Trends and characteristics of hospitalizations for heart failure in the United States from 2004 to 2018

Global epidemiology of heart failure

Heart failure (HF) is a heterogeneous clinical syndrome marked by substantial morbidity and mortality. The natural history of HF is well established; however, epidemiological data are continually evolving owing to demographic shifts, advances in treatment and variations in access to health care. Although the incidence of HF has stabilized or declined in high-income countries over the past decade, its prevalence continues to increase, driven by an ageing population, an increase in risk factors, the effectiveness of novel therapies and improved survival. This rise in prevalence is increasingly noted among younger adults and is accompanied by a shift towards HF with preserved ejection fraction. However, disparities exist in our epidemiological understanding of HF burden and progression in low-income and middle-income countries owing to the lack of comprehensive data in these regions. Therefore, the current epidemiological landscape of HF highlights the need for periodic surveillance and resource allocation tailored to geographically vulnerable areas. In this Review, we highlight global trends in the burden of HF, focusing on the variations across the spectrum of left ventricular ejection fraction. We also discuss evolving population-based estimates of HF incidence and prevalence, the risk factors for and aetiologies of this disease, and outcomes in different geographical regions and populations.

Long-Term Risk of Hospitalization and Death in Patients With Mechanical Prosthetic Heart Valves

Mechanical prosthetic heart valves (MPHVs) are commonly used for valvular heart disease in patients with a long life expectancy. Few longitudinal data on the specific causes of hospitalization in patients with MPHV are available. We investigated the risk of all-cause hospitalization and mortality in patients with MPHV. We performed a prospective, observational, ongoing study including consecutive patients with MPHVs who were referred to the atherothrombosis outpatient clinic of the Policlinico Umberto I of Rome for the vitamin K antagonist management. Study end points were all-cause, cardiovascular hospitalization, and overall mortality. We included 305 patients with MPHV (38.4% women, median age 60.2 years). The site of MPHV was aortic in 53.5%, mitral in 29.5%, and mitroaortic in 17%. During a median follow-up of 57.3 months, 142 hospitalizations occurred (8.16 per 100 person-years). The most common causes of hospitalization were cardiovascular disease (3.62 per 100 person-years), infections, surgery, and bleeding. The predictors of cardiovascular hospitalization were atrial fibrillation (hazard ratio [HR] 1.75, 95% confidence interval [CI] 1.04 to 2.95, p = 0.035), previous stroke/transient ischemic attack (HR 2.96, 95% CI 1.59 to 5.48, p = 0.001), and peripheral artery disease (HR 2.42, 95% CI 1.09 to 5.36, p = 0.030). During a median follow-up of 97.2 months, 61 deaths occurred (2.43 per 100 person-years). Age was directly associated with the risk of death (HR 1.088, 95% CI 1.054 to 1.122, p <0.001), whereas the time in therapeutic range higher than the median was inversely associated (HR 0.436, 95% CI 0.242 to 0.786, p = 0.006). In conclusion, patients with MPHV had a high incidence of hospitalizations, especially cardiovascular-related. The incidence of death is high; however, it may be decreased by maintaining a good quality of anticoagulation.

Predicting in-hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach

Existing risk prediction models for hospitalized heart failure patients are limited. We identified patients hospitalized with a diagnosis of heart failure between 7 May 2013 and 26 April 2022 from a large academic, quaternary care medical centre (training cohort). Demographics, medical comorbidities, vitals, and labs were collected and were used to construct random forest machine learning models to predict in-hospital mortality. Models were compared with logistic regression, and to commonly used heart failure risk scores. The models were subsequently validated in patients hospitalized with a diagnosis of heart failure from a second academic, community medical centre (validation cohort). The entire cohort comprised 21 802 patients, of which 14 539 were in the training cohort and 7263 were in the validation cohort. The median age (25th-75th percentile) was 70 (58-82) for the entire cohort, 43.2% were female, and 6.7% experienced inpatient mortality. In the overall cohort, 7621 (35.0%) patients had heart failure with reduced ejection fraction (EF ≤ 40%), 1271 (5.8%) had heart failure with mildly reduced EF (EF 41-49%), and 12 910 (59.2%) had heart failure with preserved EF (EF ≥ 50%). Random forest models in the validation cohort demonstrated a c-statistic (95% confidence interval) of 0.96 (0.95-0.97), sensitivity (SN) of 87.3%, and specificity (SP) of 90.6% for the prediction of in-hospital mortality. Models for those with HFrEF demonstrated a c-statistic of 0.96 (0.94-0.98), SN 88.2%, and SP 91.0%, and those for patients with HFpEF showed a c-statistic of 0.95 (0.93-0.97), SN 87.4%, and SP 89.5% for predicting in-hospital mortality. The random forest model significantly outperformed logistic regression (c-statistic 0.87, SN 75.9%, and SP 86.9%), and current existing risk scores including the Acute Decompensated Heart Failure National Registry risk score (c-statistic of 0.70, SN 69%, and SP 62%), and the Get With the Guidelines-Heart Failure risk score (c-statistic 0.69, SN 67%, and SP 63%); P < 0.001 for comparison. Machine learning models built from commonly recorded patient information can accurately predict in-hospital mortality among patients hospitalized with a diagnosis of heart failure.

