Faculty, Staff and Student Publications
Publication Date
6-13-2023
Journal
Blood Advances
Abstract
For patients with non-Hodgkin lymphoma (NHL), formal comorbidity assessment is recommended but is rarely conducted in routine practice. A simple, validated measure of comorbidities that standardizes their assessment could improve adherence to guidelines. We previously constructed the 3-factor risk estimate scale (TRES) among patients with chronic lymphocytic leukemia (CLL). Here, we investigated TRES in multiple NHL subtypes. In the surveillance, epidemiology, and end results-Medicare database, patients with NHL diagnosed from 2008 to 2017 were included. Upper gastrointestinal, endocrine, and vascular comorbidities were identified using ICD-9/ICD-10 codes to assign TRES scores. Patient characteristic distributions were compared using χ2 or t test. Association of mortality and TRES score was assessed using Kaplan-Meier and multivariable Cox regression model for competing risk. A total of 40 486 patients were included in the study. Median age was 77 years (interquartile range [IQR], 71-83 years). The most frequent NHL subtypes were CLL (28.2%), diffuse large B-cell (27.6%), and follicular lymphoma (12.6%). Median follow-up was 33 months (IQR, 13-60 months). TRES was low, intermediate, and high in 40.8%, 37.0%, and 22.2% of patients, corresponding to median overall survival (OS) of 8.2, 5.3, and 2.9 years (P < .001), respectively. TRES was associated with OS in all NHL subtypes. In multivariable models, TRES was associated with inferior OS and NHL-specific survival. TRES is clinically translatable and associated with OS and lymphoma-specific survival in older adults with NHL.
Keywords
Humans, Aged, United States, Aged, 80 and over, Leukemia, Lymphocytic, Chronic, B-Cell, Medicare, Lymphoma, Non-Hodgkin, Lymphoma, Follicular, Comorbidity
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Medical Sciences Commons, Neurology Commons, Oncology Commons, Rheumatology Commons
Comments
Supplementary Materials
PMID: 36753602