Journal article
Comorbidity burden and prognosis in patients aged 80+ years with large B-cell lymphoma
Clinical lymphoma, myeloma and leukemia
09/23/2026
DOI: 10.1016/j.clml.2026.09.015
PMCID: PMC13689689
PMID: 42881024
Abstract
Background
Patients aged 80+ years with large B-cell lymphoma (LBCL) represent a rapidly growing and vulnerable population where conventional prognostic indices inadequately capture comorbidity burden. We evaluated prognostic value of the LEO Comorbidity Index (LCI) and derived simplified comorbidity model in this setting.
Methods
In a pooled cohort of 539 patients aged 80+ years with LBCL from two independent international cohorts, we evaluated associations between comorbidities/LCI (based on ten comorbidity categories) and OS or EFS. Model discrimination and fit were assessed using C-indices and likelihood ratio tests.
Results
LCI categories were 0 (19%), 1 (31%), 2+ (50%). Higher LCI predicted inferior OS (LCI 1 vs 0: HR=1.43 [95% CI 1.04-1.97]; LCI 2+ vs 0: HR=1.88 [1.40-2.53]), EFS (LCI 1 vs 0: HR=1.37 [1.00-1.87]; LCI 2+ vs 0: HR=1.78 [1.33-2.38]), and higher non-lymphoma mortality (2-year, LCI=0 11%, LCI=1 13%, LCI 2+ 26%). Heart disease (48%), prior or concurrent malignancy (9%), and stroke (8%) independently predicted OS, and were combined into the MaSH-CI (Malignancy, Stroke, Heart disease; one point each), stratifying patients into scores 0 (44%), 1 (47%), and 2+ (9%). Higher MaSH-CI predicted inferior OS (MaSH-CI 1 vs 0: HR=1.59 [1.27-1.98]; MaSH-CI 2+ vs 0: HR=2.43 [1.70-3.47]). Adding LCI or MaSH-CI to IPI/SENIOR-IPI significantly improved model fit and discrimination across all endpoints (ΔC-index 0.02–0.03).
Conclusion
Multi-morbidity is a strong predictor of outcomes in LBCL patients aged 80+ years. The simplified MaSH-CI provides additive prognostic value beyond conventional prognostic indices and offers a practical tool for risk-adapted management in this population.
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Details
- Title: Subtitle
- Comorbidity burden and prognosis in patients aged 80+ years with large B-cell lymphoma
- Creators
- Prokop Vodička - Charles UniversityMichal Masár - Charles UniversityCarrie A. Thompson - Mayo ClinicDavid Belada - Charles UniversityGeorge A. Cholack - Mayo ClinicKateřina Benešová - Charles UniversityIzidore S. Lossos - Sylvester Comprehensive Cancer CenterHeidi Móciková - Charles UniversityDiana Maláriková - Charles UniversityAnnaLynn M. Williams - University of Rochester MedicineVít Procházka - University Hospital OlomoucKamila Polgárová - Charles UniversityChijioke C. Nze - The University of Texas MD Anderson Cancer CenterJuraj Ďuraš - University Hospital OstravaJan Kořen - Charles UniversityJonathon B. Cohen - Emory UniversityKateřina Steinerová - Charles UniversityJana Šálková - Charles UniversityAndrew L. Feldman - Mayo ClinicJosef Karban - Charles UniversityEric Mou - University of IowaAlice Sýkorová - University Hospital Hradec KrálovéPetra Kovaříková - Charles UniversityElliot J. Cahn - Mayo ClinicAleš Obr - Palacký University OlomoucEva Konířová - Charles UniversityPeter Martin - Weill Cornell MedicineJitka Dlouhá - Datacenter, Czech Lymphoma Study Group, Prague, Czech RepublicMazie Tsang - Mayo Clinic HospitalDilan Patel - Washington University in St. LouisPetra Blahovcová - Datacenter, Czech Lymphoma Study Group, Prague, Czech RepublicPatrick M. Reagan - University of Rochester MedicineDavid Jaye - Emory UniversityMagdalena Klánová - Charles UniversityJonathan W. Friedberg - University of Rochester MedicineVít Campr - Charles UniversityChristopher R. Flowers - The University of Texas MD Anderson Cancer CenterPavel Klener - Charles UniversityMatthew J. Maurer - Mayo ClinicThomas M. Habermann - Mayo ClinicMarek Trněný - Charles UniversityJames R. Cerhan - Mayo Clinic
- Resource Type
- Journal article
- Publication Details
- Clinical lymphoma, myeloma and leukemia
- DOI
- 10.1016/j.clml.2026.09.015
- PMID
- 42881024
- PMCID
- PMC13689689
- NLM abbreviation
- Clin Lymphoma Myeloma Leuk
- ISSN
- 2152-2650
- Publisher
- Elsevier Inc
- Language
- English
- Electronic publication date
- 09/23/2026
- Academic Unit
- Hematology, Oncology, and Blood & Marrow Transplantation; Epidemiology; Internal Medicine
- Record Identifier
- 9985241977402771
Metrics
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