Trends in Heart Failure Hospitalizations in the US from 2008 to 2018

Temporal trends (2003-2018) of in-hospital and 30-day mortality in patients hospitalized with acute heart failure

BACKGROUND

Limited temporal data on in-hospital mortality trends of patients hospitalized with acute heart failure (AHF) have been reported. We evaluated whether, in AHF hospitalized patients, the rate of in-hospital and 30-day mortality, and 30-day re-hospitalization for AHF have changed in the past 15 years.

METHODS AND RESULTS

We examined administrative data from the Lombardy region, Italy and analysed data of all adults hospitalized for AHF from 2003 to 2018. Patients were stratified according to the hospitalization period: 2003-2006; 2007-2010; 2011-2014; 2015-2018. Primary endpoint was the comparison of in-hospital mortality rates among periods. Secondary endpoints were 30-day mortality rates and temporal trends of re-hospitalization for AHF. During this period, 414,164 hospitalizations with a primary diagnosis of AHF were identified, involving 286,028 patients aged 18 and older. In-hospital and 30-day mortality in the entire cohort showed a progressive increase over time (from 6.7 % to 8.5 % and from 12.4 % to 14.5 %, respectively). Thirty-day re-hospitalization for AHF was 2 %, showing a progressive decrease over the years. However, patient' age and complexity increased in the most recently hospitalized patients. After adjusting for major confounders, in-hospital and 30-day mortality risks were similar moving from one study period to the next (relative risk for trend 1.00 [95 % CI 0.99-1.01] and 1.00 [95 % CI 0.98-1.01], respectively), while that of 30-day AHF re-hospitalization decreased progressively (hazard ratio for trend 0.86 [95 % CI 0.84-0.88]).

CONCLUSIONS

In our study, the increasing age and complexity of patients largely accounted for the continued rise in early mortality observed in patients hospitalized with AHF.

Proteomics-Based Soluble Urokinase Plasminogen Activator Receptor Levels Are Associated With Incident Heart Failure Risk

Background

Higher soluble urokinase plasminogen activator receptor (suPAR) levels are associated with adverse outcomes in chronic heart failure (HF).

Objectives

The authors assessed the association between proteomics-based suPAR levels and incident HF risk in the general population.

Methods

In 40,418 UK Biobank participants without HF or coronary artery disease at enrollment, the association between Olink-based suPAR levels measured as relative protein expression levels and incident all-cause, ischemic, and nonischemic HF was analyzed by competing-risk regression, while accounting for all-cause death as a competing risk. The additional variability in incident HF risk attributable to suPAR levels beyond demographics, traditional risk factors, N-terminal pro B-type natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) levels was assessed with nested Cox modeling and likelihood ratio testing.

Results

The mean age was 56 years; 45% were male, and 94% were White. During a median follow-up of 13.7 (IQR: 1.5) years, 1,428 (3.5%) incident HF events occurred. Proteomics-based suPAR levels (per 1-SD) were independently associated with incident HF (subdistribution HR (sHR): 1.37, 95% CI: 1.29-1.46), ischemic HF (sHR: 1.40, 95% CI: 1.28-1.54), and nonischemic HF (sHR: 1.32, 95% CI: 1.21-1.44) risk, after adjustment for demographics, traditional cardiovascular risk factors, NT-proBNP, and CRP levels. The addition of suPAR levels to a base risk factor model significantly improved the explained variability of incident HF risk (R 2 = 0.76 vs 0.73, P < 0.001).

Conclusions

Independent of demographics, traditional risk factors, NT-proBNP, and CRP levels, proteomics-based suPAR levels were significantly associated with incident all-cause, ischemic, and nonischemic HF risk. Proteomics-based measurement of suPAR levels may underestimate the effect size of this relationship.

Patterns of diuretic titration during inpatient management of acute decompensated heart failure

INTRODUCTION

Hospitalization rates for acute decompensated heart failure (ADHF) have increased, resulting in 6.5 million hospital days annually. Despite this, optimal diuretic strategies for managing ADHF remain unclear, highlighting the need to analyze diuretic practice patterns in ADHF treatment.

METHODS

We performed a retrospective cohort analysis of adults hospitalized for ADHF, regardless of left ventricular ejection fraction (LVEF) between January 1, 2014 and December 21, 2021 at a large, quaternary healthcare system to determine diuretic practice patterns. We performed multivariable regression analyses to assess time to initial, second, and maximum diuretic therapy with hospital length of stay (LOS) and 30-day readmission.

RESULTS

Among 4,298 adults admitted for ADHF (mean age 63 years, 62% male, 52% LVEF ≤40%) median time to max diuretic therapy was 1.8 (0.7, 3.8) days. Median time to initial IV loop diuretic dose was 3.6 (2.1, 6.5) hours, while time to second dose of IV loop diuretic dose was 10.2 (6.3, 15.1) hours. Time to initial IV loop diuretic, time to second IV loop diuretic dose, and time to maximum diuretic therapy were all positively associated with increased LOS but were not associated with 30-day readmission. There was wide variation in loop diuretic escalation strategies and use of sequential nephron blockade.

CONCLUSION

There was wide variation in diuretic strategies at a single academic medical center. Increased time to initial IV loop diuretic, time between diuretic doses, and longer time to max diuretic therapy were associated with increased LOS but were not associated with 30-day readmission suggesting different diuretic strategies may affect patient outcomes and warrant dedicated investigation in the future.

Promoting early goals of care conversations in the CICU with a surprise question-based EHR workflow

BACKGROUND

The Surprise Question (SQ) - Would you be surprised if this patient died within the next 6 months? - is a validated tool for mortality prediction. The Mount Sinai Cardiac Intensive Care Unit (CICU) incorporated the SQ into a novel EHR workflow to identify patients who would benefit from early initiation of Palliative Care (PC).

METHODS

Implementation of the SQ proceeded in two steps. During the feasibility pilot (December 2021-March 2022), providers answered the SQ using an EXCEL spreadsheet for all CICU patients, without changing other workflows. In April 2022, the CICU launched a new workflow-column built into the Epic patient-list dashboard with the SQ as the backbone. For patients with SQ answers of "NO," providers were prompted to facilitate and document a goals of care (GOC) conversation. We conducted a retrospective, observational, quasi-experimental study of all admissions to the CICU with SQ = NO between December 2021-September 2022. Clinical data was obtained via EHR query and chart review. We compared the frequency and timing of GOC conversations and the likelihood of redirected GOC (defined as code status change and/or hospice discharge) during the 3-month pilot versus the 6-month implementation period.

RESULTS

195 admissions were included: median [IQR] age 72.0 [61.0, 84.0] years; LOS > 5 days 43.6%; CICU mortality 17.9%. These clinical characteristics were comparable between the pilot (N = 57) and implementation (N = 138) periods. However, ICU interventions (i.e. mechanical ventilation, renal replacement therapy) were more common among the pilot cohort (52.6% vs. 33.3%, p = .015). For the primary outcomes, compared to the pilot period, there was a significantly higher frequency of GOC conversations (61.4% vs. 81.2%, p = .004) and GOC conversations < 2 days from CICU admission (40.4% vs. 61.6%, p = .007) in the intervention period. There was no difference in the likelihood of redirected GOC towards comfort or no escalation (28.1% vs. 21.0%, p = .288).

CONCLUSION

We facilitated earlier GOC conversations directed to critically ill patients with high mortality risk by integrating the SQ into the EHR.

