Influence of hospitalization for cardiovascular versus noncardiovascular reasons on subsequent mortality in patients with chronic heart failure across the spectrum of ejection fraction

The Effect of Recurrent Heart Failure Hospitalizations on the Risk of Cardiovascular and all-Cause Mortality: a Systematic Review and Meta-Analysis

INTRODUCTION

Heart failure (HF) is a significant worldwide concern due to its substantial impact on mortality rates and recurrent hospitalizations. The relationship between recurrent hospitalizations and mortality in individuals diagnosed with heart failure has been the subject of conflicting findings in previous studies. A meta-analysis was conducted to investigate the association between recurrent heart failure hospitalizations (HFHs) and mortality.

METHODS

We conducted a systematic search across various online databases, such as PubMed, Embase, Web of Science, ProQuest, Scopus, Science Direct, and Google Scholar, to locate studies that examined the connection between recurrent HFHs and cardiovascular (CV) mortality as well as all-cause mortality until January 2023. To evaluate the heterogeneity among the studies, we employed I2 and Cochran's Q test.

RESULTS

In total, 143,867 participants from seven studies were included in the analysis. Recurrent HFHs were found to be strongly associated with elevated risks of both cardiovascular (CV) mortality and all-cause mortality. The pooled hazard ratios (HRs) indicated a non-significant association for CV mortality (HR = 4.28, 95% CI: 0.86-7.71) but a significant association for all-cause mortality (HR = 2.76, 95% CI: 2.05-3.48). Subgroup analyses revealed a reduction in heterogeneity when stratified by factors such as quality score, sample size, hypertension comorbidity, number of recurrent HFHs, and follow-up time. A clear correlation was observed between the frequency of HFH and the mortality risk. Various subgroups, including those with diabetes, atrial fibrillation, and chronic kidney disease, showed significant associations between recurrent HFHs and all-cause mortality. Additionally, recurrent HFHs were significantly associated with CV mortality in subgroups such as heart failure with reduced ejection fraction (HFrEF), atrial fibrillation, and diabetes.

CONCLUSION

This meta-analysis provides evidence of an association between recurrent HFH and elevated risk of both CV mortality and all-cause mortality. The findings consistently indicate that a higher frequency of HFH is strongly associated with an increased likelihood of mortality.

Effects of Sacubitril/Valsartan on All-Cause Hospitalizations in Heart Failure: Post Hoc Analysis of the PARADIGM-HF and PARAGON-HF Randomized Clinical Trials

Importance

Sacubitril/valsartan is indicated to reduce the risk of cardiovascular death and heart failure (HF) hospitalizations in patients with chronic HF. However, many of these patients are older and have multiple comorbidities that increase the risk of hospitalization for causes other than HF.

Objective

To assess the effects of sacubitril/valsartan on hospitalizations of any cause across the spectrum of left ventricular ejection fraction (LVEF).

Design, Setting, and Participants

This post hoc, participant-level, pooled analysis of the PARADIGM-HF (in patients with an LVEF ≤40%) and PARAGON-HF (in patients with an LVEF ≥45%) randomized clinical trials was conducted from February 5, 2024, to April 5, 2024. Participants with chronic HF, New York Heart Association classes II through IV symptoms, and elevated natriuretic peptides were randomized to treatment with either sacubitril/valsartan or a renin-angiotensin system inhibitor (RASi)-enalapril in the PARADIGM-HF trial or valsartan in the PARAGON-HF trial.

Intervention

Sacubitril/valsartan vs RASi (enalapril or valsartan).

Main Outcomes and Measures

The effects of sacubitril/valsartan on time to first investigator-reported all-cause and cause-specific hospitalizations were examined using Cox proportional hazards models, stratified by geographic region and trial. Effect modification by LVEF as a continuous function was examined.

Results

Among 13 194 participants in the PARADIGM-HF and PARAGON-HF trials, mean (SD) patient age was 67 (11) years, 8883 patients (67.3%) were male, and mean (SD) LVEF was 40% (15%). Sacubitril/valsartan significantly reduced the risk of all-cause hospitalization (ACH) compared with RASi over a median (IQR) follow-up period of 2.5 (1.8-3.1) years (hazard ratio [HR], 0.92; 95% CI, 0.88-0.97; P = .002). The incidence rate of first ACH was 25 (95% CI, 24-26) per 100 patient-years in the sacubitril/valsartan arm and 27 (95% CI, 26-28) per 100 patient-years in the RASi arm. The absolute risk reduction (ARR) was 2.1 per 100 patient-years, corresponding to a number needed to treat (NNT) of 48 patient-years of treatment exposure to prevent 1 ACH. Reductions in overall hospitalizations seemed primarily driven by lower rates of cardiac and pulmonary hospitalizations with sacubitril/valsartan. Patients in the 2 treatment arms had similar rates of composite noncardiac hospitalizations. Treatment heterogeneity on ACH by LVEF was observed (P for interaction = .03), with benefits most apparent in patients with an LVEF less than 60% (HR, 0.91; 95% CI, 0.86-0.96), but not in patients with an LVEF of 60% or more (HR, 0.97; 95% CI, 0.86-1.09).

Conclusions and Relevance

In this post hoc pooled analysis of 13 194 patients with chronic HF in the PARADIGM-HF and PARAGON-HF randomized clinical trials, sacubitril/valsartan significantly reduced hospitalization for any reason, with benefits most apparent in patients with an LVEF below normal. This reduction appeared to be principally driven by lower rates of cardiac and pulmonary hospitalizations.

Trial Registrations

ClinicalTrials.gov Identifiers: NCT01035255 (PARADIGM-HF) and NCT01920711 (PARAGON-HF).

Impact of hyper-polypharmacy due to non-cardiovascular medications on long-term clinical outcomes following endovascular treatment for lower limb artery disease: A sub-analysis of the I-PAD Nagano registry

BACKGROUND

Lower limb artery disease (LEAD) is accompanied by multiple comorbidities; however, the effect of hyperpolypharmacy on patients with LEAD has not been established. This study investigated the associations between hyperpolypharmacy, medication class, and adverse clinical outcomes in patients with LEAD.