Management and Outcomes of Acute Heart Failure Hospitalizations in Japan

BACKGROUND

Heart failure (HF) is a global burden on healthcare systems, but the literature regarding nationwide trends in the care and outcomes of HF hospitalization in Japan is limited. Therefore, we aimed to investigate the trends in patient characteristics, treatment patterns, and outcomes of patients hospitalized with acute HF.

METHODS AND RESULTS

We used data from the Japanese Registry of All Cardiac and Vascular Diseases and the Diagnosis Procedure Combination database between April 2012 and March 2021 to analyze 840,357 patients aged ≥18 years who were hospitalized with an acute HF diagnosis. Over the study period (2012-2020), the mean (±standard deviation) age increased from 78.9 (±11.9) years to 80.9 (±11.8) years (P for trend <0.001), the proportion of female patients decreased from 48.7% to 47.5% (P for trend=0.02), crude in-hospital mortality rate decreased from 11.5% to 10.9%, and 30-day HF readmissions decreased from 7.4% to 7.0% (both P for trend <0.001). The reduction in outcomes was more apparent in the older age groups. The standardized outcomes demonstrated the same trends as the crude outcomes.

CONCLUSIONS

Our nationwide hospital admission analysis clarified that patients hospitalized with acute HF were getting older, but mortality and readmission rates also decreased, especially in older patients during the 2010s.

Heart Failure Statistics 2024 Update: A Report From the Korean Society of Heart Failure

Background and Objectives

The number of people with heart failure (HF) is increasing worldwide, and the social burden is increasing as HF has high mortality and morbidity. We aimed to provide updated trends on the epidemiology of HF in Korea to shape future social measures against HF.

Methods

We used the National Health Information Database of the National Health Insurance Service to determine the prevalence, incidence, hospitalization rate, mortality rate, comorbidities, in-hospital mortality, and healthcare cost of patients with HF from 2002 to 2020 in Korea.

Results

The prevalence of HF in the total Korean population rose from 0.77% in 2002 to 2.58% (1,326,886 people) in 2020. Although the age-standardized incidence of HF decreased over the past 18 years, the age-standardized prevalence increased. In 2020, the hospitalization rate for any cause in patients with HF was 1,166 per 100,000 persons, with a steady increase from 2002. In 2002, the HF mortality was 3.0 per 100,000 persons, which rose to 15.6 per 100,000 persons in 2020. While hospitalization rates and in-hospital mortality for patients with HF increased, the mortality rate for patients with HF did not (5.8% in 2020), and the one-year survival rate from the first diagnosis of HF improved. The total healthcare costs for patients with HF were approximately $2.4 billion in 2020, a 16-fold increase over the $0.15 billion in 2002.

Conclusions

The study's results underscore the growing socioeconomic burden of HF in Korea, driven by an aging population and increasing HF prevalence.

Trends in sleep apnea and heart failure related mortality in the United States from 1999 to 2019

National estimates of deaths related to both heart failure (HF) and sleep apnea (SA) are not known. We evaluated the trends in HF and SA related mortality using the CDC-WONDER database in adults aged ≥25 years in the US. All deaths related to HF and SA as contributing or underlying causes of death were queried. Between 1999 and 2019, there were a total of 6,484,486 deaths related to HF, 204,824 deaths related to SA, and 53,957 deaths related to both. There was a statistically significant increase in the age-adjusted mortality rate (AAMR) for both SA-related (average annual percent change [AAPC] 8.2%) and combined HF and SA- related (AAPC 10.1 %) deaths. Men had consistently higher AAMRs compared with women, and both groups had a similar increasing trend in AAMR. Non-Hispanic (NH) Black individuals had the highest HF and SA-related AAMR, followed by NH White and Hispanic/Latino individuals. Adults aged >75 years consistently had the highest AAMR with the steepest increase (AAPC 11.1%). In conclusion, HF and SA-related mortality has significantly risen over the past two decades with the elderly, men, and NH Black at disproportionately higher risk.

