红细胞分布宽度/血小板计数对多发性骨髓瘤预后预测价值的研究

韩娟, 华文龙. 红细胞分布宽度/血小板计数对多发性骨髓瘤预后预测价值的研究[J]. 临床血液学杂志, 2022, 35(2): 121-126. doi: 10.13201/j.issn.1004-2806.2022.02.009
引用本文: 韩娟, 华文龙. 红细胞分布宽度/血小板计数对多发性骨髓瘤预后预测价值的研究[J]. 临床血液学杂志, 2022, 35(2): 121-126. doi: 10.13201/j.issn.1004-2806.2022.02.009
HAN Juan, HUA Wenlong. Study on predictive value of red blood cell distribution width/platelet count on prognosis of multiple myeloma[J]. J Clin Hematol, 2022, 35(2): 121-126. doi: 10.13201/j.issn.1004-2806.2022.02.009
Citation: HAN Juan, HUA Wenlong. Study on predictive value of red blood cell distribution width/platelet count on prognosis of multiple myeloma[J]. J Clin Hematol, 2022, 35(2): 121-126. doi: 10.13201/j.issn.1004-2806.2022.02.009

红细胞分布宽度/血小板计数对多发性骨髓瘤预后预测价值的研究

详细信息
  • 中图分类号: R733.3

Study on predictive value of red blood cell distribution width/platelet count on prognosis of multiple myeloma

  • 目的 研究红细胞分布宽度(RDW)/血小板计数(PLT)(RPR)对多发性骨髓瘤(MM)患者预后的预测价值。方法 查看电子病历,选取住院治疗的初诊MM患者68例,收集患者年龄、性别、血常规、生化、Durie-Salmon(DS)分期、修订的国际分期(RISS)结果,根据RPR对MM预后的最佳截断值将MM患者分为RPR高值组42例和RPR低值组26例,比较2组间临床资料差异,分析RPR对MM预后的影响。结果 RPR最佳截断值为0.12时预测价值最高,RPR高值组RDW、β2微球蛋白(β2-MG)、RISS Ⅲ期阳性率、乳酸脱氢酶(LDH)均高于RPR低值组,白蛋白/球蛋白(AGR)、血红蛋白(Hb)、PLT、白蛋白(ALB)均低于RPR低值组,差异均有统计学意义(P< 0.05)。RPR与AGR、ALB、Hb、PLT呈负相关,与RDW、β2-MG、LDH呈正相关(P< 0.05)。RPR高值组总生存期(OS)中位数为24个月,RPR低值组OS中位数为33个月,Kaplan-Meier生存分析显示两者间差异有统计学意义(χ2=4.186,P=0.041),RPR高值组无进展生存期(PFS)中位数为21个月,RPR低值组PFS中位数为30个月,Kaplan-Meier生存分析显示两者间差异有统计学意义(χ2=4.642,P=0.031)。Cox生存分析显示,初诊Hb、RPR≥0.12、AGR≥1.20、β2-MG、RISS Ⅲ期均为OS的独立预后预测指标,RPR≥0.12、AGR≥1.20为PFS的独立预后预测指标(P< 0.05)。结论 RPR对MM的预后具有一定预测价值,且为MM患者OS、PFS的独立预后预测指标。
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  • 图 1  RPR对MM预后的ROC曲线分析

    图 2  不同RPR患者OS比较

    图 3  不同RPR患者PFS比较

    表 1  不同RPR患者临床资料的比较 X±S

    临床资料 RPR高值组(42例) RPR低值组(26例) t(χ2) P
    AGR 1.11±0.21 1.34±0.36 3.333 0.001
    Hb/(g·L-1) 86.22±14.32 97.21±16.30 2.916 0.005
    RDW/% 14.51±1.30 13.76±1.25 2.345 0.022
    PLT/(×109·L-1) 106.72±33.66 148.55±46.57 4.292 < 0.001
    RPR 0.14±0.06 0.10±0.09 2.20 0.031
    ALB/(g·L-1) 30.56±11.84 41.33±10.21 3.836 < 0.001
    β2-MG/(mg·L-1) 5.95±1.02 5.06±1.14 3.342 0.001
    BUN/(mmol·L-1) 7.51±1.59 7.04±1.33 1.258 0.213
    Cr/(μmol·L-1) 107.32±12.43 102.61±15.85 1.365 0.177
    DS分期/例(%)
      Ⅰ期 6(14.29) 4(15.38) 1.596 0.450
      Ⅱ期 12(28.57) 11(42.31)
      Ⅲ期 24(57.14) 11(42.31)
    RISS分期/例(%)
      Ⅰ期 5(11.90) 5(19.23) 6.315 0.043
      Ⅱ期 8(19.05) 11(42.31)
      Ⅲ期 29(69.05) 10(38.46)
    Ca/(mmol·L-1) 2.96±0.41 2.78±0.39 1.792 0.077
    LDH/(IU·L-1) 262.75±25.35 201.33±31.26 8.874 0.000
    死亡/例(%) 23(54.76) 10(38.46) 1.708 0.191
    下载: 导出CSV

