Panagis Galiatsatos1, Emily P Brigham2, Juliana Pietri3, Kathleen Littleton4, Seungyoung Hwang2, Michael C Grant5, Nadia N Hansel2, Edward S Chen2. 1. 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. Electronic address: panagis@jhmi.edu. 2. Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States. 3. Medicine for the Greater Good, Department of Medicine, Johns Hopkins Bayview Medical Center, United States. 4. Johns Hopkins University School of Nursing, Baltimore, MD, United States. 5. Department of Anesthesiology and Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Abstract
PURPOSE: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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. Published by Elsevier Inc.
PURPOSE: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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. Published by Elsevier Inc.
Entities:
Keywords:
Community; Health disparities; Poverty; Sepsis
Authors: Sam Zager; Mallika L Mendu; Domingo Chang; Heidi S Bazick; Andrea B Braun; Fiona K Gibbons; Kenneth B Christopher Journal: Chest Date: 2011-03-31 Impact factor: 9.410
Authors: Vincent Liu; Gabriel J Escobar; John D Greene; Jay Soule; Alan Whippy; Derek C Angus; Theodore J Iwashyna Journal: JAMA Date: 2014-07-02 Impact factor: 56.272
Authors: Gagan Kumar; Amit Taneja; Tilottama Majumdar; Elizabeth R Jacobs; Jeff Whittle; Rahul Nanchal Journal: Crit Care Med Date: 2014-03 Impact factor: 7.598
Authors: Justin Xavier Moore; John P Donnelly; Russell Griffin; Monika M Safford; George Howard; John Baddley; Henry E Wang Journal: Int J Epidemiol Date: 2017-10-01 Impact factor: 7.196
Authors: Destini A Smith; Alan Akira; Kenneth Hudson; Andrea Hudson; Marcellus Hudson; Marcus Mitchell; Errol Crook Journal: Prev Med Rep Date: 2017-06-15
Authors: Justin Xavier Moore; John P Donnelly; Russell Griffin; Monika M Safford; George Howard; John Baddley; Henry E Wang Journal: Crit Care Date: 2015-07-10 Impact factor: 9.097
Authors: Hunter Hamilton; Alina N West; Nariman Ammar; Lokesh Chinthala; Fatma Gunturkun; Tamekia Jones; Arash Shaban-Nejad; Samir H Shah Journal: Front Public Health Date: 2022-04-29