Deparment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
J Gen Intern Med. 2021 Dec;36(12):3719-3727. doi: 10.1007/s11606-021-06785-7. Epub 2021 May 7.
Neighborhood-level characteristics, such as poverty, have been associated with risk factors for heart failure (HF), including hypertension and diabetes mellitus. However, the independent association between neighborhood poverty and incident HF remains understudied.
To evaluate the association between neighborhood poverty and incident HF using a "real-world" clinical cohort.
Retrospective cohort study of electronic health records from a large healthcare network. Individuals' residential addresses were geocoded at the census-tract level and categorized by poverty tertiles based on American Community Survey data (2007-2011).
Patients from Northwestern Medicine who were 30-80 years, free of cardiovascular disease at index visit (January 1, 2005-December 1, 2013), and followed for at least 5 years.
The association of neighborhood-level poverty tertile (low, intermediate, and high) and incident HF was analyzed using generalized linear mixed effect models adjusting for demographics (age, sex, race/ethnicity) and HF risk factors (body mass index, diabetes mellitus, hypertension, smoking status).
Of 28,858 patients included, 75% were non-Hispanic (NH) White, 43% were men, 15% lived in a high-poverty neighborhood, and 522 (1.8%) were diagnosed with incident HF. High-poverty neighborhoods were associated with a 1.80 (1.35, 2.39) times higher risk of incident HF compared with low-poverty neighborhoods after adjustment for demographics and HF risk factors.
In a large healthcare network, incident HF was associated with neighborhood poverty independent of demographic and clinical risk factors. Neighborhood-level interventions may be needed to complement individual-level strategies to prevent and curb the growing burden of HF.
社区层面的特征,如贫困,与心力衰竭(HF)的危险因素有关,包括高血压和糖尿病。然而,社区贫困与心力衰竭事件的独立相关性仍研究不足。
使用“真实世界”临床队列评估社区贫困与心力衰竭事件的相关性。
对大型医疗保健网络的电子健康记录进行回顾性队列研究。根据美国社区调查数据(2007-2011 年),将个体的居住地址进行地理编码,并按贫困三分位数进行分类。
西北医学中心的患者年龄在 30-80 岁之间,在指数就诊时(2005 年 1 月 1 日-2013 年 12 月 1 日)无心血管疾病,且随访时间至少 5 年。
使用广义线性混合效应模型分析社区贫困三分位数(低、中、高)与心力衰竭事件的相关性,调整人口统计学因素(年龄、性别、种族/民族)和心力衰竭危险因素(体重指数、糖尿病、高血压、吸烟状况)。
在 28858 名患者中,75%是非西班牙裔(NH)白人,43%是男性,15%居住在贫困程度较高的社区,522 人(1.8%)被诊断为心力衰竭事件。在调整人口统计学和心力衰竭危险因素后,与贫困程度较低的社区相比,贫困程度较高的社区发生心力衰竭事件的风险增加了 1.80 倍(1.35 倍,2.39 倍)。
在大型医疗保健网络中,心力衰竭事件的发生与社区贫困独立相关,不受人口统计学和临床危险因素的影响。可能需要社区层面的干预措施来补充个体层面的策略,以预防和遏制心力衰竭负担的不断增加。