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Comparative Study
. 2009 Oct 27;54(18):1695-702.
doi: 10.1016/j.jacc.2009.08.019.

Hospitalizations after heart failure diagnosis a community perspective

Affiliations
Comparative Study

Hospitalizations after heart failure diagnosis a community perspective

Shannon M Dunlay et al. J Am Coll Cardiol. .

Abstract

Objectives: The purpose of this study was to determine the lifetime burden and risk factors for hospitalization after heart failure (HF) diagnosis in the community.

Background: Hospitalizations in patients with HF represent a major public health problem; however, the cumulative burden of hospitalizations after HF diagnosis is unknown, and no consistent risk factors for hospitalization have been identified.

Methods: We validated a random sample of all incident HF cases in Olmsted County, Minnesota, from 1987 to 2006 and evaluated all hospitalizations after HF diagnosis through 2007. International Classification of Diseases-9th Revision codes were used to determine the primary reason for hospitalization. To account for repeated events, Andersen-Gill models were used to determine the predictors of hospitalization after HF diagnosis. Patients were censored at death or last follow-up.

Results: Among 1,077 HF patients (mean age 76.8 years, 582 [54.0%] female), 4,359 hospitalizations occurred over a mean follow-up of 4.7 years. Hospitalizations were common after HF diagnosis, with 895 (83.1%) patients hospitalized at least once, and 721 (66.9%), 577 (53.6%), and 459 (42.6%) hospitalized > or =2, > or =3, and > or =4 times, respectively. The reason for hospitalization was HF in 713 (16.5%) hospitalizations and other cardiovascular in 936 (21.6%), whereas over one-half (n = 2,679, 61.9%) were noncardiovascular. Male sex, diabetes mellitus, chronic obstructive pulmonary disease, anemia, and creatinine clearance <30 ml/min were independent predictors of hospitalization (p < 0.05 for each).

Conclusions: Multiple hospitalizations are common after HF diagnosis, though less than one-half are due to cardiovascular causes. Comorbid conditions are strongly associated with hospitalizations, and this information could be used to define effective interventions to prevent hospitalizations in HF patients.

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Figures

Figure 1
Figure 1. Number of Hospitalizations Per Person After Heart Failure Diagnosis
The number of hospitalizations per individual from heart failure diagnosis until death or last follow-up are shown.
Figure 2
Figure 2. Number of Hospitalizations In the Year Prior to Death
The number of heart failure and non-heart failure hospitalizations in the year before death among patients who died during follow-up (n=798) are shown.
Figure 3
Figure 3. Univariate Predictors of Hospitalization After Heart Failure Diagnosis
The unadjusted hazard ratios (95% confidence intervals) for risk of hospitalization using Andersen-Gill modeling are shown.
Figure 4
Figure 4. Multivariable Predictors of Hospitalization After Heart Failure Diagnosis
The adjusted hazard ratios (95% confidence intervals) for risk of hospitalization using Andersen-Gill modeling are shown. All variables shown were included in the model.

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References

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