National patterns of heart failure hospitalizations and mortality by sex and age
ABSTRACT Earlier work has demonstrated significant sex and age disparities in ischemic heart disease. However, it remains unclear if an age or sex gap exists for heart failure (HF) patients.
Using data from the 2007-2008 Healthcare Cost and Utilization Project, we constructed hierarchic regression models to examine sex differences and age-sex interactions in HF hospitalizations and in-hospital mortality. Among 430,665 HF discharges, 51% were women and 0.3%, 27%, and 73% were aged <25, 25-64, and >64 years respectively. There were significant sex differences among HF risk factors, with a higher prevalence of coronary disease among men. Men had higher hospitalization rates for HF and in-hospital mortality across virtually all ages. The relationship between age and HF mortality appeared U-shaped; mortality rates for ages <25, 25-64, and >64 years were 2.9%, 1.4%, and 3.8%, respectively. No age-sex interaction was found for in-hospital mortality for adults >25 years old.
Using a large nationally representative administrative dataset we found age and sex disparities in HF outcomes. In general, men fared worse than women regardless of age. Furthermore, we found a U-shaped relationship between age and in-hospital mortality during an HF hospitalization, such that young adults have similar mortality rates to older adults. Additional studies are warranted to elucidate the patient-specific and treatment characteristics that result in these patterns.
Article: Heart Failure in Very Old Adults[Show abstract] [Hide abstract]
ABSTRACT: Heart failure (HF) increases significantly in relation to advancing age, yet management for HF in very old adults remains ambiguous. With aging, not only do age-related, morphological and physiological cardiovascular changes predispose to HF, there is also increased prevalence of comorbid conditions that compound cardiac limitations (e.g., renal insufficiency and chronic obstructive lung disease) and others that tend to overwhelm limited cardiovascular reserves (e.g., infections and ischemia). Standard HF pharmacological and device therapies do little to moderate the wide spectrum of insidious age-related processes that are elemental to HF pathophysiology among older patients. Moreover, the utility of standard HF therapy is usually premised on its efficacy for life prolongation, whereas quality of life, increased physical and cognitive function, and preserved independence may be regarded as higher (or even highest) priority. In this review we study age-related susceptibility to HF, as well as the utility and limitations of standard HF strategies. Both HF with reduced ejection fraction and HF with preserved ejection fraction are considered.Current Heart Failure Reports 10/2013; 10(4). DOI:10.1007/s11897-013-0163-7
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ABSTRACT: AimThe purpose in the present study was to compare prognostic risk factors between older and younger chronic heart failure (CHF) patients.Methods We examined 598 consecutive CHF patients (476 men and 122 women, mean age 61.4 ± 14.3 years) who underwent cardiopulmonary exercise testing, echocardiography and blood examination. We divided the 598 patients into two groups: the elderly group (age ≥75 years, n = 123) and the young group (age <75, n = 475). We compared blood testing data, exercise capacity, cardiac function and prognosis between the two groups. Patients were followed up (median 782 days) to register cardiac deaths or rehospitalization as a result of worsening heart failure.ResultsPatients in the elderly group were associated with higher frequencies of atrial fibrillation and diuretic use than those in the young group. Patients in the elderly group had lower hemoglobin concentration, more impaired renal function, higher plasma B-type natriuretic peptide (BNP) levels, smaller left ventricular volume, longer deceleration time of early mitral wave and lower exercise capacity than those in the young group. There were 199 cardiac events during follow-up periods. As expected, Kaplan–Meier analysis showed that patients in the elderly group had higher cardiac event rates than those in the young group. In the young group, multivariable Cox hazard analysis showed that hemoglobin concentration, log BNP and peak VO2 were independent predictors related to cardiac events. In contrast, in the elderly group, estimated glomerular filtration rate, atrial fibrillation and peak VO2 were independent factors to predict adverse clinical outcomes.Conclusions Prognostic factors were different between the elderly and young patients in CHF. Geriatr Gerontol Int 2014; ●●: ●●–●●.Geriatrics & Gerontology International 05/2014; 15(4). DOI:10.1111/ggi.12293 · 1.58 Impact Factor
Article: Mortality in heart failure patients[Show abstract] [Hide abstract]
ABSTRACT: ABSTRACT Heart failure (HF) is a clinical syndrome, which is becoming a major public health problem in recent decades, due to its increasing prevalence, especially in the developed countries, mostly due to prolonged lifespan of the general population as well as the increased of HF patients. The HF treatment, particularly, new pharmacological and non-pharmacological agents, has markedly improved clinical outcomes of patients with HF including increased life expectancy and improved quality of life. However, despite the facts that mortality in HF patients has decreased, it still remains unacceptably high. This review of summarizes the evidence to date about the mortality of HF patients. Despite the impressive achievements in the pharmacological and non-pharmacological treatment of HF patients which has undeniably improved the survival of these patients, the mortality still remains high particularly among elderly, male and African American patients. Patients with HF and reduced ejection fraction have higher mortality rates, most commonly due to cardiovascular causes, compared with patients with HF and preserved ejection fraction. Key words: heart failure, mortality, race, elderly, genderAnadolu kardiyoloji dergisi: AKD = the Anatolian journal of cardiology 08/2014; DOI:10.5152/akd.2014.5731 · 0.76 Impact Factor