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.
Journal Article by Li M, Jiang W (…) Qin L et 3 al. in Front Med (Lausanne)
Copyright © 2025 Li, Jiang, Lin, Du, Shan and Qin.