Literature DB >> 28160871

Burden and Timing of Hospitalizations in Heart Failure: A Community Study.

Alanna M Chamberlain1, Shannon M Dunlay2, Yariv Gerber3, Sheila M Manemann4, Ruoxiang Jiang4, Susan A Weston4, Véronique L Roger2.   

Abstract

OBJECTIVE: To study the temporal distribution and causes of hospitalizations after heart failure (HF) diagnosis. PATIENTS AND METHODS: Hospitalizations were studied in 1972 Olmsted County, Minnesota, residents with incident HF from January 1, 2000, to December 31, 2011. All hospitalizations were examined for the 2 years following incident HF, and each was categorized as due to HF, other cardiovascular causes, or noncardiovascular causes. Negative binomial regression examined associations between time periods (0-30, 31-182, 183-365, and 366-730 days after diagnosis) and hospitalizations.
RESULTS: During the 2 years after diagnosis, 3495 hospitalizations were observed among 1336 of the 1972 patients with HF. The age- and sex-adjusted rates of hospitalizations were highest in the first 30 days after diagnosis (3.33 per person-year vs 1.33, 1.07, and 1.00 per person-year for 31-182 days, 183-365 days, and 366-730 days, respectively). The rates of hospitalizations were similar across sex, presentation of HF (inpatient or outpatient), and type of HF (preserved or reduced ejection fraction). Patients diagnosed as inpatients who had long hospital stays (>5 days) experienced more than a 30% increased risk of rehospitalization within 30 days of dismissal. Importantly, most hospitalizations (2222 of 3495 [63.6%]) were due to noncardiovascular causes, and a minority (440 of 3495 [12.6%]) were due to HF. The rates of noncardiovascular hospitalizations were higher than those for HF or other cardiovascular hospitalizations across all follow-up for all time periods after HF.
CONCLUSION: Patients with HF experience high rates of hospitalizations, particularly within the first 30 days, and mostly for noncardiovascular causes. To reduce hospitalizations in patients with HF, an integrated approach focusing on comorbidities is required.
Copyright © 2016 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28160871      PMCID: PMC5341602          DOI: 10.1016/j.mayocp.2016.11.009

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  28 in total

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4.  Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

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Review 5.  Diagnostic criteria for diastolic heart failure.

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6.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

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8.  Trends in hospitalizations and outcomes for acute cardiovascular disease and stroke, 1999-2011.

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9.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
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  17 in total

1.  Risk Factors for Heart Failure in the Community: Differences by Age and Ejection Fraction.

Authors:  Alanna M Chamberlain; Cynthia M Boyd; Sheila M Manemann; Shannon M Dunlay; Yariv Gerber; Jill M Killian; Susan A Weston; Véronique L Roger
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3.  Increased hospitalization rates following heart failure diagnosis in rheumatoid arthritis as compared to the general population.

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4.  The Dietary Approaches to Stop Hypertension (DASH) Diet Pattern and Incident Heart Failure.

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5.  Real-World Treatment Patterns, Healthcare Resource Utilization, and Costs for Patients with Newly Diagnosed Systolic versus Diastolic Heart Failure.

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7.  Spending and quality after three years of Medicare's bundled payments for medical conditions: quasi-experimental difference-in-differences study.

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Review 9.  Heart failure with preserved ejection fraction: insights from recent clinical researches.

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10.  Potentially harmful drug prescription in elderly patients with heart failure with reduced ejection fraction.

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