对风险预测得分的比较分析,包括所有类型的癌症相关血栓瘤
Irene González Caraballo1, Bárbara Lobato Delgado2, Magdalena Ruiz Zamorano3
1Hospital General Universitario Gregorio Marañón, Universidad Complutense, Madrid, Spain. irene.gctm@gmail.com.
概括
在癌症患者中,MICA-CATS评分最好预测整体静脉血栓栓塞 (VTE),包括偶发的血栓事件. 这项研究比较了在瘤学中对VTE的几种风险评估得分.
科学领域:
- 在瘤学瘤学.
- 血液学 血液学 血液学
- 临床风险评估临床风险评估
背景情况:
- 在癌症患者中发生血栓事件的传统风险模型忽略了偶然和非传统的血栓形成.
- 这些被忽视的事件,如导管相关血栓塞 (CRT) 和静脉血栓塞 (SVT),有助于患者的发病率和医疗费用.
研究的目的:
- 评估和比较五个风险评估分数 (Khorana,PROTECHT,CONKO,修改的维也纳-CATS,MICA-CATS) 对癌症患者所有类型的血栓事件的预测性能.
- 在这个人群中确定预测静脉血栓塞栓症 (VTE) 的最有效得分.
主要方法:
- 一项观察性多中心前性研究 (ONCOTHROMB12-01) 包括391名接受门诊系统治疗的癌症患者.
- 在2018年至2021年期间,西班牙11家医院收集了数据.
- 评估了Khorana,PROTECHT,CONKO,修改后的VIENA-CATS和MICA-CATS得分的预测性能.
主要成果:
- 共有95名患者 (24.3%) 经历了血栓事件.
- MICA-CATS得分显示了所有血栓事件的最高预测能力,AUROC为0.61和AUPRC为0.38.
- 对于偶发的血栓事件,PROTECHT (AUROC 0.62) 和MICA-CATS (AUROC 0.60) 均显示出有用性.
结论:
- 在癌症患者中,MICA-CATS评分是整体静脉血栓塞栓症 (VTE) 的最有效预测指标.
- 目前的风险评估模型可能需要更新,以包括更广泛的血栓事件.
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