Current and projected burden of heart failure in the Australian adult population: a substantive but still ill-defined major health issue

2023 Cardiac Society of Australia and New Zealand Expert Position Statement on Catheter and Surgical Ablation for Atrial Fibrillation

Catheter ablation for atrial fibrillation (AF) has increased exponentially in many developed countries, including Australia and New Zealand. This Expert Position Statement on Catheter and Surgical Ablation for Atrial Fibrillation from the Cardiac Society of Australia and New Zealand (CSANZ) recognises healthcare factors, expertise and expenditure relevant to the Australian and New Zealand healthcare environments including considerations of potential implications for First Nations Peoples. The statement is cognisant of international advice but tailored to local conditions and populations, and is intended to be used by electrophysiologists, cardiologists and general physicians across all disciplines caring for patients with AF. They are also intended to provide guidance to healthcare facilities seeking to establish or maintain catheter ablation for AF.

Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning

Heart failure (HF) encompasses a diverse clinical spectrum, including instances of transient HF or HF with recovered ejection fraction, alongside persistent cases. This dynamic condition exhibits a growing prevalence and entails substantial healthcare expenditures, with anticipated escalation in the future. It is essential to classify HF patients into three groups based on their ejection fraction: reduced (HFrEF), mid-range (HFmEF), and preserved (HFpEF), such as for diagnosis, risk assessment, treatment choice, and the ongoing monitoring of heart failure. Nevertheless, obtaining a definitive prediction poses challenges, requiring the reliance on echocardiography. On the contrary, an electrocardiogram (ECG) provides a straightforward, quick, continuous assessment of the patient's cardiac rhythm, serving as a cost-effective adjunct to echocardiography. In this research, we evaluate several machine learning (ML)-based classification models, such as K-nearest neighbors (KNN), neural networks (NN), support vector machines (SVM), and decision trees (TREE), to classify left ventricular ejection fraction (LVEF) for three categories of HF patients at hourly intervals, using 24-hour ECG recordings. Information from heterogeneous group of 303 heart failure patients, encompassing HFpEF, HFmEF, or HFrEF classes, was acquired from a multicenter dataset involving both American and Greek populations. Features extracted from ECG data were employed to train the aforementioned ML classification models, with the training occurring in one-hour intervals. To optimize the classification of LVEF levels in coronary artery disease (CAD) patients, a nested cross-validation approach was employed for hyperparameter tuning. HF patients were best classified using TREE and KNN models, with an overall accuracy of 91.2% and 90.9%, and average area under the curve of the receiver operating characteristics (AUROC) of 0.98, and 0.99, respectively. Furthermore, according to the experimental findings, the time periods of midnight-1 am, 8-9 am, and 10-11 pm were the ones that contributed to the highest classification accuracy. The results pave the way for creating an automated screening system tailored for patients with CAD, utilizing optimal measurement timings aligned with their circadian cycles.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Clinical to Population Prevalence of Hypertrophic Cardiomyopathy Phenotype: Insights From the National Echo Database Australia

BACKGROUND

There is a paucity of data describing the underlying prevalence of hypertrophic cardiomyopathy (HCM), a primary genetic disorder characterised by progressive left ventricular (LV) hypertrophy and sudden death, from both a clinical and a population perspective.

METHODS

We screened the echocardiographic reports of 155,668 men and 147,880 women within the multicentre National Echo Database Australia (NEDA) (2001-2019). End-diastolic wall thickness ≥15 mm anywhere in the left ventricle was identified as a characteristic of an HCM phenotype according to current guideline recommendations. Applying a septal-to-posterior wall thickness ratio >1.3 and LV outflow tract obstruction ≥30 mmHg (when documented), we further identified asymmetric septal hypertrophy and obstructive HCM (oHCM), respectively. The observed pattern of phenotypical HCM within the overall NEDA cohort (>650,000 cases) was then extrapolated to the ∼539,000 (5.7% of adult population) and ∼474,000 (4.8%) Australian men and women, respectively, who were investigated with echocardiography in 2021 on an age-specific basis.

RESULTS

Overall, 15,380 cases (mean age 71.1±14.6 years, 10,138 men [65.9%]) with the characteristic HCM phenotype within the NEDA cohort were identified. Of these 15,380 cases, 5,552 (36.1%) had asymmetric septal hypertrophy, and 2,276 of the 10,290 cases with LV outflow tract obstruction profiling data (22.1%) had obstructive HCM. A further 3,389 of 13,715 cases (24.7%) had evidence of LV systolic dysfunction (LV ejection fraction <55%). Within the entire NEDA cohort (including those without LV profiling), HCM was found in 10,138 of 342,161 men (2.96%; 95% confidence interval [CI] 2.91%-3.02%) and 5,242 of 308,539 women (1.70%; 95% CI 1.65%-1.75%). When extrapolated to the Australian population, we estimate that a minimum of 15,971 men and 8,057 women presented with echocardiographic features of phenotypical HCM in 2021. This translates into a minimum caseload/prevalence of ∼17 adult men (∼2.5 in those aged ≤50 years) and eight adult women (∼1 in those aged ≤50 years) per 10,000 population meeting phenotypical HCM criteria.

CONCLUSIONS

Using contemporary Australian echocardiographic and population data, we estimate that a minimum of 15,971 (17.5 cases/10,000) men and 8,057 women (8.2 cases/10,000) had echocardiographic evidence of phenotypical HCM in 2021. These disease burden data are particularly relevant as new treatment options are emerging.

Testosterone and the heart: friend or foe?

Cardiovascular disease (CVD) is the leading cause of death in women aged 65 years and older. Sex hormones have been implicated as having a critical role in the evolution of CVD, with the focus mainly on estrogens in women. Available data also indicate that low testosterone blood levels may be detrimental to cardiovascular function in women. At blood concentrations considered normal for premenopausal women, testosterone has favorable effects on blood vessel function (relaxation and contraction), much of which is determined by the endothelial cells that line the inside of blood vessels. Testosterone enhances endothelium-dependent and independent brachial artery vasodilation and has an acute systolic blood pressure-lowering effect in postmenopausal women. Advantageous effects of testosterone in animal models have been seen for myocardial function and cardiac electrical signaling. Human data are mainly limited to observational and mechanistic studies, which mostly demonstrate beneficial effects of testosterone on cardiovascular health. Few studies of testosterone use in women, with cardiovascular endpoints as primary outcomes, have been published.

Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features

Heart Failure (HF) significantly impacts approximately 26 million people worldwide, causing disruptions in the normal functioning of their hearts. The estimation of left ventricular ejection fraction (LVEF) plays a crucial role in the diagnosis, risk stratification, treatment selection, and monitoring of heart failure. However, achieving a definitive assessment is challenging, necessitating the use of echocardiography. Electrocardiogram (ECG) is a relatively simple, quick to obtain, provides continuous monitoring of patient's cardiac rhythm, and cost-effective procedure compared to echocardiography. In this study, we compare several regression models (support vector machine (SVM), extreme gradient boosting (XGBOOST), gaussian process regression (GPR) and decision tree) for the estimation of LVEF for three groups of HF patients at hourly intervals using 24-hour ECG recordings. Data from 303 HF patients with preserved, mid-range, or reduced LVEF were obtained from a multicentre cohort (American and Greek). ECG extracted features were used to train the different regression models in one-hour intervals. To enhance the best possible LVEF level estimations, hyperparameters tuning in nested loop approach was implemented (the outer loop divides the data into training and testing sets, while the inner loop further divides the training set into smaller sets for cross-validation). LVEF levels were best estimated using rational quadratic GPR and fine decision tree regression models with an average root mean square error (RMSE) of 3.83% and 3.42%, and correlation coefficients of 0.92 (p<0.01) and 0.91 (p<0.01), respectively. Furthermore, according to the experimental findings, the time periods of midnight-1 am, 8-9 am, and 10-11 pm demonstrated to be the lowest RMSE values between the actual and predicted LVEF levels. The findings could potentially lead to the development of an automated screening system for patients with coronary artery disease (CAD) by using the best measurement timings during their circadian cycles.

