Mortality and readmission rates in patients hospitalized for acute decompensated heart failure: a comparison between cardiology and general-medicine service outcomes in an underserved population

Comparison of Characteristics and Outcomes in Patients With Acute Decompensated Heart Failure Admitted Under General Medicine and Cardiology Units

BACKGROUND

Acute decompensated heart failure (ADHF) is a leading cause of cardiovascular disease hospitalisations associated with significant morbidity and mortality. In hospitals, HF patients are typically managed by cardiology or physician teams, with differences in patient demographics and clinical outcomes. This study utilises contemporary HF registry data to compare patient characteristics and outcomes in those with ADHF admitted into General Medicine and Cardiology units.

METHODS

The Victorian Cardiac Outcomes Registry was utilised to identify patients hospitalised with ADHF 30-day period in each of four consecutive years. We compared patient characteristics, pharmacological management and outpatient follow-up of patients admitted to General Medicine and Cardiology units. Primary outcome measures included in-hospital mortality, 30-day readmission, and 30-day mortality.

RESULTS

Between 2014 and 2017, a total of 1,253 patients with ADHF admissions were registered, with 53% admitted in General Medicine units and 47% in Cardiology units. General Medicine patients were more likely to be older (82 vs 71 years; p<0.001), female (51% vs 34%; p<0.001), and have higher prevalence of comorbidities and preserved left ventricular function (p<0.001). There were no differences in primary outcome measures between General Medicine and Cardiology in terms of: in-hospital mortality (5.0% vs 3.9%; p=0.35), 30-day readmission (23.4% vs 23.6%; p=0.93), and 30-day mortality (10.0% vs 8.0%; p=0.21).

CONCLUSIONS

Hospitalised patients with HF continue to have high mortality and rehospitalisation rates. The choice of treatment by General Medicine or Cardiology units, based on the particular medical profile and individual needs of the patients, provides equivalent outcomes.

Impact of Advanced Therapy Centers on Characteristics and Outcomes of Heart Failure Admissions

BACKGROUND

Although much attention has been paid to admission and transfer patterns for cardiogenic shock, contemporary data are lacking on decompensated heart failure (HF) admissions and transfers and the impact of advanced therapy centers (ATCs) on outcomes.

METHODS

HF hospitalizations were obtained from the Nationwide Readmissions Database 2016 to 2019. Centers performing at least 1 heart transplant or left ventricular assist device were classified as ATCs. Patient characteristics, outcomes, and procedural volume were compared among 3 cohorts: admissions to non-ATCs, admissions to ATCs, and transfers to ATCs. A secondary analysis evaluated outcomes for severe HF hospitalizations (cardiogenic shock, cardiac arrest, and mechanical ventilation). Multivariable logistic regression was performed to adjust for the presence of HF decompensations and significant clinical variables during univariate analysis.

RESULTS

A total of 2 331 690 hospitalizations (81.2%) were admissions to non-ATCs (94.5% of centers), 525 037 (18.3%) were admissions to ATCs (5.5% of centers), and 15 541 (0.5%) were transferred to ATCs. Patients treated at ATCs (especially those transferred) had higher rates of HF decompensations, procedural frequency, lengths of stay, and costs. Unadjusted mortality was 2.6% at non-ATCs and was higher at ATCs, both for directly admitted (2.9%, P<0.001) and transferred (11.2%, P<0.001) patients. However, multivariable-adjusted mortality was significantly lower at ATCs, both for directly admitted (odds ratio, 0.82 [95% CI, 0.78-0.87]; P<0.001) and transferred (odds ratio, 0.66 [95% CI, 0.57-0.78]; P<0.001) patients. For severe HF admissions, unadjusted mortality was 37.2% at non-ATCs and was lower at ATCs, both for directly admitted (25.3%, P<0.001) and transferred (25.2%, P<0.001) patients, with similarly lower multivariable-adjusted mortality.

CONCLUSIONS

Patients with HF treated at ATCs were sicker but associated with higher procedural volume and lower adjusted mortality.

Eliminating Health Disparities in Atrial Fibrillation, Heart Failure, and Dyslipidemia: A Path Toward Achieving Pharmacoequity

PURPOSE OF REVIEW

Pharmacoequity refers to the goal of ensuring that all patients have access to high-quality medications, regardless of their race, ethnicity, gender, or other characteristics. The goal of this article is to review current evidence on disparities in access to cardiovascular drug therapies across sociodemographic subgroups, with a focus on heart failure, atrial fibrillation, and dyslipidemia.

RECENT FINDINGS

Considerable and consistent disparities to life-prolonging heart failure, atrial fibrillation, and dyslipidemia medications exist in clinical trial representation, access to specialist care, prescription of guideline-based therapy, drug affordability, and pharmacy accessibility across racial, ethnic, gender, and other sociodemographic subgroups. Researchers, health systems, and policy makers can take steps to improve pharmacoequity by diversifying clinical trial enrollment, increasing access to inpatient and outpatient cardiology care, nudging clinicians to increase prescription of guideline-directed medical therapy, and pursuing system-level reforms to improve drug access and affordability.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure

Importance

Involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF.

Objective

To determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF.

Design, Setting, and Participants

This retrospective cohort study used data from the Reasons for Geographic and Racial Difference in Stroke (REGARDS) cohort. Participants included adults who experienced an adjudicated hospitalization for HF between 2009 and 2017 in all 48 contiguous states in the US. Data analysis was performed from November 2022 to January 2023.

Exposures

A total of 9 candidate SDOH, aligned with the Healthy People 2030 conceptual model, were examined: Black race, social isolation, social network and/or caregiver availability, educational attainment less than high school, annual household income less than $35 000, living in rural area, living in a zip code with high poverty, living in a Health Professional Shortage Area, and living in a state with poor public health infrastructure.

Main Outcomes and Measures

The primary outcome was cardiologist involvement, defined as involvement of a cardiologist as the primary responsible clinician or as a consultant. Bivariate associations between each SDOH and cardiologist involvement were examined using Poisson regression with robust SEs.

Results

The study included 1000 participants (median [IQR] age, 77.8 [71.5-84.0] years; 479 women [47.9%]; 414 Black individuals [41.4%]; and 492 of 876 with low income [56.2%]) hospitalized at 549 unique US hospitals. Low annual household income (<$35 000) was the only SDOH with a statistically significant association with cardiologist involvement (relative risk, 0.88; 95% CI, 0.82-0.95). In a multivariable analysis adjusting for age, race, sex, HF characteristics, comorbidities, and hospital characteristics, low income remained inversely associated with cardiologist involvement (relative risk, 0.89; 95% CI, 0.82-0.97).

Conclusions and Relevance

This cohort study found that adults with low household income were 11% less likely than adults with higher incomes to have a cardiologist involved in their care during a hospitalization for HF. These findings suggest that socioeconomic status may bias the care provided to patients hospitalized for HF.

