[1] Min L, Bao H, Bu F, et al. Machine-learning-assisted procoagulant extracellular vesicle barcode assay toward high-performance evaluation of thrombosis-induced death risk in cancer patients[J]. ACS Nano, 2023, 17(20):19914-19924. DOI: 10.1021/acsnano.3c04615.
[2] 中国临床肿瘤学会肿瘤与血栓专家委员会. 肿瘤相关静脉血栓栓塞症预防与治疗指南(2019版)[J]. 中国肿瘤临床,2019,46(13):653-660. DOI:10.3969/j.issn.1000-8179. 2019.13.765.
[3] Khorana AA, Kuderer NM, Culakova E, et al. Development and validation of a predictive model for chemotherapy-associated thrombosis[J]. Blood, 2008, 111(10):4902-4907. DOI: 10.1182/blood-2007-10- 116327.
[4] 中国临床肿瘤学会指南工作委员会.中国临床肿瘤学会(CSCO)肿瘤患者静脉血栓防治指南-2020[M]. 北京:人民卫生出版社,2020.
[5] Qin Y, Liang X, Wu H, et al. Development and validation of a modified khorana score for predicting venous thromboembolism in newly diagnosed stage IV lung cancer[J]. Angiology, 2023, 4:33197231213197. DOI: 10.1177/00033197231213197.
[6] Qin L, Liang Z, Xie J, et al. Estimating venous thromboembolism risk in metastatic colorectal cancer inpatients: validation of existing risk scores and development of new risk scores[J]. Clin Appl Thromb Hemost, 2023, 29:10760296231196859. DOI: 10.1177/10760296231196859.
[7] 黄菊,邵群. 肿瘤相关静脉血栓栓塞症的预防与治疗进展[J]. 中华医学杂志,2024,104(2):152-157. DOI:10.3760/cma.j.cn112137-20230920-00507.
[8] Lyman GH, Carrier M, Ay C, et al. American Society of Hematology 2021 guidelines for management of venous thromboembolism: prevention and treatment in patients with cancer[J]. Blood Adv, 2021, 5(4):927-974. DOI: 10.1182/bloodadvances.2020003442.
[9] Rubio-Jurado B, Balderas-Peña LM, García-Luna EE, et al. Obesity, thrombotic risk, and inflammation in cancer[J]. Adv Clin Chem, 2018, 85:71-89. DOI: 10.1016/bs.acc.2018.02.006.
[10] Xu J, Wang G, Chen X, et al. Efficacy and safety of rivaroxaban for the treatment of PICC-related upper extremity deep vein thrombosis in cancer patients: a retrospective study[J]. Thromb J, 2023, 21(1):15. DOI: 10.1186/s12959-023-00456-9.
[11] Falanga A, Marchetti M. Cancer-associated thrombosis: enhanced awareness and pathophysiologic complexity[J]. J Thromb Haemost, 2023, 21(6):1397-1408. DOI: 10.1016/j.jtha.2023.02.029.
[12] 宋丹. ≥60岁住院PICC置管患者深静脉血栓危险因素分析[J]. 国际医药卫生导报,2022,28(4):552-555. DOI:10.3760/cma.j.issn.1007-1245.2022.04.027.
[13] Carrier M, Abou-Nassar K, Mallick R, et al. Apixaban to prevent venous thromboembolism in patients with cancer[J]. N Engl J Med, 2019, 380(8):711-719. DOI: 10.1056/NEJMoa1814468.
[14] 张甲燚,陈玲,周宏,等. 肺肿瘤性血栓性微血管病的早期识别与处理[J]. 国际呼吸杂志,2023,43(7):745-751. DOI:10.3760/cma.j.cn131368-20230425-00268.
[15] Verheugt FWA, Fox KAA, Virdone S, et al. Outcomes of oral anticoagulation in atrial fibrillation patients with or without comorbid vascular disease: insights from the GARFIELD-AF registry[J]. Am J Med, 2023, 136(12):1187-1195.e15. DOI: 10.1016/j.amjmed.2023.08.019.
[16] Gerotziafas GT, Taher A, Abdel-Razeq H, et al. A predictive score for thrombosis associated with breast, colorectal, lung, or ovarian cancer: the prospective COMPASS-cancer-associated thrombosis study[J]. Oncologist, 2017, 22(10):1222-1231. DOI: 10.1634/theoncologist.2016-0414.
