A dynamic nomogram for predicting intraoperative blood transfusion needs

A dynamic nomogram model has been developed to aid in intraoperative blood transfusion decision-making, demonstrating strong predictive capabilities. Utilizing data from 1,410 surgical patients, the model identifies key independent risk factors such as surgical grading, estimated blood loss, and preoperative hemoglobin levels. With a remarkable area under the curve (AUC) of 0.983, it provides timely insights to support healthcare providers in optimizing transfusion strategies, ultimately enhancing patient safety and resource management.