risk for postoperative acute kidney injury.
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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.
Shotwell et al. (Mon,) reported a other. The risk prediction model showed excellent discrimination and calibration in identifying patients at high risk for postoperative acute kidney injury.