Emerging devices for heart failure management

There have been significant advances in the treatment of heart failure (HF) in recent years, driven by significant strides in guideline-directed medical therapy (GDMT). Despite this, HF is still associated with high levels of morbidity and mortality, and most patients do not receive optimal medical therapy. In conjunction with the improvement of GDMT, novel device therapies have been developed to better treat HF. These devices include technology capable of remotely monitoring HF physiology, devices that modulate the autonomic nervous system, and those that structurally change the heart with the ultimate aim of addressing the root causes of HF physiology As these device therapies gradually integrate into the fabric of HF patient care, it becomes increasingly important for modern cardiologists to become familiar with them. Hence, the objective of this review is to shed light on currently emerging devices for the treatment of HF.

Khan S, Khan MS. Disparities in heart failure between White, Black, and Hispanic young adults: insights from the National Health and Nutrition Examination Survey

BACKGROUND

The prevalence of heart failure (HF) is increasing among young adults in the United States with pervasive racial and ethnic differences in this population.

OBJECTIVE

To evaluate contemporary associations between race and ethnicity, clinical comorbidities, and outcomes among young to middle-aged adults with HF.

METHODS

A retrospective analysis was performed using the National Health and Nutrition Examination Survey. All participants with a self-report of HF aged 20-64 years from 2005 to 2018 were included and stratified by race and ethnicity [non-Hispanic (NH) Whites, NH Blacks, and Hispanics]. Data on baseline characteristics including age, sex, marital status, citizenship, education level, body mass index, insurance, waist circumference, cigarette smoking, marijuana use, and relevant clinical comorbidities were included. Weighted logistic regression was performed to estimate adjusted odds ratios (aOR) to determine the association of race and ethnicity with HF. Cox proportional-hazards models were used to assess the association of race and ethnicity with all-cause and cardiac mortality.

RESULTS

A total of 1,940,447 young to middle-aged adults had self-reported HF between 2005 and 2018, of whom 61% were NH White, 40% were NH Black, and 22% were Hispanic. When compared with NH White adults, NH Black adults had higher odds of HF adjusted for age, sex, insurance status, marital status, education level, citizenship status, and clinical comorbidities (adjusted aOR 2.63, 95% CI: 1.71-4.05, p < 0.001). There was no significant difference in the odds of HF between Hispanic and NH White adults (aOR 1.18, 95% CI: 0.64-2.18, p = 0.585). NH Black adults had higher mean systolic and diastolic blood pressure, and a comparable or lower burden of cardiovascular and non-cardiovascular clinical comorbidities compared with NH White and Hispanic adults. No statistical significance was noted by race and ethnicity for all-cause and cardiac mortality during a follow-up of 5 years.

CONCLUSION

NH Black young to middle-aged adults were more likely to have HF which may be related to higher blood pressure given the largely similar burden of clinically relevant comorbidities compared with other racial and ethnic groups.

Exploring Heart Failure Mortality Trends and Disparities in Women: A Retrospective Cohort Analysis

Heart failure (HF) remains a significant cause of morbidity and mortality in women. Population-level analyses shed light on existing disparities and promote targeted interventions. We evaluated HF-related mortality data in women in the United States to identify disparities based on race/ethnicity, urbanization level, and geographic region. We conducted a retrospective cohort analysis utilizing the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research database to identify HF-related mortality in the death files from 1999 to 2020. Age-adjusted HF mortality rates were standardized to the 2000 US population. We fit log-linear regression models to analyze mortality trends. Age-adjusted HF mortality rates in women have decreased significantly over time, from 97.95 in 1999 to 89.19 in 2020. Mortality mainly downtrended from 1999 to 2012, followed by a significant increase from 2012 to 2020. Our findings revealed disparities in mortality rates based on race and ethnicity, with the most affected population being non-Hispanic Black (age-adjusted mortality rates [AAMR] 90.36), followed by non-Hispanic White (AAMR 83.25), American Indian/Alaska Native (AAMR 64.27), and Asian/Pacific Islander populations (AAMR 37.46). We also observed that nonmetropolitan (AAMR 103.36) and Midwestern (AAMR 90.45) regions had higher age-adjusted mortality rates compared with metropolitan (AAMR 78.43) regions and other US census regions. In conclusion, significant differences in HF mortality rates were observed based on race/ethnicity, urbanization level, and geographic region. Disparities in HF outcomes persist and efforts to reduce HF-related mortality rates should focus on targeted interventions that address social determinants of health, including access to care and socioeconomic status.