Effects of a low carbohydrate diet on heart failure symptoms and quality of life in patients with diabetic cardiomyopathy: A randomised controlled trial pilot study

BACKGROUND AND AIMS

Heart failure, insulin resistance and/or type 2 diabetes mellitus coexist in the syndrome that is diabetic cardiomyopathy. Patients with diabetic cardiomyopathy experience high symptom burden and poor quality of life. We tested the hypothesis that a low carbohydrate diet improves heart failure symptoms and quality of life in patients with diabetic cardiomyopathy.

METHODS AND RESULTS

We conducted a 16-week randomised controlled pilot trial comparing the effects of a low carbohydrate diet (LC) to usual care (UC) in 17 adult patients with diabetic cardiomyopathy. New York Heart Association classification, weight, thirst distress and quality of life scores as well as blood pressure and biochemical data were assessed at baseline and at 16 weeks. Thirteen (n = 8 LC; n = 5 UC) patients completed the trial. The low carbohydrate diet induced significant weight loss in completers (p = 0.004). There was a large between-group difference in systolic blood pressure at the end of the study (Hedges's g 0.99[-014,2.08]). There were no significant differences in thirst or quality of life between groups.

CONCLUSION

This is the first clinical trial utilising the low carbohydrate dietary approach in patients with diabetic cardiomyopathy in an outpatient setting. A low carbohydrate diet can lead to significant weight loss in patients with diabetic cardiomyopathy. Future clinical trials with larger samples and that focus on fluid and sodium requirements of patients with diabetic cardiomyopathy who engage in a low carbohydrate diet are warranted.

CLINICAL TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trial Registry (ANZCTR): ACTRN12620001278921.

DATE OF REGISTRATION

26th November 2020.

Impact of a heart failure nurse practitioner service on rehospitalizations, emergency presentations, and survival in patients hospitalized with acute heart failure

AIMS

Heart failure nurse practitioners (HF NPs) are an emerging component of the heart failure (HF) specialist workforce but their impact in an inpatient setting is untested. The aim of this paper is to explore the impact of an inpatient HF NP service on 12-month all-cause rehospitalizations, emergency department (ED) presentations, and mortality in patients hospitalized with HF compared with usual hospital care.

METHODS AND RESULTS

Retrospective, two-group comparative design involving patients (n = 408) admitted via ED with acute HF to a metropolitan quaternary hospital between January 2013 and August 2017. Doubly robust estimation with augmented inverse probability weighting (DR-AIPW) was used to account for the non-random allocation of patients to usual hospital care or the HF NP service in addition to usual in-hospital care. Among 408 patients (186 usual care and 222 HF NP service) admitted with acute HF, the mean age was 76.5 [standard deviation (SD) 12.0] years and 56.4% (n = 230) were male. After IPW adjustment, patients seen by the HF NP service had a lower risk of 12-month rehospitalization (61.3 vs. 78.3% usual care; difference -16.9%, 95% CI: -26.4%, -6.6%) and ED presentations (12.6 vs. 22.0%; difference -9.4%, 95% CI: -17.3%, -1.4%) with no difference in 6- or 12-month mortality. The HF NP service improved referrals to a home visiting programme that was available to HF patients (64.4 vs. 45.4%; difference 19%, 95% CI: 8.8%, 28.8%).

CONCLUSION

Additional support by an inpatient HF NP service has the potential to significantly reduce rehospitalizations and ED presentations over 12 months. Further evidence from a multicentre randomized control trial is warranted.

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.

Primary care Adherence To Heart Failure guidelines IN Diagnosis, Evaluation and Routine management (PATHFINDER): a randomised controlled trial protocol

INTRODUCTION

General practitioners (GPs) routinely provide care for patients with heart failure (HF); however, adherence to management guidelines, including titrating medication to optimal dose, can be challenging in this setting. This study will evaluate the effectiveness of a multifaceted intervention to support adherence to HF management guidelines in primary care.

METHODS AND ANALYSIS

We will undertake a multicentre, parallel-group, randomised controlled trial of 200 participants with HF with reduced ejection fraction. Participants will be recruited during a hospital admission due to HF. Following hospital discharge, the intervention group will have follow-up with their GP scheduled at 1 week, 4 weeks and 3 months with the provision of a medication titration plan approved by a specialist HF cardiologist. The control group will receive usual care. The primary endpoint, assessed at 6 months, will be the difference between groups in the proportion of participants being prescribed five guideline-recommended treatments; (1) ACE inhibitor/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitor at least 50% of target dose, (2) beta-blocker at least 50% of target dose, (3) mineralocorticoid receptor antagonist at any dose, (4) anticoagulation for patients diagnosed with atrial fibrillation, (5) referral to cardiac rehabilitation. Secondary outcomes will include functional capacity (6-minute walk test); quality of life (Kansas City Cardiomyopathy Questionnaire); depressive symptoms (Patient Health Questionnaire-2); self-care behaviour (Self-Care of Heart Failure Index). Resource utilisation will also be assessed.

ETHICS AND DISSEMINATION

Ethical approval was granted by the South Metropolitan Health Service Ethics Committee (RGS3531), with reciprocal approval at Curtin University (HRE2020-0322). Results will be disseminated via peer-reviewed publications and conferences.

TRIAL REGISTRATION NUMBER

ACTRN12620001069943.

Alignment of Doctors' Understanding of Treatment Burden Priorities and Chronic Heart Failure Patients' Experiences: A Nominal Group Technique Consultation

PURPOSE

To identify and rank areas of treatment burden in chronic heart failure (CHF), including solutions, that should be discussed during the clinical encounter from a patient, and doctors' perspective.

PATIENTS AND METHODS

Patients with CHF and clinicians managing heart failure were invited. Nominal group technique sessions held either face to face or online in 2021-2022, with individual identification of priorities and voting on ranking.

RESULTS

Four patient groups (N=22) and one doctor group (N=5) were held. For patients with heart failure, in descending order of priority Doctor-patient communication, Inefficiencies of the healthcare system, Healthcare access issues, Cost implications of treatment, Psychosocial impacts on patients and their families, and Impact of treatment work were the most important treatment burdens. Priorities independently identified by the doctors aligned with the patients' but ranking differed. Patient solutions ranged from involvement of nurses or pharmacists to enhance understanding of discharge planning, through to linkage between health information systems, and maintaining strong family or social support networks. Doctors' solutions covered timing medicines with activities of daily living, patient education on the importance of compliance, medication reviews to overcome clinical inertia, and routine clinical audits.

CONCLUSION

The top treatment burden priorities for CHF patients were related to interaction with clinicians and health system inefficiencies, whereas doctors were generally aware of patients' treatment burden but tended to focus on the complexity of the direct treatment work. Addressing the priority issues identified here can commence with clinicians becoming aware of the issues that matter to patients and proactively discussing feasible immediate and longer-term solutions during clinical encounters.

