Age-Related Disease Risks in Younger versus Older B-Cell Non-Hodgkin's Lymphoma Survivors

Cancer Epidemiol Biomarkers Prev. 2021 Dec;30(12):2268-2277. doi: 10.1158/1055-9965.EPI-21-0190. Epub 2021 Nov 3.

Abstract

Background: Younger cancer survivors may develop age-related diseases due to the cancer treatment that they undergo. The aim of this population-based study is to estimate incidence of age-related diseases besides cardiovascular disease among younger versus older B-cell non-Hodgkin's lymphoma (B-NHL) survivors compared with their respective general population cohorts.

Methods: Survivors of B-NHL were diagnosed between 1997 and 2015 from the Utah Cancer Registry. Using the Utah Population Database, up to 5 cancer-free individuals from the general population were matched with a B-NHL survivor on sex, birth year, and state of birth. Hazard ratios (HR) for age-related disease outcomes, which were identified from medical records and statewide health care facility data, were estimated using Cox Proportional Hazards models for B-NHL survivors diagnosed at <65 years versus ≥65 years at least 5 years since B-NHL diagnosis.

Results: Comparing 2,129 B-NHL survivors with 8,969 individuals from the general population, younger B-NHL survivors had higher relative risks of acute renal failure [HR, 2.24; 99% confidence interval (CI), 1.48-3.39; P heterogeneity = 0.017), pneumonia (HR, 2.42; 99% CI, 1.68-3.49; P heterogeneity = 0.055), and nutritional deficiencies (HR, 2.08; 99% CI, 1.48-2.92; P heterogeneity = 0.051) ≥5 years after cancer diagnosis.

Conclusion: Younger B-NHL survivors had higher relative risks of acute renal failure, pneumonia, and nutritional deficiencies than older B-NHL survivors compared with their respective general population cohorts, ≥5 years after cancer diagnosis.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Aging
  • Cancer Survivors / statistics & numerical data*
  • Chronic Disease / epidemiology
  • Female
  • Humans
  • Lymphoma, B-Cell / epidemiology
  • Lymphoma, B-Cell / therapy*
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care / statistics & numerical data*
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Assessment