METHODS

This study used data from a prospective multicenter observational Japanese registry. A total of 366 patients who underwent endovascular treatment (EVT) for LEAD were enrolled in this study. The primary endpoints were major adverse cardiac events (MACE), including myocardial infarction, stroke, and all-cause death.

RESULTS

Of 366 patients with LEAD, 12 with missing medication information were excluded. Of the 354 remaining patients, 166 had hyperpolypharmacy (≥10 medications, 46.9 %), 162 had polypharmacy (5-9 medications, 45.8 %), and 26 had nonpolypharmacy (<5 medications, 7.3 %). Over a 4.7-year median follow-up period, patients in the hyperpolypharmacy group showed worse outcomes than those in the other two groups (log-rank test, p < 0.001). Multivariate analysis revealed that the total number of medications was significantly associated with an increased risk of MACE (hazard ratio per medication increase 1.07, 95 % confidence interval 1.02-1.13 p = 0.012). Although an increased number of non-cardiovascular medications was associated with an elevated risk of MACE, the increase in cardiovascular medications was not statistically significant (log-rank test, p = 0.002 and 0.35, respectively).

CONCLUSIONS

Hyperpolypharmacy due to non-cardiovascular medications was significantly associated with adverse outcomes in patients with LEAD who underwent EVT, suggesting the importance of medication reviews, including non-cardiovascular medications.

Is it time to consider a "time-out" before primary prevention implantable cardioverter-defibrillator placement in currently or recently hospitalized older patients with heart failure?

BACKGROUND

Trajectories of mortality after primary prevention implantable cardioverter-defibrillator (ICD) placement for older patients with heart failure during or soon after acute hospitalization have not been assessed.

OBJECTIVE

The purpose of this study was to compare trajectories of mortality after primary prevention ICD placement during or soon after acute cardiac or non-cardiac hospitalization.

METHODS

We identified older patients with heart failure undergoing primary prevention ICD placement using 20% Medicare data (2008-2018). Placement settings were as follows: (1) Current-H-during current hospitalization, (2) Recent-H-within 90 days of hospitalization, or (3) Chronic stable. Hospitalization was categorized as cardiac vs non-cardiac. Interval mortality rates and hazard ratios (HRs) using Cox regression were estimated at 0-30, 31-90, and 91-365 days after ICD placement.

RESULTS

Of the 61,710 patients (mean age 76 years; 35% female; 85% white), 19% (11,947), 25% (15,147), and 56% (34,616) had ICDs in Current-H, Recent-H, and Chronic stable settings. Mortality rates (per 100 person-years) were highest during 0-30 days, with 38 (34-42) and 22 (19-24) for Current-H and Recent-H, which declined to 21 (20-22) and 16 (15-17) during 91-365 days, respectively. Compared to Chronic stable, HRs were highest during 0-30 days post-ICD placement (5.5 [4.5-6.8] for Current-H and 3.4 [2.8-4.2] for Recent-H) and decreased during 91-365 days (2.0 [1.8-2.1] for Current-H and 1.6 [1.5-1.7] for Recent-H). HR pattens were similar for cardiac and non-cardiac hospitalizations.

CONCLUSION

Primary prevention ICD placement during or soon after hospitalization for any reason was associated with worse mortality with diminishing risks after 90 days. Hospitalization likely identifies a sicker population in whom early mortality with or without ICD may be higher. Our results support careful consideration regarding ICD placement during the 90 days after hospitalization.

Noncardiovascular morbidity and mortality across left ventricular ejection fraction categories following hospitalization for heart failure

INTRODUCTION AND OBJECTIVES

Noncardiovascular events represent a significant proportion of the morbidity and mortality burden in patients with heart failure (HF). However, the risk of these events appears to differ by left ventricular ejection fraction (LVEF) status. In this study, we sought to evaluate the risk of noncardiovascular death and recurrent noncardiovascular readmission by LVEF status following an admission for acute HF.

METHODS

We retrospectively assessed a cohort of 4595 patients discharged after acute HF in a multicenter registry. We evaluated LVEF as a continuum, stratified in 4 categories (LVEF ≤ 40%, 41%-49%, 50%-59%, and ≥ 60%). Study endpoints were the risks of noncardiovascular mortality and recurrent noncardiovascular admissions during follow-up.

RESULTS

At a median follow-up of 2.2 [interquartile range, 0.76-4.8] years, we registered 646 noncardiovascular deaths and 4014 noncardiovascular readmissions. After multivariable adjustment including cardiovascular events as a competing event, LVEF status was associated with the risk of noncardiovascular mortality and recurrent noncardiovascular admissions. When compared with patients with LVEF ≤ 40%, those with LVEF 51%-59%, and especially those with LVEF ≥ 60%, were at higher risk of noncardiovascular mortality (HR, 1.31; 95%CI, 1.02-1,68; P=.032; and HR, 1.47; 95%CI, 1.15-1.86; P=.002; respectively), and at higher risk of recurrent noncardiovascular admissions (IRR, 1.17; 95%CI, 1.02-1.35; P=.024; and IRR, 1.26; 95%CI, 1.11-1.45; P=.001; respectively).

CONCLUSIONS

Following an admission for HF, LVEF status was directly associated with the risk of noncardiovascular morbidity and mortality. Patients with HFpEF were at higher risk of noncardiovascular death and total noncardiovascular readmissions, especially those with LVEF ≥ 60%.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Clinical Profile and Prognosis of Dementia in Patients With Acute Decompensated Heart Failure - From the CURE-HF Registry

BACKGROUND

Acute decompensated heart failure (ADHF) has a poor prognosis and common comorbidities may be contributory. However, evidence for the association between dementia and clinical outcomes in patients with is sparse and it requires further investigation into risk reduction.