Fibroblast growth factor 21 in heart failure

Fibroblast growth factor 21 (FGF21) is a peptide hormone involved in energy homeostasis that protects against the development of obesity and diabetes in animal models. Its level is elevated in atherosclerotic cardiovascular diseases (CVD) in humans. However, little is known about the role of FGF21 in heart failure (HF). HF is a major global health problem with a prevalence that is predicted to rise, especially in ageing populations. Despite improved therapies, mortality due to HF remains high, and given its insidious onset, prediction of its development is challenging for physicians. The emergence of cardiac biomarkers to improve prediction, diagnosis, and prognosis of HF has received much attention over the past decade. Recent studies have suggested FGF21 is a promising biomarker candidate for HF. Preclinical research has shown that FGF21 is involved in the pathophysiology of HF through the prevention of oxidative stress, cardiac hypertrophy, and inflammation in cardiomyocytes. However, in the available clinical literature, FGF21 levels appear to be paradoxically raised in HF, potentially implying a FGF21 resistant state as occurs in obesity. Several potential confounding variables complicate the verdict on whether FGF21 is of clinical value as a biomarker. Further research is thus needed to evaluate whether FGF21 has a causal role in HF, and whether circulating FGF21 can be used as a biomarker to improve the prediction, diagnosis, and prognosis of HF. This review draws from preclinical and clinical studies to explore the role of FGF21 in HF.

Use of Guideline-Directed Medical Therapy in Patients Aged ≥ 65 Years After the Diagnosis of Heart Failure: A Canadian Population-Based Study

Background

Guideline-directed medical therapy (GDMT) improves clinical outcomes in patients with heart failure with reduced ejection fraction (HFrEF). Despite its proven efficacy, GDMT is underutilized in clinical practice. The current study examines GDMT utilization after incident hospitalization for HF to promote medication initiation, and titration to target dosing within a reasonable time period.

Methods

This observational study identified 66,372 patients with HFrEF who were aged ≥ 65 years and had an incident HF hospitalization, using administrative health data (2013-2018). GDMT (angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, angiotensin receptor-neprilysin inhibitors, β-blockers (BB), and mineralocorticoid receptor antagonists ) received within the 6 months after hospitalization was evaluated by monitoring therapy combinations, optimal dosing (proportion receiving ≥ 50% of the target dose for these inhibitors and blockers, and any dose of MRA), and maximal and last dose assessed, and by use of a GDMT intensity score.

Results

Among patients with HFrEF, 4768 (7.2%) were on no therapy, 17,184 (25.9%), were on monotherapy, 30,912 (46.6%) were on dual therapy, and 13,508 (20.4%) were on triple therapy. Only 8747 (13.2%) and 5484 (8.3%) achieved optimal GDMT based on the maximum dose and the last dispensed dose, respectively, within 6 months postdischarge. Finally, 38,869 (58.6%) achieved < 50% of the maximum intensity score, 23,006 (34.7%) achieved between 50% and 74% of the maximum intensity score, and 4497 (6.8%) achieved a score that was ≥ 75% of the maximum intensity score.

Conclusions

Current pharmacologic management for patients with HFrEF does not align with the Canadian guidelines. Given this gap in care, innovative strategies to optimize care in patients with HFrEF are needed.

A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial

Background

Patients hospitalized with acute coronary syndrome (ACS) or heart failure (HF) are frequently readmitted. This is the first randomized controlled trial of a mobile health intervention that combines telemonitoring and education for inpatients with ACS or HF to prevent readmission.

Objective

This study aims to investigate the feasibility, efficacy, and cost-effectiveness of a smartphone app–based model of care (TeleClinical Care [TCC]) in patients discharged after ACS or HF admission.

Methods

In this pilot, 2-center randomized controlled trial, TCC was applied at discharge along with usual care to intervention arm participants. Control arm participants received usual care alone. Inclusion criteria were current admission with ACS or HF, ownership of a compatible smartphone, age ≥18 years, and provision of informed consent. The primary end point was the incidence of unplanned 30-day readmissions. Secondary end points included all-cause readmissions, cardiac readmissions, cardiac rehabilitation completion, medication adherence, cost-effectiveness, and user satisfaction. Intervention arm participants received the app and Bluetooth-enabled devices for measuring weight, blood pressure, and physical activity daily plus usual care. The devices automatically transmitted recordings to the patients’ smartphones and a central server. Thresholds for blood pressure, heart rate, and weight were determined by the treating cardiologists. Readings outside these thresholds were flagged to a monitoring team, who discussed salient abnormalities with the patients’ usual care providers (cardiologists, general practitioners, or HF outreach nurses), who were responsible for further management. The app also provided educational push notifications. Participants were followed up after 6 months.

Results

Overall, 164 inpatients were randomized (TCC: 81/164, 49.4%; control: 83/164, 50.6%; mean age 61.5, SD 12.3 years; 130/164, 79.3% men; 128/164, 78% admitted with ACS). There were 11 unplanned 30-day readmissions in both groups (P=.97). Over a mean follow-up of 193 days, the intervention was associated with a significant reduction in unplanned hospital readmissions (21 in TCC vs 41 in the control arm; P=.02), including cardiac readmissions (11 in TCC vs 25 in the control arm; P=.03), and higher rates of cardiac rehabilitation completion (20/51, 39% vs 9/49, 18%; P=.03) and medication adherence (57/76, 75% vs 37/74, 50%; P=.002). The average usability rating for the app was 4.5/5. The intervention cost Aus $6028 (US $4342.26) per cardiac readmission saved. When modeled in a mainstream clinical setting, enrollment of 237 patients was projected to have the same expenditure compared with usual care, and enrollment of 500 patients was projected to save approximately Aus $100,000 (approximately US $70,000) annually.

Conclusions

TCC was feasible and safe for inpatients with either ACS or HF. The incidence of 30-day readmissions was similar; however, long-term benefits were demonstrated, including fewer readmissions over 6 months, improved medication adherence, and improved cardiac rehabilitation completion.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12618001547235; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375945

Process Evaluation of a Randomised Controlled Trial for TeleClinical Care, a Smartphone-App Based Model of Care

Background

A novel smartphone app-based model of care (TeleClinical Care – TCC) for patients with acute coronary syndrome (ACS) and heart failure (HF) was evaluated in a two-site, pilot randomised control trial of 164 participants in Sydney, Australia. The program included a telemonitoring system whereby abnormal blood pressure, weight and heart rate readings were monitored by a central clinical team, who subsequently referred clinically significant alerts to the patients' usual general practitioner (GP, also known as primary care physician in the United States), HF nurse or cardiologist. While the primary endpoint, 30-day readmissions, was neutral, intervention arm participants demonstrated improvements in readmission rates over 6 months, cardiac rehabilitation (CR) completion and medication compliance. A process evaluation was designed to identify contextual factors and mechanisms that influenced the results, as well as strategies of improving site and participant recruitment and the delivery of the intervention, for a planned larger effectiveness trial of over 1,000 patients across the state of New South Wales, Australia (TCC-Cardiac).

Methods

Multiple data sources were used in this mixed-methods process evaluation, including interviews with four TCC team members, three GPs and three cardiologists. CR completion rates, HF outreach service (HFOS) referrals and cardiologist follow-up appointments were audited. A patient questionnaire was also analysed for evidence of improved self-care as a hypothesised mechanism of the TCC app. An implementation research logic model was used to synthesise our findings.

Results

Rates of HFOS referral (83 vs. 72%) and cardiologist follow-up (96 vs. 93%) were similarly high in the intervention and control arms, respectively. Team members were largely positive towards their orientation and training, but highlighted several implementation strategies that could be optimised for TCC-Cardiac: streamlining of the enrolment process, improving the reach of the trial by screening patients in non-cardiac wards, and ensuring team members had adequate time to recruit (>15 h per week). GPs and cardiologists viewed the intervention acceptably regarding potential benefit of closely monitoring, and responding to abnormalities for their patients, though there were concerns of the potential additional workload generated by alerts that did not merit clinical intervention. Clear delineation of which clinician (GP or cardiologist) was primarily responsible for alert management was also recommended, as well as a preference to receive regular summary data. Several patients commented on the mechanisms of improved self-management because of TCC, which could have led to the outcome of improved medication compliance.

