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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
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Abstract:
目的:本研究旨在探讨RPR水平与多发性骨髓瘤(MM)患者预后的预测价值。方法:我们回顾性分析了161例新诊断的MM患者,收集患者临床资料,根据MM的预后确定RPR的最佳截断值,将MM患者分为高RPR组和低RPR组,比较两组之间临床资料的差异性,分析RPR对MM患者预后的影响。结果:RPR最佳截断值为0.115时预测价值最高,高RPR组和低RPR组总生存期(OS)的中位数均未达到,Kaplan-Meier生存分析显示两者间差异具有统计学意义(P < 0.001)。高RPR组的中位无进展生存期(PFS)短于低RPR组(26个月 vs. 49个月,P = 0.001)。COX回归分析显示,高龄、RPR > 0.115、肌酐 > 177 umol/L是OS的独立预后因素;RPR > 0.115是PFS的独立预后因素(P < 0.05)。结论:RPR是新诊断的MM患者的实用且有效的预后标志物,高RPR是MM患者OS和PFS的一个独立的不良预后因素。
Objective: The aim of this study was to investigate the prognosis value of RPR of MM patients. Methods: We retrospectively analysed 161 newly diagnosed MM patients, collected patients’ clinical data. According to the best cut off value of RPR on the prognosis of MM, they were divided into high RPR group and low RPR group. The differences in clinical data between the two groups were compared and the influence of RPR on the prognosis of MM was analyzed. Results: The best RPR cut off value was 0.115 when the predictive value was the highest. The median overall survival (OS) was not reached in both the high and low RPR groups, and Kaplan-Meier survival analysis showed that the difference was statistically significant (P < 0.001). The median progression-free survival (PFS) in the high RPR group and the low RPR group was 26 months and 49 months, respectively. The difference between the two groups was statistically significant (P = 0.001). COX regression analysis showed that advanced age, RPR > 0.115, and creatinine > 177 umol/L were independent prognostic factors for OS; RPR > 0.115 was an independent prognostic factor for PFS (P < 0.05). Conclusion: RPR is a practical and validated prognostic marker for newly diagnosed MM patients, and high RPR is an independent poor prognostic factor for OS and PFS in MM patients.
[1] | Usmani, S.Z., Hoering, A., Cavo, M., Miguel, J.S., Goldschimdt, H., Hajek, R., et al. (2018) Clinical Predictors of Long-Term Survival in Newly Diagnosed Transplant Eligible Multiple Myeloma—An IMWG Research Project. Blood Cancer Journal, 8, Article No. 123. https://doi.org/10.1038/s41408-018-0155-7 |
[2] | Palumbo, A., Bringhen, S., Ludwig, H., Dimopoulos, M.A., Bladé, J., Mateos, M.V., et al. (2011) Personalized Therapy in Multiple Myeloma According to Patient Age and Vulnerability: A Report of the European Myeloma Network (EMN). Blood, 118, 4519-4529. https://doi.org/10.1182/blood-2011-06-358812 |
[3] | Joshua, D.E., Bryant, C., Dix, C., Gibson, J. and Ho, J. (2019) Biology and Therapy of Multiple Myeloma. Medical Journal of Australia, 210, 375-380. https://doi.org/10.5694/mja2.50129 |
[4] | Kyrtsonis, M., Vassilakopoulos, T.P., Kafasi, N., Sachanas, S., Tzenou, T., Papadogiannis, A., et al. (2007) Prognostic Value of Serum Free Light Chain Ratio at Diagnosis in Multiple Myeloma. British Journal of Haematology, 137, 240-243. https://doi.org/10.1111/j.1365-2141.2007.06561.x |
[5] | Mu, S., Ai, L., Fan, F., Sun, C. and Hu, Y. (2018) Prognostic Role of Neutrophil-Lymphocyte Ratio in Multiple Myeloma: A Dose-Response Meta-Analysis. OncoTargets and Therapy, 11, 499-507. https://doi.org/10.2147/ott.s153146 |
[6] | Liu, S., Shi, J., Guo, H., Xu, F., Wei, M., Sun, K., et al. (2019) Prognostic Significance of the Inflammatory Index-Based Scoring System in Patients Preliminarily Diagnosed with Multiple Myeloma in the Bortezomib-Based Chemotherapy Era. Cancer Management and Research, 11, 9409-9420. https://doi.org/10.2147/cmar.s227671 |
[7] | Salvagno, G.L., Sanchis-Gomar, F., Picanza, A. and Lippi, G. (2014) Red Blood Cell Distribution Width: A Simple Parameter with Multiple Clinical Applications. Critical Reviews in Clinical Laboratory Sciences, 52, 86-105. https://doi.org/10.3109/10408363.2014.992064 |
[8] | Wang, R.R., He, M., Ou, X.F., Xie, X.Q. and Kang, Y. (2020) The Predictive Value of RDW in AKI and Mortality in Patients with Traumatic Brain Injury. Journal of Clinical Laboratory Analysis, 34, e23373. https://doi.org/10.1002/jcla.23373 |
