Li Ang, Zhou Emily
Section of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, TX.
McGovern Medical School, University of Texas Health Science Center, Houston, TX.
Bleeding Thromb Vasc Biol. 2024 May;3(Suppl 1). doi: 10.4081/btvb.2024.108. Epub 2024 May 16.
Cancer associated thrombosis (CAT) is a significant complication for patients with cancer. This review summarizes an updated epidemiology of CAT in the past decade.
A systematic review was conducted on relevant population cohort studies published 2011-2024.
The 12-month incidence of CAT among patients with unselected cancers is approximately 3-5% (9-fold increase vs. matched non-cancer population); although the risk increases to 6-8% in patients with advanced cancers requiring systemic therapy (20-fold increase vs. matched non-cancer population). Despite improvement in anticoagulation usage and adherence, recurrence risk remains high at 5-8% at 6 months and 7-15% at 12 months. Important clinical predictors of CAT development are cancer type, cancer stage, cancer treatment, prior venous thromboembolism (VTE) history, prolonged hospitalization or immobilization, and obesity. Several clinical risk prediction scores for CAT utilizing the initial Khorana score backbone have been externally validated, and the modified Vienna-CATS (Pabinger 2018) and EHR-CAT (Li 2023) have the highest performance (Area Under the Curve 0.68-0.71), though more studies are needed to ensure adequate implementation and usage of these models.
CAT remains a significant complication for patients with cancer even with modern antineoplastic therapies. We encourage multidisciplinary collaborations between hematologists, oncologists, epidemiologists, and data scientists to ensure the adoption of personalized VTE risk assessment in routine oncologic care.
癌症相关血栓形成(CAT)是癌症患者的一种重要并发症。本综述总结了过去十年中CAT的最新流行病学情况。
对2011年至2024年发表的相关人群队列研究进行系统综述。
未选择的癌症患者中CAT的12个月发病率约为3%-5%(与匹配的非癌症人群相比增加了9倍);尽管在需要全身治疗的晚期癌症患者中,风险增加到6%-8%(与匹配的非癌症人群相比增加了20倍)。尽管抗凝药物的使用和依从性有所改善,但复发风险仍然很高,6个月时为5%-8%,12个月时为7%-15%。CAT发生的重要临床预测因素包括癌症类型、癌症分期、癌症治疗、既往静脉血栓栓塞(VTE)病史、长期住院或制动以及肥胖。利用最初的科拉纳评分框架的几种CAT临床风险预测评分已在外部得到验证,改良的维也纳-CATS(帕宾格,2018年)和电子健康记录-CAT(李,2023年)表现最佳(曲线下面积为0.68-0.71),不过还需要更多研究来确保这些模型的充分实施和应用。
即使采用现代抗肿瘤治疗,CAT对癌症患者来说仍然是一种重要并发症。我们鼓励血液科医生、肿瘤内科医生、流行病学家和数据科学家之间开展多学科合作,以确保在常规肿瘤护理中采用个性化的VTE风险评估。