Discussion

Use of TCC was associated with several benefits, including higher patient engagement and completion rates with CR. The conduct and delivery of TCC-Cardiac will be improved by the findings of this process evaluation to optimise recruitment, and establishing the roles of GPs and cardiologists as part of the model.

Preventing heart failure: a position paper of the Heart Failure Association in collaboration with the European Association of Preventive Cardiology

The heart failure epidemic is growing and its prevention, in order to reduce associated hospital readmission rates and its clinical and economic burden, is a key issue in modern cardiovascular medicine. The present consensus document aims to provide practical evidence-based information to support the implementation of effective preventive measures. After reviewing the most common risk factors, an overview of the population attributable risks in different continents is presented, to identify potentially effective opportunities for prevention and to inform preventive strategies. Finally, potential interventions that have been proposed and have been shown to be effective in preventing HF are listed.

Using electronic medical record data to assess chronic kidney disease, type 2 diabetes and cardiovascular disease testing, recognition and management as documented in Australian general practice: a cross-sectional analysis

Objectives

To evaluate the capacity of general practice (GP) electronic medical record (EMR) data to assess risk factor detection, disease diagnostic testing, diagnosis, monitoring and pharmacotherapy for the interrelated chronic vascular diseases—chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease.

Design

Cross-sectional analysis of data extracted on a single date for each practice between 12 April 2017 and 18 April 2017 incorporating data from any time on or before data extraction, using baseline data from the Chronic Disease early detection and Improved Management in PrimAry Care ProjecT. Deidentified data were extracted from GP EMRs using the Pen Computer Systems Clinical Audit Tool and descriptive statistics used to describe the study population.

Setting

Eight GPs in Victoria, Australia.

Participants

Patients were ≥18 years and attended GP ≥3 times within 24 months. 37 946 patients were included.

Results

Risk factor and disease testing/monitoring/treatment were assessed as per Australian guidelines (or US guidelines if none available), with guidelines simplified due to limitations in data availability where required. Risk factor assessment in those requiring it: 30% of patients had body mass index and 46% blood pressure within guideline recommended timeframes. Diagnostic testing in at-risk population: 17% had diagnostic testing as per recommendations for CKD and 37% for T2D. Possible undiagnosed disease: Pathology tests indicating possible disease with no diagnosis already coded were present in 6.7% for CKD, 1.6% for T2D and 0.33% familial hypercholesterolaemia. Overall prevalence: Coded diagnoses were recorded in 3.8% for CKD, 6.6% for T2D, 4.2% for ischaemic heart disease, 1% for heart failure, 1.7% for ischaemic stroke, 0.46% for peripheral vascular disease, 0.06% for familial hypercholesterolaemia and 2% for atrial fibrillation. Pharmaceutical prescriptions: the proportion of patients prescribed guideline-recommended medications ranged from 44% (beta blockers for patients with ischaemic heart disease) to 78% (antiplatelets or anticoagulants for patients with ischaemic stroke).

Conclusions

Using GP EMR data, this study identified recorded diagnoses of chronic vascular diseases generally similar to, or higher than, reported national prevalence. It suggested low levels of extractable documented risk factor assessments, diagnostic testing in those at risk and prescription of guideline-recommended pharmacotherapy for some conditions. These baseline data highlight the utility of GP EMR data for potential use in epidemiological studies and by individual practices to guide targeted quality improvement. It also highlighted some of the challenges of using GP EMR data.

OUP accepted manuscript

The adult mammalian heart is recalcitrant to regeneration after injury, in part due to the postmitotic nature of cardiomyocytes. Accumulating evidence suggests that cardiomyocyte proliferation in fetal or neonatal mammals and in regenerative non-mammalian models depends on a conducive metabolic state. Results from numerous studies in adult hearts indicate that conditions of relatively low fatty acid oxidation, low reactive oxygen species generation, and high glycolysis are required for induction of cardiomyocyte proliferation. Glycolysis appears particularly important because it provides branchpoint metabolites for several biosynthetic pathways that are essential for synthesis of nucleotides and nucleotide sugars, amino acids, and glycerophospholipids, all of which are required for daughter cell formation. In addition, the proliferative cardiomyocyte phenotype is supported in part by relatively low oxygen tensions and through the actions of critical transcription factors, coactivators, and signaling pathways that promote a more glycolytic and proliferative cardiomyocyte phenotype, such as hypoxia inducible factor 1α (Hif1α), Yes-associated protein (Yap), and ErbB2. Interventions that inhibit glycolysis or its integrated biosynthetic pathways almost universally impair cardiomyocyte proliferative capacity. Furthermore, metabolic enzymes that augment biosynthetic capacity such as phosphoenolpyruvate carboxykinase 2 and pyruvate kinase M2 appear to be amplifiers of cardiomyocyte proliferation. Collectively, these studies suggest that acquisition of a glycolytic and biosynthetic metabolic phenotype is a sine qua non of cardiomyocyte proliferation. Further knowledge of the regulatory mechanisms that control substrate partitioning to coordinate biosynthesis with energy provision could be leveraged to prompt or augment cardiomyocyte division and to promote cardiac repair.

Preventing heart failure: a position paper of the Heart Failure Association in collaboration with the European Association of Preventive Cardiology

The heart failure epidemic is growing and its prevention, in order to reduce associated hospital readmission rates and its clinical and economic burden, is a key issue in modern cardiovascular medicine. The present position paper aims to provide practical evidence-based information to support the implementation of effective preventive measures. After reviewing the most common risk factors, an overview of the population attributable risks in different continents is presented, to identify potentially effective opportunities for prevention and to inform preventive strategies. Finally, potential interventions that have been proposed and have been shown to be effective in preventing heart failure are listed.

Clinical risk prediction model for 30-day all-cause re-hospitalisation or mortality in patients hospitalised with heart failure

BACKGROUND

This study aimed to develop a risk prediction model (AUS-HF model) for 30-day all-cause re-hospitalisation or death among patients admitted with acute heart failure (HF) to inform follow-up after hospitalisation. The model uses routinely collected measures at point of care.

METHODS

We analyzed pooled individual-level data from two cohort studies on acute HF patients followed for 30-days after discharge in 17 hospitals in Victoria, Australia (2014-2017). A set of 58 candidate predictors, commonly recorded in electronic medical records (EMR) including demographic, medical and social measures were considered. We used backward stepwise selection and LASSO for model development, bootstrap for internal validation, C-statistic for discrimination, and calibration slopes and plots for model calibration.

RESULTS

The analysis included 1380 patients, 42.1% female, median age 78.7 years (interquartile range = 16.2), 60.0% experienced previous hospitalisation for HF and 333 (24.1%) were re-hospitalised or died within 30 days post-discharge. The final risk model included 10 variables (admission: eGFR, and prescription of anticoagulants and thiazide diuretics; discharge: length of stay>3 days, systolic BP, heart rate, sodium level (<135 mmol/L), >10 prescribed medications, prescription of angiotensin converting enzyme inhibitors or angiotensin receptor blockers, and anticoagulants prescription. The discrimination of the model was moderate (C-statistic = 0.684, 95%CI 0.653, 0.716; optimism estimate = 0.062) with good calibration.

CONCLUSIONS

The AUS-HF model incorporating routinely collected point-of-care data from EMRs enables real-time risk estimation and can be easily implemented by clinicians. It can predict with moderate accuracy risk of 30-day hospitalisation or mortality and inform decisions around the intensity of follow-up after hospital discharge.

