Heart Failure Care Research Articles

Impact of the COVID-19 pandemic on hospital-based heart failure care in New South Wales, Australia: a linked data cohort study

BackgroundHealthcare policy implemented during the COVID-19 pandemic may have impacted the health of patients with heart failure. Australian data provide a unique opportunity to examine service disruption independent of significant COVID-19 burden. This study aimed to examine heart failure care during the pandemic in New South Wales (NSW).MethodsAnalysis of hospital utilisation among patients aged ≥ 18 years with a primary diagnosis of heart failure conducted using linked administrative health records from hospital admission, emergency department, non-admitted services, and mortality data collections. Health service utilisation and outcomes were compared “Pre-pandemic” (PP): 16th March 2018 – 28th August 2019 and “During pandemic” (DP): 16th March 2020 – 28th August 2021. Mortality data were available until December 2021.ResultsHeart failure-related ED presentations and hospital admissions were similar between the periods (PP = 15,324 vs DP = 15,023 ED presentations, PP = 24,072 vs DP = 23,145 hospital admissions), though rates of admission from ED were lower DP (PP = 12,783/15,324 (83.4% [95% CI 82.8-84.0]) vs DP = 12,230/15,023 (81.4% [95% CI 80.8-82.0%]). There was no difference according to age, sex, rurality, or socioeconomic status. Outpatient volume reduced DP (PP = 44,447 vs DP = 35,801 occasions of service), but telehealth visits increased nearly threefold (PP = 5,978/44,447 (13.4% [95% CI 13.1-13.8%]) vs DP = 15,901/35,801 (44.4% [95% CI 43.9-44.9%]) with highest uptake among the wealthy and those in major cities. Time to heart failure-related ED presentation, hospitalisation or all-cause mortality following index admission was longer DP (PP = 273 [IQR 259, 290] days, DP = 323 [IQR 300, 342] days, HR 0.91 [95% CI 0.88, 0.95]).ConclusionsPolicies implemented DP had minimal impact on volumes of inpatient heart failure care in NSW hospitals, but there were fewer admissions from ED and reduced volumes of publicly funded outpatient care. A rapid shift from patient-facing to remotely delivered care enabled compliance with restrictions and was associated with increased time to heart failure-related adverse events, but access was not afforded equally across the socio-demographic spectrum.

Examining the clinical role and educational preparation of heart failure nurses across Europe. A survey of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP) of the ESC

AimsTo describe the clinical practice and educational preparation of heart failure (HF) nurses across Europe and determine the key differences between countries.Methods and resultsA survey tool was developed, in English, by the Heart Failure Association Patient Care committee of the European Society of Cardiology (ESC). It was translated into eight languages, before electronically disseminated by nurse ambassadors, presidents of HF national societies and through social media. A total of 837 nurses involved in the daily care of patients with HF from 15 countries completed the survey. Most nurses, 78% (n = 395) worked within a hospital outpatient setting, and 51% (n = 431) had access to a specialized HF multidisciplinary team. Nurses performed a range of activities including patient education to promote self‐care, virtual and in‐person symptom monitoring. A third had more than 5‐year experience in cardiac care and 22% (n = 182) prescribed HF medications. There was a significant correlation between HF nurses that prescribed HF medications and access to a specialist multidisciplinary team (p = 0.04). A small number of nurses, mainly from Belgium, supported invasive monitoring (n = 68, 8%) with 14% (n = 120) of mostly Danish nurses supporting exercise programmes. The majority of nurses surveyed were committed to further academic professional development, with 41% (n = 343) having completed a HF course.ConclusionThe role of the HF nurse varies across Europe, however involvement in patient education, symptom monitoring and follow‐up remain core to their practice. In specific activities including the prescribing of HF medications and involvement in invasive monitoring, practice has advanced with collaboration in the multidisciplinary team. Consequently, harmonization of education, training and career pathways are required to standardize HF care aligned with expert guidelines across Europe.

Components of home-based palliative and supportive care for adults with heart failure: A scoping review.