[9] | Schneider, M., Schäfer, N., Apallas, S., Potthoff, A., Bode, C., Güresir, E., et al. (2021) Red Blood Cell Distribution Width to Platelet Ratio Substantiates Preoperative Survival Prediction in Patients with Newly-Diagnosed Glioblastoma. Journal of Neuro-Oncology, 154, 229-235. https://doi.org/10.1007/s11060-021-03817-4 |
[10] | Takeuchi, H., Abe, M., Takumi, Y., Hashimoto, T., Miyawaki, M., Okamoto, T., et al. (2019) Elevated Red Cell Distribution Width to Platelet Count Ratio Predicts Poor Prognosis in Patients with Breast Cancer. Scientific Reports, 9, Article No. 3033. https://doi.org/10.1038/s41598-019-40024-8 |
[11] | 中国医师协会血液科医师分会, 中华医学会血液学分会, 黄晓军. 中国多发性骨髓瘤诊治指南(2022年修订) [J]. 中华内科杂志, 2022, 61(5): 480-487. |
[12] | Dolan, R.D., Laird, B.J.A., Horgan, P.G. and McMillan, D.C. (2018) The Prognostic Value of the Systemic Inflammatory Response in Randomised Clinical Trials in Cancer: A Systematic Review. Critical Reviews in Oncology/Hematology, 132, 130-137. https://doi.org/10.1016/j.critrevonc.2018.09.016 |
[13] | Zeng, Q., Liu, Z., Li, Q. and Liu, T. (2018) Prognostic Value of Neutrophil to Lymphocyte Ratio and Clinicopathological Characteristics for Multiple Myeloma. Medicine, 97, e12678. https://doi.org/10.1097/md.0000000000012678 |
[14] | 崔壮壮, 张媛媛, 金北平, 魏长荣, 王春芝, 隋金才, 王超, 张海燕. 中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值对初诊多发性骨髓瘤患者总生存和无进展生存的预测意义[J]. 解放军医学院学报, 2019, 40(2): 121-126. |
[15] | Kawano, Y., Roccaro, A., Azzi, J. and Ghobrial, I. (2017) Multiple Myeloma and the Immune Microenvironment. Current Cancer Drug Targets, 17, 806-818. https://doi.org/10.2174/1568009617666170214102301 |
[16] | Weng, C., Wang, C., Chen, I., Hsiao, K., Chang, K., Wu, S., et al. (2014) Red Cell Distribution Width Is an Independent Predictor of Mortality in Necrotizing Fasciitis. The American Journal of Emergency Medicine, 32, 1259-1262. https://doi.org/10.1016/j.ajem.2014.08.001 |
[17] | 翟海军, 朱晶. 红细胞分布宽度对肺癌预后的临床分析[J]. 现代检验医学杂志, 2015, 30(6): 147-148+153. |
[18] | Wei, T.T., Wang, L.L., Yin, J.R., et al. (2017) Relationship between Red Blood Cell Distribution Width, Bilirubin, and Clinical Characteristics of Patients with Gastric Cancer. International Journal of Laboratory Hematology, 39, 497-501. https://doi.org/10.1111/ijlh.12675 |
[19] | 李东英, 岳园芳, 陈琳, 等. 红细胞分布宽度标准差对143例初治多发性骨髓瘤患者预后预测价值[J]. 中华肿瘤防治杂志, 2020, 27(6): 475-479+498. |
[20] | 郭进京, 胡林辉, 陶千山, 等. 红细胞分布宽度在多发性骨髓瘤患者预后分期中的价值[J]. 现代检验医学杂志, 2017, 32(3): 34-36+39. |
[21] | 邱雷, 韩晓雁, 何冬花, 等. 血细胞积分对以硼替佐米为基础一线治疗的多发性骨髓瘤患者的预后评估作用[J]. 中华血液学杂志, 2020, 41(9): 756-761. |
[22] | Kyle, R.A., Gertz, M.A., Witzig, T.E., Lust, J.A., Lacy, M.Q., Dispenzieri, A., et al. (2003) Review of 1027 Patients with Newly Diagnosed Multiple Myeloma. Mayo Clinic Proceedings, 78, 21-33. https://doi.org/10.4065/78.1.21 |
[23] | 陈益飞, 陆益龙. 57例多发性骨髓瘤患者生存及预后因素分析[J]. 中国实验血液学杂志, 2017, 25(5): 1436-1443. |
[24] | Chen, B., Ye, B., Zhang, J., Ying, L. and Chen, Y. (2013) RDW to Platelet Ratio: A Novel Noninvasive Index for Predicting Hepatic Fibrosis and Cirrhosis in Chronic Hepatitis B. PLOS ONE, 8, e68780. https://doi.org/10.1371/journal.pone.0068780 |
[25] | 张建国, 李治锋. 血细胞参数RPR和MPV对下肢深静脉血栓形成的预测价值分析[J]. 实验与检验医学, 2016, 34(5): 561-563. |
[26] | Li, M., Bai, Y., Sun, X., Wang, H., Li, W., Xiao, X., et al. (2023) High Red Blood Cell Distribution Width to Platelet Ratio Is an Independent Poor Prognostic Factor in Patients with Newly Diagnosed Multiple Myeloma. Discovery Medicine, 35, 157-167. https://doi.org/10.24976/discov.med.202335175.16 |
[27] | 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. |
[28] | 陶中飞, 傅卫军, 陈玉宝, 袁振刚, 王东星, 侯健. 206例多发性骨髓瘤预后因素分析及分期评价[J]. 癌症, 2006, 25(4): 461-464. |
[29] | 徐璐, 陈峙霖, 胡敏, 陶石, 陈瑜, 苏群豪. 临床特征、实验室指标和治疗方案对多发性骨髓瘤患者预后影响的研究[J]. 中国实验血液学杂志, 2019, 27(4): 1166-1172. |
[30] | Periša, V., Zibar, L., Sinčić-Petričević, J., Knezović, A., Periša, I. and Barbić, J. (2015) Red Blood Cell Distribution Width as a Simple Negative Prognostic Factor in Patients with Diffuse Large B-Cell Lymphoma: A Retrospective Study. Croatian Medical Journal, 56, 334-343. https://doi.org/10.3325/cmj.2015.56.334 |