A Public Health Critical Race Praxis Informed Congestive Heart Failure Quality Improvement Initiative on Inpatient General Medicine

BACKGROUND

Prior evaluation at our hospital demonstrated that, compared to White patients, Black and Latinx patients with congestive heart failure (CHF) were less likely to be admitted to the cardiology service rather than the general medicine service (GMS). Patients admitted to GMS (compared to cardiology) had inferior rates of cardiology follow-up and 30-day readmission.

OBJECTIVE

To develop and test the feasibility and impacts of using quality improvement (QI) methods, in combination with the Public Health Critical Race Praxis (PHCRP) framework, to engage stakeholders in developing an intervention for ensuring guideline-concordant inpatient CHF care across all patient groups.

METHODS

We compared measures for all patients admitted with CHF to GMS between September 2019 and March 2020 (intervention group) to CHF patients admitted to GMS in the previous year (pre-intervention group) and those admitted to cardiology during the pre-intervention and intervention periods (cardiology group). Our primary measures were 30-day readmissions and 14- and 30-day post-discharge cardiology follow-up.

RESULTS

There were 79 patients admitted with CHF to GMS during the intervention period, all of whom received the intervention. There were similar rates of Black and Latinx patients across the three groups. Compared to pre-intervention, intervention patients had a significantly lower 30-day readmission rate (18.9% vs. 24.8%; p=0.024), though the cardiology group also had a decrease in 30-day readmissions from the pre-intervention to intervention period. Compared to pre-intervention, intervention patients had significantly higher 14-day and 30-day post-discharge follow-up visits scheduled with cardiology (36.7% vs. 24.8%, p=0.005; 55.7% vs. 42.3%, p=0.0029), but no improvement in appointment attendance.

CONCLUSION

This study provides a first test of applying the PHCRP framework within a stakeholder-engaged QI initiative for improving CHF care across races and ethnicities. Our study design cannot evaluate causation. However, the improvements in 30-day readmission, as well as in processes of care that may affect it, provide optimism that inclusion of a racism-conscious framework in QI initiatives is feasible and may enhance QI measures.

Differences in Demographics, in-Hospital Management and Short-Term Prognosis in Admissions for Acutely Decompensated Heart Failure to Cardiology vs. Internal Medicine Departments: A Prospective Study

Heart failure (HF) is among the leading causes of unplanned hospital admissions worldwide. Patients with HF carry a high burden of comorbidities; hence, they are frequently admitted for non-cardiac conditions and managed in Internal Medicine Departments (IMD). The aim of our study was to investigate differences in demographics, in-hospital management, and short-term outcomes of HF patients admitted to IMD vs. cardiology departments (CD). A prospective cohort study enrolling consecutive patients with acutely decompensated HF either as primary or as secondary diagnosis during the index hospitalization was conducted. Our primary endpoint was a combined endpoint of in-hospital mortality and 30-day rehospitalization for HF. A total of 302 patients participated in the study, with 45% of them admitted to IMD. Patients managed by internists were older with less pronounced HF symptoms on admission. In-hospital mortality was higher for patients admitted to IMD vs. CD (21% vs. 6%, p < 0.001). The composite endpoint of in-hospital death and heart failure hospitalizations at 30 days post-discharge was higher for patients admitted to IMD both in univariate [OR: 3.2, 95% CI (1.8-5.7); p < 0.001] and in multivariate analysis [OR 3.74, 95% CI (1.72-8.12); p = 0.001]. In addition, the HF rehospitalization rate at 6 months after discharge was higher in IMD patients [HR 1.65, 95% CI (1.1, 2.4), p = 0.01]. Overall, HF patients admitted to IMD have worse short-term outcomes compared to patients admitted to CD.

Hospital development of heart failure follow-up units and short-term prognosis after acute decompensation in Spain

OBJECTIVE

To investigate whether the existence of heart failure units (HFU) and link nurse units (LNU) in the hospital improve short-term outcomes of acute heart failure (AHF) episodes.

METHODS

Patients with AHF diagnosed in 45 Spanish emergency departments were analysed according to whether the hospital had a complete development of follow-up units (HFU + LNU), partial (HFU or LNU) or none. The outcomes were: 30-day mortality, hospitalization, in-hospital mortality, >7 days admission, and adverse event (death, rehospitalisation, or reconsultation to the emergency department) at 30 days post-discharge. Outcomes were adjusted for baseline and AHF episode characteristics.

RESULTS

19,947 patients were included, median age was 82 years (IQR 76--87), women were 55%. It was 20% of patients attended in hospitals with null development, 28% with partial development and 52% with complete development. Mortality at 30 days was 10.1% (null/partial/complete development: 10.5%/9.5%/10.4%; p=0.880), hospitalization 74.6% (72.7%/72.7%/75.7%; p<0.001), in-hospital mortality 7.4% (7.6%/7.0%/7.5%; p=0.995), prolonged hospitalization 47.4% (51.1%/52.4%/43.5%; p<0.001) and adverse events 30 days post-hospitalization 30.3% (36.2%/28.9%/30.3%; p < 0.001). In the adjusted analysis, hospital with complete development of follow-up units was not associated with mortality, but with increased hospitalization (OR= 1.172; 95%CI 1.069-1.285) and lower prolonged hospitalization (OR = 0.725; 95%CI 0.660-0.797) and adverse events at 30 days post-discharge (OR=0.831; 95%CI 0.755-0.916). Partial development was only associated with decreased post-discharge adverse events (OR= 0.782; 95%CI 0.702-0.871).

CONCLUSION

The development of follow-up units is not associated with 30-day mortality, but is associated with less prolonged hospitalization and fewer post-discharge adverse events in patients with AHF.

Association between patient volume to cardiologist, process of care, and clinical outcomes in heart failure

AIMS

The impact of hospital volume on clinical performance has been investigated by many researchers to date and thought that it is associated with quality of care and outcome for patients with heart failure (HF). This study sought to determine whether annual admissions of HF per cardiologist are associated with process of care, mortality, and readmission.

METHODS AND RESULTS

Among the nationwide registry 'Japanese registry of all cardiac and vascular diseases - diagnostics procedure combination' data collected from 2012 to 2019, a total of 1 127 113 adult patients with HF and 1046 hospitals were included in the study. Primary outcome was in-hospital mortality, and secondary outcome was 30 day in-hospital mortality and readmission at 30 days and 6 months. Hospital and patient characteristics and process of care measures were also assessed. Mixed-effect logistic regression and Cox proportional-hazards model was used for multivariable analysis, and adjusted odds ratio and hazard ratio were evaluated. Process of care measures had inverse trends for annual admissions of HF per cardiologist (P < 0.01 for all measures: prescription rate of beta-blocker, angiotensin converting enzyme inhibitor or angiotensin II receptor blocker, mineralocorticoid receptor antagonist, and anticoagulant for atrial fibrillation). Adjusted odds ratio for in-hospital mortality was 1.04 (95% confidence interval (CI): 1.04-1.08, P = 0.04) and 30 day in-hospital mortality was 1.05 (95% CI: 1.01-1.09, P = 0.01) for interval of 50 annual admissions of HF per cardiologist. Adjusted hazard ratio for 30 day readmission was 1.05 (95% CI: 1.02-1.08, P < 0.01) and 6 month readmission was 1.07 (95% CI: 1.03-1.11, P < 0.01). Plots of the adjusted odds indicated 300 as the threshold of annual admissions of HF per cardiologist for substantial increase of in-hospital mortality risk.