Implementation of a Cardiovascular Implantable Electronic Device Heart Failure Prediction Tool-Guided Management Pathway

Cardiovascular implantable electronic devices (CIEDs) monitor physiologic variables that could identify subacute heart failure (HF) decompensation and impending HF hospitalization. One such algorithm uses measurements from the previous 30 days of CIED remote monitoring data to predict low-, medium-, or high-probability of HF hospitalization in the next 30 days. We sought to understand how to prospectively implement the use of such algorithms in routine HF care. From January 18, 2024 to April 19, 2024, HF risk categories were predicted from scheduled remote transmissions every 30 days and from unscheduled transmissions for all patients at 2 distinct cardiology clinics. Clinicians contacted and assessed patients at high risk regarding symptoms and then provided an empiric 3-day diuretic intervention (initiation or dose augmentation), adjusted guideline-directed medical therapy, or performed other clinical action as appropriate. Among 358 patients with 1,140 remote transmissions, 72 (20%) had ≥1 transmission categorized as high-risk. The mean patient age was 72.8 years, 346 (97%) were male, and 221 (62%) had a pre-existing diagnosis of HF. Of these 72 patients, 67 (93%) were successfully contacted, 34 (51%) had no HF symptoms, 24 (36%) had mild to moderate symptoms, and 2 (3%) had severe symptoms. A total of 46 patients (69%) had clinical action taken, including 28 (42%) with a diuretic intervention and 12 (18%) with guideline-directed medical therapy augmented. In this implementation study, clinicians contacted and assessed nearly all patients at high risk for HF decompensation based on CIED remote monitoring data and intervened in more than 2/3s. A randomized clinical trial is needed to determine whether this algorithm and subsequent intervention improves clinical outcomes.

Adipokines and Cardiometabolic Heart Failure with Preserved Ejection Fraction: A State-of-the-Art Review

BACKGROUND

Cardiometabolic heart failure with preserved ejection fraction (HFpEF) is largely driven by obesity-related factors, including adipokines and bioactive peptides primarily secreted by the adipose tissue, such as leptin, adiponectin, and resistin. These molecules link metabolic dysregulation to cardiovascular dysfunction, influencing HFpEF progression and patient outcomes Methods: A comprehensive literature search was conducted in PubMed up to 20 November 2024, using keywords and MeSH terms, such as "HFpEF", "adipokines", "leptin", "adiponectin", and "resistin", yielding 723 results. Boolean operators refined the search, and reference lists of key studies were reviewed. After screening for duplicates and irrelevant studies, 103 articles were included, providing data on adipokines' roles in HFpEF pathophysiology, biomarkers, and therapeutic implications.

RESULTS

Both preclinical and clinical studies have demonstrated that adipokines play a role in modulating cardiovascular function, thereby contributing to the development of cardiometabolic HFpEF. Leptin promotes myocardial hypertrophy, fibrosis, endothelial dysfunction, and inflammation, though contradictory evidence suggests potential cardioprotective roles in subgroups like obese African American women. Adiponectin generally offers protective effects but presents a paradox, where elevated levels may correlate with worse outcomes, which may reflect either a compensatory response to cardiac dysfunction or a maladaptive state characterized by adiponectin resistance. Resistin is associated with increased cardiovascular risk through pro-inflammatory and pro-fibrotic effects, though its role in HFpEF requires further clarification. Other adipokines, like retinol-binding protein 4 and omentin-1, have emerged as potential contributors. Despite growing insights, clinical translation remains limited, underscoring a significant gap between experimental evidence and therapeutic application.

CONCLUSIONS

Future research should focus on targeted interventions that modulate adipokine pathways to potentially improve HFpEF outcomes. Innovative treatment strategies addressing underlying metabolic disturbances and adipokine dysregulation are essential for advancing the management of this challenging condition.

Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons

INTRODUCTION

Academic cardiac surgeons are productive researchers and innovators. We sought to perform a comprehensive machine learning (ML)-based characterization of cardiac surgery research over the past 40 y to identify trends in research pursuits.

METHODS

US-based academic websites were queried for surgeon profiles. Publications since 1980 were obtained from Web of Science, and publication classifications (e.g., "human", "animal") were collected through the National Institutes of Health iCite tool. Publications were deemed "basic or translational" if >50% of their classification was under "animal" or "molecular or cell", and "clinical" if otherwise. ML-based clustering was performed on publication titles and Medical Subject Heading terms to identify research topics.

RESULTS

A total of 944 cardiac surgeons accounted for 48,031 unique publications. Average citations per year have decreased since 1980 (P < 0.001). The percentage of basic or translational publications by cardiac surgeons has decreased over time (P < 0.001), comprising of only 8% of publications in 2022. Adult cardiac surgeons, those who received an F32, K08, or R01, and those with a PhD were more likely to publish basic or translational research. Top areas of basic or translational research were myocardial reperfusion, aortic aneurysms or remodeling, and transplant immunology. Major areas of clinical research included aortic disease, aortic valve disease, and mechanical circulatory support. Collaboration analysis revealed that 55% of publications were single-center, and the yearly percentage of these publications has decreased over time (P < 0.001).

CONCLUSIONS

Cardiac surgeons are performing less basic or translational research relative to clinical research than ever before. The majority of publications over the past 40 y did not involve cross-center collaboration. Continued support for clinical research is needed, while also encouraging collaborative basic or translational science to foster innovation in patient care.

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.

Improving TRansitions ANd outcomeS for heart FailurE patients in home health CaRe (I-TRANSFER-HF): a type 1 hybrid effectiveness-implementation trial: study protocol

BACKGROUND

Some of the most promising strategies to reduce hospital readmissions in heart failure (HF) is through the timely receipt of home health care (HHC), delivered by Medicare-certified home health agencies (HHAs), and outpatient medical follow-up after hospital discharge. Yet national data show that only 12% of Medicare beneficiaries receive these evidence-based practices, representing an implementation gap. To advance the science and improve outcomes in HF, we will test the effectiveness and implementation of an intervention called Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe (I-TRANSFER-HF), comprised of early and intensive HHC nurse visits combined with an early outpatient medical visit post-discharge, among HF patients receiving HHC.

METHODS

This study will use a Hybrid Type 1, stepped wedge randomized trial design, to test the effectiveness and implementation of I-TRANSFER-HF in partnership with four geographically diverse dyads of hospitals and HHAs ("hospital-HHA" dyads) across the US. Aim 1 will test the effectiveness of I-TRANSFER-HF to reduce 30-day readmissions (primary outcome) and ED visits (secondary outcome), and increase days at home (secondary outcome) among HF patients who receive timely follow-up compared to usual care. Hospital-HHA dyads will be randomized to cross over from a baseline period of no intervention to the intervention in a randomized sequential order. Medicare claims data from each dyad and from comparison dyads selected within the national dataset will be used to ascertain outcomes. Hypotheses will be tested with generalized mixed models. Aim 2 will assess the determinants of I-TRANSFER-HF's implementation using a mixed-methods approach and is guided by the Consolidated Framework for Implementation Research 2.0 (CFIR 2.0). Qualitative interviews will be conducted with key stakeholders across the hospital-HHA dyads to assess acceptability, barriers, and facilitators of implementation; feasibility and process measures will be assessed with Medicare claims data.

DISCUSSION

As the first pragmatic trial of promoting timely HHC and outpatient follow-up in HF, this study has the potential to dramatically improve care and outcomes for HF patients and produce novel insights for the implementation of HHC nationally.

TRIAL REGISTRATION

This trial has been registered on ClinicalTrials.Gov (#NCT06118983). Registered on 10/31/2023, https://clinicaltrials.gov/study/NCT06118983?id=NCT06118983&rank=1 .

Effect of the Mediterranean diet on incidence of heart failure in European countries: a systematic review and meta-analysis of cohort studies

INTRODUCTION

Heart failure (HF) is one of the most common cardiovascular disorders, and its prevalence is increased due to age, genetics, and lifestyle factors. Emerging evidence suggests that the Mediterranean Diet (Med Diet) is linked to lower all-cause mortality in patients with increased cardiovascular disease risk, such as those with HF.

OBJECTIVE

To conduct a systematic review and meta-analysis of observational studies into the relationship between the Med Diet on HF risk.

