使用三个预测模型评估血液癌症患者静脉血栓栓塞的风险
Hanaa Ali El-Sayed1, Maha Othman2,3,4, Hanan Azzam1
1Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Journal of cancer research and clinical oncology
|November 7, 2023
概括
这项研究评估了血液癌症患者静脉血栓栓塞 (VTE) 的风险评估模型. 修改后的维也纳癌症和血栓形成研究 (V-CATS) 结果显示,对预测静脉瘤事件的特异性有所改善.
科学领域:
- 血液学 血液学 血液学
- 在瘤学瘤学.
- 血栓形成研究研究
背景情况:
- 静脉血栓栓塞 (VTE) 风险分层对于化疗前的癌症患者至关重要.
- 现有的风险评估模型 (RAMs) 在血液恶性瘤中缺乏验证.
- 准确的VTE预测指导了血栓预防的必要性.
研究的目的:
- 为了验证维也纳癌症和血栓形成研究 (V-CATS) 在血液恶性瘤中对VTE风险预测的得分.
- 将V-CATS得分与Khorana得分 (KS) 的预测性能进行比较.
- 开发和评估修改后的V-CATS评分,以改善VTE风险评估.
主要方法:
- 对接受化疗的81名新诊断的癌症患者进行前性队列研究.
- 收集了人口统计,临床和癌症特异性数据;对VTE事件进行了6个月的患者随访.
- 计算了Khorana得分 (KS),测量了血D-二聚合物和sP-选择素,计算了V-CATS得分,并使用ROC分析开发了一个修改的V-CATS得分.
主要成果:
- 8名患者 (9.8%) 发生了静脉瘤事件;非霍奇金淋巴瘤是最常见的癌症 (39.5%).
- 修改后的V-CATS得分表明,在切断值≥3时,VTE发生的概率为100%,表现优于KS和V-CATS.
- 在ROC分析中,修改后的V-CATS得分显示,与V-CATS和KS (P=0.047和P=0.029,分别) 相比,曲线下的面积 (AUC) 显著更高.
结论:
- 该研究验证了RAMs (包括KS和V-CATS) 在预测血液恶性瘤中VTE的有用性.
- 与V-CATS和KS相比,修改后的V-CATS得分表现出更高的特异性,所有模型的灵敏度都相似.
- 鼓励在血液癌症中实施RAM,以实现最佳的血栓预防策略.
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