[17] Mulder FI, Candeloro M, Kamphuisen PW, et al. The khorana score for prediction of venous thromboembolism in cancer patients: a systematic review and meta-analysis[J]. Haematologica, 2019, 104(6):1277-1287. DOI: 10.3324/haematol.2018.209114.
[18] Zhang X, Chen X, Yang J, et al. Meta-analysis of alcohol consumption and venous thromboembolism[J]. J Public Health (Oxf), 2022, 44(3):477-498. DOI: 10.1093/pubmed/fdab045.
[19] Chen M, Ji M, Chen T, et al. Alcohol consumption and risk for venous thromboembolism: a meta-analysis of prospective studies[J]. Front Nutr, 2020,7:32. DOI: 10.3389/fnut.2020.00032.
[20] Johansson M, Johansson L, Wennberg M, et al. Alcohol consumption and risk of first-time venous thromboembolism in men and women[J]. Thromb Haemost, 2019,119(6):962-970. DOI: 10.1055/s-0039-1681100.
[21] Maia R, Neves I, Morais A,et al. Venous and lung thromboembolism in the context of lung cancer: clinical manifestations, risk factors and prognosis[J]. Acta Med Port, 2019, 32(10):647-653. DOI: 10.20344/amp.10260.
[22] 姚宇婷. 恶性肿瘤合并静脉血栓栓塞症临床特征及风险预测模型的评估[D]. 蚌埠: 蚌埠医学院,2022.DOI:10.26925/d.cnki.gbbyc.2021.000047.
[23] Lyman GH, Culakova E, Poniewierski MS, et al. Morbidity, mortality and costs associated with venous thromboembolism in hospitalized patients with cancer[J]. Thromb Res, 2018, 164 Suppl 1:S112-S118. DOI: 10.1016/j.thromres.2018.01.028.
[24] Riondino S, Ferroni P, Zanzotto FM, et al. Predicting VTE in cancer patients: candidate biomarkers and risk assessment models[J]. Cancers (Basel), 2019, 11(1):95. DOI: 10.3390/cancers11010095.
[25] Hiraide M, Shiga T, Minowa Y, et al. Identification of risk factors for venous thromboembolism and evaluation of Khorana venous thromboembolism risk assessment in Japanese lung cancer patients[J]. J Cardiol, 2020, 75(1):110-114. DOI: 10.1016/j.jjcc.2019.06.013.
[26] Reitter EM, Kaider A, Ay C, et al. Longitudinal analysis of hemostasis biomarkers in cancer patients during antitumor treatment[J]. J Thromb Haemost, 2016, 14(2):294-305. DOI: 10.1111/jth.13218.
[27] 王菲,王云飞,张志宇,等. 血清D-二聚体及肿瘤标志物水平预测老年Ⅲ~Ⅳ期肺腺癌患者合并静脉血栓栓塞的价值[J]. 中国实用医刊,2023,50(18):20-24. DOI:10.3760/cma.j.cn115689-20230606-02339.
[28] Ay C, Dunkler D, Marosi C, et al. Prediction of venous thromboembolism in cancer patients[J]. Blood, 2010, 116(24):5377-5382. DOI: 10.1182/blood-2010-02- 270116.
[29] Niimi K, Nishida K, Lee C, et al. Optimal D-dimer cutoff values for diagnosing deep vein thrombosis in patients with comorbid malignancies[J]. Ann Vasc Surg, 2024, 98:293-300. DOI: 10.1016/j.avsg.2023.06.033.
[30] Li S, Gao P, Qiu J, et al. A modified Khorana score as a risk assessment tool for predicting venous thromboembolism in newly diagnosed advanced lung cancer[J]. J Thromb Thrombolysis, 2021, 52(3):898-903. DOI: 10.1007/s11239-021-02396-5.
[31] 陈丽霞,李博,韩永清. 凝血指标D-Dimer联合Khorana评分模型预测肿瘤患者化疗后静脉血栓风险的价值[J]. 现代肿瘤医学,2023,31(9):1712-1715. DOI:10.3969/j.issn.1672- 4992.2023.09.024.
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