临床荟萃 ›› 2023, Vol. 38 ›› Issue (4): 340-345.doi: 10.3969/j.issn.1004-583X.2023.04.009
收稿日期:
2022-09-19
出版日期:
2023-04-20
发布日期:
2023-06-06
通讯作者:
陶洁
E-mail:sxtaojie@126.com
Received:
2022-09-19
Online:
2023-04-20
Published:
2023-06-06
Contact:
Tao Jie
E-mail:sxtaojie@126.com
摘要:
目的 分析多发性骨髓瘤(multiple myeloma,MM)患者治疗后发生静脉血栓栓塞(venous thromboembolism, VTE)的危险因素。方法 收集2012年1月至2022年1月于山西医科大学第一医院血液内科初治的MM患者157例。根据是否发生VTE,将患者分为非VTE组(n=124)和VTE组(n=33)。比较两组临床资料,分析MM患者治疗后发生VTE的危险因素。结果 单因素分析显示,MM患者的年龄、近期手术史、近期骨折史、D-二聚体>0.55 mg/L、使用免疫调节药物、IMPEDE评分≥8分与MM患者治疗后发生VTE有关(P<0.05);二元多因素Logistic分析显示,MM患者的年龄、近期手术史、D-二聚体>0.55 mg/L、使用免疫调节药物是MM患者发生VTE的危险因素。结论 评估MM患者治疗后发生VTE的风险需全面结合患者年龄、病史、实验室指标及治疗方案等情况,鉴于国外关于MM患者发生VTE相关评分可能并不完全适用于中国人群,还需进一步研究开发适用于中国MM患者发生VTE的风险评分并加以验证。
中图分类号:
冷婉铜, 陶洁. 多发性骨髓瘤患者治疗后发生静脉血栓栓塞的危险因素[J]. 临床荟萃, 2023, 38(4): 340-345.
Leng Wantong, Tao Jie. Risk factors of postoperative venous thromboembolism in patients with multiple myeloma[J]. Clinical Focus, 2023, 38(4): 340-345.
危险因素 | 评分(分) |
---|---|
恶性肿瘤性质 | |
极高危(原发胃、胃食管交界处、胰腺肿瘤) | 2 |
高危(原发肺、妇科、膀胱、睾丸肿瘤、淋巴瘤) | 1 |
其他部位 | 0 |
化疗前白细胞计数>11×109/L | 1 |
化疗前血红蛋白<100 g/L或使用EPO | 1 |
化疗前血小板计数>350×109/L | 1 |
BMI≥25 kg/m2 | 1 |
表1 Khorana评分标准
Tab.1 Khorana scoring criteria
危险因素 | 评分(分) |
---|---|
恶性肿瘤性质 | |
极高危(原发胃、胃食管交界处、胰腺肿瘤) | 2 |
高危(原发肺、妇科、膀胱、睾丸肿瘤、淋巴瘤) | 1 |
其他部位 | 0 |
化疗前白细胞计数>11×109/L | 1 |
化疗前血红蛋白<100 g/L或使用EPO | 1 |
化疗前血小板计数>350×109/L | 1 |
BMI≥25 kg/m2 | 1 |
危险因素 | 评分 |
---|---|
使用IMiDs | 4 |
BMI≥35 kg/m2 | 1 |
近期骨折(骨盆,髋部或股骨) | 4 |
使用EPO | 1 |
使用多柔比星 | 3 |
使用地塞米松 | |
高剂量(>160 mg/月) | 4 |
低剂量(≤160 mg/月) | 2 |
亚洲人/太平洋岛民 | -3 |
既往VTE病史 | 5 |
留置中心静脉置管 | 2 |
使用治疗剂量的低分子肝素或华法林 | -4 |
使用预防剂量的低分子肝素或阿司匹林 | -3 |
表2 IMPEDE评分标准
Tab.2 IMPEDE scoring criteria
危险因素 | 评分 |
---|---|
使用IMiDs | 4 |
BMI≥35 kg/m2 | 1 |
近期骨折(骨盆,髋部或股骨) | 4 |
使用EPO | 1 |
使用多柔比星 | 3 |
使用地塞米松 | |
高剂量(>160 mg/月) | 4 |
低剂量(≤160 mg/月) | 2 |
亚洲人/太平洋岛民 | -3 |
既往VTE病史 | 5 |
留置中心静脉置管 | 2 |
使用治疗剂量的低分子肝素或华法林 | -4 |
使用预防剂量的低分子肝素或阿司匹林 | -3 |
