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风险评估模型用于预测胰腺癌患者的静脉血栓栓塞
Corinne Frere1,2, Sophie Gourgou3, Audrey Winter3
1Department of Hematology, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, F-75013 Paris, France.
Cancers
|February 26, 2025
概括
像Khorana,PROTECHT和ONKOTEV这样的风险评估模型 (RAM) 在预测胰腺癌患者的静脉血栓塞栓症 (VTE) 方面表现不佳. 在这个人群中,需要新的工具来有效地做出血栓预防决定.
科学领域:
- 在瘤学瘤学.
- 血液学 血液学 血液学
- 临床流行病学临床流行病学
背景情况:
- 静脉血栓栓塞 (VTE) 是胰腺癌 (PC) 患者接受化疗的重大风险.
- 关于目前风险评估模型 (RAMs) 在这个特定的患者群体中预测VTE的性能,数据有限.
研究的目的:
- 为了对Khorana,PROTECHT和ONKOTEV RAM进行对比.
- 评估这些RAM在接受门诊化疗的PC患者中对VTE的预测准确性和歧视性性能.
主要方法:
- 一项针对762名新诊断PC患者 (BACAP队列) 的前性多中心研究.
- 霍拉纳,PROTECHT和ONKOTEV的分数是在化疗前的入学时计算的.
- 在6个月内追踪VTE事件;使用时间依赖的Brier分数和c指数进行绩效评估.
主要成果:
- 在6个月内,VTE的累积发病率为16.4%.
- 所有RAM都显示出良好的校准 (布赖尔分数:0.14),但差异性差 (c指数从0.50到0.53).
- 在所有模型中,分发危险比率表明中等和高风险层之间的VTE风险差异最小.
结论:
- 霍拉纳,PROTECHT和ONKOTEV得分表现出预测门诊化疗PC患者VTE的性能不足.
- 发展和验证新的风险评估工具,以指导这种脆弱人群中的血栓预防策略,是非常必要的.
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