Characteristics and Clinical Outcomes in Patients With Heart Failure With Preserved Ejection Fraction Compared to Heart Failure With Reduced Ejection Fraction: Insights From the VCOR Heart Failure Snapshot

BACKGROUND

Heart failure is increasing in prevalence, creating a greater public health and economic burden on our health care system. With a rising proportion of hospitalisations for heart failure with preserved ejection fraction (HFpEF) compared to heart failure with reduced ejection fraction (HFrEF) and lack of proven therapies for HFpEF, patient characterisation and defining clinical outcomes are important in determining optimal management of heart failure patients. There is scarce Australian-specific data with regards to the burden of disease of patients with HFpEF which further limits our ability to appropriately manage this syndrome.

AIM

To determine the characteristics, management practices and outcomes of patients with HFpEF compared to patients diagnosed with HFrEF.

METHOD

Data was sourced from the Victorian Cardiac Outcomes Registry-Heart Failure (VCOR-HF) snapshot of patients admitted with acute heart failure to one of 16 Victorian health services between 2014-2017 over one consecutive month annually. Outcomes measured were in-hospital mortality, and 30-day readmission and mortality.

RESULTS

Of the 1,132 HF patients, 436 patients were diagnosed with HFpEF and were more likely to be female (59%) and older (81.5±9.8 vs 73.2±14.5 years). They were also more likely to have hypertension (80%), atrial fibrillation (59.9%), chronic obstructive airways disease (36.2%) and chronic kidney disease (68.8%). Patients with HFrEF were more likely to have ischaemic heart disease with a history of previous myocardial infarction (36.6%), percutaneous coronary intervention and cardiac bypass surgery (35.2%). There were no significant differences in 30-day mortality between HFpEF and HFrEF (10.2% vs 7.8%; p=0.19, respectively) and 30-day readmission rates (22.1% vs 25.9%; p=0.15, respectively).

CONCLUSION

VCOR-HF Snapshot data provides important insight into the burden of acute heart failure. Whilst patients with HFpEF and HFrEF have differing clinical profiles, morbidity, mortality and re-admission rates are similar.

Extracorporeal Shock Wave Enhanced Exogenous Mitochondria into Adipose-Derived Mesenchymal Stem Cells and Further Preserved Heart Function in Rat Dilated Cardiomyopathy

This study tested whether extracorporeal shock wave (ECSW) supported-exogenous mitochondria (Mito) into adipose-derived mesenchymal stem cells (ADMSCs) would preserve left-ventricular-ejection-fraction (LVEF) in doxorubicin/12 mg/kg-induced dilated cardiomyopathy (DCM) rat. Adult-male-SD rats were equally categorized into group 1 (sham-control), group 2 (DCM), group 3 (DCM + ECSW/1.5 mJ/mm² for 140 shots/week × 3 times/since day 14 after DCM induction), group 4 (DCM + ECSW/1.5 mJ/mm²/100 shots-assisted mito delivery (500 μg) into ADMSCs/1.2 × 10⁶ cells, then implanted into LV myocardium day 14 after DCM induction) and group 5 (DCM + ECSW-assisted mito delivery into ADMSCs/1.2 × 10⁶ cells, then implanted into LV, followed by ECSW/1.5 mJ/mm² for 140 shots/week × 3 times/since day 14 after DCM induction) and euthanized by day 49. Microscopic findings showed mitochondria were abundantly enhanced by ECSW into H9C2 cells. The q-PCR showed a significant increase in relative number of mitDNA in mitochondrial-transferred H9C2 cells than in control group (p < 0.01). The angiogenesis/angiogenesis factors (VEGF/SDF-1α/IG-F1) in HUVECs were significantly progressively increased by a stepwise-increased amount of ECSW energy (0.1/0.25/0.35 mJ/mm²) (all p < 0.001). The 49-day LVEF was highest in group 1 and significantly progressively increased from groups 2 to 5 (all p < 0.0001). Cardiomyocyte size/fibrosis exhibited an opposite pattern of LVEF, whereas cellular/protein levels of angiogenesis factors (VEGF/SDF-1α) in myocardium were significantly progressively increased from groups 1 to 5 (all p < 0.0001). The protein expressions of apoptotic/mitochondrial (cleaved-caspase-3/cleaved-PARP/mitochondrial-Bax/cytosolic-cytochrome-C), fibrotic (p-Smad3/TGF-ß), oxidative-stress (NOX-1/NOX-2) and pressure-overload/heart failure (BNP/ß-MHC) biomarkers exhibited an opposite pattern of LVEF among the five groups (all p < 0.0001). ECSW-assisted mitochondrial-delivery into ADMSCs plus ECSW offered an additional benefit for preserving LVEF in DCM rat.

Uncovering the treatable burden of severe aortic stenosis in Australia: current and future projections within an ageing population

BACKGROUND

We aimed to address the paucity of information describing the treatable burden of disease associated with severe aortic stenosis (AS) within Australia's ageing population.

METHODS

A contemporary model of the population prevalence of symptomatic, severe AS and treatment pathways in Europe and North America was applied to the 2019 Australian population aged ≥ 55 years (7 million people) on an age-specific basis. Applying Australian-specific data, these estimates were used to further calculate the total number of associated deaths and incident cases of severe AS per annum.

RESULTS

Based on an overall point prevalence of 1.48 % among those aged ≥ 55 years, we estimate that a minimum of 97,000 Australians are living with severe AS. With a 2-fold increased risk of mortality without undergoing aortic valve replacement (AVR), more than half of these individuals (∼56,000) will die within 5-years. From a clinical management perspective, among those with concurrent symptoms (68.3 %, 66,500 [95 % CI 59,000-74,000] cases) more than half (58.4 %, 38,800 [95 % CI 35,700 - 42,000] cases) would be potentially considered for surgical AVR (SAVR) - comprising 2,400, 5,400 and 31,000 cases assessed as high-, medium- or low peri-operative mortality risk, respectively. A further 17,000/27,700 (41.6 % [95 % CI 11,600 - 22,600]) of such individuals would be potentially considered to a transthoracic AVR (TAVR). During the subsequent 5-year period (2020-2024), each year, we estimate an additional 9,300 Australians aged ≥ 60 years will subsequently develop severe AS (6,300 of whom will experience concurrent symptoms). Of these symptomatic cases, an estimated 3,700 and 1,600 cases/annum, will be potentially suitable for SAVR and TAVR, respectively.

CONCLUSIONS

These data suggest there is likely to be a substantive burden of individuals living with severe AS in Australia. Many of these cases may not have been diagnosed and/or received appropriate treatment (based on the evidence-based application of SAVR and TAVR) to reduce their high-risk of subsequent mortality.

Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument

PURPOSE

The MacNew Heart Disease Health-Related Quality of Life Instrument (MacNew) is a validated, clinically sensitive, 27-item disease-specific questionnaire. This study aimed to develop a new heart disease-specific classification system for the MacNew amenable for use in health state valuation.

METHODS

Patients with heart disease attending outpatient clinics and inpatient wards in Brisbane, Australia, completed MacNew. The development of the new disease-specific classification system included three stages. First, a principal component analysis (PCA) established dimensionality. Second, Rasch analysis was used to select items for each dimension. Third, Rasch analysis was used to explore response-level reduction. In addition, clinician and patient judgement informed item selection.

RESULTS

Participants included 685 patients (acute coronary 6%, stable coronary 41%, chronic heart failure 20%). The PCA identified 4 dimensions (restriction, emotion, perception of others, and symptoms). The restriction dimension was divided into physical and social dimensions. One item was selected from each to be included in the classification system. Three items from the emotional dimension and two symptom items were also selected. The final classification system had seven dimensions with four severity levels in each: physical restriction; excluded from doing things with other people; worn out or low in energy; frustrated, impatient or angry; unsure and lacking in self-confidence; shortness of breath; and chest pain.