组别 | 例数 | 年龄 (岁) | 性别[例(%)] | 吸烟史 [例(%)] | 饮酒史 [例(%)] | VTE病史 [例(%)] | 慢性基础疾 病史[例(%)] | BMI≥25 kg/m2 [例(%)] | 近期手术史 [例(%)] | 近期骨折史 [例(%)] | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
男 | 女 | ||||||||||||||||||||
非VTE组 | 124 | 63.59±9.80 | 76(61.3) | 48(38.7) | 34(27.4) | 20(16.1) | 7(5.6) | 50(40.3) | 32(25.8) | 3(2.4) | 4(3.2) | ||||||||||
VTE组 | 33 | 67.55±10.60 | 17(51.5) | 16(48.5) | 7(21.2) | 5(15.1) | 4(12.1) | 18(54.5) | 7(21.2) | 5(15.1) | 8(24.2) | ||||||||||
统计值 | t=2.019 | χ2=1.031 | χ2=0.520 | χ2=0.019 | χ2=0.831 | χ2=2.147 | χ2=0.295 | χ2=6.303 | χ2=13.467 | ||||||||||||
P值 | 0.045 | 0.310 | 0.471 | 0.892 | 0.362 | 0.143 | 0.587 | 0.012 | 0.000 |
表3 两组患者相关因素比较
Tab.3 Comparison of patient related factors between groups
组别 | 例数 | 年龄 (岁) | 性别[例(%)] | 吸烟史 [例(%)] | 饮酒史 [例(%)] | VTE病史 [例(%)] | 慢性基础疾 病史[例(%)] | BMI≥25 kg/m2 [例(%)] | 近期手术史 [例(%)] | 近期骨折史 [例(%)] | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
男 | 女 | ||||||||||||||||||||
非VTE组 | 124 | 63.59±9.80 | 76(61.3) | 48(38.7) | 34(27.4) | 20(16.1) | 7(5.6) | 50(40.3) | 32(25.8) | 3(2.4) | 4(3.2) | ||||||||||
VTE组 | 33 | 67.55±10.60 | 17(51.5) | 16(48.5) | 7(21.2) | 5(15.1) | 4(12.1) | 18(54.5) | 7(21.2) | 5(15.1) | 8(24.2) | ||||||||||
统计值 | t=2.019 | χ2=1.031 | χ2=0.520 | χ2=0.019 | χ2=0.831 | χ2=2.147 | χ2=0.295 | χ2=6.303 | χ2=13.467 | ||||||||||||
P值 | 0.045 | 0.310 | 0.471 | 0.892 | 0.362 | 0.143 | 0.587 | 0.012 | 0.000 |
组别 | 例数 | 骨髓象中异常 浆细胞比例(%) | 疾病亚型[例(%)] | ISS分期[例(%)] | DS分期[例(%)] | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IgG | IgA | 轻链型 | 其他类型 | Ⅰ期 | Ⅱ期 | Ⅲ期 | Ⅰ期 | Ⅱ期 | Ⅲ期 | |||||
非VTE组 | 124 | 36.11±21.47 | 50(40.3) | 36(29.1) | 18(14.5) | 20(16.1) | 12(9.7) | 51(41.1) | 61(49.2) | 7(5.6) | 9(7.3) | 108(87.1) | ||
VTE组 | 33 | 36.92±22.21 | 16(48.5) | 7(21.2) | 6(18.2) | 4(12.1) | 1(3.1) | 14(42.4) | 18(54.5) | 1(3.1) | 4(12.1) | 28(84.8) | ||
统计值 | t=0.191 | χ2=0.713 | χ2=0.801 | χ2=0.270 | χ2=0.323 | χ2=0.767 | χ2=0.018 | χ2=0.299 | χ2=0.026 | χ2=0.298 | χ2=0.002 | |||
P值 | 0.849 | 0.399 | 0.371 | 0.603 | 0.570 | 0.381 | 0.893 | 0.585 | 0.872 | 0.585 | 0.961 |