METHODS AND RESULTS

We assessed the clinical profiles and outcomes of 1,026 patients (mean age 77.8 years, 43.2% female) with ADHF enrolled in the CURE-HF registry to evaluate the relationship between investigator-reported dementia status and clinical outcomes (all-cause death, cardiovascular (CV) death, non-CV death, and HF hospitalization) over a median follow-up of 2.7 years. In total, dementia was present in 118 (11.5%) patients, who experienced more drug interruptions and HF admissions due to infection than those without dementia (23.8% vs. 13.1%, P<0.01; 11.0% vs. 6.0%, P<0.01, respectively). Kaplan-Meier analysis revealed that dementia patients had higher mortality rates than those without dementia (log-rank P<0.001). After multivariable adjustment for demographics and comorbidities, dementia was significantly associated with an increased risk of death (adjusted hazard ratio, 1.43; 95% confidence interval, 1.06-1.93, P=0.02) and non-CV death (adjusted hazard ratio, 1.65; 95% confidence interval, 1.04-2.62, P=0.03), but no significant associations between dementia and CV death or HF hospitalization were observed (both, P>0.1).

CONCLUSIONS

In ADHF patients dementia was associated with aggravating factors for HF admission and elevated risk of death, primarily non-CV death.

Unplanned Readmissions and Long-Term Mortality Risk After Incident Heart Failure Hospitalisation in Western Australia, 2001-2015

AIMS

To investigate the frequency and predictors of unplanned readmissions after incident heart failure (HF) hospitalisation and the association between readmissions and mortality over two years.

METHODS

We performed a retrospective cohort study using Western Australian morbidity and mortality data to identify all patients, aged 25-94 years, who survived an incident (first-ever) HF hospitalisation (principal diagnosis) between 2001-2015. Ordinal logistic regression models determined the covariates independently associated with unplanned readmission(s). Cox proportional hazards models with time-varying exposures determined the hazard ratios (HR) of one or more readmissions for mortality over two years after incident HF.

RESULTS

Of 18,693 patients, 53.4% male, mean age 74.4 (standard deviation [SD] 13.6) years, 61.3% experienced 32,431 unplanned readmissions (39.7% cardiovascular-related) within two years. Leading readmission causes were HF (19.1%), respiratory diseases (12.6%), and ischaemic heart disease (9.6%). All-cause death occurred in 27.2% of the cohort, and the multivariable-adjusted mortality HR of 1 (versus 0) readmission was 2.5 (95% confidence interval [CI], 2.3-2.7) increasing to 5.0 (95% CI, 4.7-5.4) for 2+ readmissions. The adjusted mortality HR of 1 and 2+ (versus 0) HF-specific readmission was 2.0 (95% CI, 1.8-2.1) and 3.6 (95% CI, 3.2-3.9), respectively. Coexistent cardiovascular and other comorbidities were independently associated with increased readmission and mortality risk.

CONCLUSION

This study underlines the high burden of recurrent unplanned cardiovascular and other readmissions within two years after incident HF hospitalisation, and their additive adverse impact on mortality. Integrated multidisciplinary management of concomitant comorbidities, in addition to HF-targeted treatments, is necessary to improve long-term prognosis in HF patients.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Unplanned 30-day readmissions, comorbidity and impact on one-year mortality following incident heart failure hospitalisation in Western Australia, 2001-2015

BACKGROUND

Readmissions within 30 days after heart failure (HF) hospitalisation is considered an important healthcare quality metric, but their impact on medium-term mortality is unclear within an Australian setting. We determined the frequency, risk predictors and relative mortality risk of 30-day unplanned readmission in patients following an incident HF hospitalisation.

METHODS

From the Western Australian Hospitalisation Morbidity Data Collection we identified patients aged 25-94 years with an incident (first-ever) HF hospitalisation as a principal diagnosis between 2001 and 2015, and who survived to 30-days post discharge. Unplanned 30-day readmissions were categorised by principal diagnosis. Logistic and Cox regression analysis determined the independent predictors of unplanned readmissions in 30-day survivors and the multivariable-adjusted hazard ratio (HR) of readmission on mortality within the subsequent year.

RESULTS

The cohort comprised 18,241 patients, mean age 74.3 ± 13.6 (SD) years, 53.5% males, and one-third had a modified Charlson Comorbidity Index score of ≥ 3. Among 30-day survivors, 15.5% experienced one or more unplanned 30-day readmission, of which 53.9% were due to cardiovascular causes; predominantly HF (31.4%). The unadjusted 1-year mortality was 15.9%, and the adjusted mortality HR in patients with 1 and ≥ 2 cardiovascular or non-cardiovascular readmissions (versus none) was 1.96 (95% confidence interval (CI) 1.80-2.14) and 3.04 (95% CI, 2.51-3.68) respectively. Coexistent comorbidities, including ischaemic heart disease/myocardial infarction, peripheral arterial disease, pneumonia, chronic kidney disease, and anaemia, were independent predictors of both 30-day unplanned readmission and 1-year mortality.

CONCLUSION

Unplanned 30-day readmissions and medium-term mortality remain high among patients who survived to 30 days after incident HF hospitalisation. Any cardiovascular or non-cardiovascular readmission was associated with a two to three-fold higher adjusted HR for death over the following year, and various coexistent comorbidities were important associates of readmission and mortality risk. Our findings support the need to optimize multidisciplinary HF and multimorbidity management to potentially reduce repeat hospitalisation and improve survival.

Longitudinal Trajectories in Renal Function Before and After Heart Failure Hospitalization Among Patients with HFpEF in the PARAGON-HF Trial

AIMS

Worsening renal function may impact long-term outcomes in heart failure (HF). However, little is known about the longitudinal trajectories in renal function in relation to the HF hospitalization or how this high-risk clinical event impacts renal outcomes.