Palliative care and supportive care provided in the home for people with heart failure can improve quality of life, caregiver wellbeing and reduce healthcare costs. Identifying components of home-based palliative and supportive care in heart failure is useful to inform tailored care to people with heart failure. To identify and describe components of home-based palliative and supportive care in adults with heart failure. A scoping review was undertaken in accordance with Joanna Briggs Institute guidelines. The protocol was registered prospectively with the Open Science Framework (https://doi.org/10.17605/OSF.IO/GHCME). Embase, PubMed, CINAHL and Cochrane databases were searched from inception in May 2023 and re-run in January 2024. Original research focussed on palliative and supportive care in the home setting that included adults diagnosed with heart failure who have not undergone nor awaiting a heart transplant was included. Results were extracted from 13 papers based on eight studies. The findings highlight that nurses supported by a multidisciplinary team, providing symptom management, patient and carer education and discussion of goals of care and advance care planning, facilitates home-based palliative and supportive care for people with heart failure. Ensuring patient and caregiver-centred care supported by a multidisciplinary team is essential to delivering home-based palliative and supportive care for people with heart failure. Further research focussed on the role of digital interventions in home-based palliative and supportive care, the composition of the multidisciplinary team and research which includes individuals across all stages of heart failure is needed.

Epidemiology of recurrent myocardial infarction in the reperfusion era

Abstract Introduction During the past decades, the incidence, management, and outcomes of myocardial infarction (MI) have improved considerably.(1-4) However, the characteristics and outcomes of patients who experience a recurrent MI are sparsely described. Purpose This study aimed to analyse the epidemiology and temporal trends of recurrent MI during the reperfusion era. Methods A nationwide registry-based cohort study was conducted, including all hospital admissions for recurrent MI in Denmark during 2000 to 2020. Descriptive statistics were used to analyse changes in patient characteristics and management. Survival analyses, taking competing risks into account when relevant, and multivariable Cox proportional hazards models adjusted for sex, age, comorbidities, and pre-recurrent MI pharmaceutical treatment were used to analyse the outcomes of interest: all-cause mortality, hospitalisation for heart failure (HHF), and additional recurrent MI. Results A total of n=55,722 admissions for recurrent MI between 2000 and 2020 were included. Median age at admission was 73 years, 68.0% were male, and 32.9% were patients with a 3rd or more recurrent MI. Between 2000-02 (n=9,490) and 2018-20 (n=5,520), patients admitted with a recurrent MI had an increased prevalence of comorbidities such as diabetes, chronic kidney disease, and cancer (Condensed Table 1). Likewise, the use of guideline directed management at the time of recurrent MI increased during the study period: percutaneous coronary intervention (PCI) from 12.8% to 47.2%, coronary angiography (CAG) from 21.8% to 68.0%, statins from 30.5% to 74.2%, and adenosine diphosphate (ADP) receptor inhibitors from 8.2% to 41.8%. Statistically significant linear calendar time trends were observed for all three outcomes (Figure 1). Between 2000-02 and 2018-20 (Figure 2), the absolute 1-year risk of mortality declined from 31.6% to 16.0% (adjusted hazard ratio [aHR]: 0.46 [95% CI: 0.43-0.50]). The absolute 1-year risk of an additional recurrent MI declined from 13.9% to 6.2% (aHR: 0.38 [0.34-0.43]). The absolute 1-year risk of HHF increased from 8.8% in 2000-02 to 10.5% in 2009-11 (aHR: 1.09 [0.99-1.21]), before declining to 7.4% in the final calendar year period (aHR: 0.75 [0.66-0.84]). Interpretation and conclusion Despite remarkable advances in the management and outcomes of patients experiencing recurrent MI during the reperfusion era, this remains a vulnerable, high-risk population. Special attention is warranted regarding the optimization of guideline directed care and prevention of heart failure following a recurrent MI.Figure 1Figure 2 & Condensed Table 1

The impact of heart failure caregiver burden and patient heart failure severity: analysis of the needs assessment tool: advanced heart failure (NAT: PD-HF)

