Cited by 135Heart Failure Treatment and ManagementHospital Admissions and OutcomesCardiac Health and Mental Health

Associations between short or long length of stay and 30-day readmission and mortality in hospitalized patients with heart failure

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Sud, Maneesh, Yu, Bing, Wijeysundera, Harindra C., Austin, Peter C., Ko, Dennis T., Braga, Juarez, Cram, Peter, Spertus, John A. +2 more·2017·JACC Heart Failure

Abstract

OBJECTIVES: This study sought to examine the associations between heart failure (HF)-related hospital length of stay and 30-day readmissions and HF hospital length of stay and mortality rates. BACKGROUND: Although reducing HF readmission and mortality rates are health care priorities, how HF-related hospital length of stay affects these outcomes is not fully known. METHODS: A population-level, multicenter cohort study of 58,230 patients with HF (age >65 years) was conducted in Ontario, Canada between April 1, 2003 and March 31, 2012. RESULTS: When length of stay was modeled as continuous variable, its association with the rate of cardiovascular readmission was nonlinear (p < 0.001 for nonlinearity) and U-shaped. When analyzed as a categorical variable, there was a higher rate of cardiovascular readmission for short (1 to 2 days; adjusted hazard ratio [HR]: 1.12; 95% confidence interval [CI]: 1.04 to 1.21; p = 0.003) and long (9 to 14 days; HR: 1.11; 95% CI: 1.04 to 1.19; p = 0.002) lengths of stay as compared with 5 to 6 days (reference). Hospital readmissions for HF demonstrated a similar nonlinear (p = 0.005 for nonlinearity) U-shaped relationship with increased rates for short (HR: 1.15; 95% CI: 1.04 to 1.27; p = 0.006) and long (HR: 1.14; 95% CI: 1.04 to 1.25; p = 0.004) lengths of stay. Noncardiovascular readmissions demonstrated increased rates with long (HR: 1.17; 95% CI: 1.07 to 1.29; p < 0.001) and decreased rates with short (HR: 0.87; 95% CI: 0.79 to 0.96; p = 0.006) lengths of stay (p = 0.53 for nonlinearity). The 30-day mortality risk was highest after a long length of stay (HR: 1.28; 95% CI: 1.14 to 1.43; p < 0.001). CONCLUSIONS: A short length of stay after hospitalization for HF is associated with increased rates of cardiovascular and HF readmissions but lower rates of noncardiovascular readmissions. A long length of stay is associated with increased rates of all types of readmission and mortality.

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  1. Fay MP, Feuer EJ. Confidence intervals for directly standardized rates: a method based on the gamma distribution. Stat Med 1997;16:791-801.

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Authors
Sud, M., Yu, B., Wijeysundera, H. C., Austin, P. C., Ko, D. T., Braga, J., Cram, P., Spertus, J. A., Domanski, M., & Lee, D. S.
Affiliations
  • University Health Network (CA)
  • Sunnybrook Health Science Centre (CA)
  • University of Toronto (CA)
  • University of Missouri–Kansas City (US)
Corresponding author
Lee, Douglas S.
Venue
JACC Heart Failure
Publisher
Elsevier BV
Published
2017-08
Volume
5
Issue
8
Pages
578-588
ISSN
2213-1779 (ISSN-L)
OpenAlex
W2612176626
Cited by
135
References
37
Citations by year
2026: 13 · 2025: 14 · 2024: 9 · 2023: 10 · 2022: 13 · 2021: 19 · 2020: 25 · 2019: 18 · 2018: 8 · 2017: 6
FWCI
12.07
Type
journal article
Language
en
Open access
Locations
  • JACC Heart Failure (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
Canadian Institutes of Health Research
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
  • Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
Keywords
heart failure, length of hospital stay, 30-day readmission, 30-day mortality, U-shaped relationship, cardiovascular readmission, older adults, hospitalized patients, hospital discharge timing, quality of care, health care costs, Ontario health system, mortality risk
MeSH terms
Multiple Chronic Conditions, Aged, Aged, 80 and over, Coronary Care Units, Female, Heart Failure, Humans, Length of Stay, Male, Ontario, Patient Readmission, Retrospective Studies, Hospital Mortality

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