METHODS AND RESULTS

In PARAGON-HF, we evaluated the association between recency of prior HF hospitalization (occurring pre-randomization) and subsequent first renal composite outcome: (1) time to ≥50% decline in eGFR ; (2) development of end stage renal disease (ESRD); or (3) death attributable to renal causes. 2,306 (48.1%) patients had a history of prior HF hospitalization. Incident rates of the renal outcome were highest in those most recently hospitalized and decreased with longer time from last hospitalization. Treatment effect on the renal outcome of sacubitril/valsartan vs. valsartan was similar between patients with (HR 0.43; 95% CI: 0.26 to 0.75) and without (HR 0.63; 95% CI: 0.33 to 1.18; P_interaction = 0.39) a prior history of HF hospitalization and appeared consistent regardless of timing of prior hospitalization for HF (P_interaction =0.39). Serial eGFR measurements leading up to and after a HF hospitalization (occurring during the study period) and estimated eGFR trajectories using repeated measures regression models with restricted cubic splines were also examined. Patients experiencing a post-randomization HF hospitalization had a significant decline in eGFR prior to hospitalization while patients without HF hospitalization experienced a relatively stable eGFR trajectory (p<0.001). A change in the rate of decline of eGFR trajectory was observed 12-months preceding a HF hospitalization, and continued in the post-discharge window to 12 months following hospitalization.

CONCLUSIONS

HF hospitalization denotes increased risk for kidney disease progression which continues following recovery from HF decompensation in patients with HF with preserved ejection fraction.

Prognostic Impact of Cardiovascular versus Noncardiovascular Hospitalizations in Heart Failure with Preserved Ejection Fraction: Insights from TOPCAT

BACKGROUND

Patients with heart failure (HF) with preserved ejection fraction (HFpEF) are commonly admitted to the hospital for both cardiovascular (CV) and noncardiovascular (non-CV) reasons. The prognostic implications of non-CV hospitalizations in this population are not well understood. In this study, we aimed to examine the prognostic implications of hospitalizations due to CV and non-CV reasons in a HFpEF population.

METHODS AND RESULTS

The Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial (TOPCAT) randomized 3,445 stable outpatients with chronic HF with left ventricular ejection fraction >=45% and either prior hospitalization for HF or elevated natriuretic peptides to treatment with spironolactone or placebo. Hospitalizations for any cause were reported by investigators during study follow-up and characterized according to prespecified category causes. This analysis focused on the subset of TOPCAT participants enrolled in the Americas (N=1,767), in which 2,973 hospitalizations were observed in 1,062 subjects (60%) over a mean follow-up of 3.3 years of study follow-up, of which 1,474 (49%) were ascribed to CV causes. Among 1,056 first hospitalizations, 478 (45%) were for CV reasons and 578 (55%) for non-CV reasons. Mortality rates were lowest for participants not hospitalized during the trial (3.2 per 100 patient-years (PY)), but similarly elevated following first hospitalization for CV and non-CV reasons (11.0 per 100 PY vs. 12.6 per 100 PY, respectively, p=0.24). Among those hospitalized for CV reasons, mortality rates were similar following hospitalization for HF and non-CV related reasons (15.2 per 100 PY vs. 12.6 per 100 PY, p=0.23). Recurrent hospitalization, whether due to CV or non-CV causes, was associated with heightened risk for subsequent mortality, with similar death rates following hospitalization twice for CV reasons (18.5 per 100 PY), twice for non-CV reasons (21.6 per 100 PY), or once each for CV and non-CV reasons (18.4 per 100 PY).

CONCLUSION

Among patients with HFpEF, hospitalization for any cause is associated with heightened risk for post-discharge mortality, with even higher risk associated with recurrent hospitalization. Given the high burden of non-CV hospitalizations in this population, targeted management of comorbid medical illness may be critical to reducing morbidity and mortality.

Randomized Controlled Trial Comparing a Multidisciplinary Intervention by a Geriatrician and a Cardiologist to Usual Care after a Heart Failure Hospitalization in Older Patients: The SENECOR Study

Background: The prognosis of older patients after a heart failure (HF) hospitalization is poor. Methods: In this randomized trial, we consecutively assigned 150 patients 75 years old or older with a recent heart failure hospitalization to follow-up by a cardiologist (control) or follow-up by a cardiologist and a geriatrician (intervention). The primary outcome was all-cause hospitalization at a one-year follow-up. Results: All-cause hospitalization occurred in 47 of 75 patients (62.7%) in the intervention group and in 58 of 75 patients (77.3%) in the control group (hazard ratio, 0.67; 95% confidence interval, 0.46 to 0.99; p = 0.046). The number of patients with at least one HF hospitalization was similar in both groups (34.7% in the intervention group vs. 40% in the control group, p = 0.5). There were a total of 236 hospitalizations during the study period. The main reasons for hospitalization were heart failure (38.1%) and infection (14.8%). Mortality was 24.7%. Heart failure was the leading cause of mortality (54.1% of all deaths), without differences between groups. Conclusions: A follow-up by a cardiologist and geriatrician in older patients after an HF hospitalization was superior to a cardiologist’s follow-up in reducing all-cause hospitalization in older patients. (Funded by Beca Primitivo de la Vega, Fundación MAPFRE. ClinicalTrials.gov number, NCT03555318).

Burden of hospitalizations in newly diagnosed heart failure patients in Poland: real world population based study in years 2013-2019

Aims

We aim to report trends in unplanned hospitalizations among newly diagnosed heart failure patients with regard to hospitalizations types and their impact on outcomes.

Methods and results

A nation‐wide study of all citizens in Poland with newly diagnosed heart failure based on ICD‐10 coding who were beneficiaries of either public primary, secondary, or hospital care between 2013 and 2018 in Poland. Between 1 January 2013 and 31 December 2019, there were 1 124 118 newly diagnosed heart failure patients in Poland in both out‐ and inpatient settings. The median observation time was 946 days. As many as 49% experienced at least one acute heart failure hospitalization. Once hospitalized, 44.6% patients experienced at least one all‐cause rehospitalization and 26% another heart failure rehospitalization. The latter had the highest Charlson co‐morbidity index (1.36). The 30 day heart failure readmission rate was 2.96%. Kaplan–Meier analysis revealed very early readmissions (up to 1–7 days) were associated with better survival compared with rehospitalization between 8 and 30 days. All‐cause mortality was related to the number of hospitalization with adjusted estimated hazard ratios: 1.550 (95% CI: 1.52–158) for the second HF hospitalization, 2.158 (95% CI: 2.098–2.219) for third, and 2.788 (95% CI: 2.67–2.91) for the fourth HF hospitalization and subsequent ones, as compared with the first hospitalization.