DESIGN

Several databases (PubMed, Scopus, Web of Science and Cochrane Library) until the 01st of May 2023 were searched. Our research was conducted based on the updated 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data were reported as risk ratios (RRs) with their 95% confidence intervals (CIs) as results of multivariate or univariate analyses.

RESULTS

From the original 1206 studies collected, six observational prospective studies were included, with a total of 216,385 European participants without evidence of HF at baseline. Over a mean period of 11 years of follow-up, a 1-point increase in the Med Diet score was associated with a significantly lower risk of HF (RR = 0.940; 95% CI: 0.912-0.969, p < 0.0001; I2 = 42.9%). Categorised by sex, a higher adherence to Med Diet was associated with a significantly lower incidence of HF in women (RR = 0.942; 95% CI: 0.912-0.973, p = 0.001; I2 = 41.8%), but not in men. The overall quality of included studies was good.

CONCLUSIONS

Higher adherence to Med Diet across European countries is associated with lower risk of HF, particularly in women.

Metabolic score for insulin resistance as a predictor of mortality in heart failure with preserved ejection fraction: results from a multicenter cohort study

BACKGROUND

The metabolic score for insulin resistance (METS-IR) has been validated as a novel, simple, and reliable surrogate marker for insulin resistance; however, its utility for evaluating the prognosis of heart failure with preserved ejection fraction (HFpEF) remains to be elucidated. Therefore, we aimed to analyze the association between METS-IR and the long-term prognosis of HFpEF.

METHODS

We enrolled a total of 4,702 participants with HFpEF in this study. The participants were divided into three groups according to METS-IR tertiles: (Ln [2 × fasting plasma glucose + fasting triglycerides] × body mass index) / (Ln [high-density lipoprotein cholesterol]). The occurrence of primary endpoints, including all-cause mortality and cardiovascular (CV) death, was documented.

RESULTS

There were 3,248 participants with HFpEF (mean age, 65.7 ± 13.8 years; male, 59.0%) in total who were included in the final analysis. The incidence of primary outcomes from the lowest to the highest METS-IR tertiles were 46.92, 86.01, and 124.04 per 1000 person-years for all-cause death and 26.75, 49.01, and 64.62 per 1000 person-years for CV death. The multivariate Cox hazards regression analysis revealed hazard ratios for all-cause and CV deaths of 2.48 (95% CI 2.10-2.93; P < 0.001) and 2.29 (95% CI 1.83-2.87; P < 0.001) when the highest and lowest METS-IR tertiles were compared, respectively. In addition, the predictive efficacy of METS-IR remained significant across various comorbidity subgroups (all P < 0.05). Further, adding the METS-IR to the baseline risk model for all-cause death improved the C-statistic value (0.690 for the baseline model vs. 0.729 for the baseline model + METS-IR, P < 0.01), the integrated discrimination improvement value (0.061, P < 0.01), the net reclassification improvement value (0.491, P < 0.01), and the clinical net benefit.

CONCLUSIONS

An elevated METS-IR, which is associated with an increased mortality risk, is a potential valuable prognostic marker for individuals with HFpEF.

Impact of Diabetes Mellitus on Outcomes in Patients with Left Ventricular Assist Devices

Heart failure (HF) represents a significant health burden in the United States, resulting in substantial mortality and healthcare costs. Through the array of treatment options available, including lifestyle modifications, medications, and implantable devices, HF management has evolved. Left ventricular assist devices (LVADs) have emerged as a crucial intervention, particularly in patients with advanced HF. However, the prevalence of comorbidities such as diabetes mellitus (DM) complicates treatment outcomes. By elucidating the impact of DM on LVAD outcomes, this review aims to inform clinical practice and enhance patient care strategies for individuals undergoing LVAD therapy. Patients with DM have higher rates of hypertension, dyslipidemia, peripheral vascular disease, and renal dysfunction, posing challenges to LVAD management. The macro/microvascular changes that occur in DM can lead to cardiomyopathy and HF. Glycemic control post LVAD implantation is a critical factor affecting patient outcomes. The recent literature has shown significant decreases in hemoglobin A1c following LVAD implantation, representing a possible bidirectional relationship between DM and LVADs; however, the clinical significance of this decrease is unclear. Furthermore, while some studies show increased short- and long-term mortality in patients with DM after LVAD implantation, there still is no literature consensus regarding either mortality or major adverse outcomes in DM patients.

Efficacy of Activity Trackers in Patients With Heart Failure With Preserved Ejection Fraction

BACKGROUND

Heart failure with preserved ejection fraction (HFpEF) is a common, complex syndrome associated with elevated morbidity and mortality. Patients with HFpEF have a high prevalence of comorbidities, including hypertension, diabetes mellitus, and obesity, which are closely related to the underlying mechanisms of the disease. Lifestyle modification with weight loss and physical activity can improve risk factors and functional outcomes in HFpEF. We sought to observe daily physical activity and determine whether utilizing an activity tracker can enhance functional status in HFpEF patients.

METHODS

We performed a prospective analysis of 57 patients with HFpEF from 2021 to 2023 at a single academic medical center who utilized a Fitbit to record one year of daily step activity. The patients were evaluated in the ambulatory setting for an initial visit and subsequently at intervals of 3, 6, and 12 months to gather vitals, labs, physical exam, and functional measurements, including the Six-Minute Walk Test (6MWT) and Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12). Associations between variables were assessed using Pearson's r correlation using Stata 18.0.

RESULTS

 Of the 49 patients who completed the study, the mean age was 68.1 ± 10.2 years, with 67% of patients identifying as female. The average BMI was 36.4 ± 8.6 kg/m2. Across each time interval, the median numbers of steps per day were 4,113 (2,517-6,520) (1-3 months), 4,583 (2,532-6,326) (4-6 months), and 3,957 (2,942-5,982) (7-12 months). There was no statistically significant variation in daily step count (p=0.06). We observed a statistically significant increase of 66 (6-200) feet in the 6MWT (p= 0.002) from baseline (1,175 (910-1,400)) to 12 months (1,321 (1,000-1,550)). The daily step count was highly correlated with the 6MWT across all time points (1-3 months: r= .70, p< .001; 4-6 months: r= .61, p< .001; 7-12 months: r= .69, p< .001). The total KCCQ-12 scores increased by 6.8 (-4.2-19.8) points (p=0.005) from baseline (60.1 (41.7-73.4)) to 12 months (69.8 (50-84.4)). Among the sub-categories of the questionnaire, we observed a positive correlation between physical limitation scores and daily step count (1-3 months: r= .47, p=.001; 4-6 months: r= .63, p< .001; 7-12 months: r= .56, p= .001). Of interest, one patient who was taking over 15,000 daily steps scored their physical limitation 10-20 points lower than those taking less than half the steps and had one of the lowest quality of life scores in the cohort, reflecting the subjective nature of heart failure (HF) symptoms.

CONCLUSION

Fitbit technology offers a convenient means to monitor real-time physical activity in patients with HFpEF. Utilizing a Fitbit to record daily step activity enhances health-related quality of life in this population. In contrast to the improved average total KCCQ-12 score, we did not observe a clinically significant increase in the 6MWT over the course of the year. Our findings establish the utility of daily step count as a valuable surrogate for six-minute walk distance.

Pulse wave signal-driven machine learning for identifying left ventricular enlargement in heart failure patients

BACKGROUND

Left ventricular enlargement (LVE) is a common manifestation of cardiac remodeling that is closely associated with cardiac dysfunction, heart failure (HF), and arrhythmias. This study aimed to propose a machine learning (ML)-based strategy to identify LVE in HF patients by means of pulse wave signals.

