Asia-Pacific journal of clinical oncology · 2022
Nomogram based on the systemic immune-inflammation index for predicting the prognosis of diffuse large B-cell lymphoma.
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Wu Jing, Zhu Haizhen, Zhang Qi, Sun Yi, He XinYun, Liao Jiaqun, Liu Yuncong, Huang Limin
Аннотация
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.
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.