列线图
国际预后指标
医学
内科学
比例危险模型
肿瘤科
单变量
弥漫性大B细胞淋巴瘤
淋巴瘤
队列
多元分析
单变量分析
多元统计
统计
数学
作者
Jing Wu,Haizhen Zhu,Qi Zhang,Yi Sun,XinYun He,Jiaqun Liao,Yuncong Liu,Limin Huang
摘要
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.
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