开发和验证一个风险模型来预测手术内输血的风险模型
Annika Eyth1, Felix Borngaesser1,2, Maíra I Rudolph1,3
1Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York.
JAMA network open
|April 17, 2025
概括
一个新的模型可以预测哪些手术患者在手术期间需要包装红细胞 (pRBC),从而减少浪费. 输血工具精确识别高风险患者,改善血液管理策略.
科学领域:
- 输血医学 输血医学
- 外科手术的结果
- 预测分析是一种预测分析.
背景情况:
- 浪费的包装红细胞 (pRBC) 代表了稀缺资源的重大损失.
- 有效利用pRBC对于患者的血液管理至关重要.
研究的目的:
- 开发和验证一个预测模型,用于识别手术患者的高风险的手术内PRBC输血.
- 目标是尽量减少输血血液制品的浪费.
主要方法:
- 一项使用来自两个四级医院网络的医院注册数据的预后研究.
- 用一步向后回归来开发一个基于24个手术前预测器的计算模型.
- 该模型被内部和外部验证.
主要成果:
- 开发的模型,TRANSFUSE,在识别需要手术内pRBC输血的患者时表现出高的预测准确性 (AUC 0.93).
- 该模型的性能优于已建立的输血风险理解评分工具.
- 关键预测因素包括非行走状态,ASA身体状态,INR,重复/紧急手术以及各种患者健康因素.
结论:
- 该TRANSFUSE模型准确地预测了手术患者的手术内PRBC输血需求.
- 这个工具可以在手术前使用,以优化pRBC订单并减少浪费.
- 它提供了一种有价值,可访问的方法,用于改善手术环境中的血液管理.
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