A National Perspective on the Impact of the COVID-19 Pandemic on Heart Failure Hospitalizations in the United States

Nationwide data of the COVID-19 pandemic's impact on heart failure (HF) hospitalizations is lacking. We conducted this study to elucidate the impact of the COVID-19 pandemic on HF hospitalizations. Additionally, we assessed the differences in hospitalization characteristics during the pandemic and the impact that a concurrent diagnosis of COVID-19 has on various outcomes and predictors of inpatient mortality among patients admitted for HF. The National Inpatient Sample (NIS) database was queried for all hospitalizations with a primary diagnosis of HF between 2017 and 2020. Monthly HF hospitalizations were trended longitudinally over this period. Beginning April 1, 2020, concurrent COVID-19 infections were identified. Subsequently, we stratified HF hospitalizations between April 2020 and December 2020 (HF-2020) based on if concomitant COVID-19 was diagnosed, forming the HF-COVID+ve and HF-COVID-ve groups respectively. HF-2020 was also compared with prepandemic HF hospitalizations between April 2019 and December 2019 (HF-2019). Baseline characteristics were compared, and adjusted outcomes were obtained. During the initial COVID-19 surge in April 2020, HF admissions were reduced by 47% compared to January 2020. Following this decline, HF hospitalizations increased but did not reach prepandemic levels. HF-2020 admissions had an increased complication burden compared to HF-2019, including acute myocardial infarction (8.9% vs 6.6%, P < 0.005) and pulmonary embolism (4.1% vs 3.4%, P < 0.005) indicating a sicker cohort of patients. HF-COVID+ve hospitalizations had 2.9 times higher odds of inpatient mortality compared to HF-COVID-ve and an increased adjusted length of stay by 2.16 days (P < 0.005). A pandemic of the same magnitude as COVID-19 can overwhelm even the most advanced health systems. Early resource mobilization and preparedness is essential to provide care to a sick cohort of patients like acute HF, who are directly and indirectly effected by the consequences of the pandemic which has worsened hospitalization outcomes.

Device Interventions for Heart Failure

Despite remarkable advances in drug therapy for heart failure (HF), the residual HF-related morbidity, mortality, and hospitalizations remain substantial across all HF phenotypes, and significant proportions of patients with HF remain symptomatic despite optimal drug therapy. Driven by these unmet clinical needs, the exponential growth of transcatheter interventions, and a recent shift in the regulatory landscape of device-based therapies, novel device-based interventions have emerged as a potential therapy for various phenotypes of HF. Device-based interventions can overcome some of the limitations of drug therapy (eg, intolerance, nonadherence, inconsistent delivery, and recurrent and long-term cost) and can target some HF-related pathophysiologic pathways more effectively than drug therapy. This paper reviews the current evolving landscape of device-based interventions in HF and highlights critical points related to implementation of these therapies in the current workflow of HF management.

Intravenous iron infusion in patients with heart failure: a systematic review and study-level meta-analysis

AIMS

There is considerable variability in the effect of intravenous iron on hard cardiovascular (CV)-related outcomes in patients with heart failure (HF) in randomized controlled trials (RCTs). We use a meta-analytic approach to analyse data from existing RCTs to derive a more robust estimate of the effect size of intravenous iron infusion on CV-related outcomes in patients with HF.

