Literature DB >> 21807326

Predictors of hospital length of stay in heart failure: findings from Get With the Guidelines.

David J Whellan1, Xin Zhao, Adrian F Hernandez, Li Liang, Eric D Peterson, Deepak L Bhatt, Paul A Heidenreich, Lee H Schwamm, Gregg C Fonarow.   

Abstract

BACKGROUND: This study was undertaken to identify predictors of hospital length of stay (LOS) for heart failure (HF) patients using clinical variables available at the time of admission and hospital characteristics. METHODS AND
RESULTS: A cohort of 70,094 HF patients discharged to home from 246 hospitals participating in the Get With the Guidelines-Heart Failure was analyzed for admission predictors for LOS. The analysis incorporated patient characteristics (PC) first, then added hospital characteristics (HC) followed by standard laboratory evaluations (SL), including troponin and brain natriuretic peptide (BNP). There were 31,995 patients (45.6%) with LOS < 4 days, 26,750 (38.2%) with LOS 4 to 7 days, and 11,349 (16.2%) with LOS > 7 days. Patients with longer LOS had more comorbidities and a higher severity of disease on admission. Overall models explained a modest amount of LOS variation, with an r(2) of 4.8%, with PC responsible for 1.3% of variation and together with SL explained 2.2% of variation. HC did not change the variation.
CONCLUSIONS: Based on admission vital signs and BNP levels, patients with longer LOS have more comorbidities and a higher disease severity. The ability to risk stratify for LOS based on patient admission and hospital characteristics is limited.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21807326     DOI: 10.1016/j.cardfail.2011.04.005

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  21 in total

Review 1.  Care-seeking decisions for worsening symptoms in heart failure: a qualitative metasynthesis.

Authors:  S E Ivynian; M DiGiacomo; P J Newton
Journal:  Heart Fail Rev       Date:  2015-11       Impact factor: 4.214

2.  Length of hospital stay and its impact on subsequent early readmission in patients with acute heart failure: a report from the WET-HF Registry.

Authors:  Hidenori Moriyama; Takashi Kohno; Shun Kohsaka; Yasuyuki Shiraishi; Ryoma Fukuoka; Yuji Nagatomo; Ayumi Goda; Atsushi Mizuno; Keiichi Fukuda; Tsutomu Yoshikawa
Journal:  Heart Vessels       Date:  2019-05-27       Impact factor: 2.037

3.  Cancer Antigen 125 is Associated with Length of Stay in Patients with Acute Heart Failure.

Authors:  Hakki Kaya; Recep Kurt; Osman Beton; Ali Zorlu; Hasan Yucel; Hakan Gunes; Didem Oguz; Mehmet Birhan Yilmaz
Journal:  Tex Heart Inst J       Date:  2017-02-01

Review 4.  Effect of Telehealth Interventions on Hospitalization Indicators: A Systematic Review.

Authors:  Leila R Kalankesh; Faramarz Pourasghar; Lorraine Nicholson; Shamim Ahmadi; Mohsen Hosseini
Journal:  Perspect Health Inf Manag       Date:  2016-10-01

Review 5.  Predictors of delay in heart failure patients and consequences for outcomes.

Authors:  Kristen A Sethares; Elizabeth Chin; Corrine Y Jurgens
Journal:  Curr Heart Fail Rep       Date:  2015-02

6.  Weight change in heart failure inpatients not associated with 30-day readmission.

Authors:  Michael G Nanna; Alexander E Sullivan; Vlada Bazylevska; Risa L Wong; Terrence E Murphy; Lavanya Bellumkonda; Robert L McNamara
Journal:  Future Cardiol       Date:  2020-04-14

7.  Comparison of Length of Stay, 30-Day Mortality, and 30-Day Readmission Rates in Medicare Patients With Heart Failure and With Reduced Versus Preserved Ejection Fraction.

Authors:  Matthew Shane Loop; Melissa K Van Dyke; Ligong Chen; Todd M Brown; Raegan W Durant; Monika M Safford; Emily B Levitan
Journal:  Am J Cardiol       Date:  2016-04-21       Impact factor: 2.778

8.  Heart failure readmissions.

Authors:  Khanjan B Shah; Shiraz Rahim; Rebecca S Boxer
Journal:  Curr Treat Options Cardiovasc Med       Date:  2013-08

9.  The inpatient experience and predictors of length of stay for patients hospitalized with systolic heart failure: comparison by commercial, Medicaid, and Medicare payer type.

Authors:  Larry A Allen; Karen E Smoyer Tomic; Kathleen L Wilson; David M Smith; Irene Agodoa
Journal:  J Med Econ       Date:  2012-09-13       Impact factor: 2.448

10.  Comparing inpatient costs of heart failure admissions for patients with reduced and preserved ejection fraction with or without type 2 diabetes.

Authors:  Natalia Olchanski; Amanda R Vest; Joshua T Cohen; David DeNofrio
Journal:  Cardiovasc Endocrinol Metab       Date:  2020-02-21
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