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J Am Coll Cardiol, 2009; 54:1703-1705, doi:10.1016/j.jacc.2009.08.015
© 2009 by the American College of Cardiology Foundation
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QUARTERLY FOCUS ISSUE: HEART FAILURE: EDITORIAL COMMENT

Hospitalizations in Patients With Heart Failure: Who and Why*

Soko Setoguchi, MD, DrPH{dagger} and Lynne Warner Stevenson, MD{ddagger},*

{dagger} Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts
{ddagger} Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts

* Reprint requests and correspondence: Dr. Lynne Warner Stevenson, Brigham and Women's Hospital Cardiovascular Division, 75 Francis Street, Boston, Massachusetts 02115 (Email: LStevenson{at}partners.org).

Key Words: heart failure • epidemiology • hospitalization • community • risk factors


In this issue of the Journal, Dunlay et al. (1) assessed the frequency, reasons, and risk factors for hospitalizations in patients with heart failure (HF). The work is unique because they assessed the lifetime burden of hospitalizations in a population-based cohort of incident HF identified by diagnosis, not from time of HF hospitalization, which has previously dominated our research and understanding. An additional strength is the high rate of characterization of ejection fraction. Placing this article in the context of previous studies highlights the crucial importance of 2 distinctions: 1) many hospitalizations in patients with HF are not "HF hospitalizations;" and 2) the number of hospitalizations is higher than the number of patients hospitalized, due to the "frequent flyer" cohort.


    Frequency and Reasons for Hospitalizations
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 Predicting Hospitalizations
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Population studies have demonstrated that hospitalizations in HF patients are frequent, and many are due to non-HF reasons. The current study found that 83% (895) of patients diagnosed with heart failure had at least 1 hospitalization, resulting in a total of 4,359 hospitalizations over a mean follow-up of 4.7 years. However, only 17% (713) of these hospitalizations were attributed to HF, and these clustered among 32% of the patients (1). This provides a longer view than a previous 1-year study of Medicare patients identified by HF diagnosis, of whom 59% had hospitalizations in 1 year, with 24% due to HF (2).

Most studies instead begin tracking after a HF hospitalization (≥1 HF hospitalizations) and show a high rate of early rehospitalizations (3–5) (Table 1), of which about two-thirds are attributed to cardiovascular (CV) causes (3). When we focus on those with a first hospitalization for HF, 1-year rehospitalization was still common: 69% for any reason (4), 44% to 50% for CV reasons (4,5), and 14% to 30% for HF (4–6). In patients with ≥2 HF hospitalizations, further analyses from the previous report of hospitalizations in British Columbia demonstrate that the overall rehospitalization rate was similar (60% in 1 year) (4). Almost all rehospitalizations were for cardiovascular reasons (96%), and many were due to HF (60%). Considering the difference in the criteria of patient identification between the current and previous studies, these data confirm that patients identified by hospitalization for HF have a higher risk of repeated hospitalizations and that multiple HF hospitalizations are clustered within these patients.


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Table 1 Rate and Cause of Hospitalizations in Relation to 1-Year Mortality in Patients With HF
 

    Predicting Hospitalizations
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The current study showed that male sex, diabetes, chronic pulmonary disease, anemia, and renal dysfunction predict hospitalization for any reason (1). Previous studies found that advanced age (3,7,8), noncardiac comorbidities such as chronic kidney disease (3,7,8), chronic pulmonary disease (3,7), diabetes (7), depression (7), and prior hospitalizations (3,8) predict all-cause hospitalizations. We found that the association between repeated hospitalizations and mortality was attenuated by advanced age and chronic kidney disease, indirectly suggesting that these factors predict repeated HF hospitalizations (4). The risk of hospitalization was similar in patients with and without systolic dysfunction (1,6).


    Mortality After Hospitalizations
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History of an HF hospitalization, the number of HF hospitalizations, and shorter time to HF hospitalization are all associated with high mortality in trial patients (9,10). In community patients with HF, the mortality significantly increased after each HF hospitalization (4), which is similar in HF with and without systolic dysfunction (5). The data on non-HF hospitalizations are conflicting: 1 large population-based study found that mortality is increased by repeated hospitalizations if due to HF or myocardial infarction, but not other CV diagnoses (4), whereas another experience found a similar effect on mortality after rehospitalization for any CV diagnoses (5). Hospitalizations in patients with HF may serve as markers for disease progression, may reflect limited patient and health care system capacity, or may themselves increase mortality due to the impact of rapid and aggressive therapies to reverse decompensation (11,12).


    Reducing the Burden of Hospitalizations
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Patients with HF account for about one-tenth of the Medicare population but over one-third of all Medicare spending, presenting an unsustainable burden as the population ages. The Get With The Guidelines program from the American Heart Association focuses on translating HF therapies from major trials into routine hospital practice, and serves as 1 example of a range of interventions to improve outcomes through the H2H (hospital to home) transition advocated by the American College of Cardiology. However, the goal of decreasing HF admissions is hindered by uncoupled systems for in-hospital and outpatient management, where care is fragmented between multiple providers.