Abstract Background Not only patients with heart failure (HF), but also their caregivers have reported experiencing distress, depression, anxiety, social isolation, and health problems related to caring for a patient. Needs assessment tools have been used in clinical practice to identify patients' problems and needs from an early stage, however, their relationship with caregiver burden and the severity of the HF patients they care for has not been well investigated. Purpose The purpose of this study is to examine the relationship between distress and HF severity in patients and their caregivers using the Needs Assessment Tool: Progressive Disease-Heart Failure (NAT: PD- HF). Methods We enrolled consecutive 106 chronic HF patients who were admitted to a university hospital and assessed needs by the NAT: PD-HF between February 2023 and July 2023. We also enrolled 95 of their caregivers. The NAT: PD-HF is administered by the health care provider in the form of an interview with the patient and their caregiver. The questionnaire consists of an assessment of the patient's well-being and an assessment of the caregiver's ability to care for the patient. The healthcare provider completes the tool by indicating the level of distress (none, mild, significant) for each section. The severity of the New York Heart Association (NYHA) functional classification is examined in each patient. Results The median age was 72 years (interquartile range 59-81), and 41% were in NYHA class III or IV. The most common relationship between patients and their primary caregivers was partners (53%), followed by children (26%), parents (8%), and siblings (5%). There were 100 patients (94%) with more than mild distress, 57 with NYHA I or II and 43 with NYHA III or IV (P = 0.037). There were also 84 (88%) caregivers with more than mild distress, 47 with NYHA I or II, and 37 with NYHA III or IV of the patients they cared for (P = 0.026). Twenty-four patients (22.6%) were in severe distress, of which 10 were NYHA I or II and 14 were NYHA III or IV (P = 0.044). Among caregivers, 18 (18.9%) were in severe distress, of whom 6 with NYHA I or II and 12 with NYHA III or IV for whom they are caring (P = 0.010). Conclusions Regardless of the severity of HF, caregivers were found to experience distress as similar rate as that in the HF patients they cared for. The proportion of patients and caregivers experiencing distress was found to increase with the severity of HF. It is important to introduce palliative care for HF from the early stage of the disease and to support not only the patient but also the caregivers by using screening tools to identify distress.

Influence of process-focused patient care on clinical outcomes among hospitalized heart failure patients in the cardiology ward

Abstract Background The implementation of a process-oriented organizational structure in patient care allows for a comprehensive and optimized approach. In the context of heart failure (HF), it remains uncertain whether the establishment of a specialized hospitalisation team can contribute to improved major clinical outcomes. Purpose To analyse the rates of all-cause hospitalisation, cardiovascular hospitalization, HF hospitalization and overall mortality at 180 days among patients admitted to the Cardiology ward for HF, both prior to and after the implementation of a specialized HF hospitalisation team. Methods The study included all patients discharged from the Cardiology department with HF as the primary diagnosis and subsequent outpatient follow-up by the Community HF Unit in both 2019 and 2022. Clinical outcomes were compared between two distinct periods: the pre-implementation year of 2019 and the subsequent year of 2022, characterized by process-oriented HF care. Statistical analyses were performed using Kaplan-Meier and adjusted Cox proportional-hazards models. Results A total of 140 patients were enrolled in the study, comprising 55 individuals receiving care from a conventional ward team in 2019 and 85 under the specialized HF team in 2022. The mean age of the cohort was 69.4 years (+/-11.8), with a mean LVEF of 40.6%. The pre-implementation group showed a higher percentage of male patients (73% vs. 47%; p=0.003) and LVEF was lower in the HF team period (38.9% vs. 43.4%; p=0.045), with no statistically significant differences in other baseline variables. As shown in figure 1, over 180 days of follow-up, 15 patients (27.6%) were admitted to hospital in the conventional ward team period and 13 (15.3%) in the HF team period (hazard ratio [HR] 0.44; 95% confidence interval [CI] 0.19 to 0.99; P=0.047). Of these hospitalisations, 13 patients (23.6%) in pre-implementation period and 10 (11.8%) in post-implementation period were attributed to cardiovascular events (HR 0.40; 95% CI 0.16 to 0.99; P=0.049). Additionally, there was a reduction in the rate of heart failure admissions in the post-implementation period compared to the pre-implementation time (HR 0.30; 95% CI 0.09 to 0.94; P=0.039). Furthermore, a significant decline in all-cause of death was observed in patients treated by HF-team in 2022 compared to patients receiving care from the conventional ward team (log-rank test, p=0.015). Conclusions The implementation of a process-oriented organizational model within the Cardiology unit consisting in the provision of patient care by a team specialized in HF management, is associated with a statistically significant reduction in major clinical outcomes such as all-cause hospitalization, cardiovascular hospitalization and HF readmission, alongside a reduction in overall mortality rates at 180 days.