Conclusions

Among newly diagnosed heart failure patients in Poland between 2013 and 2019, nearly half required at least one unplanned heart failure hospitalization. The risk of death was growing with every other hospital reoccurrence due to heart failure.

The GENICA project – a prospective cohort of heart failure patients with a comprehensive ambulatory approach aiming better outcomes: study protocol

Introduction:

Heart failure (HF) is a syndrome increasing worldwide, and literature shows that the hospitalizations are associated with greater mortality rates. A patient-centered method combined with optimized medical treatment and palliative care may improve HF outcomes, and some advocate a multifaceted approach to achieve a perfect management of chronic HF (CHF).

Objective:

The objective of this study was to present the study protocol of GENICA project which aims to optimize the ambulatory approach of CHF patients, and reduce their re-hospitalization, emergency readmission, and global death rate.

Design:

Prospective cohort including patients referred to HF consultation and collecting sociodemographic, clinical, and analytical variables among others. The outcomes will be mortality, re-hospitalization, and emergency readmission rates. The association between the independent variables and outcomes will be assessed by logistic regression. Comparison between GENICA patients and controls will be made by χ² test. Significance at p level of less than 0.05.

Results:

GENICA will offer a wide range of longitudinal data with evidence that will influence future healthcare of CHF patients at an ambulatory basis.

Discussion:

GENICA will provide practical evidence of real HF patient’s profile and develop workable decision algorithms, which will influence future ambulatory care of CHF. HF patients will be safer at home and will keep stability for longer periods, consuming less health resources and slow the progression of the disease. Being a matched cohort, GENICA benefits from an accuracy similar to that of randomized controlled trials, without the need to perform a rigorous allocation of the intervention. Being prospective there’s no problem about response bias.

Conclusion:

CHF should be approached with a multidisciplinary and multifaceted strategy privileging the outpatient setting, including home monitoring, and GENICA is the paramount protocol enabling this. GENICA may come to show health policy makers that the asset is not to divide and rule, but to converge strategies, therapies, and knowledge.

Nutritional status during hospitalization is associated with the long-term prognosis of patients with heart failure

Aims

The CONtrolling NUTritional status (CONUT) score represents the nutritional status of patients with heart failure (HF). Although high CONUT scores on admission are associated with increased risks of cardiovascular (CV) events in patients with HF, the impact of CONUT changes during hospitalization on their long‐term prognosis is unclear. This study aimed to investigate the impact of CONUT score changes on the clinical outcomes of patients with HF after discharge.

Methods and results

This observational study included 1705 patients hospitalized with HF who were discharged alive. The patients were categorized depending on their CONUT scores at admission and discharge into persistently high, high at admission and normal at discharge, normal at admission and high at discharge, and persistently normal CONUT groups. The primary endpoint was a composite of CV death and readmission for HF after discharge. The primary endpoint occurred in 652 patients (38%) during the median 525 day follow‐up period. Patients with persistently high CONUT scores had the highest composite endpoint rate (log‐rank trend test: P < 0.001). After adjusting for covariates, the hazard ratio for the composite outcome was significantly lower for the patients with high CONUT scores at admission and normal CONUT scores at discharge than that for those with persistently high CONUT scores (hazard ratio: 0.69; 95% confidence interval: 0.49–0.98).

Conclusions

Nutritional status changes in patients with HF that occurred during hospitalization were associated with CV events after discharge. Improving the nutritional status of patients may improve their clinical outcomes.

Greater Pain Severity Is Associated with Worse Outcomes in Patients with Heart Failure

We examined the relationship between pain severity and outcomes in patients with heart failure with reduced ejection fraction (HFrEF) in the HF-ACTION randomized controlled trial. Trends of health-related quality of life (HRQoL) measures grouped by patients' self-reported baseline bodily pain severity were compared using correlation tests, and the association between pain severity and clinical outcomes (including a primary composite endpoint of all-cause mortality and all-cause hospitalization) was assessed using multivariable adjusted analyses. Of the 2310 patients, 22.9% reported no pain, 45.8% very mild/mild, 24.9% moderate, and 6.4% severe/very severe. Greater pain severity was associated with worse HRQoL measures (EuroQoL-5D-3L and Kansas City Cardiomyopathy Questionnaire; both p < 0.0001). Compared to those reporting no pain, patients reporting severe/very severe pain had greater risk for the primary endpoint (adjusted hazard ratio 1.42, 95% confidence interval 1.11-1.83, p = 0.01). In patients with HFrEF, greater pain severity was associated with worse HRQoL and clinical outcomes. Trial Registration: NCT00047437.

Prior Heart Failure Hospitalization, Clinical Outcomes, and Response to Sacubitril/Valsartan Compared With Valsartan in HFpEF

BACKGROUND

The period shortly after hospitalization for heart failure (HF) represents a high-risk window for recurrent clinical events, including rehospitalization or death.

OBJECTIVES

This study sought to determine whether the efficacy and safety of sacubitril/valsartan varies in relation to the proximity to hospitalization for HF among patients with HF with preserved ejection fraction (HFpEF).

METHODS

In this post hoc analysis of PARAGON-HF (Prospective Comparison of ARNI [Angiotensin Receptor-Neprilysin Inhibitor] with ARB [Angiotensin Receptor Blocker] Global Outcomes in HFpEF), we assessed the risk of clinical events and response to sacubitril/valsartan in relation to time from last HF hospitalization among patients with HFpEF (≥45%). The primary outcome was composite total HF hospitalizations and cardiovascular death, analyzed by using a semiparametric proportional rates method, stratified by geographic region.