CONCLUSIONS

Our findings demonstrated that annual admissions of HF per cardiologist are associated with worse process of care, mortality, and readmission with the threshold for mortality risk increased, emphasizing the optimal proportion of patients admitted with HF to cardiologist for better clinical performance.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure

Introduction

The involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Since reasons for this are not entirely clear, we sought to determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. We hypothesized that SDOH would be inversely associated with cardiologist involvement in the care of adults hospitalized for HF.

Methods

We included adult participants from the national REasons for Geographic And Racial Difference in Stroke (REGARDS) cohort, who experienced an adjudicated hospitalization for HF between 2009 and 2017. We excluded participants who were hospitalized at institutions that lacked cardiology services (n=246). We examined nine candidate SDOH, which align with the Healthy People 2030 conceptual model: Black race, social isolation (0-1 visits from a family or friend in the past month), social network/caregiver availability (having someone to care for them if ill), educational attainment < high school, annual household income < $35,000, living in rural areas, living in a zip code with high poverty, living in a Health Professional Shortage Area, and residing in a state with poor public health infrastructure. The primary outcome was cardiologist involvement, a binary variable which was defined as involvement of a cardiologist as the primary responsible clinician or as a consultant, collected via chart review. We examined associations between each SDOH and cardiologist involvement using Poisson regression with robust standard errors. Candidate SDOH with statistically significant associations (p<0.10) were retained for multivariable analysis. Potential confounders/covariates for the multivariable analysis included age, race, sex, HF characteristics, comorbidities, and hospital characteristics.

Results

We examined 876 participants hospitalized at 549 unique US hospitals. The median age was 77.5 years (IQR 71.0-83.7), 45.9% were female, 41.4% were Black, and 56.2% had low income. Low household income (<$35,000/year) was the only SDOH that had a statistically significant association with cardiologist involvement in a bivariate analysis (RR: 0.88 [95% CI: 0.82-0.95]). After adjusting for potential confounders, low income remained inversely associated (RR: 0.89 [95% CI: 0.82-0.97]).

Conclusions

Adults with low household income were 11% less likely to have a cardiologist involved in their care during a hospitalization for HF. This suggests that socioeconomic status may implicitly bias the care provided to patients hospitalized for HF.

Influence of Social Determinants of Health on Heart Failure Outcomes: A Systematic Review

Background Prior research suggests an association between clinical outcomes in heart failure (HF) and social determinants of health (SDoH). Because providers should identify and address SDoH in care delivery, we evaluated how SDoH have been defined, measured, and evaluated in studies that examine HF outcomes. Methods and Results Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, databases were searched for observational or interventional studies published between 2009 and 2021 that assessed the influence of SDoH on outcomes. Selected articles were assessed for quality using a validated rating scheme. We identified 1373 unique articles for screening; 104 were selected for full-text review, and 59 met the inclusion criteria, including retrospective and prospective cohort, cross-sectional, and intervention studies. The majority examined readmissions and hospitalizations (k=33), mortality or survival (k=29), and success of medical devices and transplantation (k=8). SDoH examined most commonly included race, ethnicity, age, sex, socioeconomic status, and education or health literacy. Studies used a range of 1 to 9 SDoH as primary independent variables and 0 to 7 SDoH as controls. Multiple data sources were employed and frequently were electronic medical records linked with national surveys and disease registries. The effects of SDoH on HF outcomes were inconsistent because of the heterogeneity of data sources and SDoH constructs. Conclusions Our systematic review reveals shortcomings in measurement and deployment of SDoH variables in HF care. Validated measures need to be prospectively and intentionally collected to facilitate appropriate analysis, reporting, and replication of data across studies and inform the design of appropriate, evidence-based interventions that can ameliorate significant HF morbidity and societal costs.

Frailty and prognosis of older patients with chronic heart failure

INTRODUCTION AND OBJECTIVES

Heart failure (HF) is prevalent in advanced ages. Our objective was to assess the impact of frailty on 1-year mortality in older patients with ambulatory HF.

METHODS

Our data come from the FRAGIC study (Spanish acronym for "Study of the impact of frailty and other geriatric syndromes on the clinical management and prognosis of elderly outpatients with heart failure"), a multicenter prospective registry conducted in 16 Spanish hospitals including outpatients ≥ 75 years with HF followed up by cardiology services in Spain.

RESULTS

We included 499 patients with a mean age of 81.4±4.3 years, of whom 193 (38%) were women. A total of 268 (54%) had left ventricular ejection fraction <40%, and 84.6% was in NYHA II functional class. The FRAIL scale identified 244 (49%) pre-frail and 111 (22%) frail patients. Frail patients were significantly older, were more frequently female (both, P <.001), and had higher comorbidity according to the Charlson index (P=.017) and a higher prevalence of geriatric syndromes (P <.001). During a median follow-up of 371 [361-387] days, 58 patients (11.6%) died. On multivariate analysis (Cox regression model), frailty detected with the FRAIL scale was marginally associated with mortality (HR=2.35; 95%CI, 0.96-5.71; P=.059), while frailty identified by the visual mobility scale was an independent predictor of mortality (HR=2.26; 95%CI, 1.16-4.38; P=.015); this association was maintained after adjustment for confounding variables (HR=2.13; 95%CI, 1.08-4.20; P=.02).

CONCLUSIONS

In elderly outpatients with HF, frailty is independently associated with mortality at 1 year of follow-up. It is essential to identify frailty as part of the comprehensive approach to elderly patients with HF.

Characteristics and outcomes of patients with heart failure discharged from different speciality units in Australia: an observational study

BACKGROUND

Previous studies have reported differing clinical outcomes among hospitalized heart failure (HF) patients admitted under cardiology and general medicine (GM) without consideration of patients' frailty.

AIMS

To explore outcomes in patients admitted under the two specialities after taking into account their frailty and other characteristics.

METHODS

This retrospective study included all HF patients ≥18 years admitted between 1 January 2013 and 31 December 2019 at two Australian tertiary hospitals. Frailty was determined by use of the Hospital Frailty Risk Score (HFRS) and patients with HFRS ≥ 5 were classified as frail. Propensity score matching (PSM) was used to match 11 variables between the two specialities. The primary outcomes included the days-alive-and-out-of-hospital (DAOH90) at 90 days of discharge, 30-day mortality and readmissions.

RESULTS

Of 4913 HF patients, mean age 76.2 (14.1) years, 51% males, 2653 (54%) were admitted under cardiology compared to 2260 (46%) under GM. Patients admitted under GM were more likely to be older females, with a higher Charlson index and poor renal function than those admitted under cardiology. Overall, 23.8% patients were frail and frail patients were more likely to be admitted under GM than cardiology (33.6% vs. 15.3%, P < 0.001). PSM created 1532 well-matched patients in each group. After PSM, the DAOH90 was not significantly different among patients admitted in GM when compared to cardiology (coefficient -5.36, 95% confidence interval -11.73 to 1.01, P = 0.099). Other clinical outcomes were also similar between the two specialities.

