In‐hospital outcomes in unhoused patients with cardiogenic shock in the United States: Insights from The National Inpatient Sample 2011−2019

Background Unhoused patients face significant barriers to receiving health care in both the inpatient and outpatient settings. For unhoused patients with heart failure who are in extremis, there is a lack of data regarding in‐hospital outcomes and resource utilization in the setting of cardiogenic s...

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Bibliographic Details
Published in:Clinical cardiology (Mahwah, N.J.) N.J.), 2024-02, Vol.47 (2), p.e24235-n/a
Main Authors: Ergui, Ian, Salama, Joshua, Hooda, Urvashi, Ebner, Bertrand, Dangl, Michael, Vincent, Louis, Sancassani, Rhea, Colombo, Rosario
Format: Article
Language:English
Subjects:
Adult
Anemia
Angioplasty
Asthma
cardiogenic shock
Cardiovascular disease
Chronic illnesses
Chronic obstructive pulmonary disease
Comorbidity
Coronary vessels
Diabetes
Health care
Heart attacks
Heart failure
Heart Failure - epidemiology
Hemodialysis
homelessness
Hospital Mortality
Hospitalization
Hospitals
housing insecurity
Humans
Hypertension
Inpatients
Intubation
Kidney diseases
Life expectancy
mechanical circulatory support
Mortality
Patients
Pulmonary arteries
Retrospective Studies
Shock, Cardiogenic - diagnosis
Shock, Cardiogenic - epidemiology
Shock, Cardiogenic - therapy
Sleep apnea
Stroke
unhoused
United States - epidemiology
Variables
Vein & artery diseases
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Summary:Background Unhoused patients face significant barriers to receiving health care in both the inpatient and outpatient settings. For unhoused patients with heart failure who are in extremis, there is a lack of data regarding in‐hospital outcomes and resource utilization in the setting of cardiogenic shock (CS). Hypothesis Unhoused patients hospitalized with CS have increased mortality and decreased use of invasive therapies as compared to housed patients. Methods The National Inpatient Sample (NIS) database was queried from 2011 to 2019 for relevant ICD‐9 and ICD‐10 codes to identify unhoused patients with an admission diagnosis of CS. Baseline characteristics and in‐hospital outcomes between patients were compared. Binary logistic regression was used to adjust outcomes for prespecified and significantly different baseline characteristics (p 
ISSN:0160-9289
1932-8737
DOI:10.1002/clc.24235