Beyond telehealth in heart failure, how a nurse-led mobile team unit improves management and reduces re-admission in elderly patients living in a rural area

Abstract Introduction Telehealth plays a crucial role in improving access to healthcare for elderly patients with heart failure (HF), particularly those who live in under-resourced geographic areas, have physical disabilities, or have difficulties with transportation. However, extending and improving telehealth faces significant obstacles, primarily due to its inadequacy to fully assess a patient's clinical status. While some components of HF can be measured remotely, others, such as cardiac and lung examinations, require in-person clinical evaluation. This leads to imprecise assessments of HF severity, excessive medical consultations, and inappropriate emergency transfers or hospitalization. We conducted an evaluation of a specialized mobile team unit (MTU) for HF care in a rural area. The team consisted of nurses trained in performing electrocardiograms (ECGs) and point-of-care ultrasound (POCUS) to extend telemonitoring services to elderly patients with HF in the comfort of their homes. This approach offers a direct and optimal evaluation of the patient's condition. Purpose This study aimed to evaluate the added value of an MTU in assessing and optimizing treatment for HF in elderly patients, ultimately leading to decreased hospitalization or medical request rates. Materials and methods This retrospective analysis examined data from elderly patients diagnosed with HF, who participated in a 6-month telemonitoring program, and received MTU visits. MTU was activated by the telemonitoring team, in patients presenting signs of decompensation, with an imprecise assessment of severity based on digital data only. Results During six months, 165 elderly patients were included in the telemonitoring platform after index HF hospitalization. The mobile team traveled over 3,040 kilometers in a rural area with limited cardiological care. They visited 84 patients (50.9%), offering personalized education and physical assessments to all of the patients, 45% received additional imaging (EKG, POCUS). This resulted in 30% therapeutic adjustments, 90% fewer General practitioner (GP) /Cardiologist consultations and 54% avoided readmissions: 20% of hospitalizations were avoided immediately and 34% likely avoided in the near future, demonstrating the intervention's 80% effectiveness. Conclusion Monitoring heart failure (HF) in elderly patients can be challenging, especially in rural areas with limited access to care, few caregivers, cognitive impairments, or difficulty using e-health platforms. This study emphasizes the benefits of a nurse-led mobile team unit in providing a reliable direct assessment of HF severity. This home intervention provides education, strengthens the decision-making capacity of the remote monitoring platform, assists with patient management, and significantly reduces the readmission rate.

Sources of stress and outcomes in carepartners of persons with chronic heart failure

Abstract Background Serving as a carepartner (CP) for someone with chronic heart failure (HF) can be challenging and difficult and may yield adverse psychological outcomes. Sources of HF CP burden and strain may come from physical, informational, and tangential demands. Yet additional life events and sources of stress may be present and compound experiences of HF CPs. Greater understanding of the factors associated with stress sources is needed to direct CP assessment and interventions. Purposes To explore the contributions of CP perceptions of HF care burden and strain, other sources of stress from occupational type and working status, and financial concerns to CP psychological outcomes and to examine the influence of social support in mitigating these outcomes. Methods CPs of persons with chronic HF, defined as providing care for the person with HF at least 4 hours a week, were enrolled. Baseline variables and measures were demographics (age, marital status, education), sources of stress (CP perceived strain and burden [Oberst, STRAIN], caring for others, occupation type, working status, and financial concerns. Psychological outcomes were overall perceived stress (PSS) and depression (CES-D) with social support measured by the Enriched Social Support Inventory (ESSI). Relationships among stress sources and outcomes were assessed using best model subsets regression analysis (Akaike information criterion) comparing the models with and without adjusting for social support. For each model, age, caring for others, CG strain (mental and physical), CG burden (time and difficulty), financial worry, occupation type and status were considered for the model. Results CPs of persons with HF (n=127; 92% women; 58% Black; primarily spouses and adult children) were included. For stress, the best model included age, caring for others, mental strain, occupation and CP burden of difficulty and time (adjusted r2=0.381). After adjusting for social support, occupation type was not significant, and adjusted r2 increased to 0.462. For depression, caring for others and CP burden (difficulty) were included in the best model subset (adjusted r2=0.208). After adjusting for social support, caring for others was not significant, and the adjusted r2 increased to 0.286. Conclusion Sources of stress from higher perceived CP burden of the person with HF, occupation type, and having other caregiving roles contributed to overall stress with social support mitigating the effects of occupation type and caring for others. These findings support further study of comprehensive assessments of sources of stress and their contributions to adverse psychological outcomes for CPs within the context of social support to tailor CP interventions to the CP’s specific needs. The consistent role of social support in attenuating psychological stress warrants study of ways to clinically incorporate social support into interventions to improve outcomes for CPs.