CONCLUSION

This study generated a brief heart disease-specific classification system, consisting of seven dimensions with four severity levels in each. The classification system is amenable to valuation to enable the generation of utility value sets to be developed for use in economic evaluation.

Mackay Heart Failure Study: Examining the Root Causes, Compliance With Guideline-Based Therapy and Prognosis

INTRODUCTION

Heart failure patients have poor outcomes comparable to some malignancies; however, the modern guideline directed medical therapy (GDMT) has improved its outcomes. The clinical characteristics and prescribers' compliance with GDMT for heart failure patients have not been studied in the Mackay region.

METHODS

A retrospective cohort study of 115 consecutive adult heart failure patients was conducted at our institution.

RESULTS

The study cohort consisted of 80% (n=92) males. Ischaemia was the leading cause accounting for 54% (n=62) of the cohort, followed by idiopathic cardiomyopathy at 32% (n=37). Drug-induced and Takotsubo cardiomyopathies were responsible for 11% and 1% respectively. Two (2) patients (2%) had valvular heart disease. Hypertension was present in 57% while diabetes and atrial fibrillation were present in 32% and 43% of patients. Fifty-nine per cent (59%) had a smoking history. All, except four patients, had reduced left ventricular ejection fraction (LVEF <50%) at diagnosis. Among patients with coronary ischaemia, 37% and 31% were revascularised with percutaneous coronary interventions and bypass graft surgeries, respectively. Renin-angiotensin-aldosterone system inhibitors and beta blockers were prescribed in 94% and 95% of the patients, respectively. Mineralocorticoid inhibitors were used in 25% while ivabradine was given to 8% of patients. Nine per cent (9%) of patients received cardiac resynchronisation therapy. Most patients had improvement in functional class and LVEF during follow-up. There were very few mortalities at 3% (n=3) at the median follow-up of 403 (IQR 239-896) days.

CONCLUSION

Our study has shed light on heart failure epidemiology in the Mackay region. We found excellent compliance with GDMT and good prognosis for most patients in terms of both symptom and survival.

Biomedical, Socioeconomic and Demographic Predictors of Heart Failure Readmissions: A Systematic Review

AIMS

To identify the biomedical, socioeconomic and demographic predictors of heart failure (HF) related readmissions in adult patients with HF.

METHODS

This systematic review was conducted in March 2020 using the databases EMBASE, CINAHL and Medline to identify publications between 2015-2020. The resulting articles were systematically reviewed according to the PRISMA guidelines.

RESULTS

Eighteen (18) studies were included in this review. Unemployment (HR=1.09; 95%CI=1.05-1.14; p=0.03) was the only socioeconomic factor predictive of HF-readmissions. Socio-Economic Indexes for Areas (SEIFA) scores did not predict HF readmissions in adults with HF (p>0.05). All patients included in the studies had pre-existing HF. Based on the included studies, Indigenous status was identified as a risk factor for HF readmissions in 1 study (p<0.05), and age or sex did not affect HF readmission patterns (p>0.05). New York Heart Association (NYHA) class, brain natriuretic peptide (BNP) levels, and heart rate were also predictive of HF readmission (p<0.05). Left ventricular ejection fraction and blood pressure, however, were non-significant risk factors of HF readmissions (p>0.05).

CONCLUSIONS

This review identified unemployment, Indigenous status, NYHA class, heart rate, and BNP levels to predict HF related readmissions in adult patients with HF. Adding demographic and socioeconomic variables to readmission risk models has the potential to more accurately target patients at risk of readmissions.

Meeting support needs for informal caregivers of people with heart failure: a rapid review

Aims 

To explore whether a support-based intervention for informal caregivers of people with heart failure changes their psychosocial and emotional wellbeing. Background Successful self-management of heart failure includes addressing the psychosocial and emotional wellbeing needs of informal caregivers. However, there is limited evidence of how caregivers are supported in this way.

Methods and results 

A rapid review was conducted searching four electronic databases with restrictions to dates January 1996 – September 2019. Specific inclusion and exclusion criteria were applied, and the first author reviewed articles based on title, abstract and then full text, before articles were assessed for conclusions and outcomes. Six studies met the criteria for review. The key caregiver outcomes were burden, depression/anxiety, and quality of life. Significant reductions in caregiver burden were demonstrated in the three studies that measured this outcome. There were mixed results for the outcome measures of depression/anxiety, as well as quality of life, with some interventions demonstrating either significant reductions in depression or anxiety scores, or increases in quality of life scores.

Conclusion 

With only six studies included in this rapid review, it is not possible to make any definitive conclusions regarding the success, or otherwise, of interventions for caregivers of people with heart failure to improve their psychosocial and emotional wellbeing. Whilst some papers would tend to suggest that such interventions can reduce caregiver burden, there is a need to interrogate further interventions in this area to fill the current gap in the literature.

The Utility of Predicting Hospitalizations Among Patients With Heart Failure Using mHealth: Observational Study

Background

Heart failure decompensation is a major driver of hospitalizations and represents a significant burden to the health care system. Identifying those at greatest risk of admission can allow for targeted interventions to reduce this risk.

Objective

This paper aims to compare the predictive value of objective and subjective heart failure respiratory symptoms on imminent heart failure decompensation and subsequent hospitalization within a 30-day period.

Methods

A prospective observational pilot study was conducted. People living at home with heart failure were recruited from a single-center heart failure outpatient clinic. Objective (blood pressure, heart rate, weight, B-type natriuretic peptide) and subjective (4 heart failure respiratory symptoms scored for severity on a 5-point Likert scale) data were collected twice weekly for a 30-day period.

Results

A total of 29 participants (median age 79 years; 18/29, 62% men) completed the study. During the study period, 10 of the 29 participants (34%) were hospitalized as a result of heart failure. For objective data, only heart rate exhibited a between-group difference. However, it was nonsignificant for variability (P=.71). Subjective symptom scores provided better prediction. Specifically, the highest precision of heart failure hospitalization was observed when patients with heart failure experienced severe dyspnea, orthopnea, and bendopnea on any given day (area under the curve of 0.77; sensitivity of 83%; specificity of 73%).

Conclusions

The use of subjective respiratory symptom reporting on a 5-point Likert scale may facilitate a simple and low-cost method of predicting heart failure decompensation and imminent hospitalization. Serial collection of symptom data could be augmented using ecological momentary assessment of self-reported symptoms within a mobile health monitoring strategy for patients at high risk for heart failure decompensation.

Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach

Predicting Cardiovascular Length of stay based hospitalization at the time of patients' admitting to the coronary care unit (CCU) or (cardiac intensive care units CICU) is deemed as a challenging task to hospital management systems globally. Recently, few studies examined the length of stay (LOS) predictive analytics for cardiovascular inpatients in ICU. However, there are almost scarcely real attempts utilized machine learning models to predict the likelihood of heart failure patients length of stay in ICU hospitalization. This paper introduces a predictive research architecture to predict Length of Stay (LOS) for heart failure diagnoses from electronic medical records using the state-of-art- machine learning models, in particular, the ensembles regressors and deep learning regression models. Our results showed that the gradient boosting regressor (GBR) outweighed the other proposed models in this study. The GBR reported higher R-squared value followed by the proposed method in this study called Staking Regressor. Additionally, The Random forest Regressor (RFR) was the fastest model to train. Our outcomes suggested that deep learning-based regressor did not achieve better results than the traditional regression model in this study. This work contributes to the field of predictive modelling for electronic medical records for hospital management systems.