METHOD

We constructed two high-quality pulse wave datasets comprising a non-LVE group and an LVE group based on the 264 HF patients. Fourier series calculations were employed to determine if significant frequency differences existed between the two datasets, thereby ensuring their validity. Then, the ML-based identification was undertaken by means of classification and regression models: a weighted random forest model was employed for binary classification of the datasets, and a densely connected convolutional network was utilized to directly estimate the left ventricular diastolic diameter index (LVDdI) through regression. Finally, the accuracy of the two models was validated by comparing their results with clinical measurements, using accuracy and the area under the receiver operating characteristic curve (AUC-ROC) to assess their capability for identifying LVE patients.

RESULTS

The classification model exhibited superior performance with an accuracy of 0.91 and an AUC-ROC of 0.93. The regression model achieved an accuracy of 0.88 and an AUC-ROC of 0.89, indicating that both models can quickly and accurately identify LVE in HF patients.

CONCLUSION

The proposed ML methods are verified to achieve effective classification and regression with good performance for identifying LVE in HF patients based on pulse wave signals. This study thus demonstrates the feasibility and potential of the ML-based strategy for clinical practice while offering an effective and robust tool for diagnosing and intervening ventricular remodeling.

Incidence, risk factors and clinical outcome of multidrug-resistant organisms after heart transplantation

BACKGROUND

Transplant recipients commonly harbor multidrug-resistant organisms (MDROs), as a result of frequent hospital admissions and increased exposure to antimicrobials and invasive procedures.

AIM

To investigate the impact of patient demographic and clinical characteristics on MDRO acquisition, as well as the impact of MDRO acquisition on intensive care unit (ICU) and hospital length of stay, and on ICU mortality and 1-year mortality post heart transplantation.

METHODS

This retrospective cohort study analyzed 98 consecutive heart transplant patients over a ten-year period (2013-2022) in a single transplantation center. Data was collected regarding MDROs commonly encountered in critical care.

RESULTS

Among the 98 transplanted patients (70% male), about a third (32%) acquired or already harbored MDROs upon transplantation (MDRO group), while two thirds did not (MDRO-free group). The prevalent MDROs were Acinetobacter baumannii (14%), Pseudomonas aeruginosa (12%) and Klebsiella pneumoniae (11%). Compared to MDRO-free patients, the MDRO group was characterized by higher body mass index (P = 0.002), higher rates of renal failure (P = 0.017), primary graft dysfunction (10% vs 4.5%, P = 0.001), surgical re-exploration (34% vs 14%, P = 0.017), mechanical circulatory support (47% vs 26% P = 0.037) and renal replacement therapy (28% vs 9%, P = 0.014), as well as longer extracorporeal circulation time (median 210 vs 161 min, P = 0.003). The median length of stay was longer in the MDRO group, namely ICU stay was 16 vs 9 d in the MDRO-free group (P = 0.001), and hospital stay was 38 vs 28 d (P = 0.006), while 1-year mortality was higher (28% vs 7.6%, log-rank-χ 2: 7.34).

CONCLUSION

Following heart transplantation, a predominance of Gram-negative MDROs was noted. MDRO acquisition was associated with higher complication rates, prolonged ICU and total hospital stay, and higher post-transplantation mortality.

The Heart Failure Patient Foundation Position Statement on Research and Patient Involvement

BACKGROUND

Heart Failure (HF) is a growing global public health problem affecting approximately 64 million people worldwide.

OBJECTIVES

The Heart Failure Patient Foundation developed a position statement to advocate for adult patients with HF to be an active participant in research and for HF leaders to integrate patients throughout the research process.

METHODS

A review of the literature and best practices was conducted. Based on the evidence, the HF Patient Foundation made recommendations regarding the inclusion of adult patients with HF throughout the research process.

RESULTS

Healthcare clinicians, researchers and funding agencies have a role to ensure rigorous quality research is performed and implemented into practice. Inclusion of adult patients with HF throughout the research process can improve the lives of patients and families while advancing HF science.

CONCLUSIONS

The HF Patient Foundation strongly advocates that patients with HF be involved in research from inception of the project through dissemination of findings to improve patient outcomes.

Heart failure with mildly reduced and preserved ejection fraction: A review of disease burden and remaining unmet medical needs within a new treatment landscape

This review provides a comprehensive overview of heart failure with mildly reduced and preserved ejection fraction (HFmrEF/HFpEF), including its definition, diagnosis, and epidemiology; clinical, humanistic, and economic burdens; current pharmacologic landscape in key pharmaceutical markets; and unmet needs to identify key knowledge gaps. We conducted a targeted literature review in electronic databases and prioritized articles with valuable insights into HFmrEF/HFpEF. Overall, 27 randomized controlled trials (RCTs), 66 real-world evidence studies, 18 clinical practice guidelines, and 25 additional publications were included. Although recent heart failure (HF) guidelines set left ventricular ejection fraction thresholds to differentiate categories, characterization and diagnosis criteria vary because of the incomplete disease understanding. Recent epidemiological data are limited and diverse. Approximately 50% of symptomatic HF patients have HFpEF, more common than HFmrEF. Prevalence varies with country because of differing definitions and study characteristics, making prevalence interpretation challenging. HFmrEF/HFpEF has considerable mortality risk, and the mortality rate varies with study and patient characteristics and treatments. HFmrEF/HFpEF is associated with considerable morbidity, poor patient outcomes, and common comorbidities. Patients require frequent hospitalizations; therefore, early intervention is crucial to prevent disease burden. Recent RCTs show promising results like risk reduction of composite cardiovascular death or HF hospitalization. Costs data are scarce, but the economic burden is increasing. Despite new drugs, unmet medical needs requiring new treatments remain. Thus, HFmrEF/HFpEF is a growing global healthcare concern. With improving yet incomplete understanding of this disease and its promising treatments, further research is required for better patient outcomes.

The effect of sustained-release CARvedilol in patients with hypErtension and heart failure with preserved ejection fraction: a study protocol for a pilot randomized controlled trial (CARE-preserved HF)

Background

Although beta-blockers improve clinical outcomes in heart failure with reduced ejection fraction, the benefit of beta-blockers in heart failure with preserved ejection fraction (HFpEF) is uncertain. Global longitudinal strain (GLS) is a robust predictor of heart failure outcomes, and recent studies have shown that beta-blockers are associated with improved survival in those with low GLS (GLS <14%) but not in those with GLS ≥14% among patients with LVEF ≥40%. Therefore, the objective of this trial is to evaluate the effect of sustained-release carvedilol (carvedilol-SR) on the outcome [N-terminal pro-B-natriuretic peptide (NT-proBNP) concentration] in patients with hypertension and HFpEF and will assess the differential effects of these drugs on the outcome, according to the GLS categories.

Methods

This prospective randomized double-blind multicenter trial (CARE-preserved HF) will include 100 patients with HFpEF from three tertiary hospitals in South Korea. Patients with HFpEF and hypertension aged ≥20 years who have evidence of functional and structural heart disease on echocardiography and elevated natriuretic peptide will be enrolled. Eligible participants will be randomized 1:1 to either the carvedilol-SR group (n = 50) or the placebo group (n = 50). Patients in the carvedilol-SR group will receive 8, 16, 32, or 64 mg carvedilol-SR once daily for 6 months, and the dose of carvedilol will be up-titrated at the discretion of the treating physicians. The primary efficacy outcome was the time-averaged proportional change in N-terminal pro-B-natriuretic peptide concentration from baseline to months 3 and 6. We will also evaluate the differential effects of carvedilol-SR on primary outcomes according to GLS, using a cut-off of 14% or the median value.

Discussion

This randomized controlled trial will investigate the efficacy and safety of carvedilol-SR in patients with HFpEF and hypertension.

Clinical Trial Registration

ClinicalTrial.gov, identifier NCT05553314.

Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study

Background

Current risk stratification strategies for heart failure (HF) risk require either specific blood-based biomarkers or comprehensive clinical evaluation. In this study, we evaluated the use of artificial intelligence (AI) applied to images of electrocardiograms (ECGs) to predict HF risk.

