Association Between Socioeconomic Disadvantage and Risks of Early and Recurrent Admissions Among Patients With Newly Diagnosed Heart Failure.

dc.contributor.author

Dhingra, Radha

dc.contributor.author

Xu, Hanzhang

dc.contributor.author

Hammill, Bradley G

dc.contributor.author

Lynch, Scott M

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West, Jessica S

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Green, Michael D

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Peterson, Eric D

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Curtis, Lesley H

dc.contributor.author

Dupre, Matthew E

dc.date.accessioned

2026-03-05T22:08:06Z

dc.date.available

2026-03-05T22:08:06Z

dc.date.issued

2024-12

dc.description.abstract

Background

Socioeconomic disadvantage is associated with greater risks of hospital readmission and mortality among patients with heart failure (HF). However, it is less clear whether socioeconomic disadvantage has an immediate and lasting impact on the risk of admissions after the diagnosis of HF.

Methods

We used electronic health record data of patients aged 65 years and older with newly diagnosed HF between January 2015 and July 2018 in the Duke University Health System, with up to 8 years of follow-up. We assessed the association between neighborhood-level disadvantage, measured by the area deprivation index (lower, moderate, or higher) and hospital admissions within 30, 90, and 180 days after HF diagnosis using multivariable logistic regression models. We also assessed the risk of recurrent admissions over follow-up using Prentice, Williams, and Peterson models with total time.

Results

In our cohort of 5889 patients (mean [SD] age, 75 (6) years; 51% women; 67% non-Hispanic White), 71% of patients had at least one admission, and ≈50% of patients died over a median follow-up of 5.6 years. Unadjusted models showed that patients residing in higher disadvantaged neighborhoods had incrementally increasing risks for admissions within 30 days (odds ratio [OR], 1.17 [95% CI, 0.99-1.38]), 90 days (OR, 1.18 [95% CI, 1.03-1.35]), and 180 days (OR, 1.23 [95% CI, 1.08-1.40]) after diagnosis compared with patients in lower disadvantaged areas. These risks were no longer significant after adjusting for patients' clinical and nonclinical characteristics at 30 days (OR, 1.09 [95% CI, 0.90-1.31]), 90 days (OR, 1.07 [95% CI, 0.92-1.25]), and 180 days (OR, 1.10 [95% CI, 0.96-1.27]). However, patients living in higher disadvantaged areas had significantly greater risks of recurrent admissions over follow-up (hazard ratio, 1.11 [95% CI, 1.05-1.16]; P<0.001) compared with patients in lower disadvantaged areas.

Conclusions

Our findings suggest that patients with HF residing in areas of socioeconomic disadvantage are at higher risk for recurrent admissions and thus should be considered for targeted intervention strategies.
dc.identifier.issn

1941-7713

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1941-7705

dc.identifier.uri

https://hdl.handle.net/10161/34279

dc.language

eng

dc.publisher

Ovid Technologies (Wolters Kluwer Health)

dc.relation.ispartof

Circulation. Cardiovascular quality and outcomes

dc.relation.isversionof

10.1161/circoutcomes.124.011141

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

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Recurrence

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Prognosis

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Patient Admission

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Patient Readmission

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Risk Assessment

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Risk Factors

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Retrospective Studies

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Time Factors

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Socioeconomic Factors

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Aged

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Aged, 80 and over

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Vulnerable Populations

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North Carolina

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Female

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Male

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Heart Failure

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Health Status Disparities

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Electronic Health Records

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Social Determinants of Health

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Neighborhood Characteristics

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Socioeconomic Disparities in Health

dc.title

Association Between Socioeconomic Disadvantage and Risks of Early and Recurrent Admissions Among Patients With Newly Diagnosed Heart Failure.

dc.type

Journal article

duke.contributor.orcid

Xu, Hanzhang|0000-0001-9617-247X

duke.contributor.orcid

Hammill, Bradley G|0000-0002-0389-6434

duke.contributor.orcid

Lynch, Scott M|0000-0002-6795-1199

duke.contributor.orcid

West, Jessica S|0000-0001-8320-8998

duke.contributor.orcid

Green, Michael D|0000-0002-4982-8154

duke.contributor.orcid

Curtis, Lesley H|0000-0002-3286-9371

duke.contributor.orcid

Dupre, Matthew E|0000-0002-0976-4715

pubs.begin-page

e011141

pubs.issue

12

pubs.organisational-group

Duke

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School of Medicine

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School of Nursing

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Trinity College of Arts & Sciences

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Staff

pubs.organisational-group

Nursing

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Family Medicine and Community Health

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Medicine

pubs.organisational-group

Family Medicine and Community Health, Community Health

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Medicine, General Internal Medicine

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Sociology

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Duke Clinical Research Institute

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University Institutes and Centers

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Duke Global Health Institute

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Social Science Research Institute

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Center for the Study of Aging and Human Development

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Population Health Sciences

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Head and Neck Surgery & Communication Sciences

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Duke-Margolis Institute for Health Policy

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Communication Sciences

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Duke Population Research Institute

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Center for Population Health & Aging

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Duke Population Research Center

pubs.publication-status

Published

pubs.volume

17

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