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一个新的和验证的基于炎症的预后得分 (IBPS) 预测了扩散型大B细胞淋巴瘤患者的结果

Yajiao Liu¹, Li Sheng¹, Haiying Hua^1,2

¹Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, 214000, People's Republic of China.

Cancer management and research

|July 19, 2023

概括

一个新的基于炎症的预后得分 (IBPS) 和名谱准确地预测了分散型大B细胞淋巴瘤 (DLBCL) 患者的整体存活率. 该工具有助于根据风险对DLBCL患者进行分层,提高预后准确性.

科学领域:

在瘤学瘤学.
血液学血液学血液学
生物统计学生物统计学

背景情况:

扩散性大B细胞淋巴瘤 (DLBCL) 是一种具有可变预后的侵袭性非霍奇金淋巴瘤.
准确预测整体存活率 (OS) 对于指导DLBCL患者的治疗决策至关重要.
现有的预后模型可能无法完全捕捉DLBCL患者结果的复杂性.

研究的目的:

开发和验证一种新的预后得分,即基于炎症的预后得分 (IBPS).
建立和验证使用IBPS和其他临床因素的nomogram来预测DLBCL患者的OS.

主要方法:

对213名DLBCL患者进行了回顾性分析,用于编号表的开发和89名患者用于外部验证.
使用系统性免疫炎症指数 (SII),预后营养指数 (PNI) 和修改格拉斯哥预后得分 (mGPS) 来构建IBPS.
使用LASSO考克斯回归开发的Nomogram,并通过C指数,校准图,ROC分析和DCA进行验证.

主要成果:

在IBPS中包含SII,PNI和mGPS.
诺米图集成了ECOG PS,IBPS,治疗反应和手术状态.
诺米图表显示出强大的预测准确度,C指数为0.844 (训练) 和0.828 (验证),通过DCA显示出良好的临床实用性.

结论:

基线IBPS是DLBCL中OS的可靠预测指标.
开发的诺米图提供了对DLBCL患者的生存概率的准确预测.
这种预后工具可以帮助DLBCL风险分层和个性化治疗计划.

关键词:

扩散大的B细胞淋巴瘤.炎症指标可以显示出炎症指标.总体存活率总体存活率预测模型预测模型

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