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基于全身免疫炎症指数的列线图预测弥漫性大B细胞淋巴瘤的预后

Nomogram based on the systemic immune-inflammation index for predicting the prognosis of diffuse large B-cell lymphoma.

作者信息

Wu Jing, Zhu Haizhen, Zhang Qi, Sun Yi, He XinYun, Liao Jiaqun, Liu Yuncong, Huang Limin

机构信息

Department of Oncology, Guizhou Provincial People's Hospital, Guizhou Cancer Center, Guiyang, China.

出版信息

Asia Pac J Clin Oncol. 2023 Apr;19(2):e138-e148. doi: 10.1111/ajco.13806. Epub 2022 Jun 26.

Abstract

AIM

To investigate systemic immune-inflammation index (SII) as prognostic factors and establish a nomogram based on SII for the prediction of survival in diffuse large B-cell lymphoma (DLBCL).

METHODS

One hundred and fifty-five DLBCL patients were randomized into primary (N = 100) and validation (N = 55) cohorts. Kaplan-Meier survival curves and Cox regression models were used to evaluate the impact of SII on survival. The nomogram based on SII was analyzed by using R software.

RESULTS

Univariate and multivariate analyses revealed that high SII (>1684.), C-reactive protein-to-albumin ratio (CAR > 0.21), and age-adjusted International Prognostic Index (aaIPI) score were independent predictors of overall survival (OS). High SII and aaIPI were independent predictors of progression-free survival. The nomogram had better accuracy and discrimination than the International Prognostic Index, National Comprehensive Cancer Network-International Prognostic Index, and aaIPI systems. The concordance index values of the nomogram for OS were 0.885 in the primary cohort and 0.821 in the validation cohort.

CONCLUSIONS

Our results suggested that SII, CAR, and aaIPI could be used to judge the prognosis of DLBCL patients. The nomogram was a reliable model for predicting the OS of DLBCL patients.

摘要

目的

探讨全身免疫炎症指数(SII)作为预后因素,并建立基于SII的列线图以预测弥漫性大B细胞淋巴瘤(DLBCL)患者的生存情况。

方法

155例DLBCL患者被随机分为初级队列(N = 100)和验证队列(N = 55)。采用Kaplan-Meier生存曲线和Cox回归模型评估SII对生存的影响。使用R软件分析基于SII的列线图。

结果

单因素和多因素分析显示,高SII(>1684.)、C反应蛋白与白蛋白比值(CAR>0.21)和年龄校正国际预后指数(aaIPI)评分是总生存(OS)的独立预测因素。高SII和aaIPI是无进展生存的独立预测因素。该列线图比国际预后指数、美国国立综合癌症网络国际预后指数和aaIPI系统具有更好的准确性和区分度。列线图在初级队列中OS的一致性指数值为0.885,在验证队列中为0.821。

结论

我们的结果表明,SII、CAR和aaIPI可用于判断DLBCL患者的预后。该列线图是预测DLBCL患者OS的可靠模型。

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