Methods

Across multinational longitudinal cohorts in the integrated Yale New Haven Health System (YNHHS) and in population-based UK Biobank (UKB) and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), we identified individuals without HF at baseline. Incident HF was defined based on the first occurrence of an HF hospitalization. We evaluated an AI-ECG model that defines the cross-sectional probability of left ventricular dysfunction from a single image of a 12-lead ECG and its association with incident HF. We accounted for the competing risk of death using the Fine-Gray subdistribution model and evaluated the discrimination using Harrel's c-statistic. The pooled cohort equations to prevent HF (PCP-HF) were used as a comparator for estimating incident HF risk.

Results

Among 231,285 individuals at YNHHS, 4472 had a primary HF hospitalization over 4.5 years (IQR 2.5-6.6) of follow-up. In UKB and ELSA-Brasil, among 42,741 and 13,454 people, 46 and 31 developed HF over a follow-up of 3.1 (2.1-4.5) and 4.2 (3.7-4.5) years, respectively. A positive AI-ECG screen portended a 4-fold higher risk of incident HF among YNHHS patients (age-, sex-adjusted HR [aHR] 3.88 [95% CI, 3.63-4.14]). In UKB and ELSA-Brasil, a positive-screen ECG portended 13- and 24-fold higher hazard of incident HF, respectively (aHR: UKBB, 12.85 [6.87-24.02]; ELSA-Brasil, 23.50 [11.09-49.81]). The association was consistent after accounting for comorbidities and the competing risk of death. Higher model output probabilities were progressively associated with a higher risk for HF. The model's discrimination for incident HF was 0.718 in YNHHS, 0.769 in UKB, and 0.810 in ELSA-Brasil. Across cohorts, incorporating model probability with PCP-HF yielded a significant improvement in discrimination over PCP-HF alone.

Conclusions

An AI model applied to images of 12-lead ECGs can identify those at elevated risk of HF across multinational cohorts. As a digital biomarker of HF risk that requires just an ECG image, this AI-ECG approach can enable scalable and efficient screening for HF risk.

[Hospital admissions and outcomes for systolic and diastolic heart failure in Spain between 2016 and 2019: A population-based study]

BACKGROUND AND PURPOSE

In Spain there is a lack of population data that specifically compare hospitalization for systolic and diastolic heart failure (HF). We assessed clinical characteristics, in-hospital mortality and 30-day cardiovascular readmission rates differentiating by HF type.

METHODS

We conducted a retrospective observational study of patients discharged with the principal diagnosis of HF from The National Health System' acute hospital during 2016-2019, distinguishing between systolic and diastolic HF. The source of the data was the Minimum Basic Data Set. The risk-standardized in-hospital mortality ratio and risk-standardized 30-day cardiovascular readmission ratio were calculated using multilevel risk adjustment models.

RESULTS

The 190,200 episodes of HF were selected. Of these, 163,727 (86.1%) were classified as diastolic HF and were characterized by older age, higher proportion of women, diabetes mellitus, dementia and renal failure than those with systolic HF. In the multilevel risk adjustment models, diastolic HF was a protective factor for both in-hospital mortality (odds ratio [OR]: 0.79; 95% confidence interval [CI]: 0.75-0.83; P<.001) and 30-day cardiovascular readmission versus systolic HF (OR: 0.93; 95% CI: 0.88-0.97; P=.002).

CONCLUSIONS

In Spain, between 2016 and 2019, hospitalization episodes for HF were mostly due to diastolic HF. According to the multilevel risk adjustment models, diastolic HF compared to systolic HF was a protective factor for both in-hospital mortality and 30-day cardiovascular readmission.

Heart Failure, Investigator-Reported Sleep Apnea and Dapagliflozin: A Patient-Level Pooled Meta-Analysis of DAPA-HF and DELIVER

BACKGROUND

Sleep apnea is more common in patients with heart failure (HF) than in the general population, but little is known about its association with clinical outcomes in various HF phenotypes or how it might modify the effect of HF therapy.

OBJECTIVES

To examine the prevalence of sleep apnea, its association with outcomes and the effects of dapagliflozin in patients with HF with and without sleep apnea in a pooled analysis of 2 trials comparing dapagliflozin to placebo in HFrEF (DAPA-HF trial) and HFmrEF/HFpEF (DELIVER trial).

METHODS

A history of sleep apnea was investigator-reported. The primary outcome was a composite of worsening HF or cardiovascular death.

RESULTS

The prevalence of sleep apnea was 5.7% and 7.8% in patients with HFrEF and HFmrEF/HFpEF, respectively. The primary outcome occurred at a rate of 16.0 in participants with sleep apnea compared to 10.6 per 100 person-years in those without (adjusted HR 1.29 [95%CI, 1.10-1.52]). Compared with placebo, dapagliflozin reduced the risk of the primary endpoint to the same extent in patients with (HR 0.78 [95% CI, 0.59-1.03]) and without sleep apnea (HR 0.79 [0.72-0.87]) [Pinteraction = 0.93]. The beneficial effects of dapagliflozin on other clinical outcomes and symptom burden, physical function, and quality of life were consistent in participants with and without sleep apnea.

CONCLUSIONS

In DAPA-HF and DELIVER, the true prevalence of sleep apnea was likely underestimated. An investigator-reported history of sleep apnea was associated with higher rates of worsening HF events. The benefits of dapagliflozin on clinical outcomes were consistent in patients with and without sleep apnea.

CLINICAL TRIAL REGISTRATION

Unique identifiers: NCT01920711 CONDENSED ABSTRACT: In a pooled analysis of the DAPA-HF and DELIVER trials of more than 11,000 patients with heart failure (HF) across the range of ejection fractions, an investigator-reported history of sleep apnea was associated with higher rates of worsening HF events but not mortality. The beneficial effects of dapagliflozin on clinical outcomes were consistent in patients with and without sleep apnea. These findings provide further evidence for dapagliflozin as a new treatment option for patients with heart failure across the range of ejection fractions.

Outcomes of Clostridioides difficile infection in acute heart failure hospitalizations: insights from the National Inpatient Database

BACKGROUND

Heart failure (HF) patients are at a greater risk for nosocomial infections due to their higher prevalence of comorbidities, readmission rates, and prolonged hospital stays. Clostridioides difficile infection (CDI) remains a common nosocomial infection in hospitalized patients.

AIM

To identify patients with a diagnosis of acute HF and stratified based on the presence of CDI, using the National Inpatient Sample (NIS) database from 2016 to 2020.

METHODS

Adjusted odds ratios (aOR) of in-hospital outcomes were calculated, and a propensity-matched analysis was performed.

FINDINGS

Of 536,595 acute HF hospitalizations in this timeframe, 3030 were also diagnosed with CDI (0.56%). Patients with acute HF and CDI had significantly higher in-hospital mortality (adjusted odds ratio: (aOR): 1.91), cardiac arrest (aOR: 1.66), and use of mechanical circulatory support (MCS) (aOR 2.42). In propensity-matched analysis, in-hospital mortality (13.71 vs 8.44%; P=0.005), septic shock (7.54 vs 3.33%; P=0.002), and use of MCS (7.19 vs 3.68%; P=0.009) were significantly higher in HF patients with CDI than without. Coexisting neurological disease (aOR: 3.74) and liver disease (aOR: 2.97) showed the strongest association as independent predictors of mortality. HF patients with CDI had longer hospital stays (14.45 ± 19.40 vs 5.44 ± 7.10 days; P<0.0001) and higher inflation-adjusted total hospital costs ($186,225 ± 376,485 vs $60,740 ± 153,992; P<0.001) compared to those without CDI.

CONCLUSION

The occurrence of concomitant CDI in patients admitted with acute HF exacerbation is associated with worse in-hospital outcomes and deaths as well as longer hospitalizations and greater financial cost.