RESULTS

Of 4,796 validly randomized patients in PARAGON-HF, 622 (13%) were screened during hospitalization or within 30 days of prior hospitalization, 555 (12%) within 31 to 90 days, 435 (9%) within 91 to 180 days, and 694 (14%) after 180 days; 2,490 (52%) were never previously hospitalized. Over a median follow-up of 35 months, risk of total HF hospitalizations and cardiovascular death was inversely and nonlinearly associated with timing from prior HF hospitalization (p < 0.001). There was a gradient in relative risk reduction in primary events with sacubitril/valsartan from patients hospitalized within 30 days (rate ratio: 0.73; 95% confidence interval: 0.53 to 0.99) to patients never hospitalized (rate ratio: 1.00; 95% confidence interval: 0.80 to 1.24; trend in relative risk reduction: pinteraction = 0.15). With valsartan alone, the rate of total primary events was 26.7 (≤30 days), 24.2 (31 to 90 days), 20.7 (91 to 180 days), 15.7 (>180 days), and 7.9 (not previously hospitalized) per 100 patient-years. Compared with valsartan, absolute risk reductions with sacubitril/valsartan were more prominent in patients enrolled early after hospitalization: 6.4% (≤30 days), 4.6% (31 to 90 days), and 3.4% (91 to 180 days), whereas no risk reduction was observed in patients screened >180 days or who were never hospitalized (trend in absolute risk reduction: pinteraction = 0.050).

CONCLUSIONS

Recent hospitalization for HFpEF identifies patients at high risk for near-term clinical progression. In the PARAGON-HF trial, the relative and absolute benefits of sacubitril/valsartan compared with valsartan in HFpEF appear to be amplified when initiated in the high-risk window after hospitalization and warrant prospective validation. (PARAGON-HF; NCT01920711).

Beta-blockers and inhibitors of the renin-angiotensin aldosterone system for chronic heart failure with preserved ejection fraction

BACKGROUND

Beta-blockers and inhibitors of the renin-angiotensin aldosterone system improve survival and reduce morbidity in people with heart failure with reduced left ventricular ejection fraction. There is uncertainty whether these treatments are beneficial for people with heart failure with preserved ejection fraction and a comprehensive review of the evidence is required.

OBJECTIVES

To assess the effects of beta-blockers, angiotensin converting enzyme inhibitors, angiotensin receptor blockers, angiotensin receptor neprilysin inhibitors, and mineralocorticoid receptor antagonists in people with heart failure with preserved ejection fraction.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and two clinical trial registries on 25 July 2017 to identify eligible studies. Reference lists from primary studies and review articles were checked for additional studies. There were no language or date restrictions.

SELECTION CRITERIA

We included randomised controlled trials with a parallel group design enrolling adult participants with heart failure with preserved ejection fraction, defined by a left ventricular ejection fraction of greater than 40 percent.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies for inclusion and extracted data. The outcomes assessed included cardiovascular mortality, heart failure hospitalisation, hyperkalaemia, all-cause mortality and quality of life. Risk ratios (RR) and, where possible, hazard ratios (HR) were calculated for dichotomous outcomes. For continuous data, mean difference (MD) or standardised mean difference (SMD) were calculated. We contacted trialists where neccessary to obtain missing data.

MAIN RESULTS

37 randomised controlled trials (207 reports) were included across all comparisons with a total of 18,311 participants.Ten studies (3087 participants) investigating beta-blockers (BB) were included. A pooled analysis indicated a reduction in cardiovascular mortality (15% of participants in the intervention arm versus 19% in the control arm; RR 0.78; 95% confidence interval (CI) 0.62 to 0.99; number needed to treat to benefit (NNTB) 25; 1046 participants; 3 studies). However, the quality of evidence was low and no effect on cardiovascular mortality was observed when the analysis was limited to studies with a low risk of bias (RR 0.81; 95% CI 0.50 to 1.29; 643 participants; 1 study). There was no effect on all-cause mortality, heart failure hospitalisation or quality of life measures, however there is uncertainty about these effects given the limited evidence available.12 studies (4408 participants) investigating mineralocorticoid receptor antagonists (MRA) were included with the quality of evidence assessed as moderate. MRA treatment reduced heart failure hospitalisation (11% of participants in the intervention arm versus 14% in the control arm; RR 0.82; 95% CI 0.69 to 0.98; NNTB 41; 3714 participants; 3 studies; moderate-quality evidence) however, little or no effect on all-cause and cardiovascular mortality and quality of life measures was observed. MRA treatment was associated with a greater risk of hyperkalaemia (16% of participants in the intervention group versus 8% in the control group; RR 2.11; 95% CI 1.77 to 2.51; 4291 participants; 6 studies; high-quality evidence).Eight studies (2061 participants) investigating angiotensin converting enzyme inhibitors (ACEI) were included with the overall quality of evidence assessed as moderate. The evidence suggested that ACEI treatment likely has little or no effect on cardiovascular mortality, all-cause mortality, heart failure hospitalisation, or quality of life. Data for the effect of ACEI on hyperkalaemia were only available from one of the included studies.Eight studies (8755 participants) investigating angiotensin receptor blockers (ARB) were included with the overall quality of evidence assessed as high. The evidence suggested that treatment with ARB has little or no effect on cardiovascular mortality, all-cause mortality, heart failure hospitalisation, or quality of life. ARB was associated with an increased risk of hyperkalaemia (0.9% of participants in the intervention group versus 0.5% in the control group; RR 1.88; 95% CI 1.07 to 3.33; 7148 participants; 2 studies; high-quality evidence).We identified a single ongoing placebo-controlled study investigating the effect of angiotensin receptor neprilysin inhibitors (ARNI) in people with heart failure with preserved ejection fraction.

AUTHORS' CONCLUSIONS

There is evidence that MRA treatment reduces heart failure hospitalisation in heart failure with preserverd ejection fraction, however the effects on mortality related outcomes and quality of life remain unclear. The available evidence for beta-blockers, ACEI, ARB and ARNI is limited and it remains uncertain whether these treatments have a role in the treatment of HFpEF in the absence of an alternative indication for their use. This comprehensive review highlights a persistent gap in the evidence that is currently being addressed through several large ongoing clinical trials.

Aetiology, timing and clinical predictors of early vs. late readmission following index hospitalization for acute heart failure: insights from ASCEND-HF

AIMS

Patients hospitalized for heart failure (HF) are at high risk for 30-day readmission. This study sought to examine the timings and causes of readmission within 30 days of an HF hospitalization.

