Hong Yoon Duk, Mullins C Daniel, Onukwugha Eberechukwu, Yared Jean A, Zheng Zhiyuan, Slejko Julia F
Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
J Geriatr Oncol. 2023 Mar;14(2):101415. doi: 10.1016/j.jgo.2022.12.003. Epub 2023 Feb 9.
Lower individual-level socioeconomic status (SES) and area-level SES have each been associated with poor survival outcomes among patients with multiple myeloma (MM). A body of literature suggests that individual-level SES may be differentially associated with mortality depending on area-level SES, and vice versa. This study assessed the effect of the cross-level interaction between individual low-income status and area deprivation on mortality among patients with MM.
This retrospective cohort study used the Surveillance, Epidemiology, and End Results (SEER)-Medicare data (2006-2016). Individuals were defined as having low income if they were dually eligible for Medicare and Medicaid and/or if they received the Low-Income Subsidy. The county-level Social Deprivation Index (SDI) was linked to individual-level SEER-Medicare data and categorized into quintiles, from the least deprived (Quintile 1) to the most deprived (Quintile 5). Adjusted hazard ratios (HRs) for the associations between low-income status, area deprivation, and all-cause mortality were estimated from a mixed-effects Cox proportional-hazards (PH) model.
The mortality hazard was higher for individuals with low income than individuals without low income in all quintiles of area deprivation, with the exception of Quintile 5 (Quintile 1: HR 1.53 [95% confidence interval [CI]: 1.32-1.77]; Quintile 2: HR 1.17 [95%CI: 1.01-1.36]; Quintile 3: HR 1.34 [95%CI: 1.18-1.53]; Quintile 4: HR 1.33 [95%CI: 1.17-1.52]; Quintile 5: HR 1.09 [95%CI: 0.96-1.23]). Among individuals without low income, individuals residing in the most deprived area had a higher mortality hazard than individuals residing in the least deprived area (HR: 1.22 [95%CI: 1.03-1.45]). In contrast, among individuals with low income, residing in a more deprived area, Quintile 2, was associated with a lower hazard of death than residing in the least deprived area, Quintile 1 (HR: 0.82 [95%CI: 0.67-0.99]), and there was no statistically significant difference between Quintile 1 and Quintiles 3, 4, and 5.
In this analysis, there was a statistically significant cross-level interaction between individual low-income status and area deprivation on mortality. More research is needed to fully understand the mechanism behind these associations, but the findings show that patients and their health should be considered in the context of where they live.
较低的个体层面社会经济地位(SES)和地区层面的SES均与多发性骨髓瘤(MM)患者的不良生存结果相关。大量文献表明,个体层面的SES可能因地区层面的SES不同而与死亡率存在差异关联,反之亦然。本研究评估了个体低收入状态与地区贫困之间的跨层面交互作用对MM患者死亡率的影响。
这项回顾性队列研究使用了监测、流行病学和最终结果(SEER)-医疗保险数据(2006 - 2016年)。如果个体同时符合医疗保险和医疗补助资格和/或接受低收入补贴,则被定义为低收入者。县级社会剥夺指数(SDI)与个体层面的SEER - 医疗保险数据相关联,并分为五个五分位数,从剥夺程度最低(第一五分位数)到剥夺程度最高(第五五分位数)。通过混合效应Cox比例风险(PH)模型估计低收入状态、地区剥夺与全因死亡率之间关联的调整风险比(HRs)。
在除第五五分位数外的所有地区剥夺五分位数中,低收入个体的死亡风险均高于非低收入个体(第一五分位数:HR 1.53 [95%置信区间[CI]:1.32 - 1.77];第二五分位数:HR 1.17 [95%CI:1.01 - 1.36];第三五分位数:HR 1.34 [95%CI:1.18 - 1.53];第四五分位数:HR 1.33 [95%CI:1.17 - 1.52];第五五分位数:HR 1.09 [95%CI:0.96 - 1.23])。在非低收入个体中,居住在剥夺程度最高地区的个体比居住在剥夺程度最低地区的个体死亡风险更高(HR:1.22 [95%CI:1.03 - 1.45])。相比之下,在低收入个体中,居住在剥夺程度较高的第二五分位数地区的个体比居住在剥夺程度最低的第一五分位数地区的个体死亡风险更低(HR:0.82 [95%CI:0.67 - 0.99]),并且第一五分位数与第三五分位数、第四五分位数和第五五分位数之间没有统计学上的显著差异。
在本分析中,个体低收入状态与地区剥夺之间在死亡率方面存在统计学上的显著跨层面交互作用。需要更多研究来充分理解这些关联背后的机制,但研究结果表明,应在患者居住环境的背景下考虑患者及其健康状况。