Epidemiology of heart failure: Study of Heart failure in the Australian Primary carE setting (SHAPE)

Aims

At present, there is no robust information on the prevalence and incidence of heart failure (HF) in the general Australian community. The present study of primary care data sought to estimate the prevalence and incidence of HF in the community and to describe the demographic and clinical profile of Australians with HF.

Methods and results

We undertook a retrospective cohort study based on analysis of anonymized medical records of adult patients cared for at 43 Australian general practices between 1 July 2013 and 30 June 2018. Data were extracted from coded and uncoded fields in electronic medical records. The prevalence and annual incidence of HF were calculated, along with 95% confidence intervals, using the ‘active’ population of people who were regular attenders at the practices. Age‐standardized estimates were also derived using the 2017 Australian population as reference. The mean age of the population with HF was 69.8 years, 50.6% were female, and mean body mass index was 31.2 kg/m². The age‐standardized prevalence was 2.199% [95% confidence interval (CI): 2.168–2.23%], and the age‐standardized annual incidence was 0.348% (95% CI: 0.342–0.354%). These estimates accord with almost 420 000 people living with HF in Australia in 2017, and >66 000 new cases of HF occurring that year. Only 18.9% of patients with definite HF had this formally captured as a ‘diagnosis’ in their medical record. HF was more frequent among those of lower socio‐economic status.

Conclusions

HF is common in Australia. The majority of HF patients do not have this diagnosis optimally noted in their primary care medical records.

Early intramyocardial implantation of exogenous mitochondria effectively preserved left ventricular function in doxorubicin-induced dilated cardiomyopathy rat

This study tested the hypothesis that early implantation of mitochondria (Mito) into left myocardium could effectively protect heart against doxorubicin/12 mg/kg-induced dilated cardiomyopathy (DCM) in rat. Adult-male SD rats (n = 18) were equally categorized into group 1 (sham control), group 2 (DCM) and group 3 [DCM + Mito (500 μg/rat intramyocardial injection by day-21 after DCM induction)] and euthanized by day 60. In vitro studies showed that exogenously-transferred Mito was abundantly identified in H9C2 cells. The q-PCR showed significant increase in relative number of mitDNA in Mito-transferred H9C2 cells than in control group (P<0.001). The mRNA-gene and protein expressions of NRF1/NRF2/Tfam/PGC-1α/ERRα/Mfn2 were significantly increased in low-dose Mito-transferred and more significantly increased in high-dose Mito-transferred H29C2 cells than in control group (all P<0.01). Day-60 left-ventricular-ejection-fraction (LVEF) was significantly lower in group 2 than in groups 1 and 3, and significantly lower in group 3 than in group 1 (P<0.0001). The ratios of lung and heart weights to tibial length and myocardial histopathological findings of fibrotic area/myocardial injured score/γ-H2AX+ cells exhibited an opposite pattern to LVEF among the three groups (all P<0.0001). The myocardial protein expressions of oxidative-stress (NOX-1/NOX-2/oxidized protein/p22phox), autophagic (beclin-1/Atg-5/ratio of CL3B-II/CL3B-I), and apoptotic/mitochondrial-damaged (cleaved-caspase-3/mitochondrial Bax/cleaved-PARP/cytosolic-cytochrome-C/DRP1/cyclophilin D1) biomarkers exhibited an opposite pattern, whereas the protein expressions of mitochondrial integrity (mitochondrial-cytochrome-C/mitochondrial-complex I/II/III/IV and Mfn2/PGC-1) exhibited an identical pattern to LVEF among the groups (all P<0.001). In conclusion, early Mito therapy effectively preserved LVEF and myocardial integrity in DCM rat.

The epidemiology of heart failure in the general Australian community - study of heart failure in the Australian primary carE setting (SHAPE): methods

BACKGROUND

There is a paucity of information on the epidemiology of heart failure (HF) in Australia. The Study of Heart failure in the Australian Primary carE setting (SHAPE) study aims to estimate the prevalence and annual incidence of HF in the general Australian community and to describe the demographic and key clinical profile of Australians with HF.

METHODS

We undertook a retrospective cohort study based on analysis of non-identifiable medical records of adult patients cared for at 43 general practices between 1 July 2013 and 30 June 2018. Data were extracted from coded (diagnosis, pathology and prescription fields) and uncoded fields (clinical notes) in the medical records. The latter searches of free text looked for common synonyms relevant to HF. The population was stratified into three groups based on a hierarchy of selection criteria: (1) definite HF, (2) probable HF and (3) possible HF. The prevalence and annual incidence of HF were calculated, along with 95% confidence intervals.

RESULTS

The practices provided care to 2.3 million individual patients over the five-year study period, of whom 1.93 million were adults and 1.12 million were regular patients. Of these patients 15,468 were classified as having 'definite HF', 4751 as having 'probable HF' and 33,556 as having 'possible HF'. A further 39,247 were identified as having an aetiological condition associated with HF. A formal HF diagnosis, HF terms recorded as text in the notes and HF-specific medication were the most common methods to identify 'definite' HF patients. Typical signs and symptoms in combination with a diuretic prescription was the most common method to identify 'probable HF' patients. The majority of 'possible' HF patients were identified by the presence of 2 or more of the typical signs or symptoms. Dyspnoea was the commonest recorded symptom and an elevated jugular venous pressure the commonest recorded sign.

CONCLUSIONS

This novel approach to undertaking retrospective research of primary care data successfully analysed a combination of coded and uncoded data from the electronic medical records of patients routinely managed in the GP setting. SHAPE is the first real-world study of the epidemiology of HF in the general Australian community setting.

Cost-Effectiveness of Switching Patients With Heart Failure and Reduced Ejection Fraction to Sacubitril/Valsartan: The Australian Perspective

BACKGROUND

The cost-effectiveness, from the Australian health care perspective, of switching patients with heart failure and reduced ejection fraction (HFREF) stable on angiotensin converting enzyme (ACE) inhibitors/angiotensin II receptor blockers (ARBs) to the angiotensin receptor neprilysin inhibitor (ARNi) sacubitril/valsartan is unclear. We sought to assess the cost-effectiveness of sacubitril/valsartan versus enalapril in patients with HFREF in the contemporary Australian setting.

METHODS

We developed a Markov model with two health states ('Alive' and 'Dead') to assess the cost-effectiveness of sacubitril/valsartan versus enalapril in patients with HFREF. Model subjects were 63 years of age at entry and had simulated follow-up over 20 years. Transition probabilities were derived from the Prospective comparison of ARNI with ACEI to Determine Impact on Global Mortality and morbidity in Heart Failure (PARADIGM-HF) study. Costs and utility data were derived from published sources. All costs and effects were discounted at an annual rate of 5% and are presented in Australian dollars. Sensitivity analyses were undertaken to test variability in key data inputs.

RESULTS

In the base-case analysis, sacubitril/valsartan was found to reduce non-fatal heart failure hospitalisations and cardiovascular deaths, with numbers-needed-to-treat over a 20-year period of 40 and 27, respectively. The use of sacubitril/valsartan led to an additional 6 months of life gained per patient, translating to A$27,954 per years of life saved (YoLS) and A$40,513 per quality-adjusted-life-years (QALY) gained. The results of the sensitivity analyses indicated that the results were robust.

CONCLUSIONS

Our analysis supports switching HFREF patients on ACE inhibitor or ARB to sacubitril/valsartan.

