兰州大学学报（医学版）2025，Vol.51Issue(2)：25-31,7.DOI:10.13885/j.issn.1000-2812.2025.02.004
基于体重指数和HCT-CI评分构建初诊多发性骨髓瘤的预后列线图
Prognostic nomogram of newly diagnosed multiple myeloma constructed based on body mass index and HCT-CI scores
摘要
Abstract
Objective To analyse the effects of body mass index and hematopoietic stem cell transplantation-comorbidity index on overall survival of newly diagnosed multiple myeloma patients and to construct a nomo-gram.Methods The baseline clinical features of 189 newly diagnosed patients with multiple myeloma were retrospectively analyzed.Key variables were screened by Cox univariate and multifactor,and variables with P<0.05 were screened to construct a nomogram model.Consistency index,receiver operating characteristic curve over time,area under the curve and calibration chart were used to evaluate its performance and predic-tion accuracy.189 newly diagnosed patients with multiple myeloma were divided into a low body mass index group(≤21 kg/m2)and a high body mass index group(>21 kg/m2).Results The overall survival of the high body mass index group was better than that of the low body mass index group.According to the results of Cox univariate and multivariate analysis,body mass index,hematopoietic stem cell transplantation-comorbidity index,lactate dehydrogenase,age and β2 microglobulin were included in the construction of the nomogram model,and the consistency index was 0.713.The area under the curve of 1,3 and 5 year overall survival in the cohort was 0.767,0.843 and 0.774,respectively.Calibration curve and receiver operating characteristic curve showed that the model had good consistency and predictive performance.Conclusion The nomogram model constructed in this study can help to predict the survival probability of newly diagnosed multiple myeloma patients.关键词
多发性骨髓瘤/体重指数/造血干细胞移植合并症指数/预后/列线图Key words
multiple myeloma/body mass index/hematopoietic cell transplantation-comorbidity index/prog-nosis/nomogram分类
临床医学引用本文复制引用
马雪涵,胡光玲,张雅丽,刘蓓..基于体重指数和HCT-CI评分构建初诊多发性骨髓瘤的预后列线图[J].兰州大学学报（医学版）,2025,51(2):25-31,7.基金项目
甘肃省自然科学基金资助项目(24JRRA297) （24JRRA297）
甘肃省卫生行业科研计划资助项目(GSWSHL2022-26) （GSWSHL2022-26）