表4 两组疾病相关因素比较
Tab.4 Comparison of disease-related factors between groups
组别 | 例数 | 骨髓象中异常 浆细胞比例(%) | 疾病亚型[例(%)] | ISS分期[例(%)] | DS分期[例(%)] | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IgG | IgA | 轻链型 | 其他类型 | Ⅰ期 | Ⅱ期 | Ⅲ期 | Ⅰ期 | Ⅱ期 | Ⅲ期 | |||||
非VTE组 | 124 | 36.11±21.47 | 50(40.3) | 36(29.1) | 18(14.5) | 20(16.1) | 12(9.7) | 51(41.1) | 61(49.2) | 7(5.6) | 9(7.3) | 108(87.1) | ||
VTE组 | 33 | 36.92±22.21 | 16(48.5) | 7(21.2) | 6(18.2) | 4(12.1) | 1(3.1) | 14(42.4) | 18(54.5) | 1(3.1) | 4(12.1) | 28(84.8) | ||
统计值 | t=0.191 | χ2=0.713 | χ2=0.801 | χ2=0.270 | χ2=0.323 | χ2=0.767 | χ2=0.018 | χ2=0.299 | χ2=0.026 | χ2=0.298 | χ2=0.002 | |||
P值 | 0.849 | 0.399 | 0.371 | 0.603 | 0.570 | 0.381 | 0.893 | 0.585 | 0.872 | 0.585 | 0.961 |
组别 | 例数 | 血红蛋白 <100 g/L [例(%)] | 血小板计数 >350×109/L [例(%)] | 白细胞计数 >11×109/L [例(%)] | 中性粒细胞 绝对值(×109/L) | 纤维蛋白原 (g/L) | D-二聚体 >0.55 mg/L [例(%)] | 白蛋白 (g/L) | 球蛋白 (g/L) | 血沉 (mm/h) |
---|---|---|---|---|---|---|---|---|---|---|
非VTE组 | 124 | 80(64.5) | 9(7.2) | 10(8.1) | 2.5(1.7,3.5) | 2.27(1.70,4.30) | 54(43.5) | 32.52±6.94 | 49.80±22.99 | 91(35,134) |
VTE组 | 33 | 22(66.7) | 1(3.0) | 2(6.1) | 2.9(1.7,3.7) | 3.57(2.27,5.54) | 25(75.8) | 32.25±5.68 | 45.31±22.62 | 55(23,121) |
统计值 | χ2=0.053 | χ2=0.233 | χ2=0.000 | Z=-0.670 | Z=-1.665 | χ2=10.816 | t=-0.237 | t=-0.998 | Z=-1.508 | |
P值 | 0.818 | 0.629 | 0.987 | 0.503 | 0.096 | 0.001 | 0.813 | 0.320 | 0.131 |
表5 两组实验室相关因素比较
Tab.5 Comparison of laboratory related factors between groups
组别 | 例数 | 血红蛋白 <100 g/L [例(%)] | 血小板计数 >350×109/L [例(%)] | 白细胞计数 >11×109/L [例(%)] | 中性粒细胞 绝对值(×109/L) | 纤维蛋白原 (g/L) | D-二聚体 >0.55 mg/L [例(%)] | 白蛋白 (g/L) | 球蛋白 (g/L) | 血沉 (mm/h) |
---|---|---|---|---|---|---|---|---|---|---|
非VTE组 | 124 | 80(64.5) | 9(7.2) | 10(8.1) | 2.5(1.7,3.5) | 2.27(1.70,4.30) | 54(43.5) | 32.52±6.94 | 49.80±22.99 | 91(35,134) |
VTE组 | 33 | 22(66.7) | 1(3.0) | 2(6.1) | 2.9(1.7,3.7) | 3.57(2.27,5.54) | 25(75.8) | 32.25±5.68 | 45.31±22.62 | 55(23,121) |
统计值 | χ2=0.053 | χ2=0.233 | χ2=0.000 | Z=-0.670 | Z=-1.665 | χ2=10.816 | t=-0.237 | t=-0.998 | Z=-1.508 | |