CONCLUSIONS

Clinical characteristics of HF patients differ between GM and cardiology; however, clinical outcomes were not significantly different after taking into account frailty and other variables.

Temporal Trends of Heart Failure Hospitalizations in Cardiology Versus Noncardiology Wards According to Ejection Fraction: 16-Year Data From the SwedeHF Registry

BACKGROUND

Patients hospitalized for acute heart failure (AHF) may receive different care depending on type of ward. We describe temporal changes in triage of HF patients with preserved, mildly reduced, and reduced ejection fraction (HFpEF, HFmrEF, and HFrEF) hospitalized for AHF to cardiology versus noncardiology wards in Sweden.

METHODS

We analyzed temporal changes in ward type for AHF for HFrEF versus HFmrEF versus HFpEF between 2000 and 2016.

RESULTS

Among 37 918 patients with AHF, 19 777 (52%) had HFrEF, 7712 (20%) had HFmrEF, and 10 429 (28%) had HFpEF. Overall, 19 646 (52%) were hospitalized in cardiology and 18 272 (48%) in noncardiology. The proportions hospitalized in noncardiology in 2000 to 2004 versus in 2013 to 2016 were for HFrEF: 45 versus 47%, for HFmrEF: 52 versus 56%, and for HFpEF: 46 versus 64%, respectively. The overall proportion of HFrEF in 2000 to 2004 versus in 2013 to 2016 decreased (60% versus 49%) especially in noncardiology (58% versus 41%), whereas the overall proportion of HFpEF increased (20% versus 30%) especially in noncardiology (21% versus 37%). The average age and prevalence of comorbidities also increased over time, with older patients with multiple comorbidities being more frequently admitted to noncardiology wards.

CONCLUSIONS

Over time, AHF hospitalization for HFpEF occurred increasingly in noncardiology, whereas for HFrEF and HFmrEF the proportions of patients treated in cardiology versus noncardiology were substantially unchanged over time. This may have implications for implementation of emerging HFpEF therapy.

Validation and derivation of short-term prognostic risk score in acute decompensated heart failure in China

Background

Few prognostic risk scores (PRSs) have been routinely used in acute decompensated heart failure (ADHF). We, therefore, externally validated three published PRSs (3A3B, AHEAD, and OPTIME-CHF) and derived a new PRS to predict the short-term prognosis in ADHF.

Methods

A total of 4550 patients from the Heb-ADHF registry in China were randomly divided into the derivation and validation cohorts (3:2). Discrimination of each PRS was assessed by the area under the receiver operating characteristic curve (AUROC). Logistic regression was exploited to select the predictors and create the new PRS. The Hosmer–Lemeshow goodness-of-fit test was used to assess the calibration of the new PRS.

Results

The AUROCs of the 3A3B, AHEAD, and OPTIME-CHF score in the derivation cohort were 0.55 (95% CI 0.53–0.57), 0.54 (95% CI 0.53–0.56), and 0.56 (95% CI 0.54–0.57), respectively. After logistic regression analysis, the new PRS computed as 1 × (diastolic blood pressure < 80 mmHg) + 2 × (lymphocyte > 1.11 × 10⁹/L) + 1 × (creatinine > 80 μmol/L) + 2 × (blood urea nitrogen > 21 mg/dL) + 1 × [BNP 500 to < 1500 pg/mL (NT-proBNP 2500 to < 7500 pg/mL)] or 3 × [BNP ≥ 1500 (NT-proBNP ≥ 7500) pg/mL] + 3 × (QRS fraction of electrocardiogram < 55%) + 4 × (ACEI/ARB not used) + 1 × (rhBNP used), with a better AUROC of 0.67 (95% CI 0.64–0.70) and a good calibration (Hosmer–Lemeshow χ² = 3.366, P = 0.186). The results in validation cohort verified these findings.

Conclusions

The short-term prognostic values of 3A3B, AHEAD, and OPTIME-CHF score in ADHF patients were all poor, while the new PRS exhibited potential predictive ability. We demonstrated the QRS fraction of electrocardiogram as a novel predictor for the short-term outcomes of ADHF for the first time. Our findings might help to recognize high-risk ADHF patients.

Non-cardiology vs. cardiology care of patients with heart failure and reduced ejection fraction is associated with lower use of guideline-based care and higher mortality: Observations from The Swedish Heart Failure Registry

BACKGROUND

Patients with heart failure (HF) are often cared for by non-cardiologists. The implications are unknown.

METHODS

In a nationwide HF cohort with reduced ejection fraction (HFrEF), we compared demographics, clinical characteristics, guideline-based therapy use and outcomes in non-cardiology vs. cardiology in-patient and out-patient care.

RESULTS

Between 2000 and 2016, 36,076 patients with HFrEF were enrolled in the Swedish HF registry (19,337 [54%] in-patients overall), with 44% of in-patients and 45% of out-patients managed in non-cardiology settings. Predictors of treatment in non-cardiology were age > 75 years (adjusted odds ratio for non-cardiology 1.20; 95% confidence interval 1.14-1.27), lower education level (0.71; 0.66-0.76 for university vs. compulsory), valve disease (1.24; 1.18-1.31) and systolic blood pressure (SBP) >120 mmHg (1.05; 1.00-1.10). Non-cardiology care was significantly associated with lower use of beta-blockers (0.80; 0.74-0.86) and devices (intracardiac defibrillator [ICD] and/or cardiac resynchronization therapy [CRT]: 0.63; 0.56-0.71), and less frequent specialist follow-up (0.61; 0.57-0.65). Over 1-year follow-up the risk of all-cause mortality (adjusted hazard ratio 1.09; 1.03-1.15) was higher but the risk of first HF (re-) hospitalization was lower (0.93; 0.89-0.97) in non-cardiology vs. cardiology care.

CONCLUSIONS

In HFrEF, non-cardiology care was independently associated with older ageand lower education. After covariate adjustment, non-cardiology care was associated with lower use of beta-blockers and devices, higher mortality, and lower risk of HF hospitalization. Access to cardiology care may not be equitable and this may have implications for use of guideline-based care and outcomes.

Morbidity and mortality in elderly patients with heart failure managed with a comprehensive care model vs. usual care: The UMIPIC program

BACKGROUND

Elderly patients with heart failure (HF) have a high degree of comorbidity which leads to fragmented care, with frequent hospitalizations and high mortality. This study evaluated the benefit of a comprehensive continuous care model (UMIPIC program) in elderly HF patients.

METHODS AND RESULTS

We prospectively analyzed data from the RICA registry on 2862 patients with HF treated in internal medicine departments. They were divided into two groups: one monitored in the UMIPIC program (UMIPIC group, n: 809) and another which received conventional care (RICA group, n: 2.053). We evaluated HF readmissions during 12 months of follow-up and total mortality after episodes of HF hospitalization. UMIPIC patients were older with higher rates of comorbidity and preserved ejection fraction than the RICA group. However, the UMIPIC group had a lower rate of HF readmissions (17% vs. 26%, p < .001) and mortality (16% vs. 27%, respectively; p < .001). In addition, we selected 370 propensity score-matched patients from each group and the differences in HF readmissions (15% UMIPIC vs. 30% RICA; hazard ratio [HR] = 0.44; 95% confidence interval [CI] 0.32-0.60; p < .001) and mortality (17% UMIPIC vs. 28% RICA; hazard ratio = 0.58; 95% CI 0.42-0.79; p = .001) were maintained.