How Does Preterm Delivery Contribute to the Increased Burden of Cardiovascular Disease? Quantifying the Economic Impact of Cardiovascular Disease in Women with a History of Preterm Delivery

Background: The association between preterm delivery (PTD) and maternal risk of cardiovascular disease (CVD) was demonstrated, but the economic burden of CVD in these women was unknown. Methods: A Markov microsimulation model, comprising no event, postacute coronary event (ACE, including acute myocardial infarction and unstable angina), poststroke, post-ACE and stroke, postheart failure, and death, was constructed to quantify the CVD burden in women with PTD from 2017 to 2066 using the Australian health care system perspective. Both first-ever and recurrent CVD events were accounted for in the model. Population with PTD histories was sourced from Australian Bureau of Statistics and costs of acute hospitalization and long-term management from government websites. Nonmonetary burden as years of life lost (YLL) was compared between women with and without PTD histories. Both dynamic (i.e., new cohort added every cycle) and static (i.e., population was stabilized) approaches were used to measure the CVD burden, with sensitivity analyses examining the robustness of results. Results: The dynamic model showed the total CVD burden caused by PTD as AUD11.4 billion for the next 50 years and the YLL as 0.34/capita, while the static model generated a cost of AUD4.5 billion and the YLL as 0.52/capita. Long-term management cost was the primary cost determinant (AUD9.4 billion and AUD3.7 billion, respectively) in the two models, with the results most sensitive to the discount rate and time horizon. Conclusions: Considering the substantial economic burden, recognizing PTD as a potential risk factor and encouraging women with PTD histories to participate in primary prevention programs would potentially curb the ever-increasing CVD burden.

A Systematic Review of Direct Cardiovascular Event Costs: An International Perspective

INTRODUCTION

There is a lack of comprehensive cost information for cardiovascular events since 2013.

OBJECTIVE

A systematic review on the contemporary cost of cardiovascular events was therefore undertaken.

METHODS

Methods complied with those recommended by the Cochrane Collaboration and the Centre for Reviews and Dissemination. Studies were unrestricted by language, were from 2013 to 23 December 2017, and included cost-of-illness data in adults with the following cardiovascular conditions: myocardial infarction (MI), stroke, transient ischaemic attack (TIA), heart failure (HF), unstable angina (UA), coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), or peripheral artery disease (PAD). Seven electronic databases were searched, namely Embase (Ovid), MEDLINE (Ovid), MEDLINE In-Process Citations and Daily Update (Ovid), NHS Economic Evaluation Database (NHS EED), Health Technology Assessment (HTA) database, Cochrane Central Register of Controlled Trials (CENTRAL), and PubMed. The included studies reported data from a variety of years (sometimes prior to 2013), so costs were inflated and converted to $US, year 2018 values, for standardization.

RESULTS

After de-duplication, 29,945 titles and abstracts and then 403 full papers were screened; 82 studies (88 papers) were extracted. Year 1 average cost ranges were as follows: MI ($11,970 in Sweden to $61,864 in the USA), stroke ($10,162 in Spain to $46,162 in the USA), TIA ($6049 in Sweden to $25,306 in the USA), HF ($4456 in China to $49,427 in the USA), UA ($11,237 in Sweden to $31,860 in the USA), PCI ($17,923 in Italy to $45,533 in the USA), CABG ($17,972 in the UK to $76,279 in the USA). One Swedish study reported PAD costs in a format convertible to $US, 2018 values, with a mean annual cost of $15,565.

CONCLUSIONS

There was considerable unexplained variation in contemporary costs for all major cardiovascular events. One emerging theme was that average costs in the USA were considerably higher than anywhere else.

Mind the Gap: Mismatches Between Clinicians and Patients in Heart Failure Medication Management

PURPOSE

Previous studies on the 'treatment gap' in patients with heart failure (HF) have focused either on prescribing or patients' adherence to prescribed treatment. This study sought to determine whether or not recent initiatives to close the gap have also minimised any mismatches between physicians' expectation of their patients' medications, medications in the patients' possession and their actual medication use.

METHODS

A cross-sectional observational survey was conducted from December 2015 to June 2016 in The Alfred Hospital HF clinic in Melbourne, Australia. Patients were invited to participate if they had chronic HF (NYHA class II to IV), were aged ≥ 60 years, had no history of HF related hospitalisation within the past 6 months and were prescribed at least two HF medications.

RESULTS

Of 123 eligible patients, 102 were recruited into the study. Beta-blockers, mineralocorticoid receptor antagonists, loop diuretics and statins were associated with the highest rates of mismatches of drugs and doses, ranging from 10 to 17%. Discrepancy of total daily doses was the most common type of mismatch. Overall, only 23.5% of the patients were taking the right drugs at the right doses as expected by their cardiologists/HF specialists.

CONCLUSIONS

Despite improved prescribers' adherence to guideline-directed medical therapy, there remain considerable mismatches between prescribers' expectation of patients' HF medications, medications in patients' possession and their actual medication use. Initiatives to improve this situation are urgently needed.

Long-term survival following the development of heart failure in an elderly hypertensive population

BACKGROUND

Available data on the prognosis of heart failure (HF) patients are predominantly limited to patients diagnosed at time of hospitalization.

AIMS

To describe the long-term survival of incident HF patients and identify clinical characteristics associated with mortality.

METHODS

The Second Australian National Blood Pressure Study (ANBP2) randomized 6083 hypertensive subjects aged 65-84 years to angiotensin-converting enzyme (ACE) inhibitor or thiazide diuretic-based therapy and followed them for a median of 4.1 years. One hundred forty-five participants who developed HF and 5938 who remained free from HF during the trial period were followed for a median of 6.7 years during a posttrial follow-up.

RESULTS

Three quarters, 110 (76%) of HF patients had died at the end of the follow-up. The five- and ten-year survival rates following HF diagnosis during the trial period were 37% and 15%, respectively, in men, compared with 60% and 33%, respectively, in women. In non-heart failure participants, the five- and ten-year survival rates, following enrollment into the study, were 92% and 76%, respectively. Mortality following HF diagnosis increased with advancing age (HR = 1.09, 95% CI: 1.04-1.33). In addition, male gender and preexisting diabetes were predictive of mortality, while ACE inhibitor-based therapy for the initial trial was associated with 39% decrease (HR = 0.61, 95% CI: 0.41-0.91) in mortality compared with a thiazide diuretic-based regimen.

CONCLUSIONS

Long-term survival in elderly HF patients is poor, especially in men. Mortality in HF patients increased progressively with advancing age, while allocation to the ACE inhibitor-based regimen for the initial trial significantly improved HF outcome.

Heart failure and multimorbidity in Australian general practice

Background

Heart failure (HF) is a serious condition that mostly affects older people. Despite the ageing population experiencing an increased prevalence of many chronic conditions, current guidelines focus on isolated management of HF.

Objective

To describe the burden of multimorbidity in patients with HF being managed in general practice in Australia.

Design

Data from the Bettering the Evaluation And Care of Health (BEACH) programme were used to determine (i) the prevalence of HF, (ii) the number of co-existing long-term conditions, and (iii) the most common disease combinations in patients with HF. The study was undertaken over fifteen, 5-week recording periods between November 2012 and March 2016.

Results

The dataset included a total of 25,790 general practitioner (GP) encounters with patients aged ≥45 years, collected by 1,445 GPs. HF had been diagnosed in 1,119 of these patients, a prevalence of 4.34% (95% confidence interval [CI] 3.99–4.68) among patients at GP encounters, and 2.08% (95% CI 1.87–2.29) when applied to the general Australian population overall. HF rarely occurred in isolation, with 99.1% of patients having at least one and 53.4% having six or more other chronic illnesses. The most common pair of comorbidities among active patients with HF was hypertension and osteoarthritis (43.4%).

Conclusion

Overall, one in every 20–25 GP encounters with patients aged ≥45 years in Australia is with a patient with HF. Multimorbidity is a typical presentation among this patient group and guidelines for general practice must take this into account.