A clinically based prognostic index for diffuse large B-cell lymphoma with a cut-off at 70 years of age significantly improves prognostic stratification: population-based analysis from the Danish Lymphoma Registry

Leuk Lymphoma. 2015;56(9):2556-62. doi: 10.3109/10428194.2015.1010078. Epub 2015 Feb 17.

Abstract

The introduction of rituximab and generally improved health among elderly patients have increased the survival of patients with diffuse large B-cell lymphoma (DLBCL). The International Prognostic Index (IPI) from 1992 is based on pre-rituximab data from clinical trials including several lymphoma subtypes. We applied IPI factors to a population-based rituximab-treated cohort of 1990 patients diagnosed 2000-2010 and explored new factors and the optimal prognostic age cut-off for DLBCL. Multivariate-analyses (MVA) confirmed the prognostic value of all IPI factors except the presence of > 1 extranodal lesion. The optimal age cut-off was 70 years. In a MVA of albumin, lymphocyte count, sex, immunoglobulin G, bulky disease, hemoglobin and B-symptoms, only albumin was prognostic. We propose: (1) a modified DLBCL prognostic index (DLBCL-PI) including: age (70 years), performance status (PS), lactate dehydrogenase (LDH), stage and albumin level, and (2) a separate age-adjusted DLBCL-PI for patients ≤ 70 years including PS, LDH, albumin level and > 1 extranodal lesion, however excluding stage.

Keywords: Diffuse large B-cell lymphoma; prognostic index; rituximab; treatment.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors*
  • Aged
  • Aged, 80 and over
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use*
  • Cohort Studies
  • Combined Modality Therapy
  • Denmark
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Lymphoma, Large B-Cell, Diffuse / diagnosis
  • Lymphoma, Large B-Cell, Diffuse / therapy*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Outcome Assessment, Health Care / methods
  • Outcome Assessment, Health Care / statistics & numerical data
  • Prognosis
  • Proportional Hazards Models
  • Registries / statistics & numerical data*
  • Stem Cell Transplantation / methods*
  • Young Adult