CONCLUSIONS

The implementation of the UMIPIC program, based on comprehensive continuous care of elderly patients with HF and high comorbidity, markedly reduce HF readmissions and total mortality.

Prediction Model Using Machine Learning for Mortality in Patients with Heart Failure

Heart Failure (HF) is a major cause of morbidity and mortality in the US. With aging of the US population, the public health burden of HF is enormous. We aimed to develop an ensemble prediction model for 30-day mortality after discharge using machine learning. Using an electronic medical records (EMR) database, all patients with a non-elective HF admission over 10 years (January 2001 - December 2010) within the Montefiore Medical Center (MMC) health system, in the Bronx, New York, were included. We developed an ensemble model for 30-day mortality after discharge and employed discrimination, range of prediction, Brier index and explained variance as metrics in assessing model performance. A total of 7,516 patients were included. The discrimination achieved by the ensemble model was higher 0.83 (95% CI: 0.80 to 0.87) compared to the benchmark model 0.79 (95% CI: 0.75 to 0.84). The ensemble model also exhibited a better range of prediction as well as a favorable profile with respect to the other metrics employed. In conclusion, an ensemble machine learning approach exhibited an improvement in performance compared to the benchmark logistic model in predicting all-cause mortality among HF patients within 30-days of discharge. Machine learning is a promising alternative approach for risk profiling of HF patients, and it enhances individualized patient management.

Good performance in the management of acute heart failure in cardiogeriatric departments: the ICREX-94 experience

CONTEXT

A growing number of elderly patients hospitalized for Acute Heart Failure (AHF) are being managed in cardiogeriatrics departments, but their characteristics and prognosis are poorly known. This study aimed to investigate the profile and outcome (rehospitalization at 90 days) of patients hospitalized for AHF in cardiogeriatrics departments in the Val-de-Marne area in the suburbs of Paris, and to compare them to AHF patients hospitalized in cardiology departments in the same area.

METHODS

Observational study, ICREX-94, conducted in seven cardiology departments in France and three specific cardiogeriatrics departments in Val-de-Marne.

RESULTS

A total of 308 patients were hospitalized for AHF between October 2017 and January 2019. During the 90 days following discharge, 29.6% patients were readmitted to the hospital. Compared with patients hospitalized in cardiology departments, patients in cardiogeriatrics departments were older (p < 0.001), less independent (living more often alone or in an institution) (p < 0.001), more often depressed (p < 0.001), had more often major neurocognitive disorder (p < 0.001), had a higher Human Development Index (HDI, p < 0.001), and were less often diagnosed with amyloidosis (p < 0.001). There was no difference in outcome whether patients were discharged from cardiology or cardiogeriatrics departments. The most frequent precipitating factors underlying AHF decompensation between the first and second hospitalization were arrhythmia and infection.

CONCLUSION

AHF patients discharged from cardiogeriatrics departments, compared to cardiology departments, showed clinical differences but had the same prognosis regarding AHF rehospitalization at 90 days.

Disparities in the characteristics and outcomes of patients hospitalized with acute decompensated heart failure admitted to internal medicine and cardiology departments: a single-centre, retrospective cohort study

Aims

Efforts are constantly made to decrease the rates of readmission after acute decompensated heart failure (ADHF). ADHF admissions to internal medicine departments (IMD) were previously associated with higher risk for readmission compared with those admitted to cardiology departments (CD). It is unknown if the earlier still applies after recent advancement in care over the last decade. This contemporary cohort compares characteristics and outcomes of ADHF patients admitted to IMD with those admitted to CD.

Methods and results

The data for this single‐centre, retrospective study utilized a cohort of 8332 ADHF patients admitted between 2007 and 2017. We compared patients' baseline characteristics and clinical and laboratory indices of patients admitted to CD and IMD with the outcome defined as 30 day readmission rate. In comparison with those admitted to CD, patients admitted to IMD (89.5% of patients) were older (79 [70–86] vs. 69 [60–78] years; P < 0.001) and had a higher incidence of co‐morbidities and a higher ejection fraction. Readmission rates at 30 days were significantly lower in patients admitted to CD (15.9% vs. 19.6%; P = 0.01). Conflicting results of three statistical models failed to associate between the admitting department and 30 day readmission (odds ratio for 30 day readmission in CD: forced and backward stepwise logistic regression 0.8, 95% confidence interval 0.65–0.97, P = 0.02; stabilized inverse probability weights model odds ratio 1.0, confidence interval 0.75–1.37, P = 0.96).

Conclusions

This contemporary analysis of ADHF patient cohort demonstrates significant differences in the characteristics and outcomes of patients admitted to IMD and CD. Thus, focusing strategies for readmission prevention in patients admitted to IMD may be beneficial.

Characteristics of current heart failure patients admitted to internal medicine vs. cardiology hospital units: the VASCO study

The majority of patients hospitalized for heart failure (HF) are admitted to internal medicine (IM) rather than to cardiology (CA) units, but to date few studies have analyzed the characteristics of these two populations. In this snapshot survey, we compared consecutive patients admitted for HF in six IM units vs. one non-intensive CA unit. During the 6-month survey period, 467 patients were enrolled (127 in CA, 27.2% vs. 340 in IM, 72.8%). IM patients were almost 10 years older (CA 75 ± 10, IM 82 ± 8 years; p < 0.001), more frequently female (CA 39%, IM 55%; p = 0.002) and living at home alone (CA 12%, IM 21%; p = 0.017). The leading cause of hospitalization in both groups was acute worsening of HF (CA 42%, IM 53%; p = 0.031), followed by atrial fibrillation (CA 29%, IM 12%; p < 0.001) and infections (CA 24%, IM 27%; p = 0.563). Ischemic (CA 43%, IM 30%; p = 0.008) and dilated cardiomyopathy patients (CA 21%, IM 12%; p < 0.001) were primarily admitted to CA unit, whereas those with hypertensive heart disease to IM (CA 3%, IM 39%; p < 0.001). Left ventricular ejection fraction (LVEF) was available in 96% of CA patients, but only in 60% of IM patients (p = 0.001). Among patients with LVEF measured, those with LVEF < 40% were predominantly admitted to CA (CA 60%, IM 14%; p < 0.001), whereas those with LVEF ≥ 50% were admitted to IM (CA 21%, IM 33%; p = 0.019); 26% of IM patients were discharged without a known LVEF. Medical treatments also significantly differed, according to patients' clinical and instrumental characteristics in each unit. This study demonstrates important differences between HF patients hospitalized in CA vs. IM, and the need for a greater interaction between these two medical specialties for a better care of HF patients.

