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Acute heart failure (HF) is a major public health problem with substantial associated economic costs. Because most patients who present to hospitals are admitted irrespective of their level of risk, novel approaches to manage acute HF are needed, such as the use of same-day access clinics for outpatient diuresis and observation units from the emergency department. Current published data lacks a comprehensive overview of the present state of acute HF management in various clinical settings. This review summarizes the strengths and limitations of acute HF care in the outpatient and emergency department settings. Finally, a variety of innovative technologies that have the potential to improve acute HF management are discussed., (Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Higher rates of obesity and heart failure have been observed in African Americans, but associations with mortality are not well-described. We examined intermediate and long-term clinical implications of obesity in African Americans and associations between obesity and all-cause mortality, heart failure, and heart failure hospitalization., Methods and Results: We conducted a retrospective analysis of a community sample of 5292 African Americans participating in the Jackson Heart Study between September 2000 and January 2013. The main outcomes were associations between body mass index (BMI) and all-cause mortality at 9 years and heart failure hospitalization at 7 years using Cox proportional hazards models and interval development of heart failure (median 8 years' follow-up) using a modified Poisson model. At baseline, 1406 (27%) participants were obese and 1416 (27%) were morbidly obese. With increasing BMI, the cumulative incidence of mortality decreased (P= .007), whereas heart failure increased (P < .001). Heart failure hospitalization was more common among morbidly obese participants (9.0%; 95% confidence interval [CI] 7.6-11.7) than among normal-weight patients (6.3%; 95% CI 4.7-8.4). After risk adjustment, BMI was not associated with mortality. Each 1-point increase in BMI was associated with a 5% increase in the risk of heart failure (hazard ratio 1.05; 95% CI 1.03-1.06; P < .001) and the risk of heart failure hospitalization for BMI greater than 32 kg/m(2) (hazard ratio 1.05; 95% CI 1.03-1.07; P < .001)., Conclusions: Obesity and morbid obesity were common in a community sample of African Americans, and both were associated with increased heart failure and heart failure hospitalization., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Objectives: This study assessed the comparative frequency of precipitating clinical factors leading to hospitalization among heart failure (HF) patients with reduced, borderline, and preserved ejection fraction (EF) BACKGROUND: There are few data assessing the comparative frequency of clinical factors leading to HF among hospitalized among patients with reduced, borderline, and preserved EF., Methods: We analyzed the factors potentially contributing to HF hospitalization among 99,825 HF admissions from 305 hospitals in the Get With The Guidelines-HF (GWTG-HF) database between January 2005 and September 2013 and assessed their association with length of stay and in-hospital mortality., Results: Mean patient age was 72.6 ± 14.2 years, 49% were female, and mean EF was 39.3 ± 17.2%. Common factors included pneumonia/respiratory process (28.2%), arrhythmia (21.7%), medication noncompliance (15.8%), worsening renal failure (14.7%), and uncontrolled hypertension (14.5%). In patients with borderline EF (EF 40% to 49%), pneumonia was associated with longer hospital stay, whereas dietary and medication noncompliance were associated with reduced length of stay. In patients with preserved EF (EF ≥50% or qualitative assessment of normal or mild dysfunction), pneumonia, weight gain, and worsening renal function were independently associated with longer lengths of stay. Worsening renal function and pneumonia were independently associated with higher in-hospital mortality in all HF groups, and acute pulmonary edema was associated with higher mortality in reduced EF. Dietary noncompliance (14.7%) was associated with reduced mortality for all groups but reached statistical significance in the subgroups of reduced (odds ratio [OR]: 0.65; 95% confidence interval [CI]: 0.46 to 0.91) and preserved systolic function (OR: 0.52; 95% CI: 0.33 to 0.83). Patients presenting with ischemia had a higher mortality rate (OR: 1.31; 95% CI: 1.02 to 1.69; and 1.72; 95% CI: 1.27 to 2.33, respectively, in the 2 groups)., Conclusions: Potential precipitating factors among patients hospitalized with HF vary by EF group and are independently associated with clinical outcomes., (Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

The management of acute heart failure is shifting toward treatment approaches outside of a traditional hospital setting. Many heart failure providers are now treating patients in less familiar health care settings, such as acute care clinics, emergency departments, and skilled nursing facilities. In this review we describe the current pressures driving change in the delivery of acute heart failure and summarize the evidence regarding treatments for acute heart failure outside of the inpatient setting. We also provide considerations for the design of future treatment strategies to be implemented in alternative care settings., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Background: An individual's socioeconomic status (SES) is associated with health outcomes and mortality, yet it is unknown whether accounting for SES can improve risk-adjustment models for 30-day outcomes among Centers for Medicare & Medicaid Services beneficiaries hospitalized with heart failure., Methods and Results: We linked clinical data on hospitalized patients with heart failure in the Get With The Guidelines-Heart Failure database (January 2005 to December 2011) with Centers for Medicare & Medicaid Services claims and county-level SES data from the 2012 Area Health Resources Files. We compared the discriminatory capabilities of multivariable models that adjusted for SES, patient, and hospital characteristics to determine whether county-level SES data improved prediction or changed hospital rankings for 30-day all-cause mortality and