Prognostic implication of heart failure stage and left ventricular ejection fraction for patients with in-hospital cardiac arrest: a 16-year retrospective cohort study

BACKGROUND

The 2022 AHA/ACC/HFSA guidelines for the management of heart failure (HF) makes therapeutic recommendations based on HF status. We investigated whether the prognosis of in-hospital cardiac arrest (IHCA) could be stratified by HF stage and left ventricular ejection fraction (LVEF).

METHODS

This single-center retrospective study analyzed the data of patients who experienced IHCA between 2005 and 2020. Based on admission diagnosis, past medical records, and pre-arrest echocardiography, patients were classified into general IHCA, at-risk for HF, pre-HF, HF with preserved ejection fraction (HFpEF), and HF with mildly reduced ejection fraction or HF with reduced ejection fraction (HFmrEF-or-HFrEF) groups.

RESULTS

This study included 2,466 patients, including 485 (19.7%), 546 (22.1%), 863 (35.0%), 342 (13.9%), and 230 (9.3%) patients with general IHCA, at-risk for HF, pre-HF, HFpEF, and HFmrEF-or-HFrEF, respectively. A total of 405 (16.4%) patients survived to hospital discharge, with 228 (9.2%) patients achieving favorable neurological recovery. Multivariable logistic regression analysis indicated that pre-HF and HFpEF were associated with better neurological (pre-HF, OR: 2.11, 95% confidence interval [CI]: 1.23-3.61, p = 0.006; HFpEF, OR: 1.90, 95% CI: 1.00-3.61, p = 0.05) and survival outcomes (pre-HF, OR: 2.00, 95% CI: 1.34-2.97, p < 0.001; HFpEF, OR: 1.91, 95% CI: 1.20-3.05, p = 0.007), compared with general IHCA.

CONCLUSION

HF stage and LVEF could stratify patients with IHCA into different prognoses. Pre-HF and HFpEF were significantly associated with favorable neurological and survival outcomes after IHCA. Further studies are warranted to investigate whether HF status-directed management could improve IHCA outcomes.

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.

Ion channel trafficking implications in heart failure

Heart failure (HF) is recognized as an epidemic in the contemporary world, impacting around 1%-2% of the adult population and affecting around 6 million Americans. HF remains a major cause of mortality, morbidity, and poor quality of life. Several therapies are used to treat HF and improve the survival of patients; however, despite these substantial improvements in treating HF, the incidence of HF is increasing rapidly, posing a significant burden to human health. The total cost of care for HF is USD 69.8 billion in 2023, warranting a better understanding of the mechanisms involved in HF. Among the most serious manifestations associated with HF is arrhythmia due to the electrophysiological changes within the cardiomyocyte. Among these electrophysiological changes, disruptions in sodium and potassium currents' function and trafficking, as well as calcium handling, all of which impact arrhythmia in HF. The mechanisms responsible for the trafficking, anchoring, organization, and recycling of ion channels at the plasma membrane seem to be significant contributors to ion channels dysfunction in HF. Variants, microtubule alterations, or disturbances of anchoring proteins lead to ion channel trafficking defects and the alteration of the cardiomyocyte's electrophysiology. Understanding the mechanisms of ion channels trafficking could provide new therapeutic approaches for the treatment of HF. This review provides an overview of the recent advances in ion channel trafficking in HF.

Chapter 1: The Burden of Heart Failure

Heart failure (HF) affects an estimated 6 million American adults, and the prevalence continues to increase, driven in part by the aging of the population and by increases in the prevalence of diabetes. In recent decades, improvements in the survival of patients with HF have resulted in a growing number of individuals living longer with HF. HF and its comorbidities are associated with substantial impairments in physical functioning, emotional well-being, and quality of life, and also with markedly increased rates of morbidity and mortality. As a result, the management of patients with HF has a substantial economic impact on the health care system, with most costs arising from hospitalization. Clinicians have an important role in helping to reduce the burden of HF through timely diagnosis of HF as well as increasing access to effective treatments to minimize symptoms, delay progression, and reduce hospital admissions. Prevention and early diagnosis of HF will play a fundamental role in efforts to reduce the large and growing burden of HF. Recent advances in pharmacotherapies for HF have the potential to radically change the management of HF, offering the possibility of improved survival and quality of life for patients.

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.

Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk

With the rising incidence of heart failure (HF) and increasing burden of morbidity, mortality, and healthcare expenditures, primary prevention of HF targeting individuals in at-risk HF (Stage A) and pre-HF (Stage B) Stages has become increasingly important with the goal to decrease progression to symptomatic (Stage C) HF. Identification of risk based on traditional risk factors (e.g., cardiovascular health which can be assessed with the American Heart Association's Life's Essential 8 framework), adverse social determinants of health, inherited risk of cardiomyopathies, and identification of risk-enhancing factors, such as patients with viral disease, exposure to cardiotoxic chemotherapy, and history of adverse pregnancy outcomes should be the first step in evaluation for HF risk. Next, use of guideline-endorsed risk prediction tools such as Pooled Cohort Equations to Prevent Heart Failure provide quantification of absolute risk of HF based in traditional risk factors. Risk reduction through counseling on traditional risk factors is a core focus of implementation of prevention and may include the use of novel therapeutics that target specific pathways to reduce risk of HF, such as mineralocorticoid receptor agonists (e.g., fineronone), angiotensin-receptor/neprolysin inhibitors, and sodium glucose co-transporter-2 inhibitors. These interventions may be limited in at-risk populations who experience adverse social determinants and/or individuals who reside in rural areas. Thus, strategies like telemedicine may improve access to preventive care. Gaps in the current knowledge base for risk-based prevention of HF are highlighted to outline future research that may target approaches for risk assessment and risk-based prevention with the use of artificial intelligence, genomics-enhanced strategies, and pragmatic trials to develop a guideline-directed medical therapy approach to reduce risk among individuals with Stage A and Stage B HF.

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.

Missed opportunities in the diagnosis of heart failure: a real-world assessment

AIMS

Heart failure (HF) is a leading cause of hospitalization worldwide. An early HF diagnosis is key to reducing hospitalizations. We used electronic health records (EHRs) to characterize HF pathways at the primary care physician (PCP) level prior to a first HF hospitalization (hHF). This study aimed to identify missed opportunities for HF diagnosis and management at the PCP level before a first hHF.

METHODS AND RESULTS

This cohort study used EHRs of a large health care organization in Portugal. Patients with incident hHF between 2017 and 2020 were identified. Missed opportunities were defined by the absence of any of the following work-up in the 6 months after signs or symptoms had been recorded: lab results and electrocardiogram, natriuretic peptides, echocardiogram, referral to HF specialist, or HF medication initiation. A total of 2436 patients with a first hHF were identified. The median (interquartile range) age at the time of hospitalization was 81 (14) years, and 1361 (56%) were women. Most patients were treated with cardiovascular drugs prior or at index event. A total of 720 (30%) patients had records of HF signs or symptoms, 94% (n = 674) within 6 months prior to hHF. Among patients with recorded HF signs or symptoms, 410 (57%) had clinical management considered adequate before signs and symptoms were recorded. Of the 310 remaining patients, 155 (50%) had a follow-up that was considered inadequate.

CONCLUSIONS

Relatively few patients with a first hHF had primary care records of signs or symptoms prior to admission. Of these, nearly half had inadequate management considering diagnosis and treatment. These data suggest the need to improve PCP HF awareness.

Evolution of economic burden of heart failure by ejection fraction in newly diagnosed patients in Spain

OBJECTIVE

To describe healthcare resource utilization (HCRU) and costs, in patients with newly diagnosed heart failure (HF) according to ejection fraction (EF) in Spain.

METHODS

Retrospective cohort study that analyzed anonymized, integrated and computerised medical records in Spain. Patients with ≥ 1 new HF diagnosis between January 2013 and September 2019 were included and followed-up during a 4-year period. Rates per 100 person-years of HCRU and costs were estimated.

