中国输血杂志2026，Vol.39Issue(1)：51-55,5.DOI:10.13303/j.cjbt.issn.1004-549x.2026.01.007
外科手术红细胞需求预测模型应用评价
Evaluation of the application of a predictive model for red blood cell demand in surgical procedures
蔡晓谕 1封彦楠 2马春娅 1庄远 1于洋1
作者信息
- 1. 解放军总医院第一医学中心 输血医学科,北京 100853
- 2. 四川省肿瘤医院 电子科技大学附属肿瘤医院 输血科,四川 成都 610041
- 折叠
摘要
Abstract
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.关键词
预测模型/机器学习/红细胞输注/应用评价Key words
predictive models/machine learning/red blood cell transfusion/application evaluation分类
医药卫生引用本文复制引用
蔡晓谕,封彦楠,马春娅,庄远,于洋..外科手术红细胞需求预测模型应用评价[J].中国输血杂志,2026,39(1):51-55,5.
