The study of inflammatory index based on scoring system as a prognostic marker for newly diagnosed multiple myelomaChinese Full Text
SHI Qiaomei;ZHU Hong;QI Ming;GE Jiao;LU Yanyan;YIN Lingling;LIU Ningsa;LI Yutao;LI Hujun;XU Kailin;LI Zhenyu;Department of Hematology,Affiliated Hospital of Xuzhou Medical University;
Abstract: Objective: To study the prognostic value of inflammatory prognosis scoring system（IPSI） composed of red blood cell distribution width（RDW）, neutrophil lymphocyte ratio（NLR） and platelet count（PLT） in newly diagnosed multiple myeloma（NDMM） patients. Methods: The clinical data of 180 NDMM patients in the Department of Hematology, Affiliated Hospital of Xuzhou Medical University from January 2014 to April 2019 were retrospectively analyzed, and the prognostic value of related inflammatory markers for survival was studied. The cut-off values of RDW, NLR and PLT included in IPSI were obtained from references. High RDW（RDW＞14%）, high NLR（NLR＞2） or low PLT（PLT≤150×10~9/L） were scored 1 point respectively. The patients were divided into low-risk group（0 point）, medium-risk group（1 point） and high-risk group（2-3 points）. Results: There were significant differences in progression-free survival（PFS） and overall survival（OS） between different IPSI groups（P＜0.001）. Multivariate analysis showed that IPSI was an independent prognostic factor for PFS（medium-risk group HR 2.338, 95%CI 1.235-4.428, high-risk group HR 4.048, 95%CI 2.154-7.606, P＜0.001） and OS（medium-risk group HR 3.349, 95%CI 1.163-9.646, high-risk group HR 8.410, 95%CI 3.021-23.412, P＜0.001）. Importantly, IPSI can be used as a supplement to the international staging system（ISS）, and there were significant differences in OS between IPSI subgroups（ISS stageⅠ, P=0.001; ISS stageⅡ, P=0.008; ISS stage Ⅲ, P=0.008）. Conclusion: IPSI composed of RDW, NLR and PLT can be used as an effective prognostic marker for NDMM patients.
Keywords：
multiple myeloma; red blood cell distribution width; neutrophil to lymphocyte ratio; platelet count; prognosis;
- DOI：
10.13201/j.issn.1004-2806.2021.07.003
- Series：
(E) Medicine ＆ Public Health
- Subject：
Oncology
- Classification Code：
R733.3
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