The current study underlines the need to look through the haze of the hospital burden at the "who" and "why" of hospitalizations and recognize 2 groups of patients. Patients who carry a diagnosis of HF without previous HF hospitalization are more likely to be hospitalized for conditions that are not HF. Surely, interventions should differ in the patient group defined by recent HF hospitalization for whom the likelihood of HF as the next admission diagnosis rises after each readmission (Table 1). It is likely that hospitals will move to shoulder some of the clinical and financial burden of transition care during the month after discharge for these patients at highest risk of HF readmissions.

This study reminds us that care should be tailored to fit goals and risks for individual patients, not for diagnoses or for the specialists who treat them. The comorbidities that drive many hospitalizations in general communities are exclusions for most trials from which our bases of evidence derive. It is not entirely certain that the promised benefits of hospitalization reduction are realized when recommended therapies are prescribed in the real world for patients with HF as one of multiple diagnoses.

As we have advanced successfully from the anecdote to the bases of evidence, some vital information has perhaps been lost in the transition from individuals to averages. The cluster of patients with accelerating hospitalizations merits specific re-evaluation of recommended therapies and timing of discussion regarding patient preferences near the end of the journey. Care for the whole patient remains more than the sum of recommended therapies for separate diagnoses. "Who" and "why" will always be important questions.


    Footnotes
 
* Editorials published in the Journal of the American College of Cardiology reflect the views of the authors and do not necessarily represent the views of JACC or the American College of Cardiology. Back


    References
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 Frequency and Reasons for...
 Predicting Hospitalizations
 Mortality After Hospitalizations
 Reducing the Burden of...
 References
 
1. Dunlay SM, Redfield MM, Weston SA, et al. Hospitalizations after heart failure diagnosis: a community perspective J Am Coll Cardiol 2009;54:1695-1702.[Abstract/Free Full Text]

2. Page RL, Strongin KB, Mills RM, Hogan C, Lindenfeld J. The magnitude of health care resource utilization by Medicare beneficiaries with heart failure(abstr) Circulation 2007;116:II600.

3. Curtis LH, Greiner MA, Hammill BG, et al. Early and long-term outcomes of heart failure in elderly persons, 2001–2005 Arch Intern Med 2008;168:2481-2488.[Abstract/Free Full Text]

4. Setoguchi S, Stevenson LW, Schneeweiss S. Repeated hospitalizations predict mortality in the community population with heart failure Am Heart J 2007;154:260-266.[CrossRef][Web of Science][Medline]

5. Lee DS, Austin PC, Stukel TA, et al. "Dose-dependent" impact of recurrent cardiac events on mortality in patients with heart failure Am J Med 2009;122:162.e1-162.e9.[CrossRef]

6. Bhatia RS, Tu JV, Lee DS, et al. Outcome of heart failure with preserved ejection fraction in a population-based study N Engl J Med 2006;355:260-269.[CrossRef][Medline]

7. Braunstein JB, Anderson GF, Gerstenblith G, et al. Noncardiac comorbidity increases preventable hospitalizations and mortality among medicare beneficiaries with chronic heart failure J Am Coll Cardiol 2003;42:1226-1233.[Abstract/Free Full Text]

8. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program N Engl J Med 2009;360:1418-1428.[CrossRef][Medline]

9. Pocock SJ, Wang D, Pfeffer MA, et al. Predictors of mortality and morbidity in patients with chronic heart failure Eur Heart J 2006;27:65-75.[Abstract/Free Full Text]

10. Solomon SD, Dobson J, Pocock S, et al. Influence of nonfatal hospitalization for heart failure on subsequent mortality in patients with chronic heart failure Circulation 2007;116:1482-1487.[Abstract/Free Full Text]

11. Gheorghiade M, Zannad F, Sopko G, et al. Acute heart failure syndromes: current state and framework for future research Circulation 2005;112:3958-3968.[Free Full Text]

12. Silver MA, Horton DP, Ghali JK, Elkayam U. Effect of nesiritide versus dobutamine on short-term outcomes in the treatment of patients with acutely decompensated heart failure J Am Coll Cardiol 2002;39:798-803.[Abstract/Free Full Text]

13. Fonarow GC, Abraham WT, Albert NM, et al. Age- and gender-related differences in quality of care and outcomes of patients hospitalized with heart failure (from OPTIMIZE-HF) Am J Cardiol 2009;104:107-115.[CrossRef][Web of Science][Medline]

14. Kosiborod M, Lichtman JH, Heidenreich PA, et al. National trends in outcomes among elderly patients with heart failure Am J Med 2006;119:616.e1-616.e7.[CrossRef][Medline]

15. Ahmed A, Allman RM, Fonarow GC, et al. Incident heart failure hospitalization and subsequent mortality in chronic heart failure: a propensity-matched study J Card Fail 2008;14:211-218.[CrossRef][Web of Science][Medline]

16. MacIntyre K, Capewell S, Stewart S, et al. Evidence of improving prognosis in heart failure: trends in case fatality in 66 547 patients hospitalized between 1986 and 1995 Circulation 2000;102:1126-1131.[Abstract/Free Full Text]

17. Owan TE, Hodge DO, Herges RM, Jacobsen SJ, Roger VL, Redfield MM. Trends in prevalence and outcome of heart failure with preserved ejection fraction N Engl J Med 2006;355:251-259.[CrossRef][Medline]

18. Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model JAMA 2003;290:2581-2587.[Abstract/Free Full Text]


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