rehospitalization. After adjusting for patient and hospital characteristics, median household income (per $5000 increase) was inversely associated with odds of 30-day mortality (odds ratio, 0.97; 95% confidence interval, 0.95-1.00; P=0.032) and the percentage of people with at least a high school diploma (per 5 U increase) was associated with lower odds of 30-day rehospitalization (odds ratio, 0.95; 95% confidence interval, 0.91-0.99). After adjustment for county-level SES data, relative to whites, Hispanic ethnicity (odds ratio, 0.70; 95% confidence interval, 0.58-0.83) and black race (odds ratio, 0.57; 95% confidence interval, 0.50-0.65) remained significantly associated with lower 30-day mortality, but had similar 30-day rehospitalization. County-level SES did not improve risk adjustment or change hospital rankings for 30-day mortality or rehospitalization., Conclusions: County-level SES data are modestly associated with 30-day outcomes for Centers for Medicare & Medicaid Services beneficiaries hospitalized with heart failure, but do not improve risk adjustment models based on patient characteristics alone., (© 2015 American Heart Association, Inc.)

Background: Because little was previously known about Asian-American patients with heart failure (HF), we compared clinical profiles, quality of care, and outcomes between Asian-American and non-Hispanic white HF patients using data from the American Heart Association Get With The Guidelines-Heart Failure (GWTG-HF) program., Methods: We analyzed 153,023 HF patients (149,249 whites, 97.5%; 3774 Asian-Americans, 2.5%) from 356 U.S. centers participating in the GWTG-HF program (2005-2012). Baseline characteristics, quality of care metrics, in-hospital mortality, discharge to home, and length of stay were examined., Results: Relative to white patients, Asian-American HF patients were younger, more likely to be male, uninsured or covered by Medicaid, and recruited in the western region. They had higher prevalence of diabetes, hypertension, and renal insufficiency, but similar ejection fraction. Overall, Asian-American HF patients had comparable quality of care except that they were less likely to receive aldosterone antagonists at discharge (relative risk , 0.88; 95% confidence interval , 0.78-0.99), and anticoagulation for atrial fibrillation (RR, 0.91; 95% CI, 0.85-0.97) even after risk adjustment. Compared with white patients, Asian-American patients had comparable risk adjusted in-hospital mortality (RR, 1.11; 95% CI, 0.91-1.35), length of stay>4 days (RR, 1.01; 95% CI, 0.95-1.08), and were more likely to be discharged to home (RR, 1.08; 95% CI, 1.06-1.11)., Conclusions: Despite some differences in clinical profiles, Asian-American patients hospitalized with HF receive very similar quality of care and have comparable health outcomes to their white counterparts., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Disease management programs that target patients with the highest risk of subsequent costs may help payers and providers control health care costs, but identifying these patients prospectively is challenging. We hypothesized that medical history and clinical data from a heart failure registry could be used to prospectively identify patients with heart failure most likely to incur high costs. We linked Medicare inpatient claims to clinical registry data for patients with heart failure and calculated total Medicare costs during the year after the index heart failure hospitalization. We defined patients as having high costs if they were in the upper 5% (>$76,500) of the distribution. We used logistic regression models to identify patient and clinical characteristics associated with high costs. Costs for 40,317 patients in the study varied widely. Patients in the upper 5% of the cost distribution incurred mean costs of $117,193 ± 55,550 during 1 year of follow-up compared to $17,086 ± 17,792 for the lower-cost group. Demographic and clinical characteristics associated with high costs included younger age and black race; history of anemia, chronic obstructive pulmonary disease, ischemic heart disease, diabetes mellitus, or peripheral vascular disease; serum creatinine level; and systolic blood pressure at admission. Mean 1-year Medicare costs for patients whom the model predicted would exceed the high-cost threshold were >2 times the costs for patients below the threshold. In conclusion, a model based on variables from clinical registries can identify a group of patients with heart failure who on average will incur higher costs in the first year after hospitalization., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Background: Policy makers have proposed bundling payments for all heart failure (HF) care within 30 days of an HF hospitalization in an effort to reduce costs. Disease management (DM) programs can reduce costly HF readmissions but have not been economically attractive for caregivers under existing fee-for-service payment. Whether a bundled payment approach can address the negative financial impact of DM programs is unknown., Methods: Our study determined the cost-neutral point for the typical DM program and examined whether published HF DM programs can be cost saving under bundled payment programs. We used a decision analytic model using data from retrospective cohort studies, meta-analyses, 5 randomized trials evaluating DM programs, and inpatient claims for all Medicare beneficiaries discharged with an HF diagnosis from 2001 to 2004. We determined the costs of DM programs and inpatient care over 30 and 180 days., Results: With a baseline readmission rate of 22.9%, the average cost for readmissions over 30 days was $2,272 per patient. Under base-case assumptions, a DM program that reduced readmissions by 21% would need to cost $477 per patient to be cost neutral. Among evaluated published DM programs, 2 of the 5 would increase provider costs (+$15 to $283 per patient), whereas 3 programs would be cost saving (-$241 to $347 per patient). If bundled payments were broadened to include care over 180 days, then program saving estimates would increase, ranging from $419 to $1,706 per patient., Conclusions: Proposed bundled payments for HF admissions provide hospitals with a potential financial incentive to implement DM programs that efficiently reduce readmissions., (Copyright © 2011 Mosby, Inc. All rights reserved.)