    表 2  Cox回归模型对OS、PFS预后因素的单变量和多变量分析

    影响因素 OS PFS
    单因素分析
    HR(95%CI)
    P 多因素分析
    HR(95%CI)
    P 单因素分析
    HR(95%CI)
    P 多因素分析
    HR(95%CI)
    P
    年龄 1.04(0.82~ 1.96) 0.624 1.01(0.99~ 1.23) 0.731
    男性 0.96(0.73~ 1.86) 0.793 0.99(0.68~ 1.76) 0.852
    Hb 0.52(0.36~ 0.85) 0.007 0.59(0.42~ 0.91) 0.019 0.89(0.68~ 1.14) 0.496
    RPR≥0.12 2.96(1.45~ 3.88) 0.002 2.54(1.62~ 3.73) 0.010 1.98(1.34~ 3.54) 0.024 1.87(1.36~ 3.47) 0.030
    AGR≥1.20 0.65(0.38~ 0.96) 0.032 0.72(0.45~ 0.98) 0.042 0.69(0.34~ 0.87) 0.028 0.71(0.36~ 0.85) 0.034
    β2-MG 1.83(1.14~ 4.21) 0.025 1.79(1.22~ 3.56) 0.028 1.21(0.93~ 2.54) 0.245
    BUN/ 1.27(0.86~ 1.95) 0.175 1.13(0.74~ 2.51) 0.336
    Cr 1.12(0.73~ 1.88) 0.201 1.16(0.82~ 2.63) 0.298
    DS分期
      Ⅰ期 1 1
      Ⅱ期 1.25(0.98~ 2.02) 0.196 1.19(0.76~ 1.94) 0.197
      Ⅲ期 1.36(1.02~ 2.83) 0.137 1.34(0.94~ 3.51) 0.262
    RISS分期
      Ⅰ期 1 1
      Ⅱ期 1.19(0.78~ 2.42) 0.205 1.42(1.14~ 3.96) 0.102
      Ⅲ期 1.98(1.14~ 3.52) 0.017 1.82(1.34~ 3.46) 0.029 1.58(1.27~ 4.02) 0.045 1.49(1.31~ 3.98) 0.058
    Ca≥2.80 mmol/L 1.37(0.96~ 3.02) 0.129 1.13(0.83~ 2.92) 0.342
    LDH 1.41(0.83~ 3.19) 0.082 1.12(0.79~ 3.72) 0.404
    下载: 导出CSV
  • [1]

    金鑫, 陆玲娜, 周梦, 等. 流式检测骨髓正常浆细胞在多发性骨髓瘤疗效评估中的价值[J]. 临床血液学杂志, 2020, 33(10): 678-681. http://lcxz.cbpt.cnki.net/WKC/WebPublication/paperDigest.aspx?paperID=56c2eb58-e808-4cbd-9a7e-61523b1e9e9d

    [2]

    Joshua DE, Bryant C, Dix C, et al. Biology and therapy of multiple myeloma[J]. Med J Aust, 2019, 210(8): 375-380. doi: 10.5694/mja2.50129

    [3]

    Musolino C, Allegra A, Innao V, et al. Inflammatory and Anti-Inflammatory Equilibrium, Proliferative and Antiproliferative Balance: The Role of Cytokines in Multiple Myeloma[J]. Mediators Inflamm, 2017, 2017: 1852517.

