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. 2012 Aug;18(8):645-53.
doi: 10.1016/j.cardfail.2012.05.007. Epub 2012 Jun 29.

The diversity of heart failure in a hospitalized population: the role of age

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The diversity of heart failure in a hospitalized population: the role of age

Gideon Y Stein et al. J Card Fail. 2012 Aug.

Abstract

Background: The prevalence of heart failure (HF) among hospitalized elderly patients is high and steadily growing. However, because most studies have focused mostly on young patients, little is known about the clinical characteristics, echocardiographic measures, prognostic factors, and outcome of hospitalized elderly HF patients.

Methods and results: We identified all HF patients aged ≥50 years who had undergone ≥1 echocardiography study and had been hospitalized during January 2000 to December 2009. A comparative analysis was performed between 3,897 "young" patients (aged 50-75 years) and 5,438 "elderly" patients (aged >75 years), followed for a mean 2.8 ± 2.6 years. Elderly HF patients were more often female (50% vs 35%; P < .0001) and had a higher prevalence of HF with preserved ejection fraction (64.8% vs 53%; P < .0001), more significant valvular disease (35.7% vs 32.5%; P < .0001), and lower rates of ischemic heart disease (65.5% vs 70.9%; P < .0001) and diabetes (34.4% vs 53.9%; P < .0001). Thirty-day and 1-year mortality rates were significantly higher among the elderly population (12.2% vs 6.9% [P < .0001] and 34.3% vs 21.2% [P < .0001], respectively). Prognostic markers differed significantly between age groups. Young-specific predictors were chronic renal failure, diastolic dysfunction, malignancy, and tricuspid regurgitation, whereas elderly-specific predictors were HF with reduced ejection fraction, chronic obstructive pulmonary disease, pulmonary hypertension, and mitral regurgitation.

Conclusions: Hospitalized elderly, compared with young, HF patients differed in prevalence of cardiac and noncardiac comorbid conditions, echocardiographic parameters, and predictors of short- and intermediate-term mortality. Identifying unique features in the elderly population may render age-tailored therapeutics.

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