METHOD AND RESULTS

PubMed/Medline was searched using the following terms: ('intravenous' and 'iron' and 'heart failure') from inception till 6 November 2022 for RCTs comparing intravenous iron infusion with placebo or standard of care in patients with HF and iron deficiency. Outcomes were the composite of CV mortality and first hospitalization for HF; all-cause mortality; CV mortality; first hospitalization for HF; and total hospitalizations for HF. Random effects risk ratio (RR) with 95% confidence intervals (CIs) were calculated. Ten RCTs with a total of 3438 patients were included. Intravenous iron resulted in a significant reduction in the composite of CV mortality and first hospitalization for HF [RR 0.0.85; 95% CI (0.77, 0.95)], first hospitalization for HF [RR 0.82; 95% CI (0.67, 0.99)], and total hospitalizations for HF [RR 0.74; 95% CI (0.60, 0.91)] but no statistically significant difference in all-cause mortality [RR 0.95; 95% CI. (0.83, 1.09)] or CV mortality [OR 0.89; 95% CI (0.75, 1.05)].

CONCLUSIONS

Intravenous iron infusion in patients with HF reduces the composite risk of first hospitalization for HF and CV mortality as well as the risks of first and recurrent hospitalizations for HF, with no effect on all-cause mortality or CV mortality alone.

Gefapixant, a Novel P2X3 Antagonist, Protects against Post Myocardial Infarction Cardiac Dysfunction and Remodeling Via Suppressing NLRP3 Inflammasome

OBJECTIVE

The ATP responsive P2 purinergic receptors can be subdivided into metabotropic P2X family and ionotropic P2Y family. Among these, P2X3 is a type of P2X receptor which is specifically expressed on nerves, especially on pre-ganglionic sensory fibers. This study investigates whether gefapixant possesses the potential of inhibiting cardiac sympathetic hypersensitivity to protect against cardiac remodeling in the context of myocardial infarction.

METHODS

The Sprague-Dawley rats were divided randomly into three groups: sham group-myocardial infarction group, and myocardial infarction with gefapixant treatment group. Myocardial infarction was induced by left anterior descending branch ligation. The gefapixant solution was intraperitoneally injected each time per day for 7 days and the appropriate dosage of gefapixant was determined according to the results of hematoxylin-eosin (HE) staining and myocardial injury biomarkers. Conditions of cardiac function were assessed by echocardiograph and cardiac fibrosis was evaluated by Western blotting and immunofluorescence staining of collagen I and collagen III. The sympathetic innervation was detected by norepinephrine concentration (pg/mL), in-vivo electrophysiology, and typical sympathetic biomarkers. Inflammatory cell infiltration was shown from immunofluorescence staining and pro-inflammatory signaling pathway activation was checked by immunohistology, quantitative realtime PCR (qPCR) and Western blotting.

RESULTS

It was found that gefapixant injection of 10 mg/kg per day had the highest dosage-efficacy ratio. Furthermore, gefapixant treatment improved cardiac pump function as shown by increased LVEF and LVFS, and decreased LVIDd and LVIDs. The expression levels of collagen I and collagen III, and TNF-α were all decreased by P2X3 inhibition. Mechanistically, the decreased activation of nucleotide-binding and oligomerization domain-like receptors family pyrin-domain-containing 3 (NLRP3) inflammasome and subsequent cleavage of caspase-1 which modulated interleukin-1β (IL-1β) and IL-18 level in heart after gefapixant treatment were associated with the suppressed cardiac inflammation.

CONCLUSION

It is suggested that P2X3 inhibition by gefapixant ameliorates post-infarct autonomic nervous imbalance, cardiac dysfunction, and remodeling possibly via inactivating NLRP3 inflammasome.

Ten Questions and Some Reflections about Palliative Care in Advanced Heart Failure Patients

Heart failure is a clinical syndrome with increasing prevalence, high morbidity and mortality. It is characterized by high symptom burden, poor quality of life and high economic costs. This implies that the heart failure (HF) patients who receive palliative care (PC) have needs similar to cancer patients, but which are often unmet. This paper analyzes the main unresolved issues regarding the relationship between HF patients and the referral to an early PC program. These issues are presented as ten questions related to which patients should be admitted to PC and at what stage of their disease. Furthermore, the barriers opposing to referral to PC, the role of cardiologists and PC physicians within the care team, the gap between the scientific societies' suggestions and the real world, the right time to promote patients' awareness and shared decision making, regarding prognosis, end of life wishes and choices, with reference also to cardiac implantable devices' deactivation, are discussed. These unresolved questions support the need to reevaluate programs and specific models in achieving equal access to palliative care interventions for HF patients, which is still mainly offered to patients with cancer.