Nomogram based on the systemic immune-inflammation index for predicting the prognosis of diffuse large B-cell
Jing Wu1, Haizhen Zhu1, Qi Zhang1
1Department of Oncology, Guizhou Provincial People's Hospital, Guizhou Cancer Center, Guiyang, China.
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.
