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

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.