RESULTS

Nineteen thousand nine hundred sixty-one patients were included, of whom 43.5%, 26.3%, 5.1% and 25.1% had HF with reduced, preserved, mildly reduced and unknown EF, respectively. From year 1 to 4, HF rates of outpatient visits decreased from 1149.5 (95% CI 1140.8-1159.3) to 765.5 (95% CI 745.9-784.5) and hospitalizations from 61.7 (95% CI 60.9-62.7) to 15.7(14.7-16.7) per 100 person-years. The majority of HF-related healthcare resource costs per patient were due to hospitalizations (year 1-4: 63.3-38.2%), followed by indirect costs (year 1-4: 12.2-29.0%), pharmacy (year 1-4: 11.9-19.9%), and outpatient care (year 1-4: 12.6-12.9%). Mean (SD) per patient HF-related costs decreased from 2509.6 (3518.5) to 1234.6 (1534.1) Euros (50% cost reduction). At baseline, 70.1% were taking beta-blockers, 56.3% renin-angiotensin system inhibitors, 11.8% mineralocorticoid receptor antagonists and 8.9% SGLT2 inhibitors. At 12 months, these numbers were 72.3%, 65.4%, 18.9% and 9.8%, respectively.

CONCLUSIONS

Although the economic burden of HF decreased over time since diagnosis, it is still substantial. This reduction could be partially related to a survival bias (sick patients died early), but also to a better HF management. Despite that, there is still much room for improvement.

Palliative Care for Patients With Heart Failure With Preserved Ejection Fraction

Heart failure with preserved ejection fraction (HFpEF) has become the leading form of heart failure worldwide, particularly among elderly patient populations. HFpEF is associated with significant morbidity and mortality that may benefit from incorporation of palliative care (PC). Patients with HFpEF have similarly high mortality rates to patients with heart failure with reduced ejection fraction. PC trials for heart failure have shown improvement in quality of life, quality of death, and health care utilization, although most trials defined heart failure clinically without differentiating between HFpEF and heart failure with reduced ejection fraction. As such, the timing and role of PC for HFpEF care remains uncertain, and PC referral rates for HFpEF are very low despite potential improvements in important patient-centered outcomes. Specific barriers to referral include limited data, prognostic uncertainty, provider misconceptions about PC, inadequate specialty PC workforce, complexities of treating multimorbidity, and limited home care options for patients with heart failure. While there are many barriers to integration of PC into HFpEF care, there are multiple potential benefits to patients with HFpEF throughout their disease course. As this population continues to grow, targeted efforts to study and implement PC interventions are needed to improve patient quality of life and death.

N-Terminal Pro B-Type Natriuretic Peptide as a Screening Tool for Inpatient Echocardiogram Requirement Among Patients With Suspected Heart Failure: Using NT-proBNP to Reduce Hospital Length of Stay

BACKGROUND

N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a cardiac biomarker with diagnostic and prognostic utility in patients with heart failure (HF). Whether NT-proBNP can be used to triage inpatient transthoracic echocardiogram (TTE) requirements, and whether this impacts hospital length of stay (LOS), is not clear.

METHODS

Clinical and biochemical data were prospectively recorded on all inpatients at Wollongong Hospital, NSW, Australia, who had a TTE ordered for suspected HF over a 6-month period. NT-proBNP was used to triage TTE priority, where high-priority inpatient TTE, lower-priority inpatient TTE and outpatient (OP) TTE were performed for serum NT-proBNPs of ≥900, 300-899 and <300, respectively. Outcomes were compared with a baseline cohort of HF inpatients in whom TTE requirement was not guided by NT-proBNP.

RESULTS

A total of 236 patients were evaluated-31, 31, and 174 in the low, intermediate and high NT-proBNP cohorts, respectively, and 199 patients were in the baseline cohort. Average hospital LOS was significantly reduced in the study cohort compared to baseline (9.97 vs 13.87 days, p<0.001). Of the 31 patients with a very low NT-proBNP who were discharged for OP TTE, seven were readmitted within 30 days, though none were HF-related. There were no deaths at 30 days in the low or intermediate NT-proBNP groups.

CONCLUSIONS

Using NT-proBNP to triage requirements for inpatient TTE reduces hospital LOS. A very low NT-proBNP may help identify which patients with suspected HF can be safely discharged for OP TTE.

The use of sodium-glucose cotransporter 2 inhibitors in heart failure with reduced or preserved ejection fraction: new guidelines hot off the press and directly into guidelines!

It is well known that the prevalence of heart failure (HF) is high and continues to grow. Sodium-glucose cotransporter 2 (SGLT2) inhibitors, although initially developed as a therapy for type 2 diabetes, have been found to be beneficial in patients with HF, regardless of diabetic status. Given the clinical benefit demonstrated in recent large randomized clinical trials in those with HF, they have been rapidly incorporated into clinical practice and adopted by the national guidelines hot off the press. SGLT2 inhibitors are now recommended for patients with symptomatic HF, with any ejection fraction. These medications are generally very well tolerated by patients, and adverse effects include genital and soft tissue infections, euglycemic ketoacidosis, and volume depletion. SGLT2 inhibitors have now become a pillar of the pharmacologic treatment of HF, thus providers should be familiar with their use for not only those with type 2 diabetes, but also those with HF.

Effects of COVID-19 on heart failure admissions

Despite significant investigation into the effects of COVID-19 on cardiovascular disease, there is a paucity of national data specifically examining its effects on heart failure (HF) hospitalizations. Previous cohort study data demonstrate worsened outcomes in HF patients with recent COVID-19 infection. To better understand this association, this study aimed to utilize a nationally representative database to examine demographics, outcomes, and health care utilization in hospitalizations for HF with a codiagnosis of COVID-19.

Heart Failure With Preserved Ejection Fraction: JACC Scientific Statement

The incidence and prevalence of heart failure with preserved ejection fraction (HFpEF) continue to rise in tandem with the increasing age and burdens of obesity, sedentariness, and cardiometabolic disorders. Despite recent advances in the understanding of its pathophysiological effects on the heart, lungs, and extracardiac tissues, and introduction of new, easily implemented approaches to diagnosis, HFpEF remains under-recognized in everyday practice. This under-recognition presents an even greater concern given the recent identification of highly effective pharmacologic-based and lifestyle-based treatments that can improve clinical status and reduce morbidity and mortality. HFpEF is a heterogenous syndrome and recent studies have suggested an important role for careful, pathophysiological-based phenotyping to improve patient characterization and to better individualize treatment. In this JACC Scientific Statement, we provide an in-depth and updated examination of the epidemiology, pathophysiology, diagnosis, and treatment of HFpEF.

Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

BACKGROUND

Heart failure (HF) is highly prevalent in the United States. Approximately one-third to one-half of HF cases are categorized as HF with reduced ejection fraction (HFrEF). Patients with HFrEF are at risk of worsening HF, have a high risk of adverse outcomes, and experience higher health care use and costs. Therefore, it is crucial to identify patients with HFrEF who are at high risk of subsequent events after HF hospitalization.

OBJECTIVE

Machine learning (ML) has been used to predict HF-related outcomes. The objective of this study was to compare different ML prediction models and feature construction methods to predict 30-, 90-, and 365-day hospital readmissions and worsening HF events (WHFEs).

METHODS

We used the Veradigm PINNACLE outpatient registry linked to Symphony Health's Integrated Dataverse data from July 1, 2013, to September 30, 2017. Adults with a confirmed diagnosis of HFrEF and HF-related hospitalization were included. WHFEs were defined as HF-related hospitalizations or outpatient intravenous diuretic use within 1 year of the first HF hospitalization. We used different approaches to construct ML features from clinical codes, including frequencies of clinical classification software (CCS) categories, Bidirectional Encoder Representations From Transformers (BERT) trained with CCS sequences (BERT + CCS), BERT trained on raw clinical codes (BERT + raw), and prespecified features based on clinical knowledge. A multilayer perceptron neural network, extreme gradient boosting (XGBoost), random forest, and logistic regression prediction models were applied and compared.