Impact of a clinician-to-clinician electronic consultation program in heart failure patients with previous hospitalization. Implications for heart failure multidisciplinary management

Abstract Background A clinician-to-clinician electronic consultation (e-consultation) programme may not only improve the accessibility to care but may also impact patient outcomes, particularly in heart failure (HF) patients with a previous episode of hospitalization (HFH), group of patients associated with a worse outcome. Purpose To evaluate the impact of an outpatient care management programme that includes a clinician-to-clinician e-consultation on delay time in care, hospital admissions, and mortality in a high-risk group of patients with heart failure (HF) and previous episodes of HF hospitalization (HFH). Materials and methods We selected 6444 HF patients who visited the cardiology service at least once between 2010 and 2021. Of these, 4146 were attended in e-consultation, and 2230 had previous HFH (Fig 1a). Using an interrupted time series regression model, we analysed the impact of incorporating e-consultation into the healthcare model in the group of patients with HFH and evaluated the elapsed time to cardiology care, HF, cardiovascular (CV), and all-cause hospital admissions and mortality, calculating the incidence relative risk (iRR). We performed a multivariate logistic regression for each of these outcomes in both groups. Results Patients with HFH had a higher prevalence of men (P < 0.001) but had a similar age (P = 0.267) compared to patients without HFH. Patients with HFH had a higher prevalence of diabetes (P < 0.001), ischaemic heart disease (P = 0.036), and peripheral arterial disease (P = 0.008) (Fig 1b). In the group of patients with HFH, the introduction of e-consult substantially decreased waiting times to cardiology care (8.6 [8.7] vs. 55.4 [79.9] days, P < 0.001) (Fig 2a). In that group of patients, after e-consult implantation, hospital admissions for HF were reduced (iRR [95%CI]: 0.837 [0.840–0.833]), 0.900 [0.862–0.949] for CV and 0.699 [0.678–0.726] for all-cause hospitalizations (Fig 2b). There was also lower mortality (iRR [95%CI]: 0.715 [0.657–0.798] due to HF, 0.737 [0.764–0.706] for CV and 0.687 [0.652–0.718] for all-cause) (Fig 2c). The improved outcomes after e-consultation implementation were significantly higher in the group of patients with previous HFH. The multivariate analyses showed a higher risk of hospitalizations in men, patients with HFH, and those who required more emergency department assistance (Fig 2d). Conclusions In patients with HFH, an outpatient care programme that includes an e-consultation significantly reduced waiting times to cardiology care and was safe, with a lower rate of hospital admissions and mortality in the first year. Our results may have implications for optimize the heart failure care organization.Figure 1Figure 2

Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review

Heart failure (HF) is a leading cause of mortality, morbidity, and financial burden worldwide. The emergence of advanced artificial intelligence (AI) technologies, particularly Generative Pre-trained Transformer (GPT) systems, presents new opportunities to enhance HF management. In this review, we identified and examined existing studies on the use of ChatGPT in HF care by searching multiple medical databases (PubMed, Google Scholar, Medline, and Scopus). We assessed the role of ChatGPT in HF prevention, diagnosis, and management, focusing on its influence on clinical decision-making and patient education. However, ChatGPT faces limited training data, inherent biases, and ethical issues that hinder its widespread clinical adoption. We review these limitations and highlight the need for improved training approaches, greater model transparency, and robust regulatory compliance. Additionally, we explore the effectiveness of ChatGPT in managing HF, particularly in reducing hospital readmissions and improving patient outcomes with customized treatment plans while addressing social determinants of health (SDoH). In this review, we aim to provide healthcare professionals and policymakers with an in-depth understanding of ChatGPT’s potential and constraints within the realm of HF care.

Systematic Review of Case Manager Nurse in Heart Transplant and Heart Failure Consultation

ObjectiveTo analyze the functions and activities of the case manager nurse in the specialized practice of transplantation and heart failure. MethodThis systematic review is reported according to the PRISMA guidelines. Selected articles were subjected to a detailed critical reading and the evidence levels and recommendation grades of the Joanna Briggs Institute were verified. The field of documentation search was limited to the last 5 years. ResultsHealth education provided by nursing is key in patients with heart failure and heart transplants. It must be evidence-based and focuses primarily on promoting self-care and adherence to therapy, although it includes other aspects such as recognition of signs and symptoms by the patient. Both activities are essential to prevent decompensations of heart failure, thus reducing hospital readmissions and mortality rates. ConclusionNursing has an essential role in multidisciplinary programs for the care of heart failure and heart transplant patients. Case manager nurse role stands out for being cost effective, as well as for improving treatment compliance and reducing hospital stay and mortality rates. Nursing functions in this practice ensure continuity and coordination of care between the different health levels, increasing the patients’ quality of life.

