Epidemiology and risk profile of heart failure
By A. Bui, T. Horwich, G. Fonarow. Nature Reviews Cardiology, 2010
2,002 citations recorded by the source corpus.
Heart failure (HF) is a major public health issue, with a prevalence of over 5.8 million in the USA, and over 23 million worldwide, and rising. The lifetime risk of developing HF is one in five. Although promising evidence shows that the age-adjusted incidence of HF may have plateaued, HF still carries substantial morbidity and mortality, with 5-year mortality that rival those of many cancers. HF represents a considerable burden to the health-care system, responsible for costs of more than $39 billion annually in the USA alone, and high rates of hospitalizations, readmissions, and outpatient visits. HF is not a single entity, but a clinical syndrome that may have different characteristics depending on age, sex, race or ethnicity, left ventricular ejection fraction (LVEF) status, and HF etiology. Furthermore, pathophysiological differences are observed among patients diagnosed with HF and reduced LVEF compared with HF and preserved LVEF, which are beginning to be better appreciated in epidemiological studies. A number of risk factors, such as ischemic heart disease, hypertension, smoking, obesity, and diabetes, among others, have been identified that both predict the incidence of HF as well as its severity. In this Review, we discuss key features of the epidemiology and risk profile of HF.
Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism
View Paper: https://www.semanticscholar.org/paper/eca6d28c0e73c6d462cfdff84f8614a0db86aa3e
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In Cardiology and Cardiovascular Medicine
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Citations in the corpus
- Heart failure: preventing disease and death worldwide (2014, background): “Being severely overweight has been shown to double the risk of heart failure and smoking to increase it by about 50%.(38)”
- Beneficial effects of long-term intravenous iron therapy with ferric carboxymaltose in patients with symptomatic heart failure and iron deficiency (2014, background): “With the constantly increasing prevalence and incidence, heart failure (HF) has now become an epidemic problem carrying relevant medical, social and economic consequences.(1) Despite recent developments in HF management, the morbidity and mortality in this clinical syndrome remain unacceptably high ”
- A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms (2018, background): “In this disease, usually the heart is unable to push the required amount of blood to other parts of the body to fulfill the normal functionalities of the body, and due to this, ultimately the heart failure occurs [1].”
- Multimorbidity in older adults. (2013, result): “They tend to be higher than the rates reported in studies that used clinical methods; for example, the prevalence of heart failure in this study was 18% in the older adults, versus 5%–15% in national data from the United States (23).”
- Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare (2020, background): “INTRODUCTION Heart disease (HD) is the critical health issue and numerous people have been suffered by this disease around the world [1].”
- Heart Failure With Preserved, Borderline, and Reduced Ejection Fraction: 5-Year Outcomes. (2017, neutral): “7 million individuals affected worldwide (1,2).”