METHODS AND RESULTS

Timing and cause of readmission in the ASCEND-HF (Acute Study of Clinical Effectiveness of Nesiritide and Decompensated Heart Failure) trial were assessed. Early and late readmissions were defined as admissions occurring within 0-7 days and 8-30 days post-discharge, respectively. Patients who died in hospital or remained hospitalized at day 30 post-randomization were excluded. Patients were compared by timing and cause of readmission. Logistic and Cox proportional hazards regression analyses were used to identify independent risk factors for early vs. late readmission and associations with 180-day outcomes. Of the 6584 patients (92%) in the ASCEND-HF population included in this analysis, 751 patients (11%) were readmitted within 30 days for any cause. Overall, 54% of readmissions were for non-HF causes. The median time to rehospitalization was 11 days (interquartile range: 6-18 days) and 33% of rehospitalizations occurred by day 7. Rehospitalization within 30 days was independently associated with increased risk for 180-day all-cause death [hazard ratio (HR) 2.38, 95% confidence interval (CI) 1.93-2.94; P < 0.001]. Risk for 180-day all-cause death did not differ according to early vs. late readmission (HR 0.99, 95% CI 0.67-1.45; P = 0.94).

CONCLUSIONS

In this hospitalized HF trial population, a significant majority of 30-day readmissions were for non-HF causes and one-third of readmissions occurred in the first 7 days. Early and late readmissions within the 30-day timeframe were associated with similarly increased risk for death. Continued efforts to optimize multidisciplinary transitional care are warranted to improve rates of early readmission.

Causes and Predictors of In-Hospital Mortality in Patients Admitted with or for Heart Failure at a Tertiary Hospital in Brazil

Background

Although heart failure (HF) has high morbidity and mortality, studies in Latin America on causes and predictors of in-hospital mortality are scarce. We also do not know the evolution of patients with compensated HF hospitalized for other reasons.

Objective

To identify causes and predictors of in-hospital mortality in patients hospitalized for acute decompensated HF (ADHF), compared to those with HF and admitted to the hospital for non-HF related causes (NDHF).

Methods

Historical cohort of patients hospitalized in a public tertiary hospital in Brazil with a diagnosis of HF identified by the Charlson Comorbidity Index (CCI).

Results

A total of 2056 patients hospitalized between January 2009 and December 2010 (51% men, median age of 71 years, length of stay of 15 days) were evaluated. There were 17.6% of deaths during hospitalization, of which 58.4% were non-cardiovascular (63.6% NDHF vs 47.4% ADHF, p = 0.004). Infectious causes were responsible for most of the deaths and only 21.6% of the deaths were attributed to HF. The independent predictors of in-hospital mortality were similar between the groups and included: age, length of stay, elevated potassium, clinical comorbidities, and CCI. Renal insufficiency was the most relevant predictor in both groups.

Conclusion

Patients hospitalized with HF have high in-hospital mortality, regardless of the primary reason for hospitalization. Few deaths are directly attributed to HF; Age, renal function and levels of serum potassium, length of stay, comorbid burden and CCI were independent predictors of in-hospital death in a Brazilian tertiary hospital.

Nutritional screening based on the controlling nutritional status (CONUT) score at the time of admission is useful for long-term prognostic prediction in patients with heart failure requiring hospitalization

The objective of the study was to clarify whether controlling nutritional status (CONUT) is useful for predicting the long-term prognosis of patients hospitalized with heart failure (HF). A total of 482 (57.5%) HF patients from the Ibaraki Cardiovascular Assessment Study-HF (N = 838) were enrolled (298 men, 71.7 ± 13.6 years). At admission, blood samples were collected and nutritional status assessed using CONUT. CONUT scores were defined as follows: 0-1, normal; 2-4, light; 5-8, moderate; and 9-12, severe undernutrition. Accordingly, 352 (73%) patients had light-to-severe nutritional disturbances. In the follow-up period [median 541.5 (range 354-786) days], 109 deaths were observed. A Kaplan-Meier analysis revealed that all-cause deaths occurred more frequently in HF patients with nutritional disturbances [n = 93 (26.4%)] than in those with normal nutrition [n = 16 (12.3%); log-rank p < 0.001]. The Cox proportional hazard analyses revealed that a per point increase in the CONUT score was associated with an increased risk of all-cause death (hazard ratio 1.142; 95% confidence interval, 1.044-1.249) after controlling simultaneously for age, sex, previous history of HF hospitalization, log brain natriuretic peptide, and use of therapeutic agents at admission (tolvaptan and aldosterone antagonists). This study suggests that nutritional screening using CONUT scores is helpful in predicting the long-term prognosis of patients hospitalized with HF in a multicenter registry setting.

Real world heart failure epidemiology and outcome: A population-based analysis of 88,195 patients

BACKGROUND

Heart failure (HF) is frequent and its prevalence is increasing. We aimed to evaluate the epidemiologic features of HF patients, the 1-year follow-up outcomes and the independent predictors of those outcomes at a population level.

METHODS AND RESULTS

Population-based longitudinal study including all prevalent HF cases in Catalonia (Spain) on December 31st, 2012. Patients were divided in 3 groups: patients without a previous HF hospitalization, patients with a remote (>1 year) HF hospitalization and patients with a recent (<1 year) HF admission. We analyzed 1year all-cause and HF hospitalizations, and all-cause mortality. Logistic regression was used to identify the independent predictors of each of those outcomes. A total of 88,195 patients were included. Mean age was 77 years, 55% were women. Comorbidities were frequent. Fourteen percent of patients had never been hospitalized, 71% had a remote HF hospitalization and 15% a recent hospitalization. At 1-year follow-up, all-cause and HF hospitalization were 53% and 8.8%, respectively. One-year all-cause mortality rate was 14%, and was higher in patients with a recent HF hospitalization (24%). The presence of diabetes mellitus, atrial fibrillation or chronic kidney disease was independently associated with all-cause and HF hospitalization and all-cause mortality. Hospital admissions and emergency department visits the previous year were also found to be independently associated with the three study outcomes.