    [4]

    Szudy-Szczyrek A, Mlak R, Mielnik M, et al. Prognostic value of pretreatment neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios in multiple myeloma patients treated with thalidomide-based regimen[J]. Ann Hematol, 2020, 99(12): 2881-2891. doi: 10.1007/s00277-020-04092-5

    [5]

    Zhou D, Xu P, Peng M, et al. Pre-treatment red blood cell distribution width provides prognostic information in multiple myeloma[J]. Clin Chim Acta, 2018, 481: 34-41. doi: 10.1016/j.cca.2018.02.009

    [6]

    王倩, 殷松楼. RPR与系统性红斑狼疮疾病活动度的关系研究[J]. 国际检验医学杂志, 2020, 41(18): 2272-2276. doi: 10.3969/j.issn.1673-4130.2020.18.023

    [7]

    International Myeloma Working Group. Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group[J]. Br J Haematol, 2003, 121(5): 749-757. doi: 10.1046/j.1365-2141.2003.04355.x

    [8]

    Palumbo A, Avet-Loiseau H, Oliva S, et al. Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group[J]. J Clin Oncol, 2015, 33(26): 2863-2869. doi: 10.1200/JCO.2015.61.2267

    [9]

    Ai L, Mu S, Hu Y. Prognostic role of RDW in hematological malignancies: a systematic review and meta-analysis[J]. Cancer Cell Int, 2018, 18: 61. doi: 10.1186/s12935-018-0558-3

    [10]

    Okazuka K, Ishida T, Nashimoto J, et al. The efficacy and safety of modified bortezomib-lenalidomide-dexamethasone in transplant-eligible patients with newly diagnosed multiple myeloma[J]. Eur J Haematol, 2020, 104(2): 110-115. doi: 10.1111/ejh.13349

    [11]

    刘新新, 高春明, 刘传苗. 原发性胆汁性胆管炎临床特征及红细胞分布宽度与血小板计数比值对肝硬化的诊断价值分析[J]. 中华全科医学, 2021, 19(3): 454-458. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY202103034.htm

    [12]

    王莉, 蔡强. 红细胞分布宽度与血小板计数比值对脓毒症患儿预后的预测价值[J]. 中国当代儿科杂志, 2019, 21(11): 1079-1083. doi: 10.7499/j.issn.1008-8830.2019.11.005

    [13]

    Gupta N, Sharma A, Sharma A. Emerging biomarkers in Multiple Myeloma: A review[J]. Clin Chim Acta, 2020, 503: 45-53. doi: 10.1016/j.cca.2019.12.026

    [14]

    Cai Y, Zhao Y, Dai Q, et al. Prognostic value of the albumin-globulin ratio and albumin-globulin score in patients with multiple myeloma[J]. J Int Med Res, 2021, 49(3): 300060521997736.

    [15]

    Laudin GE, Levay PF, Coetzer B. Globulin fraction and albumin: globulin ratio as a predictor of mortality in a South African multiple myeloma cohort[J]. Int J Hematol Oncol, 2020, 9(3): IJH27. doi: 10.2217/ijh-2020-0003

    [16]

    Kawano Y, Roccaro AM, Ghobrial IM, et al. Multiple Myeloma and the Immune Microenvironment[J]. Curr Cancer Drug Targets, 2017, 17(9): 806-818.

    [17]

    Huang C, Wei H, Lan F, et al. Assessment of Red Blood Cell Distribution Width and Multiple Myeloma in a Guangxi Population: a Retrospective Study[J]. Clin Lab, 2019, 65(3).

    [18]

    Wang J, Xie X, Cheng F, et al. Evaluation of pretreatment red cell distribution width in patients with multiple myeloma[J]. Cancer Biomark, 2017, 20(3): 267-272. doi: 10.3233/CBM-170032

    [19]

    Sweiss K, Calip GS, Johnson JJ, et al. Pretransplant hemoglobin and creatinine clearance correlate with treatment-free survival after autologous stem cell transplantation for multiple myeloma[J]. Bone Marrow Transplant, 2019, 54(12): 2081-2087. doi: 10.1038/s41409-019-0628-8

    [20]

    史青林, 顾炎, 沈旭星, 等. 修订的国际分期系统对初诊多发性骨髓瘤的预后意义[J]. 临床血液学杂志, 2018, 31(5): 359-364. https://www.cnki.com.cn/Article/CJFDTOTAL-LCXZ201805009.htm

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出版历程
收稿日期:  2021-05-22
修回日期:  2021-06-17
刊出日期:  2022-02-01

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