在血液性恶性瘤中验证静脉血栓栓塞预测模型
Agnerys López Sacerio1, Mara Caridad Tejeda Ramón2, Aliuska Morales Helguera3
1Hematology Department, Arnaldo Milián University Hospital, Santa Clara, Cuba. alopezsacerio@gmail.com.
Annals of hematology
|October 2, 2023
概括
一个新的模型准确地预测了血液瘤 (HM) 的住院患者的静脉血栓栓塞 (VTE) 风险. 这种经过验证的工具有助于识别高风险个体,以便制定更好的VTE预防策略.
科学领域:
- 血液学 血液学 血液学
- 在瘤学瘤学.
- 血管医学 血管医学
背景情况:
- 现有的静脉血栓塞栓症 (VTE) 风险分层分数不足以代表患有血液性恶性瘤 (HM) 的患者.
- 需要有效的预测工具来评估VTE风险,特别是在住院的HM患者中.
研究的目的:
- 开发和验证一个逻辑回归模型,用于预测住院HM患者的VTE风险.
- 通过内部和外部验证,评估开发的VTE预测模型的准确性和区分能力.
主要方法:
- 一项前性病例控制研究涉及496名住院的HM患者 (2010年12月至2020年).
- 使用285名患者的数据开发了一个后勤回归模型,包括高胆固醇血症,瘤活性,血栓性药物,糖尿病和固定等因素.
- 内部验证使用了引导式分析,外部验证对211名HM患者的单独队列进行.
主要成果:
- 该VTE预测模型在内部验证中表现出强的表现,AUC为0.838,准确率为80.1%.
- 外部验证显示高精度 (82.9%),AUC为0.900,以及有利的预测值 (NPV 89.7%,PPV 67.7%).
- 在外部验证队列中,该模型表现出良好的灵敏度 (74.6%) 和特异性 (86.2%).
结论:
- 开发的VTE预测模型是一种可重复和简单的工具,用于评估住院HM患者的VTE风险.
- 该模型表现出良好的准确性和区别,支持其临床实用性.
- 这种经过验证的工具可以帮助预防性VTE风险管理血液恶性瘤患者.
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