Identification of Racial Inequities in Access to Specialized Inpatient Heart Failure Care at an Academic Medical Center

BACKGROUND

Racial inequities for patients with heart failure (HF) have been widely documented. HF patients who receive cardiology care during a hospital admission have better outcomes. It is unknown whether there are differences in admission to a cardiology or general medicine service by race. This study examined the relationship between race and admission service, and its effect on 30-day readmission and mortality Methods: We performed a retrospective cohort study from September 2008 to November 2017 at a single large urban academic referral center of all patients self-referred to the emergency department and admitted to either the cardiology or general medicine service with a principal diagnosis of HF, who self-identified as white, black, or Latinx. We used multivariable generalized estimating equation models to assess the relationship between race and admission to the cardiology service. We used Cox regression to assess the association between race, admission service, and 30-day readmission and mortality.

RESULTS

Among 1967 unique patients (66.7% white, 23.6% black, and 9.7% Latinx), black and Latinx patients had lower rates of admission to the cardiology service than white patients (adjusted rate ratio, 0.91; 95% CI, 0.84-0.98, for black; adjusted rate ratio, 0.83; 95% CI, 0.72-0.97 for Latinx). Female sex and age >75 years were also independently associated with lower rates of admission to the cardiology service. Admission to the cardiology service was independently associated with decreased readmission within 30 days, independent of race.

CONCLUSIONS

Black and Latinx patients were less likely to be admitted to cardiology for HF care. This inequity may, in part, drive racial inequities in HF outcomes.

Are degree of urbanisation and travel times to healthcare services associated with the processes of care and outcomes of heart failure? A retrospective cohort study based on administrative data

A few studies have found that patients with heart failure (HF) living in less densely populated areas have reduced use of services and poorer outcomes. However, there is a lack of evidence regarding transport accessibility measured as the actual distance between the patient's home and the healthcare facility. The aim of this study was to investigate if different urbanisation levels and travel times to healthcare services are associated with the processes of care and the outcomes of HF. This retrospective cohort study included patients residing in the Local Healthcare Authority of Bologna (2915 square kilometres) who were discharged from hospital with a diagnosis of HF between 1 January and 31 December 2017. Six-month study outcomes included both process (cardiology follow-up visits) and outcome measures (all-cause readmissions, emergency room visits, all-cause mortality). Of the 2022 study patients, 963 (47.6%) lived in urban areas, 639 (31.6%) in intermediate density areas, and 420 (20.8%) in rural communities. Most patients lived ≤30 minutes away from the nearest healthcare facility, either inpatient or outpatient. After controlling for a number of individual factors, no significant association between travel times and outcomes was present. However, rural patients as opposed to urban patients were more likely to see a cardiologist during follow-up (OR 1.42, 99% CI 1.03-1.96). These follow-up visits were associated with reduced mortality within 6 months of discharge (OR 0.53, 99% CI 0.32-0.87). We also found that multidisciplinary interventions for HF were more common in rural than in urban settings (18.8% vs. 4.0%). In conclusion, travel times had no impact on the quality of care for patients with HF. Differences between urban and rural patients were possibly mediated by more proximal factors, some of which are potential targets for intervention such as the availability and utilisation of follow-up cardiology services and multidisciplinary models of care.

PROCESS AND SYSTEMS: A cohort study to evaluate the impact of service centralisation for emergency admissions with acute heart failure

The aim of our study was to describe the impact of emergency care centralisation on unscheduled admissions with a primary discharge diagnosis of acute heart failure (HF). We carried out a retrospective cohort study of HF admissions 1 year before and 1 year after centralisation of three accident and emergency departments into one within a single large NHS trust. Outcomes included mortality, length of stay, readmissions, specialist inpatient input and follow-up, and prescription rates of stabilising medication. Baseline characteristics were similar for 211 patients before and for 307 following reconfiguration. Median length of stay decreased from 8 to 6 days (p=0.020) without an increase in readmissions (4.7% versus 4.2%, p=0.813). The proportion with specialist follow-up increased (60% to 72%, p=0.036). There was a trend towards decreased mortality (32.2% versus 27.7% at 90 days; p=0.266). Contact with the cardiology team was associated with decreased mortality. In conclusion, centralisation of specialist emergency care was associated with greater service efficiency and a trend towards reduced mortality.

Accessibility of Prenatal Care Can Affect Inequitable Health Outcomes of Pregnant Women Living in Obstetric Care Underserved Areas: a Nationwide Population-Based Study

BACKGROUND

As of 2011, among 250 administrative districts in Korea, 54 districts did not have obstetrics and gynecology clinics or hospitals providing prenatal care and delivery services. The Korean government designated 38 regions among 54 districts as "Obstetric Care Underserved Areas (OCUA)." However, little is known there are any differences in pregnancy, prenatal care, and outcomes of women dwelling in OCUA compared to women in other areas. The purposes of this study were to compare the pregnancy related indicators (PRIs) and adequacy of prenatal care between OCUA region and non-OCUA region.

METHODS

Using National Health Insurance database in Korea from January 1, 2012 to December 31, 2014, we constructed the whole dataset of women who terminated pregnancy including delivery and abortion. We assessed incidence rate of 17 PRIs and adequacy of prenatal care. All indicators were compared between OCUA group and non-OCUA group.

RESULTS

The women dwelling in OCUA regions were more likely to get abortion (4.6% in OCUA vs. 3.6% in non-OCUA) and receive inadequate prenatal care (7.2% vs. 4.4%). Regarding abortion rate, there were significant regional differences in abortion rate. The highest abortion rate was 10.3% and the lowest region was 1.2%. Among 38 OCUA regions, 29 regions' abortion rates were higher than the national average of abortion rate (3.56%) and there were 10 regions in which abortion rates were higher than 7.0%. In addition, some PRIs such as acute pyelonephritis and transfusion in obstetric hemorrhage were more worse in OCUA regions compared to non-OCUA regions.

CONCLUSION

PRIs are different according to the regions where women are living. The Korean government should make an effort reducing these gaps of obstetric cares between OCUA and non-OCUA.

African Americans Are Less Likely to Receive Care by a Cardiologist During an Intensive Care Unit Admission for Heart Failure

OBJECTIVES

This study sought to determine whether the likelihood of receiving primary intensive care unit (ICU) care by a cardiologist versus a noncardiologist was greater for Caucasians than for African Americans admitted to an ICU for heart failure (HF). The authors further evaluated whether primary ICU care by a cardiologist is associated with higher in-hospital survival, irrespective of race.

BACKGROUND

Increasing data demonstrate an association between better HF outcomes and care by a cardiologist. It is unclear if previously noted racial differences in cardiology care persist in an ICU setting.

METHODS

Using the Premier database, adult patients admitted to an ICU with a primary discharge diagnosis of HF from 2010 to 2014 were included. Hierarchical logistic regression models were used to determine the association between race and primary ICU care by a cardiologist, adjusting for patient and hospital variables. Cox regression with inverse probability weighting was used to assess the association between cardiology care and in-hospital mortality.

