Abstract
Predictive performance of the LEO comorbidity index in patients aged 80+ years with large B-cell lymphoma
Blood, Vol.146, pp.2741-2741
11/03/2025
DOI: 10.1182/blood-2025-2741
Abstract
Introduction The LEO Comorbidity Index (LCI), comprising ten equally weighted comorbidity categories (respiratory, cardiovascular, digestive, hepatic, renal, autoimmune, diabetes, cancer history, HIV, and stroke), has demonstrated prognostic utility in patients with non-Hodgkin lymphomas. However, its predictive accuracy may vary with increasing age, due to age-related rises in comorbidity burden and physiological vulnerability. To investigate these dynamics, we evaluated the age-stratified predictive performance of LCI in patients with large B-cell lymphoma (LBCL), with a focused analysis on individuals aged 80+ years. We also examined which specific comorbidities most strongly influenced overall survival (OS) and developed a simplified, clinically applicable index tailored to this population.
Methods We first included adults ≥40 years with newly diagnosed LBCL and recorded comorbidities from the LEO registry (USA, 2015–2020; n=1,652) to assess age-stratified predictive performance of LCI using the C-index. Next, we focused on patients 80+ years (n=263), pooled from the LEO cohort (n=147) and NiHiL registry (restricted to General Hospital, Prague, Czech Republic, 2010–2023; n=116). Comorbidities were collected from patient self-reports (LEO) and/or medical records (LEO/NiHiL). Univariate and multivariate Cox models were used. The primary endpoint was OS.
Results Among the total LBCL population (n=1,652), LCI predictive performance improved by age category with C-index for patients <65 of 0.584, 65–79 years 0.579, and ≥80 years 0.647, indicating stronger discrimination in the 80+ group.
Subsequent analysis focused on patients aged 80+ years (n=263; median age 83). Within this cohort, 34% had ECOG performance status (PS) 2–4, 66% stage III–IV disease, 59% elevated lactate dehydrogenase, 35% >1 extranodal site involved, and 58% International Prognostic Index (IPI) score of 3–5. A total of 377 comorbidities were reported, averaging 1.43 per patient (1.22 in LEO; 1.61 in NiHiL). LCI distribution was: 0 points in 24% (n=62), 1 point in 33% (n=88), and 2–5 points in 43% (n=113). Higher LCI scores had worse ECOG PS 2–4: 19% (LCI=0), 33% (LCI=1), and 43% (LCI ≥2; P=0.01), and inferior OS (median 6.9 years LCI=0, 3.0 years LCI=1, and 2.8 years LCI≥2, resp.; P=0.02). Presence of ≥1 comorbidity was associated with shorter OS compared to no comorbidities (HR=1.67, P=0.01). The LCI was an independent predictor of OS after adjusting for age (HR=1.18, P=0.01, C-index 0.623), IPI (HR=1.16, P=0.03, C-index 0.628) as well as for recently proposed SENIOR-IPI (HR=1.14, P=0.049, C-index 0.665).
When evaluating individual comorbidities, heart disease (HR=1.54, P=0.01), stroke (HR=1.89, P=0.03), and recent malignancy (HR=1.99, P=0.02) were independent predictors of OS. Based on these findings, we developed a simplified LCI (sLCI) for use in 80+ patients incorporating only the three comorbidities (1 point each). Patients were categorized as sLCI: 0 (49%, n=129), 1 (44%, n=115), and 2–3 points (7%, n=19). sLCI scores 0, 1, 2–3 were associated with ECOG PS 2–4 27%, 37%, and 63%, respectively (P=0.01) and inferior OS: median 5.3 years (0), 2.5 years (1), and 1.4 years (2–3; P<0.01). sLCI remained an independent and strong predictor of OS after adjusting for age (HR=1.71, P<0.01, C-index 0.636), IPI (HR=1.66, P<0.01, C-index 0.635), and SENIOR-IPI (HR=1.60, P<0.04, C-index 0.659). The results were consistent in both NiHiL and LEO cohorts and remained significant among patients treated with anthracyclines (sLCI adjusted for age: HR=1.58, P<0.01, C-index 0.607; for IPI: HR=1.53, P=0.01, C-index 0.623; for SENIOR-IPI: HR=1.51, P=0.01, C-index 0.633).
Conclusion Comorbidity burden becomes increasingly prognostic with higher age in LBCL patients. In the 80+ individuals, comorbidities – particularly heart disease, recent cancer, and stroke – have an independent impact on OS. While the original LCI captures the impact of broadly defined comorbidities, its prognostic utility attenuates in the 80+ patients, likely reflecting limited relevance of indolent chronic conditions in this population's constrained survival horizon. The sLCI, focused on the most prognostically relevant comorbidities, offers practical risk stratification. Incorporation of sLCI into clinical decision-making – alongside other prognostic indices – could better identify high-risk individuals and guide treatment strategies.
Funding: NU21-03-00411, U01 CA195568.
Details
- Title: Subtitle
- Predictive performance of the LEO comorbidity index in patients aged 80+ years with large B-cell lymphoma
- Creators
- Prokop Vodicka - Charles UniversityMichal Masar - Charles UniversityCarrie Thompson - Mayo ClinicKaterina Benesova - Charles UniversityIzidore S. Lossos - Sylvester Comprehensive Cancer CenterDiana Malarikova - Charles UniversityAnnalynn Williams - University of Rochester Medical CenterKamila Polgarova - Charles UniversityChijioke Nze - The University of Texas MD Anderson Cancer CenterJan Koren - Charles UniversityJonathon Cohen - Winship Cancer InstituteJana Salkova - Charles UniversityAndrew Feldman - Mayo ClinicJosef Karban - Charles UniversityEric Mou - University of IowaPetra Kovarikova - Charles UniversityElliot Cahn - Mayo ClinicEva Konirova - Charles UniversityPeter Martin - Weill Cornell MedicineJitka Dlouha - Czech Lymphoma Study Group, Datacenter, Prague, Czech RepublicMazie Tsang - Mayo Clinic in ArizonaDilan Patel - Washington University in St. LouisPetra Blahovcova - Czech Lymphoma Study Group, Datacenter, Prague, Czech RepublicPatrick Reagan - University of Rochester Medical CenterDavid Jaye - Emory UniversityMagdalena Klanova - Charles UniversityJonathan Friedberg - University of Rochester Medical CenterChristopher Flowers - The University of Texas MD Anderson Cancer CenterPavel Klener - Charles UniversityMatthew Maurer - Mayo ClinicThomas Habermann - Mayo ClinicMarek Trneny - Charles UniversityJames Cerhan - Mayo Clinic
- Resource Type
- Abstract
- Publication Details
- Blood, Vol.146, pp.2741-2741
- DOI
- 10.1182/blood-2025-2741
- ISSN
- 0006-4971
- eISSN
- 1528-0020
- Publisher
- Elsevier Inc
- Number of pages
- 1
- Language
- English
- Date published
- 11/03/2025
- Academic Unit
- Hematology, Oncology, and Blood & Marrow Transplantation; Epidemiology; Internal Medicine
- Record Identifier
- 9985091810102771
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