首页> 外文期刊>Thrombosis Research: An International Journal on Vascular Obstruction, Hemorrhage and Hemostasis >Emerging risk stratification approaches to cancer-associated thrombosis: risk factors, biomarkers and a risk score.
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Emerging risk stratification approaches to cancer-associated thrombosis: risk factors, biomarkers and a risk score.

机译:癌症相关血栓形成的新出现风险分层方法:危险因素,生物标志物和风险分数。

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摘要

Cancer patients are well-known to be at increased risk of venous thromboembolism (VTE). However, the risk varies widely between patients and over the natural history of malignancy. Recent data have identified multiple clinical risk factors as well as biomarkers predictive of VTE. Risk factors include patient-associated factors such as age, obesity and medical comorbidities, cancer-associated factors such as site and stage of cancer, and treatment-associated factors, particularly chemotherapy and anti-angiogenic therapy. Biomarkers associated with increased risk of cancer-associated VTE include leukocyte count, platelet count, and levels of tissue factor, P-selectin and D-dimer. This review focuses on the evidence for risk stratification of cancer patients, based on these risk factors and biomarkers, as well as a recently validated predictive model which can be used to identify patients at highest risk. Targeted thromboprophylaxis utilizing model-based and/or biomarker-based approaches may provide an optimal risk-benefit ratio and is currently the focus of ongoing clinical trials.
机译:癌症患者众所周知,静脉血栓栓塞(VTE)的风险增加。然而,风险在患者与恶性自然历史之间存在广泛。最近的数据已经确定了多种临床风险因素以及预测VTE的生物标志物。风险因素包括患者相关因素,如年龄,肥胖和医疗合并症,癌症相关因素,如癌症的现场和阶段,以及治疗相关因素,特别是化疗和抗血管生成治疗。与癌症相关VTE的风险增加相关的生物标志物包括白细胞计数,血小板计数和组织因子,p-选择素和D-二聚体的水平。本综述重点介绍了基于这些风险因素和生物标志物的癌症患者风险分层的证据,以及最近经过验证的预测模型,可用于识别最高风险的患者。利用基于模型和/或基于生物标志物的方法的靶向血栓血栓药可以提供最佳风险效益比,目前是正在进行的临床试验的重点。

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