RESULTS

Among 104,835 patients (80.3% Caucasians, 19.7% African Americans), Caucasians had higher odds of care by a cardiologist than African Americans (adjusted odds ratio: 1.42; 95% confidence interval: 1.34 to 1.51). Compared with a noncardiologist, primary ICU care by a cardiologist was associated with higher in-hospital survival (adjusted hazard ratio: 1.20, 95% confidence interval: 1.11 to 1.28). The higher likelihood of survival did not differ by patient race (interaction p = 0.32).

CONCLUSIONS

Among patients admitted to an ICU for HF, African Americans were less likely than Caucasians to receive primary care by a cardiologist. Primary care by a cardiologist was associated with higher survival for both Caucasians and African Americans.

Effect of cardiologist care on 6-month outcomes in patients discharged with heart failure: results from an observational study based on administrative data

OBJECTIVES

To evaluate the effect of cardiologist care on adherence to evidence-based secondary prevention medications, mortality and readmission within 6 months of discharge in patients with heart failure (HF).

DESIGN

Retrospective observational study based on administrative data.

SETTING

Local Healthcare Authority (LHA) of Bologna, one of the largest LHAs of Italy with ~870 000 inhabitants.

PARTICIPANTS

All patients residing in the LHA of Bologna discharged from hospital with a diagnosis of HF between 1 January 2015 and 31 December 2015.

PRIMARY AND SECONDARY OUTCOME MEASURES

Multivariable regression analysis was used to assess the association of inpatient and outpatient cardiologist care with adherence to evidence-based medications, all-cause mortality and hospital readmission (including emergency room visits) within 6 months of discharge.

RESULTS

The study population included 2650 patients (mean age 82.3 years). 340 (12.8%) patients were discharged from cardiology wards, while 635 (24.0%) were seen by a cardiologist during follow-up. Inpatient and outpatient cardiologist care was associated with an increased likelihood of adherence to ACE inhibitors/angiotensin receptor blockers (ACEIs/ARBs), β-blockers and aldosterone antagonists after discharge. The risk of mortality was significantly lower among patients adherent to ACEIs/ARBs and/or β-blockers (-53% and -28%, respectively); the risk of hospital readmission was significantly lower among patients adherent to ACEIs/ARBs (-28%).

CONCLUSIONS

Compared with non-specialist care, cardiologist care improves patient adherence to evidence-based medications and might thus favourably affect mortality and readmission following HF.

Atrial Fibrillation in Women: Risks and Management

Atrial fibrillation (AF) is one of the most commonly occurring arrhythmias and a major modifiable risk factor for stroke, especially in women. While its prevalence is similar in both men and women, women unfortunately face a greater intrinsic AF-related risk of stroke than men do. This is likely one of the reasons that more women than men die from strokes, in addition to experiencing more new and recurrent strokes. Therefore, in women especially, it is imperative to diagnose and treat AF as early as possible. While its unreliable symptom profile and possible intermittent nature can make AF difficult to detect, proactive identification of risk factors and improved detection methods can help. Additionally, the use of risk stratification schemes for anticoagulant therapy, along with the efficacy of nonvitamin K antagonist anticoagulants can enable appropriate therapy to prevent stroke occurrence.

Treating Specialty and Outcomes in Newly Diagnosed Atrial Fibrillation: From the TREAT-AF Study

BACKGROUND

Atrial fibrillation (AF) occurs in many clinical contexts and is diagnosed and treated by clinicians across many specialties. This approach has resulted in treatment variations.

OBJECTIVES

The goal of this study was to evaluate the association between treating specialty and AF outcomes among patients newly diagnosed with AF.

METHODS

Using data from the TREAT-AF (Retrospective Evaluation and Assessment of Therapies in AF) study from the Veterans Health Administration, patients with newly diagnosed, nonvalvular AF between 2004 and 2012 were identified who had at least 1 outpatient encounter with primary care or cardiology within 90 days of the AF diagnosis. Cox proportional hazards regression was used to evaluate the association between treating specialty and AF outcomes.

RESULTS

Among 184,161 patients with newly diagnosed AF (age 70 ± 11 years; 1.7% women; CHA₂DS₂-VASc score 2.6 ± 1.7), 40% received cardiology care and 60% received primary care only. After adjustment for covariates, cardiology care was associated with reductions in stroke (hazard ratio [HR]: 0.91; 95% confidence interval [CI]: 0.86 to 0.96; p < 0.001) and death (HR: 0.89; 95% CI: 0.88 to 0.91; p < 0.0001) and increases in hospitalizations for AF/supraventricular tachycardia (HR: 1.38; 95% CI: 1.35 to 1.42; p < 0.0001) and myocardial infarction (HR: 1.03; 95% CI: 1.00 to 1.05; p < 0.04). The propensity-matched cohort had similar results. In mediation analysis, oral anticoagulation prescription within 90 days of diagnosis may have mediated reductions in stroke but did not mediate reductions in survival.

CONCLUSIONS

In patients with newly diagnosed AF, cardiology care was associated with improved outcomes, potentially mediated by early prescription of oral anticoagulation therapy. Although hypothesis-generating, these data warrant serious consideration and study of health care system interventions at the time of new AF diagnosis.

[Profile of heart failure according to the department of admission. Implications for multidisciplinary management]

INTRODUCTION

Population aging has led to notable changes in heart failure admissions. The aim of this study was to analyse the characteristics, comorbidity, management, and outcomes of this patient population in three hospital departments.

METHODS

An analysis was made of a prospective register that included all patients admitted due to heart failure in Internal Medicine, Cardiology, and Geriatrics over a period of 45 days.

RESULTS

Of a total of 235 patients, 124 (52.7%) were admitted to Internal Medicine, 83 (35.3%) to Cardiology, and 28 (11.9%) to Geriatrics. Mean age was 77.0±20.2 years (Cardiology 71.5±13.5; Internal Medicine 79.2±21.1; Geriatrics 89.9±5.1; p<.001). Preserved ejection fraction was found in 121 (51.5%) patients, and this rate was higher in Internal Medicine (62.5%) and Geriatrics (70.0%) than in Cardiology (31.3%), p<.001. Comorbidity was frequent, especially atrial fibrillation (126; 53.6%), renal disease (89; 37.8%), and chronic obstructive pulmonary disease (65; 27.6%). Infections were the most common decompensating trigger in Internal Medicine (56; 45.2%), and there was often no trigger in Cardiology (45; 54.2%) and Geriatrics (14; 50.0%), p<.0001. The use of renin-angiotensin system inhibitors, beta-blockers, and spironolactone in patients with systolic dysfunction was higher in Cardiology. During the 45 days follow-up, 23 patients (9.9%) were readmitted, which was more frequent in Internal Medicine than in Cardiology (odds ratio 3.0 [95% confidence interval: 1.1 - 8.6], p=.03), with no other significant comparisons.

CONCLUSIONS

Patients admitted due to decompensated heart failure are elderly and often have comorbidities. There are major differences between departments as regards age and clinical profile.

Evaluation of remote dielectric sensing (ReDS) technology-guided therapy for decreasing heart failure re-hospitalizations

OBJECTIVE

We tested whether remote dielectric sensing (ReDS)-directed fluid management reduces readmissions in patients recently hospitalized for heart failure (HF).