RESULTS

A total of 30,687 adult patients with HFrEF were included in the analysis; 11.41% (3184/27,917) of adults experienced a hospital readmission within 30 days of their first HF hospitalization, and nearly half (9231/21,562, 42.81%) of the patients experienced at least 1 WHFE within 1 year after HF hospitalization. The prediction models and feature combinations with the best area under the receiver operating characteristic curve (AUC) for each outcome were XGBoost with CCS frequency (AUC=0.595) for 30-day readmission, random forest with CCS frequency (AUC=0.630) for 90-day readmission, XGBoost with CCS frequency (AUC=0.649) for 365-day readmission, and XGBoost with CCS frequency (AUC=0.640) for WHFEs. Our ML models could discriminate between readmission and WHFE among patients with HFrEF. Our model performance was mediocre, especially for the 30-day readmission events, most likely owing to limitations of the data, including an imbalance between positive and negative cases and high missing rates of many clinical variables and outcome definitions.

CONCLUSIONS

We predicted readmissions and WHFEs after HF hospitalizations in patients with HFrEF. Features identified by data-driven approaches may be comparable with those identified by clinical domain knowledge. Future work may be warranted to validate and improve the models using more longitudinal electronic health records that are complete, are comprehensive, and have a longer follow-up time.

Frequency and Impact of Infectious Disease Conditions Diagnosed During Decompensated Heart Failure Hospitalizations in the United States

There are limited data on the frequency of diagnosis of infectious disease and its impact on patients hospitalized with decompensated heart failure. We sought to evaluate the prevalence, types, trends, and outcomes of infectious disease diagnosis in patients admitted with decompensated heart failure. We performed a retrospective cohort study in patients admitted with a primary diagnosis of heart failure using the National Inpatient Sample database from 2009 to 2019. Patients with a length of stay ≥3 days were included. Patients with chronic dialysis, left ventricular assist devices, cardiogenic shock, or solid organ transplantation or who required mechanical ventilation or mechanical circulatory support were excluded. Patients were stratified according to the presence or absence of infectious disease diagnosis. Outcomes of interest were in-hospital mortality, length of stay, and resource utilization. Among the 7,228,521 admissions with a primary diagnosis of heart failure that met the inclusion and exclusion criteria, an infectious disease diagnosis was reported in 1,806,514 (24.9%). Infectious disease diagnosis was more frequent in patients who were female, older, and White, and who had higher baseline co-morbidity. Since 2014, there has been a steady decrease in infectious conditions in patients admitted with a primary diagnosis of heart failure (p for trend <0.01). After propensity match analysis was performed, patients with infectious disease diagnosis had a longer length of stay (6.9 vs 5.7 days, p <0.001) and higher cost ($14,305 vs $11,760, p <0.001), were less likely to be discharged home (35.3% vs 44.7%, p <0.001), and had higher in-hospital mortality (2.6% vs 1.6%, p <0.001). In conclusion, approximately 1 in 4 patients admitted with primary heart failure will be diagnosed with an infectious condition. The presence of an infectious disease diagnosis is associated with increased morbidity and mortality.

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.

Acoustic Voice and Speech Biomarkers of Treatment Status during Hospitalization for Acute Decompensated Heart Failure

This study investigates acoustic voice and speech features as biomarkers for acute decompensated heart failure (ADHF), a serious escalation of heart failure symptoms including breathlessness and fatigue. ADHF-related systemic fluid accumulation in the lungs and laryngeal tissues is hypothesized to affect phonation and respiration for speech. A set of daily spoken recordings from 52 patients undergoing inpatient ADHF treatment was analyzed to identify voice and speech biomarkers for ADHF and to examine the trajectory of biomarkers during treatment. Results indicated that speakers produce more stable phonation, a more creaky voice, faster speech rates, and longer phrases after ADHF treatment compared to their pre-treatment voices. This project builds on work to develop a method of monitoring ADHF using speech biomarkers and presents a more detailed understanding of relevant voice and speech features.

Trends and Outcomes in Cardiac Arrest Among Heart Failure Admissions

There is limited large, national data investigating the prevalence, characteristics, and outcomes of cardiac arrest (CA) in patients hospitalized for heart failure (HF). The goal of this study was to examine the characteristics, trends, and outcomes of HF hospitalizations complicated by in-hospital CA. We used the National Inpatient Sample to identify all primary HF admissions from 2016 to 2019. Cohorts were built based on the presence of a codiagnosis of CA. Diagnoses were identified using International Classification of Diseases, Tenth Revision, Clinical Modification codes. Associations with CA were then analyzed using multivariate logistic regression. We identified a total of 4,905,564 HF admissions, 56,170 (1.1%) of which had CA. Hospitalizations complicated by CA were significantly more likely to be male, to have coronary artery disease, renal disease, and less likely to be White (p <0.001, all). Age <65 (odds ratio [OR] 1.18, p <0.001), renal disease (OR 2.41, p <0.001), and coronary artery disease (OR 1.26, p <0.001) had higher odds of CA while female gender (OR 0.84, confidence interval [CI] 0.83 to 0.86, p <0.001) or HFpEF (OR 0.49, CI 0.48 to 0.50, p <0.001) had lower odds of CA. Patients with CA had higher inpatient mortality (CA 54.2% vs no CA 2.1%, p <0.001), which persisted after multivariate adjustment (OR 64.8, CI 63.5 to 66.0, p <0.001). CA occurs in >1 in 1,000 HF hospitalizations and remains a prominent and serious event associated with a high mortality. Further research is needed to examine long-term outcomes and mechanical circulatory support utilization with more granularity in HF patients with in-hospital CA.

Characteristics, Treatment Patterns, and Clinical Outcomes After Heart Failure Hospitalizations During the COVID-19 Pandemic, March to October 2020

OBJECTIVE

To compare clinical characteristics, treatment patterns, and 30-day all-cause readmission and mortality between patients hospitalized for heart failure (HF) before and during the coronavirus disease 2019 (COVID-19) pandemic.

PATIENTS AND METHODS

The study was conducted at 16 hospitals across 3 geographically dispersed US states. The study included 6769 adults (mean age, 74 years; 56% [5033 of 8989] men) with cumulative 8989 HF hospitalizations: 2341 hospitalizations during the COVID-19 pandemic (March 1 through October 30, 2020) and 6648 in the pre-COVID-19 (October 1, 2018, through February 28, 2020) comparator group. We used Poisson regression, Kaplan-Meier estimates, multivariable logistic, and Cox regression analysis to determine whether prespecified study outcomes varied by time frames.

RESULTS

The adjusted 30-day readmission rate decreased from 13.1% (872 of 6648) in the pre-COVID-19 period to 10.0% (234 of 2341) in the COVID-19 pandemic period (relative risk reduction, 23%; hazard ratio, 0.77; 95% CI, 0.66 to 0.89). Conversely, all-cause mortality increased from 9.7% (645 of 6648) in the pre-COVID-19 period to 11.3% (264 of 2341) in the COVID-19 pandemic period (relative risk increase, 16%; number of admissions needed for one additional death, 62.5; hazard ratio, 1.19; 95% CI, 1.02 to 1.39). Despite significant differences in rates of index hospitalization, readmission, and mortality across the study time frames, the disease severity, HF subtypes, and treatment patterns remained unchanged (P>0.05).

CONCLUSION

The findings of this large tristate multicenter cohort study of HF hospitalizations suggest lower rates of index hospitalizations and 30-day readmissions but higher incidence of 30-day mortality with broadly similar use of HF medication, surgical interventions, and devices during the COVID-19 pandemic compared with the pre-COVID-19 time frame.