Feasibility of a nurse-led, mHealth-assisted, and team-based collaborative care model for heart failure care in India: Findings from a multi-stakeholder qualitative study

Background Heart failure (HF) management is often challenging due to poor adherence to GDMT and self-care. Continuous monitoring of patients by a dedicated care manager may enhance adherence to self-care and treatment and prevent hospitalisations. For the adoption and acceptance of a collaborative care model (CCM) for HF management in Indian settings, understanding the perspectives of all stakeholders regarding its various components and feasibility is needed. Therefore, we aimed to obtain perceptions of potential challenges to care and suggestions on multiple components of the proposed CCM in managing HF and its feasibility. Methods In-depth interviews were done among HF patients, caregivers, nurses, and cardiologists from private, co-operative, and public sector tertiary care hospital settings that cater to HF patients in Kerala, India. An in-depth interview guide was used to elicit the data. Data were analysed using Python QualCoder version 2.2. We used a framework method for the analysis of data. Results A total of 22 in-depth interviews were conducted. We found that the existing care for HF in many settings was inadequate for continuous engagement with the patients. Non-adherence to treatment and other self-care measures, was noted as a major challenge to HF care. Healthcare providers and patients felt nurses were better at leading collaborative care. However, various barriers, including technical and technological, and the apprehensions of nurses in leading the CCM were identified. The stakeholders also identified the mHealth-assisted CCM as a potential tool to save money. The stakeholders also appreciated the role of nurses in creating confidence in patients. Conclusions A nurse-led, mHealth-assisted, and team-based collaborative care was recognised as an excellent step to improve patient adherence. Effective implementation of it could reduce hospitalisations and improve patients' ability to manage their HF symptoms.

A scoping review on advancements in noninvasive wearable technology for heart failure management

Wearables offer a promising solution for enhancing remote monitoring (RM) of heart failure (HF) patients by tracking key physiological parameters. Despite their potential, their clinical integration faces challenges due to the lack of rigorous evaluations. This review aims to summarize the current evidence and assess the readiness of wearables for clinical practice using the Medical Device Readiness Level (MDRL). A systematic search identified 99 studies from 3112 found articles, with only eight being randomized controlled trials. Accelerometery was the most used measurement technique. Consumer-grade wearables, repurposed for HF monitoring, dominated the studies with most of them in the feasibility testing stage (MDRL 6). Only two of the described wearables were specifically designed for HF RM, and received FDA approval. Consequently, the actual impact of wearables on HF management remains uncertain due to limited robust evidence, posing a significant barrier to their integration into HF care.

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

Introduction and ObjectivesCardiovascular implantable electronic devices (CIEDs) monitor physiologic variables that could identify subacute heart failure (HF) decompensation and impending HF hospitalization (HFH). One such algorithm uses measurements from the previous 30 days of CIED remote monitoring data to predict low-, medium-, or high-probability of HFH in the next 30 days. We sought to understand how to prospectively implement use of such algorithms in routine HF care. MethodsFrom 1/18/24 to 4/19/24, HF risk categories were predicted from scheduled remote transmissions every 30 days and from unscheduled transmissions for all patients at two 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 (GDMT), or performed other clinical action as appropriate. ResultsAmong 358 patients with 1140 remote transmissions, 72 (20%) had ≥1 transmission categorized as high-risk. 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. Forty-six (69%) patients had clinical action taken, including 28 (42%) with a diuretic intervention and 12 (18%) with GDMT augmented. ConclusionsIn this implementation study, clinicians contacted and assessed nearly all patients at high-risk for HF decompensation based on CIED remote monitoring data and intervened on more than two-thirds. A randomized clinical trial is needed to determine whether this algorithm and subsequent intervention improves clinical outcomes.

Automated Identification of HeartFailureWith Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.