P值 | 0.818 | 0.629 | 0.987 | 0.503 | 0.096 | 0.001 | 0.813 | 0.320 | 0.131 |
组别 | 例数 | 中心静脉置管 | 使用EPO | 地塞米松剂量 >160 mg/月 | 使用多柔比星 | 使用IMiDs | 使用阿司匹林 |
---|---|---|---|---|---|---|---|
非VTE组 | 124 | 11(8.9) | 1(0.8) | 15(12.1) | 4(3.2) | 58(46.8) | 40(32.3) |
VTE组 | 33 | 5(15.2) | 2(6.1) | 5(15.2) | 2(6.1) | 22(66.7) | 14(42.4) |
χ2值 | 0.542 | - | 0.030 | 0.060 | 4.127 | 1.194 | |
P值 | 0.462 | 0.112* | 0.862 | 0.807 | 0.042 | 0.275 |
表6 两组治疗相关因素比较[例(%)]
Tab.6 Comparison of treatment related factors between groups [cases(%)]
组别 | 例数 | 中心静脉置管 | 使用EPO | 地塞米松剂量 >160 mg/月 | 使用多柔比星 | 使用IMiDs | 使用阿司匹林 |
---|---|---|---|---|---|---|---|
非VTE组 | 124 | 11(8.9) | 1(0.8) | 15(12.1) | 4(3.2) | 58(46.8) | 40(32.3) |
VTE组 | 33 | 5(15.2) | 2(6.1) | 5(15.2) | 2(6.1) | 22(66.7) | 14(42.4) |
χ2值 | 0.542 | - | 0.030 | 0.060 | 4.127 | 1.194 | |
P值 | 0.462 | 0.112* | 0.862 | 0.807 | 0.042 | 0.275 |
组别 | 例数 | Khorana评分>3分 | IMPEDE评分≥8分 |
---|---|---|---|
非VTE组 | 124 | 4(3.2) | 3(2.4) |
VTE组 | 33 | 3(9.1) | 6(18.2) |
χ2值 | 0.953 | 9.244 | |
P值 | 0.329 | 0.002 |
表7 两组Khorana评分与IMPEDE评分比较[例(%)]
Tab.7 Comparison of Khorana score and IMPEDE score between groups[cases(%)]
组别 | 例数 | Khorana评分>3分 | IMPEDE评分≥8分 |
---|---|---|---|
非VTE组 | 124 | 4(3.2) | 3(2.4) |
VTE组 | 33 | 3(9.1) | 6(18.2) |
χ2值 | 0.953 | 9.244 | |
P值 | 0.329 | 0.002 |
变量 | 赋值 | |
---|---|---|
因变量(Y) | ||
是否发生VTE | 是=1,否=0 | |
自变量(X) | ||
年龄 | 连续变量 | |
近期手术史 | 有=1,无=0 | |
近期骨折史 | 有=1,无=0 | |
D-二聚体>0.55 mg/L | 是=1,否=0 | |
使用IMiDs | 有=1,无=0 | |
IMPEDE评分≥8分 | 是=1,否=0 |
表8 二元多因素Logistic分析自变量和因变量的赋值
Tab.8 Assignment of independent variables and dependent variables in binary multifactor Logistic analysis
变量 | 赋值 | |
---|---|---|
因变量(Y) | ||
是否发生VTE | 是=1,否=0 | |
自变量(X) | ||
年龄 | 连续变量 | |
近期手术史 | 有=1,无=0 | |
近期骨折史 | 有=1,无=0 | |
D-二聚体>0.55 mg/L | 是=1,否=0 | |
使用IMiDs | 有=1,无=0 | |
IMPEDE评分≥8分 | 是=1,否=0 |
因素 | 回归 系数 | 标准误 | Wald χ2值 | P值 | OR值 | 95%CI | |
---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||
