外科手术红细胞需求预测模型应用评价OA

Objective To assess the clinical application value of a prediction model for red blood cell(RBC)demand in surgical procedures.Methods Demographic data,laboratory parameters,anesthesia and transfusion records,and model prediction data were retrospectively collected from surgical patients at the First Medical Center of Chinese PLA General Hos-pital between 2018 and 2024.Statistical analysis was performed using the Chi-square test,t-test,and Mann-Kendall trend test.Results From 2018 to 2024,the predictive model for RBC demand in surgical procedures was used to evaluate a total of 112 293 surgeries.During this period,the model call rate(77.49%-98.91%,P<0.05),compliance rate(56.81%-84.92%,P<0.05),and prediction accuracy rate(66.82%-94.17%,P<0.05)all showed significant upward trends.The total blood usage across the hospital(13645.4-7723.5 units,P<0.05)and the average blood usage per surgery(0.21-0.1 units,P<0.05)exhibited overall downward trends.Postoperative average hemoglobin levels in the non-compliance group(112.1-105.3 g/L in the non-compliance group vs 106.9-92.7 g/L in the compliance group,P<0.05)and the in-traoperative excessive transfusion rate(5.06%-6.05%in the non-compliance group vs 0.09%-0.04%in the compliance group,P<0.05)were significantly higher in the non-compliance group compared to the compliance group.Conclusion The predictive model for RBC demand in surgical procedures has played a positive role in conserving blood resources,opti-mizing blood resource allocation,and reducing intraoperative risks.