一个基于单个单位红细胞输血的完整血液样本的预测分数模型
Prakarn Sawatdee1, Oytip Nathalang1, Dollapak Apipongrat2
1Graduate Program in Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani, Thailand.
概括
一个新的评分模型准确地预测哪些患者需要一次红细胞输血. 这种工具有助于优化红细胞输血决策,改善患者的护理.
科学领域:
- 血液学
- 输血医学
背景情况:
- 红细胞 (RBC) 输血对于运输氧气至关重要.
- 确定一个单个红细胞单位输血的最佳触发器仍然是一个挑战.
研究的目的:
- 开发一个预测评分系统,即一个单位的红细胞输血要求评分模型 (1RTRSM).
- 评估全血细胞计 (CBC) 参数和人口统计数据在预测输血需求方面的有用性.
主要方法:
- 一次红细胞输血的10995名患者的回顾性分析.
- 基于年龄,性别,ABO/RhD和CBC参数的评分工具的开发和未来试点测试.
- 使用接收器操作特征 (ROC) 曲线分析来确定最佳分数切线.
主要成果:
- 一个单位红细胞输血的主要预测因子:男性性别,年龄≥43岁,Hb< 8. 9g/ dL,RDW≥15. 0%,PLT< 229. 9×103/ μL,MPV< 9. 9fL.
- 1RTRSM获得了87%的准确性,89%的敏感性和85%的特异性,截止分数为5.
- 试点测试显示各部门的准确率为85%.
结论:
- 新的1RTRSM是预测输血需求的简单,有效和可靠的工具.
- 这种模型可以在各种临床环境中帮助优化单个红细胞单位输血决策.
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