癌症相关血栓流行病学的趋势和最新情况:系统综述

Ang Li, Emily Zhou
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摘要

对于癌症患者来说,癌症相关血栓形成(CAT)是一种严重的并发症。本综述总结了过去十年中 CAT 的最新流行病学情况。我们对 2011 年至 2024 年间发布的相关人群队列研究进行了全面分析。在未经选择的癌症患者中,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);然而,在需要系统治疗的晚期癌症患者中,风险上升到 6-8%(与匹配的非癌症人群相比增加了 20 倍)。抗凝治疗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%。癌症的类型、分期和治疗方法、静脉血栓栓塞症(VTE)病史、长期住院或固定不动以及肥胖都是诱发 CAT 的重要临床预测因素。修改后的维也纳-CATS 和 EHR-CAT 在使用经外部验证的原始 Khorana 评分骨干的 CAT 临床风险预测评分中表现最佳(曲线下面积为 0.68-0.71)。然而,要保证这些模型的适当实施和使用,还需要进行更多的研究。即使采用了现代抗肿瘤治疗方法,CAT 仍是癌症患者的主要并发症。我们鼓励血液科医生、数据科学家、流行病学家和肿瘤学家之间的跨学科合作,以确保将定制的 VTE 风险评估纳入标准的肿瘤治疗中。
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Trends and updates on the epidemiology of cancer-associated thrombosis: a systematic review
For cancer patients, cancer-associated thrombosis (CAT) is a serious complication. An updated epidemiology of CAT over the last ten years is summarized in this review. A comprehensive analysis of pertinent population cohort research released between 2011 and 2024 was carried out. In patients with unselected cancers, the 12-month incidence of CAT is roughly 3-5% (9-fold increase vs to the matched non-cancer population); however, in patients with advanced cancers requiring systemic therapy, the risk rises to 6-8% (20-fold increase vs. to the matched non-cancer population). Anticoagulation use and adherence have improved, but the risk of recurrence is still high, at 5-8% at 6 months and 7-15% at 12 months. The type, stage, and treatment of cancer, a history of venous thromboembolism (VTE), prolonged hospitalization or immobilization, and obesity are significant clinical predictors of the development of CAT. The modified Vienna-CATS and EHR-CAT have the best performance (area under the curve 0.68-0.71) among the clinical risk prediction scores for CAT using the original Khorana score backbone that has been externally validated. However, additional research is required to guarantee appropriate implementation and utilization of these models. Even with contemporary antineoplastic treatments, CAT is still a major complication for cancer patients. We encourage interdisciplinary partnerships among hematologists, data scientists, epidemiologists, and oncologists to guarantee the integration of customized VTE risk evaluation into standard oncologic treatment.
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