年龄 | 0.053 | 0.023 | 5.125 | 0.024 | 1.054 | 1.007 | 1.104 |
近期手术史 | 2.495 | 1.007 | 6.140 | 0.013 | 12.116 | 1.684 | 87.148 |
近期骨折史 | 0.672 | 0.962 | 0.488 | 0.485 | 1.958 | 0.297 | 12.895 |
D-二聚体>0.55 mg/L | 1.393 | 0.492 | 8.012 | 0.005 | 4.026 | 1.535 | 10.560 |
使用IMiDs | 1.153 | 0.483 | 5.706 | 0.017 | 3.168 | 1.230 | 8.159 |
IMPEDE评分≥8分 | 1.235 | 1.080 | 1.308 | 0.253 | 3.439 | 0.414 | 28.555 |
表9 MM患者治疗后发生VTE的二元多因素Logistic分析
Tab.9 Binary multivariate logistic analysis of postoperative VTE in MM patients
因素 | 回归 系数 | 标准误 | Wald χ2值 | P值 | OR值 | 95%CI | |
---|---|---|---|---|---|---|---|
下限 | 上限 | ||||||
年龄 | 0.053 | 0.023 | 5.125 | 0.024 | 1.054 | 1.007 | 1.104 |
近期手术史 | 2.495 | 1.007 | 6.140 | 0.013 | 12.116 | 1.684 | 87.148 |
近期骨折史 | 0.672 | 0.962 | 0.488 | 0.485 | 1.958 | 0.297 | 12.895 |
D-二聚体>0.55 mg/L | 1.393 | 0.492 | 8.012 | 0.005 | 4.026 | 1.535 | 10.560 |
使用IMiDs | 1.153 | 0.483 | 5.706 | 0.017 | 3.168 | 1.230 | 8.159 |
IMPEDE评分≥8分 | 1.235 | 1.080 | 1.308 | 0.253 | 3.439 | 0.414 | 28.555 |
[1] |
Cowan AJ, Allen C, Barac A, et al. Global burden of multiple myeloma: A systematic analysis for the global burden of disease study[J]. JAMA Oncol, 2018, 4(9):1221-1227.
doi: 10.1001/jamaoncol.2018.2128 URL |
[2] |
Yao Y, Xu Q. Progress in the study of cancer-associated venous thromboembolism[J]. Vascular, 2021, 29(3):408-414.
doi: 10.1177/1708538120957443 URL |
[3] |
Calafiore V, Giamporcaro S, Conticello C, et al. A real-life survey of venous thromboembolic events occurring in myeloma patients treated in third line with second-generation novel agents[J]. J Clin Med, 2020, 9(9):2876.
doi: 10.3390/jcm9092876 URL |
[4] |
Facon T, Dimopoulos MA, Dispenzieri A, et al. Final analysis of survival outcomes in the phase 3 FIRST trial of up-front treatment for multiple myeloma[J]. Blood, 2018, 131(3):301-310.
doi: 10.1182/blood-2017-07-795047 pmid: 29150421 |
[5] |
Wang H, Xu X, Pu C, et al. Clinical characteristics and prognosis of cancer patients with venous thromboembolism[J]. J Cancer Res Ther, 2019, 15(2):344-349.