CONCLUSIONS

Outcomes are different depending on the HF population studied. Some comorbidity, an all-cause hospitalization or emergency department visit the previous year were associated with a worse outcome.

Nutritional status is related to heart failure severity and hospital readmissions in acute heart failure

BACKGROUND

Malnutrition is common in hospitalized heart failure (HF) patients and predicts adverse outcomes. The relationship between nutritional status and outcomes in HF has been partially studied. Our aim was to determine the relationship between the nutritional status and the long-term prognosis in patients hospitalized for acute HF.

METHODS

We analyzed 145 patients admitted consecutively to a cardiology department for acute HF. Nutritional status was measured with the CONUT method, a validated scale based on laboratory testing (albumin; cholesterol; lymphocytes) during hospitalization. Patients were classified as normal, mildly, moderately or severely malnourished, and followed in a HF clinic.

RESULTS

The mean aged of the population was 69.6years and 61% of patients were men, 54 had previous HF hospitalization (37%), 112 had hypertension (77%), 67 were diabetic (46%) and 135 had class III or IV NYHA (93%). Forty eight patients (33%) had normal nutritional status, 75 were mildly malnourished (52%), and 22 were moderately or severely malnourished (15%). Age, sex, hypertension, diabetes mellitus, or NYHA class among the three groups were not statistically different. ProBNP was directly correlated with the nutritional status. After a mean follow-up of 326days, 27 had a HF hospitalization (19%) and 61 (42,1%) had a hospitalization not related to HF. The analysis by Kaplan-Meier curves and log rank test showed that these differences were statistically significant.

CONCLUSION

Malnutrition is common in patients hospitalized for HF. It seems to be a mediator of disease progression and determines a poor prognosis especially in advanced stages.

Burden of Recurrent Hospitalizations Following an Admission for Acute Heart Failure: Preserved Versus Reduced Ejection Fraction

INTRODUCTION AND OBJECTIVES

Heart failure with preserved ejection fraction and reduced ejection fraction share a high mortality risk. However, differences in the rehospitalization burden over time between these 2 entities remains unclear.

METHODS

We prospectively included 2013 consecutive patients discharged for acute heart failure. Of these, 1082 (53.7%) had heart failure with preserved ejection fraction and 931 (46.2%) had heart failure with reduced ejection fraction. Cox and negative binomial regression methods were used to evaluate the risks of death and repeat hospitalizations, respectively.

RESULTS

At a median follow-up of 2.36 years (interquartile range: 0.96-4.65), 1018 patients (50.6%) died, and 3804 readmissions were registered in 1406 patients (69.8%). Overall, there were no differences in mortality between heart failure with preserved ejection fraction and heart failure with reduced ejection fraction (16.7 vs 16.1 per 100 person-years, respectively; P=0794), or all-cause repeat hospitalization rates (62.1 vs 62.2 per 100 person-years, respectively; P=.944). After multivariable adjustment, and compared with patients with heart failure with reduced ejection fraction, patients with heart failure with preserved ejection fraction exhibited a similar risk of all-cause readmissions (incidence rate ratio=1.04; 95%CI, 0.93-1.17; P=.461). Regarding specific causes, heart failure with preserved ejection fraction showed similar risks of cardiovascular and heart failure-related rehospitalizations (incidence rate ratio=0.93; 95%CI, 0.82-1.06; P=.304; incidence rate ratio=0.96; 95% confidence interval, 0.83-1.13; P=.677, respectively), but had a higher risk of noncardiovascular readmissions (incidence rate ratio=1.24; 95%CI, 1.04-1.47; P=.012).

CONCLUSIONS

Following an admission for acute heart failure, patients with heart failure with preserved ejection fraction have a similar rehospitalization burden to those with heart failure with reduced ejection fraction. However, patients with heart failure with preserved ejection fraction are more likely to be readmitted for noncardiovascular causes.

Epidemiology of Heart Failure

Heart failure (HF) is a major public health problem affecting more than 23 million patients worldwide. Incidence and prevalence rates vary significantly according to the source of data, but both increase with advancing age reaching, in the very elderly, prevalence rates that represent a challenge for the organization of medical care systems. Even if evidence-based treatments have improved prognosis in some patients with HF, patients with HF still need to be carefully characterized, described, and treated. Hospitalizations for acute HF are frequent and costly accounting for the vast majority of HF-related costs.

Short and long term survival following hospitalization with a primary versus non-primary diagnosis of acute heart failure

OBJECTIVE

To compare the short-term and long-term outcomes of patients hospitalized with a primary diagnosis of acute heart failure (AHF) versus AHF associated with an alternative principal diagnosis.

METHODS

The Israel nationwide Heart Failure (HF) survey examined prospectively 4102 consecutive HF patients admitted to all 25 public hospitals in the country. This study focused on 2302 patients hospitalized with a diagnosis of AHF. In 1594 patients, AHF was the principal diagnosis of hospitalization. In 708 patients, AHF was a secondary diagnosis with an alternative principal diagnosis of hospitalization.

RESULTS

Patients with secondary diagnosis of AHF were younger with an overall less comorbidities except for concomitant ischemic heart disease. Despite that, hospital duration was longer (median days (Q1-Q3), 4 (3-7), and 6(4-9), respectively, P<0.001) and in-hospital mortality was higher (7.2% vs. 4.9%, p-value=0.03) among patients with a secondary diagnosis of AHF. Consistently, the age and sex adjusted OR of secondary diagnosis of AHF for in-hospital mortality was 1.76 (C.I. 1.2-2.54; p-val=0.003). However, long-term follow-up showed a risk-reversal wherein the adjusted risk for 10-year mortality was significantly lower among those hospitalized with a secondary vs. primary diagnosis of AHF (HR=0.88, C.I. 0.79-0.99; p-val=0.04).

CONCLUSIONS

While hospitalization with secondary diagnosis of AHF is associated with a higher risk for in-hospital mortality in comparison to hospitalization with principal diagnosis of AHF, it is independently associated with a lower risk for 10-year mortality. These findings may have implications for short and long term risk stratification after AHF hospitalization.