Trends and disparities in diffuse non-Hodgkin lymphoma-related mortality among u.S. elderly adults: A nationwide analysis (1999-2020) with projections to 2030

Abstract Abstract Background: Diffuse Non-Hodgkin Lymphoma (DNHL) remains a significant contributor to cancer-related mortality among the elderly in the United States (U.S.). Objectives: In this study, we aim to analyze the temporal trends and demographic-geographic disparities in DNHL-related deaths among U.S. adults aged ≥55 years from 1999 to 2020, with projections 2030. Methods: Mortality data were extracted from the CDC WONDER database, identifying decedents aged ≥55 years with DNHL (ICD-10 codes C83.0–C83.9) as the underlying cause of death. Crude mortality rates (CMRs) and age-adjusted mortality rates (AAMRs) per 100,000 population were calculated. Temporal trends were analyzed using Joinpoint regression to estimate annual percent change (APC) and average annual percent change (AAPC) along with 95% confidence intervals (CIs). Stratified analyses were conducted by sex, race/ethnicity, census region, state, and urbanization status. Mortality trends were projected through 2030 using an autoregressive integrated moving average (ARIMA) model in R Studio (4.4.3). Model fit was evaluated using AIC and residuals. Results: A total of 66,991 deaths were recorded due to DNHL among elderly individuals between 1999 and 2020, with a significant overall AAPC of 2.82 (95% CI: 0.99 to 4.68, p = 0.002). The AAMR initially declined from 3.72 (1999) to 2.6 (2008) with an APC of -4.20, then rose substantially to 6.44 by 2020 (APC: 5.27). Males exhibited a higher AAMR (5.89) than females (2.97), with significant AAPCs of 2.80 (95% CI: 1.4 to 4.2). By race/ethnicity, Whites had the highest AAMR (4.45), followed by Hispanics (3.46) and Blacks (2.33), with rising trends observed across all groups post-2006. Urbanization analysis revealed the highest AAMRs in Micropolitan and Small Metro areas, with consistently rising trends since 2008. Regionally, the Midwest exhibited the highest AAMR (5.00), followed by the West (4.41), South (3.85), and Northeast (3.70). State-level AAMRs ranged from 2.62 (Nevada) to 8.00 (Iowa). The highest crude death rates were among those aged ≥85, increasing from 7.44 to 18.41 (AAPC: 4.35; 95% CI: 2.68, 6.05). ARIMA models projected the AAMR to reach 9.18 by 2030 (6.71 in females and 11.71 in males). Conclusion: After an initial decline, age-adjusted mortality from DNHL among the elderly has significantly increased since 2008 across nearly all demographic and geographic subgroups. These findings underscore the need for renewed public health focus on targeted cancer control strategies, especially among males, rural populations, and specific racial/ethnic groups.Keywords: Diffuse Non-Hodgkin Lymphoma; Mortality Trends; Elderly Population; Forecasting Analysis

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Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-8026
Primary Topic
Lymphoma Diagnosis and Treatment
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article
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article

Trends and disparities in diffuse non-Hodgkin lymphoma-related mortality among u.S. elderly adults: A nationwide analysis (1999-2020) with projections to 2030

Muhammad Usman, Nimra Mumtaz, Maria Qadri, Annahita Ehsan et al.
Blood
Lymphoma Diagnosis and Treatment
article

Trends and disparities in diffuse non-Hodgkin lymphoma-related mortality among u.S. elderly adults: A nationwide analysis (1999-2020) with projections to 2030

Muhammad Usman, Nimra Mumtaz, Maria Qadri, Annahita Ehsan, Basel Al-Khatib, Prutha Pathak, SM Tanjil Shah, O N Gill, Usama Qamar, M. Maqsood, Momina Khalid, Ahmed Asif
article en

Abstract

Abstract Abstract Background: Diffuse Non-Hodgkin Lymphoma (DNHL) remains a significant contributor to cancer-related mortality among the elderly in the United States (U.S.). Objectives: In this study, we aim to analyze the temporal trends and demographic-geographic disparities in DNHL-related deaths among U.S. adults aged ≥55 years from 1999 to 2020, with projections 2030. Methods: Mortality data were extracted from the CDC WONDER database, identifying decedents aged ≥55 years with DNHL (ICD-10 codes C83.0–C83.9) as the underlying cause of death. Crude mortality rates (CMRs) and age-adjusted mortality rates (AAMRs) per 100,000 population were calculated. Temporal trends were analyzed using Joinpoint regression to estimate annual percent change (APC) and average annual percent change (AAPC) along with 95% confidence intervals (CIs). Stratified analyses were conducted by sex, race/ethnicity, census region, state, and urbanization status. Mortality trends were projected through 2030 using an autoregressive integrated moving average (ARIMA) model in R Studio (4.4.3). Model fit was evaluated using AIC and residuals. Results: A total of 66,991 deaths were recorded due to DNHL among elderly individuals between 1999 and 2020, with a significant overall AAPC of 2.82 (95% CI: 0.99 to 4.68, p = 0.002). The AAMR initially declined from 3.72 (1999) to 2.6 (2008) with an APC of -4.20, then rose substantially to 6.44 by 2020 (APC: 5.27). Males exhibited a higher AAMR (5.89) than females (2.97), with significant AAPCs of 2.80 (95% CI: 1.4 to 4.2). By race/ethnicity, Whites had the highest AAMR (4.45), followed by Hispanics (3.46) and Blacks (2.33), with rising trends observed across all groups post-2006. Urbanization analysis revealed the highest AAMRs in Micropolitan and Small Metro areas, with consistently rising trends since 2008. Regionally, the Midwest exhibited the highest AAMR (5.00), followed by the West (4.41), South (3.85), and Northeast (3.70). State-level AAMRs ranged from 2.62 (Nevada) to 8.00 (Iowa). The highest crude death rates were among those aged ≥85, increasing from 7.44 to 18.41 (AAPC: 4.35; 95% CI: 2.68, 6.05). ARIMA models projected the AAMR to reach 9.18 by 2030 (6.71 in females and 11.71 in males). Conclusion: After an initial decline, age-adjusted mortality from DNHL among the elderly has significantly increased since 2008 across nearly all demographic and geographic subgroups. These findings underscore the need for renewed public health focus on targeted cancer control strategies, especially among males, rural populations, and specific racial/ethnic groups.Keywords: Diffuse Non-Hodgkin Lymphoma; Mortality Trends; Elderly Population; Forecasting Analysis

BloodVol. 146(Supplement 1)
Alfaisal University (SA), King Edward Medical University (PK), SUNY Upstate Medical University (US), Jinnah Sindh Medical University (PK), Unity Health System (US), Rochester General Hospital (US), Mobile Infirmary (US), University of South Alabama Medical Center (US)
Openalex Percentile: Top 47%
Lymphoma Diagnosis and Treatment
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