doi: 10.4103/jcrt.JCRT_121_18 pmid: 30964109 |
[6] |
De Stefano V, Larocca A, Carpenedo M, et al. Thrombosis in multiple myeloma: Risk stratification, antithrombotic prophylaxis, and management of acute events. A consensus-based position paper from an ad hoc expert panel[J]. Haematologica, 2022, 107(11):2536-2547.
doi: 10.3324/haematol.2022.280893 pmid: 35861017 |
[7] |
Baker HA, Brown AR, Mahnken JD, et al. Application of risk factors for venous thromboembolism in patients with multiple myeloma starting chemotherapy, a real-world evaluation[J]. Cancer Med, 2019, 8(1):455-462.
doi: 10.1002/cam4.2019.8.issue-1 URL |
[8] |
Bradbury CA, Craig Z, Cook G, et al. Thrombosis in patients with myeloma treated in the myeloma IX and myeloma XI phase 3 randomized controlled trials[J]. Blood, 2020, 136(9):1091-1104.
doi: 10.1182/blood.2020005125 pmid: 32438407 |
[9] |
Sanfilippo KM, Luo S, Wang TF, et al. Predicting venous thromboembolism in multiple myeloma: Development and validation of the IMPEDE VTE score[J]. Am J Hematol, 2019, 94(11):1176-1184.
doi: 10.1002/ajh.25603 pmid: 31379000 |
[10] |
Covut F, Ahmed R, Chawla S, et al. Validation of the IMPEDE VTE score for prediction of venous thromboembolism in multiple myeloma: A retrospective cohort study[J]. Br J Haematol, 2021, 193(6):1213-1219.
doi: 10.1111/bjh.v193.6 URL |
[11] |
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 pmid: 18216292 |
[12] |
Farge D, Frere C, Connors JM, et al. 2022 international clinical practice guidelines for the treatment and prophylaxis of venous thromboembolism in patients with cancer, including patients with COVID-19[J]. Lancet Oncol, 2022, 23(7):e334-e347.
doi: 10.1016/S1470-2045(22)00160-7 URL |
[13] |
Sanfilippo KM, Carson KR, Wang TF, et al. Evaluation of the Khorana score for prediction of venous thromboembolism in patients with multiple myeloma[J]. Res Pract Thromb Haemost, 2022, 6(1):e12634.
doi: 10.1002/rth2.12634 URL |
[14] |
Sborov DW, Baljevic M, Reeves B, et al. Daratumumab plus lenalidomide, bortezomib and dexamethasone in newly diagnosed multiple myeloma: Analysis of vascular thrombotic events in the GRIFFIN study[J]. Br J Haematol, 2022, 199(3):355-365.
doi: 10.1111/bjh.v199.3 URL |
[15] |
Charalampous C, Goel U, Kapoor P, et al. Thrombosis in multiple myeloma: Risk estimation by induction regimen and association with overall survival[J]. Am J Hematol, 2023, 98(3):413-420.
doi: 10.1002/ajh.26806 pmid: 36588396 |
[16] |
Schoen MW, Carson KR, Luo S, et al. Venous thromboembolism in multiple myeloma is associated with increased mortality[J]. Res Pract Thromb Haemost, 2020, 4(7):1203-1210.
doi: 10.1002/rth2.12411 pmid: 33134785 |
[17] |
Callander NS, Baljevic M, Adekola K, et al. NCCN Guidelines Insights: Multiple myeloma, version 3.2022[J]. J Natl Compr Canc Netw, 2022, 20(1):8-19.
doi: 10.6004/jnccn.2022.0002 URL |
[18] |
Sanfilippo KM, Carson KR, Wang TF, et al. Evaluation of the Khorana score for prediction of venous thromboembolism in patients with multiple myeloma[J]. Res Pract Thromb Haemost, 2022, 6(1):e12634.