The lack of automated tools for measuring care quality limits the implementation of a national program to assess guideline-directed care in heart failure with reduced ejection fraction (HFrEF). The authors aimed to automate the identification of patients with HFrEF at hospital discharge, an opportunity to evaluate and improve the quality of care. The authors developed a novel deep-learning language model for identifying patients with HFrEF from discharge summaries of hospitalizations with heart failure at Yale New Haven Hospital during 2015 to 2019. HFrEF was defined by left ventricular ejection fraction<40% on antecedent echocardiography. The authors externally validated the model at Northwestern Medicine, community hospitals of Yale, and the MIMIC-III (Medical Information Mart for Intensive Care III) database. A total of 13,251 notes from 5,392 unique individuals (age 73 ± 14 years, 48% women), including 2,487 patients with HFrEF (46.1%), were used for model development (train/held-out: 70%/30%). The model achieved an area under receiver-operating characteristic curve (AUROC) of 0.97 and area under precision recall curve (AUPRC) of 0.97 in detecting HFrEF on the held-out set. The model had high performance in identifying HFrEF with AUROC=0.94 and AUPRC=0.91 on 19,242 notes from Northwestern Medicine, AUROC=0.95 and AUPRC=0.96 on 139 manually abstracted notes from Yale community hospitals, and AUROC=0.91 and AUPRC=0.92 on 146 manually reviewed notes from MIMIC-III. Model-based predictions of HFrEF corresponded to a net reclassification improvement of 60.2 ± 1.9% compared with diagnosis codes (P< 0.001). The authors developed a language model that identifies HFrEF from clinical notes with high precision and accuracy, representing a key element in automating quality assessment for individuals with HFrEF.

Improving transitional care after acute myocardial infarction: A scoping review.

Cardiovascular disease remains the leading cause of morbidity and mortality, posing a significant challenge to healthcare systems worldwide. Transitional care interventions, which ensure coordination and continuity of care as patients move between different levels of healthcare, have been shown to reduce unnecessary healthcare utilization and improve patient outcomes. While much attention has been given to transitional care in heart failure, this review aims to map the interventions implemented for patients following an acute myocardial infarction (AMI). A scoping review was conducted following the Joanna Briggs Institute (JBI) methodology, with literature searches performed in the Cochrane, CINAHL, MEDLINE, JBI, and SciELO databases, focusing on publications from 2013 onwards in both Portuguese and English. Seventy-five studies were included, with most combining multiple interventions that contributed to improved cardiovascular health outcomes, including increased adherence to healthy lifestyle behaviors, enhanced medication compliance, and better healthcare self-management. These interventions were effective in reducing cardiovascular-related Emergency Department visits, unplanned 30-day readmissions, and mortality following a first-time myocardial infarction. Key strategies identified included discharge planning, digital health solutions, outpatient care, and healthcare coordination. The findings of this review underscore the need for developing methodologies that enhance the transition of care from hospital to primary care following an AMI. There is an urgent need to design and implement new healthcare programs that integrate discharge interventions, digital health, outpatient care, and healthcare coordination to ensure continuity of care and optimize patient outcomes post-discharge.

Beyond Guideline-Directed MedicalTherapy: Nonpharmacologic Management for Patients With HeartFailure.

Heart failure (HF) is a leading cause of cardiovascular morbidity, mortality, and health care expenditure. Guideline-directed medical therapy and device-based therapy in HF are well established. However, the role of nonpharmacologic modalities to improve HF care remains underappreciated, is underused, and requires multimodal approaches to care. Diet,exercise and cardiac rehabilitation, sleep-disordered breathing, mood disorders, and substance use disorders are potential targets to reduce morbidity and improve function of patients with HF. Addressing these factors may improve symptoms and quality of life, reduce hospitalizations, and improve mortality in heart failure. This state-of-the-art reviewdiscusses dietary interventions, exercise programs, and the management of sleep-disordered breathing, mood disorders, and substance use in individuals with heart failure. The authors review the latest data and provide optimal lifestyle recommendations and recommended prescriptions for nonpharmacologic therapies.

Using Implementation Science to Evaluate the Implementation of Patient-Reported Outcome Measures (PROMs) in a Clinical Heart Failure Care Setting

BackgroundPatients with heart failure (HF) can experience a poor quality-of-life (QOL), recurring hospitalizations, and progressive disease symptoms. Patient-reported outcome measures (PROMs) include integration of patients’ voices into clinical care, by assessing patient symptoms, function, and QOL. In 2022, PROMs were incorporated into the electronic health record system (Epic) at a large academic hospital in Toronto, Ontario, Canada. The purpose of this study was to use implementation-science frameworks to systematically evaluate the uptake and integration of PROMs into clinical HF care. MethodsThe Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework guided this mixed-methods, 1-year, quality-improvement project. Data sources included the following: clinician use of PROMs; patient-level data on completed PROMs; and semistructured interviews with clinicians. The PROM was the Kansas City Cardiomyopathy Questionnaire-12, which captures 4 domains related to HF—symptom frequency, physical limitations, social limitations, and QOL. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using behaviour-change frameworks and latent content analysis. ResultsOver the course of 1 year, more patients were assigned to PROMs, a higher proportion of patients completed PROMs, and approximately 80% of patients had high scores on the questionnaire. Clinicians experience barriers—related to attention and decision processes, the environmental context, and their professional role—to integrating PROMs into practice. Suggested changes to improve PROM uptake include adding language licenses for PROM translations, reducing cognitive load for clinicians who are assigning and interpreting PROMs in the Epic system, and championing modelling of use of PROMs in practice. ConclusionsThis study demonstrates the benefit of using implementation science frameworks, to evaluate the implementation of PROMs in practice and provide actionable recommendations to health systems.

