Maira A Castañeda-Avila1, Bill M Jesdale2, Ariel Beccia2, Ganga S Bey3, Mara M Epstein4. 1. Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Road North, Worcester, MA, 01655, USA. maira.castanedaavila@umassmed.edu. 2. Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Road North, Worcester, MA, 01655, USA. 3. Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA. 4. Meyers Primary Care Institute and the Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Abstract
PURPOSE: We examined the combined influences of race/ethnicity and neighborhood socioeconomic status (SES) on long-term survival among patients with multiple myeloma (MM). METHODS: Data from the 2000-2015 NCI Surveillance, Epidemiology, and End Results Program (SEER-18) were used. Census tract-level SES index was assessed in tertiles (low, medium, high SES). Competing-risk modeling was used to estimate sub-hazard ratios (SHR) and 95% confidence intervals (CIs) for SES tertile adjusted for sex and age at diagnosis and stratified by race/ethnicity. RESULTS: Overall, living in a low SES neighborhood was associated with worse MM survival. However, we observed some variation in the association by racial/ethnic group. Living in a low versus a high SES neighborhood was associated with a 35% (95% CI = 1.16-1.57) increase in MM-specific mortality risk among Asian/Pacific Islander cases, a 17% (95% CI = 1.12-1.22) increase among White cases, a 14% (95% CI = 1.04-1.23) increase among Black cases, and a 7% (95% CI = 0.96-1.19) increase among Hispanic cases. CONCLUSION: These results suggest that the influence of both SES and race/ethnicity should be considered when considering interventions to remedy disparities in MM survival.
PURPOSE: We examined the combined influences of race/ethnicity and neighborhood socioeconomic status (SES) on long-term survival among patients with multiple myeloma (MM). METHODS: Data from the 2000-2015 NCI Surveillance, Epidemiology, and End Results Program (SEER-18) were used. Census tract-level SES index was assessed in tertiles (low, medium, high SES). Competing-risk modeling was used to estimate sub-hazard ratios (SHR) and 95% confidence intervals (CIs) for SES tertile adjusted for sex and age at diagnosis and stratified by race/ethnicity. RESULTS: Overall, living in a low SES neighborhood was associated with worse MM survival. However, we observed some variation in the association by racial/ethnic group. Living in a low versus a high SES neighborhood was associated with a 35% (95% CI = 1.16-1.57) increase in MM-specific mortality risk among Asian/Pacific Islander cases, a 17% (95% CI = 1.12-1.22) increase among White cases, a 14% (95% CI = 1.04-1.23) increase among Black cases, and a 7% (95% CI = 0.96-1.19) increase among Hispanic cases. CONCLUSION: These results suggest that the influence of both SES and race/ethnicity should be considered when considering interventions to remedy disparities in MM survival.
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