doi: 10.1002/rth2.12634 URL |
[19] | Brown JD, Adams VR. Incidence and risk factors of thromboembolism with multiple myeloma in the presence of death as a competing risk: An empirical comparison of statistical methodologies[J]. Healthcare (Basel), 2016, 4(1):16. |
[20] |
Li W, Garcia D, Cornell RF, et al. Cardiovascular and thrombotic complications of novel multiple myeloma therapies: a review[J]. JAMA Oncol, 2017, 3(7):980-988.
doi: 10.1001/jamaoncol.2016.3350 pmid: 27632640 |
[21] |
Hou J, Jin J, Xu Y, et al. Randomized, double-blind, placebo-controlled phase III study of ixazomib plus lenalidomide-dexamethasone in patients with relapsed/refractory multiple myeloma: China continuation study[J]. J Hematol Oncol, 2017, 10(1):137.
doi: 10.1186/s13045-017-0501-4 URL |
[22] |
Kumar SK, Jacobus SJ, Cohen AD, et al. Carfifilzomib or bortezomib in combination with lenalidomide and dexamethasone for patients with newly diagnosed multiple myeloma without Intention for Immediate autologous stem-cell transplantation (endurance): A multicentre, open-Label, phase 3, randomised, controlled trial[J]. Lancet Oncol, 2020, 21(10):1317-1330.
doi: 10.1016/S1470-2045(20)30452-6 URL |
[23] |
Piedra K, Peterson T, Tan C, et al. Comparison of venous thromboembolism incidence in newly diagnosed multiple myeloma patients receiving bortezomib, lenalidomide, dexamethasone (RVD) or carfifilzomib, lenalidomide, dexamethasone (KRD) with aspirin or rivaroxaban thromboprophylaxis[J]. Br J Haematol, 2022, 196(1):105-109.
doi: 10.1111/bjh.v196.1 URL |
[24] |
Isoda A, Sato N, Miyazawa Y, et al. Silent venous thromboembolism in multiple myeloma patients treated with lenalidomide[J]. Int J Hematol, 2015, 102(3):271-277.
doi: 10.1007/s12185-015-1838-5 pmid: 26177588 |
[25] |
Fotiou D, Sergentanis TN, Papageorgiou L, et al. Longer procoagulant phospholipid-dependent clotting time, lower endogenous thrombin potential and higher tissue factor pathway inhibitor concentrations are associated with increased VTE occurrence in patients with newly diagnosed multiple myeloma: Results of the prospective ROADMAP-MM-CAT study[J]. Blood Cancer J, 2018, 8(11):102.
doi: 10.1038/s41408-018-0135-y pmid: 30405097 |
[26] |
Bravo-Perez C, Fernández-Caballero M, Soler-Espejo E, et al. Heparin versus aspirin thromboprophylaxis adds independent value to IMPEDE-VTE score for venous thrombosis prediction in multiple myeloma[J]. J Thromb Thrombolysis, 2021, 52(3):848-853.
doi: 10.1007/s11239-021-02407-5 |
[27] | Kahale LA, Matar CF, Tsolakian I, et al. Antithrombotic therapy for ambulatory patients with multiple myeloma receiving immunomodulatory agents[J]. Cochrane Database Syst Rev, 2021, 9:CD014739. |
[28] |
Cornell RF, Goldhaber SZ, Engelhardt BG, et al. Primary prevention of venous thromboembolism with apixaban for multiple myeloma patients receiving immunomodulatory agents[J]. Br J Haematol, 2020, 190(4):555-561.
doi: 10.1111/bjh.v190.4 URL |
[29] |
Storrar NPF, Mathur A, Johnson PRE, et al. Safety and efficacy of apixaban for routine thromboprophylaxis in myeloma patients treated with thalidomide- and lenalidomide-containing regimens[J]. Br J Haematol, 2019, 185(1):142-144.
doi: 10.1111/bjh.2019.185.issue-1 URL |
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