BACKGROUND

Pulmonary congestion is the most common cause of worsening HF leading to hospitalization. Accurate remote monitoring of lung fluid volume may guide optimal treatment and prevent re-hospitalization. ReDS technology is a quantitative non-invasive method for measuring absolute lung fluid volume.

METHODS

Patients hospitalized for acute decompensated HF were enrolled during their index admission and followed at home for 90days post-discharge. Daily ReDS readings were obtained using a wearable vest, and were used as a guide to optimizing HF therapy, with a goal of maintaining normal lung fluid content. Comparisons of the number of HF hospitalizations during ReDS-guided HF therapy were made, both to the 90days prior to enrollment and to the 90days following discontinuation of ReDS monitoring.

RESULTS

Fifty patients were enrolled, discharged, and followed at home for 76.9±26.2days. Patients were 73.8±10.3years old, 40% had LVEF above 40%, and 38% were women. Compared to the pre- and post-ReDS periods, there were 87% and 79% reductions in the rate of HF hospitalizations, respectively, during ReDS-guided HF therapy. The hazard ratio between the ReDS and the pre-ReDS period was 0.07 (95% CI [0.01-0.54] p=0.01), and between the ReDS and the post-ReDS period was 0.11 (95% CI [0.014-0.88] p=0.037).

CONCLUSIONS

These findings suggest that ReDS-guided management has the potential to reduce HF readmissions in acute decompensated HF patients recently discharged from the hospital.

The Role of Cardiologists in the Management of Patients with Heart Failure

Heart failure is a complex clinical syndrome with a remarkable impact on health care systems in terms of patients' morbidity and mortality, as well as direct and indirect costs. It is essential to redesign models of care for patients with heart failure that are tailored on personalized health care needs and carried out in the most appropriate setting. There is some debate about the role of cardiologists in the management of patients with heart failure. Indeed, results regarding the inclination of cardiologists' patients to achieve better outcomes are controversial, given the heterogeneity of studies in terms of study design, population, setting and variables considered. The aim of this chapter is to describe and synthesize the current state of knowledge about the role of specialists in the management of patient with heart failure, and to assess whether there is a type of patients for which cardiologists demonstrate the greatest value or a setting of care where they add more benefit.

Readmissions for Heart Failure in Children

OBJECTIVE

To assess the frequency of inpatient 30-day readmission for heart failure in children with cardiomyopathy discharged after an admission for heart failure and the impact of discharge pharmacotherapy on readmissions.

STUDY DESIGN

The Pediatric Health Information System Database was queried for patients ≤18 years of age with an International Classification of Diseases, Ninth Revision code for heart failure (428.xx) or cardiomyopathy (425.xx) discharged from 2004 to 2013. Patients were excluded if they had congenital heart disease, expired on the initial admission, or underwent cardiac surgery. Patient admission characteristics were documented and discharge medications were captured. Frequency of 30-day readmission for heart failure was identified, and mixed effects multivariable logistic regression analysis was performed to determine factors significant for readmission.

RESULTS

A total of 2386 patients met study criteria (52.1% male, median age 8.1 years [IQR 1.2-14.6 years]). Vasoactive medications were used in 70.3% of patients on initial admission, the most common of which was milrinone (62.8%). Angiotensin converting enzyme inhibitors and beta-blockers were given at discharge to 67.4% and 35.9%, respectively. Frequency of 30-day readmission for heart failure was 12.9%. Duration of milrinone or beta-blocker use at discharge and institutional heart failure patient volume were associated with a greater odds of 30-day readmission, whereas mechanical ventilation on initial admission was associated with decreased odds of readmission.

CONCLUSIONS

Pediatric patients with cardiomyopathy and heart failure have a high frequency of heart failure-related 30-day readmission. Outpatient pharmacotherapy at discharge does not appear to influence readmission.

Depression and Multiple Rehospitalizations in Patients With Heart Failure

BACKGROUND

There have been few studies of the effect of depression on rehospitalization in patients with heart failure (HF), and even fewer on its role in multiple rehospitalizations.

HYPOTHESIS

Depression is an independent risk factor for multiple readmissions in patients with HF.

METHODS

A cohort of 662 patients with HF who were discharged alive after hospitalization were interviewed to evaluate symptoms of depression and were followed for 1 year. All-cause readmissions were documented by chart review. A marginal proportional rates model was used to model the effect of depression on the rate of rehospitalization with adjustment for known predictors of HF outcomes.

RESULTS

Depression symptoms predicted multiple readmissions (adjusted hazard ratio [HR]: 1.08, 95% confidence interval [CI]: 1.03-1.13, P = 0.0008). Compared with patients without depression, those who met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for major depression at index were at the highest risk for multiple rehospitalizations (HR: 1.51, 95% CI: 1.15-1.97, P = 0.003).

CONCLUSIONS

Depression is an independent risk factor for multiple all-cause readmissions in patients with HF.

Arginine vasopressin antagonist tolvaptan in the treatment of heart failure: a meta-analysis of randomized controlled trials

BACKGROUND

Tolvaptan can promote water clearance without a deterioration of serum electrolytes in HF patients, but its efficacy and safety were unclear. We performed a meta-analysis of randomized controlled trials (RCTs) to investigate the efficacy and safety of tolvaptan in the treatment of patients hospitalized for heart failure (HF).

METHODS

In Oct 2014, a literature search was started and found all studies conducted from 2000 to 2014. We systematically searched the literature through the MEDLINE database and EMBASE database. Quality assessments were evaluated with Jadad quality scale. Data were extracted considering the characteristics of efficacy and safety designs.

RESULT

Eight RCTs enrolling 13453 participants satisfying the inclusion criteria were finally analyzed. There were significant decreases of body weight (MD=-0.87, 95% CI=-0.94 to -0.80, P<0.001) among all subgroups. Significant increase of serum sodium was found between tolvaptan and placebo groups at day 1 (MD=2.93, 95% CI=2.70 to 3.16, P<0.001) and at day 7 or discharge (MD=3.10, 95% CI=2.78 to 3.42, P<0.001). There were significant differences between the day 1 subgroup and day 7 or discharge subgroup (MD=2.99, 95% CI=2.80 to 3.18, P<0.001). A statistical significant improve in dyspnea (RR=1.10, 95% CI=1.07 to 1.13, P<0.001) and edema (RR=1.05, 95% CI=1.02 to 1.08, P<0.001) occurred, whereas there was no difference in rales (RR=2.38, 95% CI=0.89 to 6.38, P=0.08) and pulmonary congestion (RR=1.02, 95% CI=0.71 to 1.45, P=0.93). Pooled effect measure in the outcome of common adverse event (RR=1.08, 95% CI=0.99 to 1.18, P=0.08) and serious adverse (RR=0.96, 95% CI=0.88 to 1.04, P=0.29) event both show no significant occurrence.

CONCLUSION

Tolvaptan decreases body weight, increases serum sodium, and improves congestion without significant increasing adverse events in HF patients.