Efficacy, Safety and Mechanistic Impact of a Heart Failure Guideline-Directed Medical Therapy Clinic

BackgroundAlthough clinical evidence supports rapid institution of guideline-directed medical therapy (GDMT) for heart failure (HF), in actual practice, there remain large gaps in adherence to guideline recommendations. Recent data support safety and efficacy of rapid GDMT implementation; however, rapid GDMT deployment within a general cardiology environment remains unexplored. ObjectivesThe purpose of this study was to evaluate the efficacy and safety of a GDMT clinic within a general cardiology practice relative to usual care, the impact on prescription of GDMT, HF symptoms, N-terminal pro–B-type natriuretic peptide concentrations and echocardiographic parameters of remodeling. MethodsIndividuals with HF with an abnormal ejection fraction (<50%) referred to the GDMT clinic underwent rapid GDMT titration with close monitoring of clinical data. Rates of GDMT prescription were compared with a matched reference group. Patients underwent echocardiography at baseline and after GDMT clinic completion. ResultsA total of 114 persons were treated in GDMT clinic. The mean age was 67.6 ± 14.6 years, and 32 (28%) were women. Among those referred, 100 (87.7%) had no contraindications for 4-drug GDMT. From baseline to clinic completion (median 15.8 weeks [Q1-Q3: 10.7-23.0 weeks]), patients without medication contraindications experienced significant increases in 4-drug GDMT use (from 21% to 88%; P < 0.001); of 4-drug GDMT recipients, 92% received angiotensin receptor neprilysin inhibitor. GDMT clinic participants achieved higher medication doses than those in usual care, with greater achievement of ≥50% target dose of angiotensin receptor neprilysin inhibitor (52% vs 8%), beta-blocker (78% vs 6.2%), mineralocorticoid receptor antagonist (98% vs 15.6%), and sodium-glucose cotransporter 2 inhibitors (92% vs 6.2%). Target doses of all 4 drugs were reached in nearly 1 in 4 participants. HF symptoms improved (94% to 75% NYHA functional class II/III; P < 0.001) and N-terminal pro–B-type natriuretic peptide concentration decreased (median 587 to 534 ng/L; P = 0.03) despite loop diuretic reduction. Additionally, we observed an absolute 6% LVEF increase (from 37% [Q1-Q3: 31%-41%] to 43% [Q1-Q3: 38%-53%]; P < 0.001) and substantial decrease in moderate or severe mitral regurgitation. GDMT titration was well-tolerated. ConclusionsRapid GDMT implementation via an outpatient GDMT clinic was effective, safe, and associated with improvement in key clinical parameters. The more widespread role of GDMT clinics to improve HF care warrants further study.

Cardio-Oncology and Heart Failure: A Scientific Statement from the Heart Failure Society of America.

Heart failure and cancer remain two of the leading causes of morbidity and mortality and the two disease entities are linked in a complex manner. Patients with cancer are at increased risk of cardiovascular complications related to the cancer therapies. The presence of cardiomyopathy or heart failure in a patient with new cancer diagnosis portends a high risk for adverse oncology and cardiovascular outcomes. With the rapid growth of cancer therapies, many of which interfere with cardiovascular homeostasis, heart failure practitioners need to be familiar with prevention, risk stratification, diagnosis, and management strategies in cardio-oncology. This Heart Failure Society of America statement addresses the complexities of heart failure care among patients with active cancer diagnosis and cancer survivors. Risk stratification, monitoring, and management of cardiotoxicity are presented across Stages A through D heart failure, with focused discussion on heart failure preserved ejection fraction and special populations such as survivors of childhood and young adulthood cancers. We provide an overview of the shared risk factors between cancer and heart failure, highlighting heart failure as a form of cardiotoxicity associated with many different cancer therapeutics. Finally, we discuss disparities in the care of patients with cancer and cardiac disease and present a framework for a multidisciplinary team approach and critical collaboration between heart failure, oncology, palliative care, pharmacy, and nursing teams in the management of these complex patients.