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Cited by 52Heart Failure Treatment and ManagementHealth disparities and outcomesCardiac Health and Mental Health

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Marital status and living condition as predictors of mortality and readmissions among African Americans with heart failure

Lu, Marvin Louis Roy, Davila, Carlos D., Shah, Mahek, Wheeler, David S., Ziccardi, Mary Rodriguez, Banerji, Sourin, Figueredo, Vincent M.·2016·International Journal of Cardiology
DOI 10.1016/j.ijcard.2016.07.185
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Abstract

Unlabelled Socioeconomic factors, including social support, may partially explain why African Americans (AA) have the highest prevalence of heart failure and with worse outcomes compared to other races. AA are more likely to be hospitalized and readmitted for heart failure and have higher mortality. The purpose of this study is to determine whether the social factors of marital status and living condition affect readmission rates and all-cause mortality following hospitalization for acute decompensated heart failure (ADHF) in AA patients. Methods Medical records from 611 AA admitted to Einstein Medical Center Philadelphia from January, 2011 to February, 2013 for ADHF were reviewed. Patient demographics including living condition (nursing home residents, living with family or living alone) and marital status (married or non-married -including single, divorced, separated and widowed) were correlated with all-cause mortality and readmission rates. Results In this cohort (53% male, mean age 65±15, mean ejection fraction 32±16%) 25% (n=152) of subjects were unmarried. Unmarried patients had significantly higher 30-day readmission rates (16% vs. 6% p=0.0002) and higher 1-year mortality (17% vs. 11% p=0.047) compared with married patients. Fifty percent (n=303) of subjects were living with family members, while 40% (n=242) and 11% (n=66) were living alone or in a nursing facility, respectively. Patients living with family members had significantly lower 30-day readmission rates when…

Overview

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Crossref · 10.1016/j.ijcard.2016.07.185

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Metadata

Authors
Lu, M. L. R., Davila, C. D., Shah, M., Wheeler, D. S., Ziccardi, M. R., Banerji, S., & Figueredo, V. M.
Affiliations
  • Jefferson Einstein Philadelphia Hospital (US)
  • Lehigh Valley Health Network (US)
  • Thomas Jefferson University (US)
Corresponding author
Figueredo, Vincent M.
ORCID
Venue
International Journal of Cardiology
Publisher
Elsevier BV
Published
2016-11
Volume
222
Pages
313-318
ISSN
0167-5273 (ISSN-L)
DOI
10.1016/j.ijcard.2016.07.185
OpenAlex
W2477489550
Cited by
52
References
25
Citations by year
2026: 1 · 2025: 5 · 2024: 3 · 2023: 5 · 2022: 6 · 2021: 5 · 2020: 7 · 2019: 7 · 2018: 8 · 2017: 5
FWCI
5.50
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
Keywords
heart failure, African Americans, marital status, living arrangements, social support, all-cause mortality, heart failure readmission, acute decompensated heart failure, nursing home residents, living alone, socioeconomic factors, hospitalization outcomes, social determinants of health, racial disparities in health outcomes, social isolation, social networks, family caregivers
MeSH terms
Aged, Aged, 80 and over, Black or African American, Female, Heart Failure, Humans, Male, Middle Aged, Mortality, Patient Readmission, Predictive Value of Tests, Skilled Nursing Facilities, Social Conditions, Socioeconomic Factors, Marital Status

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.