BackgroundThe degree to which outcomes following hospitalization for acute heart failure (HF) vary by racial and ethnic groups is poorly characterized. We sought to compare 30-day and 1-year rehospitalization and mortality rates for HF among 4 race/ethnic groups.Methods and resultsUsing the Get With The Guidelines-HF registry linked with Medicare data, we compared 30-day and 1-year outcomes between racial/ethnic groups by using a multivariable Cox proportional hazards model adjusting for clinical, hospital, and socioeconomic status characteristics. We analyzed 47 149 Medicare patients aged ≥65 years who had been discharged for HF between 2005 and 2011: there were 39 213 whites (83.2%), 4946 blacks (10.5%), 2347 Hispanics (5.0%), and 643 Asians/Pacific Islanders (1.4%). Relative to whites, blacks and Hispanics had higher 30-day and 1-year unadjusted readmission rates but lower 30-day and 1-year mortality; Asians had similar 30-day readmission rates but lower 1-year mortality. After risk adjustment, blacks had higher 30-day and 1-year CV readmission than whites but modestly lower short- and long-term mortality; Hispanics had higher 30-day and 1-year readmission rates and similar 1-year mortality than whites, while Asians had similar outcomes. When socioeconomic status data were added to the model, the majority of associations persisted, but the difference in 30-day and 1-year readmission rates between white and Hispanic patients became nonsignificant.ConclusionsAmong Medicare patients hospitalized with HF, short- and long-term readmission rates and mortality differed among the 4 major racial/ethnic populations and persisted even after controlling for clinical, hospital, and socioeconomic status variables.

Hospital readmission is an important clinical outcome of patients with heart failure. Its relation to length of stay for the initial hospitalization is not clear.We used hierarchical modeling of data from a clinical trial to examine variations in length of stay across countries and across hospitals in the United States and its association with readmission within 30 days of randomization. Main outcomes included associations between country-level length of stay and readmission rates, after adjustment for patient-level case mix; and associations between length of stay and readmission rates across sites in the United States. Across 27 countries with 389 sites and 6848 patients, mean length of stay ranged from 4.9 to 14.6 days (6.1 days in the United States). Rates of all-cause readmission ranged from 2.5% to 25.0% (17.8% in the United States). There was an inverse correlation between country-level mean length of stay and readmission (r=-0.52; P<0.01). After multivariable adjustment, each additional inpatient day across countries was associated with significantly lower risk of all-cause readmission (odds ratio, 0.86; 95% confidence interval, 0.75-0.98; P=0.02) and heart failure readmission (odds ratio, 0.79; 95% confidence interval, 0.69-0.99; P=0.03). Similar trends were observed across US study sites concerning readmission for any cause (odds ratio, 0.92; 95% confidence interval, 0.85-1.00; P=0.06) and readmission for heart failure (odds ratio, 0.90; 95% confidence interval, 0.80-1.01; P=0.07). Across countries and across US sites, longer median length of stay was independently associated with lower risk of readmission.Countries with longer length of stay for heart failure hospitalizations had significantly lower rates of readmission within 30 days of randomization. These findings may have implications for developing strategies to prevent readmission, defining quality measures, and designing clinical trials in acute heart failure.URL: http://www.clinicaltrials.gov. Unique identifier: NCT00475852. [ABSTRACT FROM AUTHOR]