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Race/Ethnicity, Primary Language, and Income Are Not Demographic Drivers of Mortality in Breast Cancer Patients at a Diverse Safety Net Academic Medical Center

机译:在多样化的安全网学术医学中心,种族/民族,主要语言和收入并不是乳腺癌患者死亡率的人口统计学驱动因素

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Objective. To examine the impact of patient demographics on mortality in breast cancer patients receiving care at a safety net academic medical center.Patients and Methods. 1128 patients were diagnosed with breast cancer at our institution between August 2004 and October 2011. Patient demographics were determined as follows: race/ethnicity, primary language, insurance type, age at diagnosis, marital status, income (determined by zip code), and AJCC tumor stage. Multivariate logistic regression analysis was performed to identify factors related to mortality at the end of follow-up in March 2012.Results. There was no significant difference in mortality by race/ethnicity, primary language, insurance type, or income in the multivariate adjusted model. An increased mortality was observed in patients who were single (OR = 2.36, CI = 1.28–4.37,p=0.006), age > 70 years (OR = 3.88, CI = 1.13–11.48,p=0.014), and AJCC stage IV (OR = 171.81, CI = 59.99–492.06,p<0.0001).Conclusions. In this retrospective study, breast cancer patients who were single, presented at a later stage, or were older had increased incidence of mortality. Unlike other large-scale studies, non-White race, non-English primary language, low income, or Medicaid insurance did not result in worse outcomes.
机译:目的。在安全网学术医学中心检查患者人口统计信息对乳腺癌患者死亡率的影响。患者和方法。在2004年8月至2011年10月之间,我们机构共诊断出1128例乳腺癌。患者的人口统计数据如下:种族/民族,主要语言,保险类型,诊断年龄,婚姻状况,收入(由邮政编码确定)和AJCC肿瘤分期。在2012年3月随访结束时进行了多因素logistic回归分析,以识别与死亡率相关的因素。在多元调整模型中,按种族/民族,主要语言,保险类型或收入划分的死亡率没有显着差异。单身(OR = 2.36,CI = 1.28–4.37,p = 0.006),年龄> 70岁(OR = 3.88,CI = 1.13–11.48,p = 0.014)和AJCC IV期患者观察到死亡率增加(OR = 171.81,CI = 59.99–492.06,p <0.0001)。结论。在这项回顾性研究中,单身,晚期出现或年龄较大的乳腺癌患者死亡率增加。与其他大规模研究不同,非白人种族,非英语主要语言,低收入或医疗保险不会导致更糟的结果。

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