Critical Care Medicine Department, National Institutes of Health, Bethesda, MD, United States; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Medicine for the Greater Good, Department of Medicine, Johns Hopkins Bayview Medical Center, United States.
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
J Crit Care. 2018 Aug;46:129-133. doi: 10.1016/j.jcrc.2018.01.008. Epub 2018 Jan 12.
Community factors may play a role in determining individual risk for sepsis, as well as sepsis-related morbidity and mortality. We sought to define the relationship between community socioeconomic status and mortality due to sepsis in an urban locale.
Using community statistical areas of Baltimore City, we dichotomized neighborhoods at median household income, and compared distribution of outcomes of interest within the two income categories. We performed multivariable regression analyses to determine the relationship between socioeconomic variables and sepsis-attributable mortality.
The collective median household income was $38,660 (IQR $32,530, 54,480), family poverty rate was 28.4% (IQR 13.5, 38.8%), and rate of death from sepsis was 3.1 per 10,000 persons (IQR 2.60, 4.10). Lower household income communities demonstrated higher rates of death from sepsis (3.65 (IQR 2.78, 4.40)) than higher household income communities (2.80 (IQR 2.05, 3.55)) (p = .02). In regression models, household income (β = -8.42, p = .006) and percentage of poverty in communities (β = 2.71, p = .01) demonstrated associations with sepsis-attributable mortality.
Our findings suggest that socioeconomic variables play significant role in sepsis-attributable mortality. Such confirmation of regional disparities in mortality due to sepsis warrants further consideration, as well as integration, for future national sepsis policies.
社区因素可能在决定个体发生脓毒症的风险,以及与脓毒症相关的发病率和死亡率方面发挥作用。我们试图确定城市环境中社区社会经济地位与脓毒症死亡率之间的关系。
我们使用巴尔的摩市的社区统计区,将邻里按家庭中位数收入分为两类,并比较了这两个收入类别中感兴趣的结果的分布。我们进行了多变量回归分析,以确定社会经济变量与脓毒症相关死亡率之间的关系。
集体中位数家庭收入为 38660 美元(IQR32530,54480),家庭贫困率为 28.4%(IQR13.5,38.8%),脓毒症死亡率为 3.1/10000 人(IQR2.60,4.10)。家庭收入较低的社区脓毒症死亡率较高(3.65(IQR2.78,4.40)),而家庭收入较高的社区死亡率较低(2.80(IQR2.05,3.55))(p=0.02)。在回归模型中,家庭收入(β=-8.42,p=0.006)和社区贫困率(β=2.71,p=0.01)与脓毒症相关死亡率相关。
我们的研究结果表明,社会经济变量在脓毒症相关死亡率中起着重要作用。这种对脓毒症死亡率的区域性差异的确认需要进一步考虑,并为未来的国家脓毒症政策提供整合。