Bower Aaron, Hsu Fang-Chi, Weaver Kathryn E, Yelton Caleb, Merrill Rebecca, Wicks Robert, Soike Mike, Hutchinson Angelica, McTyre Emory, Laxton Adrian, Tatter Stephen, Cramer Christina, Chan Michael, Lesser Glenn, Strowd Roy E
Wake Forest School of Medicine, Winston-Salem, North Carolina.
Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Neurooncol Pract. 2020 Jul;7(4):453-460. doi: 10.1093/nop/npaa010. Epub 2020 Mar 24.
Community economics and other social health determinants influence outcomes in oncologic patient populations. We sought to explore their impact on presentation, treatment, and survival in glioma patients.
A retrospective cohort of patients with glioma (World Health Organization grades III-IV) diagnosed between 1999 and 2017 was assembled with data abstracted from medical record review. Patient factors included race, primary care provider (PCP) identified, marital status, insurance status, and employment status. Median household income based on zip code was used to classify patients as residing in high-income communities (HICs; ie, above the median state income) or low-income communities (LICs; ie, below the median state income). The Kaplan-Meier method was used to assess overall survival (OS); Cox proportional hazards regression was used to explore associations with OS.
Included were 312 patients, 73% from LICs. Survivors residing in LICs and HICs did not differ by age, sex, race, tumor grade, having a PCP, employment status, insurance, time to presentation, or baseline performance status. Median OS was 4.1 months shorter for LIC patients (19.7 vs 15.6 mo; hazard ratio [HR], 0.75; 95% CI: 0.56-0.98, = 0.04); this difference persisted with 1-year survival of 66% for HICs versus 61% for LICs at 1 year, 34% versus 24% at 3 years, and 29% versus 17% at 5 years. Multivariable analysis controlling for age, grade, and chemotherapy treatment showed a 25% lower risk of death for HIC patients (HR, 0.75; 95% CI: 0.57-0.99, < 0.05).
The economic status of a glioma patient's community may influence survival. Future efforts should investigate potential mechanisms such as health care access, stress, treatment adherence, and social support.
社区经济及其他社会健康决定因素会影响肿瘤患者群体的治疗结果。我们试图探讨它们对胶质瘤患者的就诊、治疗及生存的影响。
回顾性纳入1999年至2017年间确诊的胶质瘤患者(世界卫生组织III-IV级)队列,数据来自病历审查。患者因素包括种族、确定的初级保健提供者(PCP)、婚姻状况、保险状况及就业状况。根据邮政编码划分的家庭收入中位数用于将患者分类为居住在高收入社区(HICs;即高于州收入中位数)或低收入社区(LICs;即低于州收入中位数)。采用Kaplan-Meier法评估总生存期(OS);采用Cox比例风险回归分析探讨与OS的相关性。
共纳入312例患者,73%来自LICs。居住在LICs和HICs的幸存者在年龄、性别、种族、肿瘤分级、是否有PCP、就业状况、保险、就诊时间或基线表现状态方面无差异。LIC患者的中位OS短4.1个月(19.7个月对15.6个月;风险比[HR],0.75;95%CI:0.56-0.98,P = 0.04);这种差异在1年生存率中持续存在,HICs为66%,LICs为61%;3年时分别为34%和24%;5年时分别为29%和17%。在控制年龄、分级和化疗治疗的多变量分析中,HIC患者的死亡风险降低25%(HR,0.75;95%CI:0.57-0.99,P < 0.05)。
胶质瘤患者所在社区的经济状况可能影响生存。未来的研究应调查潜在机制,如医疗保健可及性、压力、治疗依从性和社会支持。