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淋巴瘤相关静脉血栓的影响因素及风险评估模型的研究进展
引用本文:杨婧诗,邹立群. 淋巴瘤相关静脉血栓的影响因素及风险评估模型的研究进展[J]. 中国全科医学, 2021, 24(23): 2992-2997. DOI: 10.12114/j.issn.1007-9572.2021.00.600
作者姓名:杨婧诗  邹立群
作者单位:1.610041四川省成都市,四川大学华西临床医学院
2.610041四川省成都市,四川大学华西医院肿瘤一科
*通信作者:邹立群,教授,主任医师; E-mail:hxlcyxy@163.com
摘    要:静脉血栓(VTE)是恶性肿瘤的常见并发症,亦是导致肿瘤患者死亡的第二位非肿瘤致死因素。淋巴瘤是VTE发病率较高的肿瘤之一,然而,目前针对淋巴瘤相关VTE风险的危险因素以及防治方法尚未达到一致共识。因此,本文将结合最新指南及文献总结,将淋巴瘤相关VTE的影响因素及预测模型作一综述,分别介绍与淋巴瘤疾病本身、临床检验指标以及抗肿瘤治疗相关的VTE危险因素。同时,将4种VTE预测模型(即:Khorana评分、Ottawa评分、Michigan评分以及ThroLy评分)对淋巴瘤VTE风险的预测价值进行分析,为淋巴瘤相关VTE的防治提供新的指导。

关 键 词:淋巴瘤  静脉血栓  影响因素  预后模型  综述  

New Progression in Influencing Factors and Risk Prediction Models for Lymphoma-associated Venous Thromboembolism
YANG Jingshi,ZOU Liqun. New Progression in Influencing Factors and Risk Prediction Models for Lymphoma-associated Venous Thromboembolism[J]. Chinese General Practice, 2021, 24(23): 2992-2997. DOI: 10.12114/j.issn.1007-9572.2021.00.600
Authors:YANG Jingshi  ZOU Liqun
Affiliation:1. West China School of Medicine,Sichuan University,Chengdu 610041,China
2. No.1 Department of Oncology,West China Hospital,Sichuan University,Chengdu 610041,China
*Corresponding author:ZOU Liqun,Professor,Chief physician;E-mail:hxlcyxy@163.com
Abstract:Venous thromboembolism(VTE)is a common complication,and the second leading non-cancer cause of death in cancer patients. Lymphoma is a type of cancer with a high incidence of VTE. However,there is no consensus on the risk factors and prevention methods for lymphoma-associated VTE. To provide the latest guidance on the prevention and treatment of lymphoma-associated VTE,in reviewing the recent guidelines and literature,we overviewed the influencing factors of lymphoma-associated VTE,including types and treatment of lymphoma,clinical laboratory indicators and anti-tumor therapies. Besides that,we also summarized and analyzed the recently developed risk prediction models for lymphoma-associated VTE,including the Khorana Risk Score,Ottawa Score,Michigan Risk Score and ThroLy Lymphoma Score.
Keywords:Lymphoma  Venous thromboembolism  Influence factors  Prognostic model  Review  
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