The Alberta Heart Failure Etiology and Analysis Research Team (HEART) study
- Justin A Ezekowitz1, 4Email author,
- Harald Becher1, 4,
- Israel Belenkie2, 3,
- Alexander M Clark1, 6,
- Henry J Duff2, 3,
- Matthias G Friedrich3, 7, 8,
- Mark J Haykowsky1, 9,
- Jonathan G Howlett2, 3,
- Zamaneh Kassiri1, 10,
- Padma Kaul4,
- Daniel H Kim1, 4,
- Merril L Knudtson2, 3,
- Peter E Light1, 11, 12,
- Gary D Lopaschuk1, 5,
- Finlay A McAlister1, 4,
- Michelle L Noga1, 13,
- Gavin Y Oudit1, 4,
- D Ian Paterson1, 4,
- Hude Quan2, 3,
- Richard Schulz1, 5, 12,
- Richard B Thompson1, 14,
- Sarah G Weeks2, 3,
- Todd J Anderson2, 3 and
- Jason RB Dyck1, 5
© Ezekowitz et al.; licensee BioMed Central Ltd. 2014
Received: 1 May 2014
Accepted: 16 July 2014
Published: 25 July 2014
Nationally, symptomatic heart failure affects 1.5-2% of Canadians, incurs $3 billion in hospital costs annually and the global burden is expected to double in the next 1–2 decades. The current one-year mortality rate after diagnosis of heart failure remains high at >25%. Consequently, new therapeutic strategies need to be developed for this debilitating condition.
The objective of the Alberta HEART program (http://albertaheartresearch.ca) is to develop novel diagnostic, therapeutic and prognostic approaches to patients with heart failure with preserved ejection fraction. We hypothesize that novel imaging techniques and biomarkers will aid in describing heart failure with preserved ejection fraction. Furthermore, the development of new diagnostic criteria will allow us to: 1) better define risk factors associated with heart failure with preserved ejection fraction; 2) elucidate clinical, cellular and molecular mechanisms involved with the development and progression of heart failure with preserved ejection fraction; 3) design and test new therapeutic strategies for patients with heart failure with preserved ejection fraction. Additionally, Alberta HEART provides training and education for enhancing translational medicine, knowledge translation and clinical practice in heart failure. This is a prospective observational cohort study of patients with, or at risk for, heart failure. Patients will have sequential testing including quality of life and clinical outcomes over 12 months. After that time, study participants will be passively followed via linkage to external administrative databases. Clinical outcomes of interest include death, hospitalization, emergency department visits, physician resource use and/or heart transplant. Patients will be followed for a total of 5 years.
Alberta HEART has the primary objective to define new diagnostic criteria for patients with heart failure with preserved ejection fraction. New criteria will allow for targeted therapies, diagnostic tests and further understanding of the patients, both at-risk for and with heart failure.
KeywordsHeart failure Preserved ejection fraction Heart failure risk factors Heart failure diagnosis
Cardiovascular disease is one of the primary causes of death and disability in Canada and is a leading cause of death worldwide (http://www.who.int/chp/chronic_disease_report/en/). While advancements in medical and surgical therapies have improved cardiac mortality, these advances have led to an increase in the incidence and prevalence of heart failure (HF) . At the national level, symptomatic HF affects 1.5-2% of Canadians, incurs $3 billion in hospital costs annually, and the global burden is expected to double in the next 1–2 decades [2, 3]. In addition, the current one-year mortality rate after diagnosis of HF remains disturbingly high at >25% [4, 5], and the condition has the worst effect on quality of life of any chronic medical condition . Consequently, new therapeutic strategies need to be developed for this debilitating condition.
HF is a clinical syndrome characterized by specific symptoms (e.g. shortness of breath and reduced exercise capacity) as well as physical examination findings. HF has traditionally been described by a depressed ejection fractions ranging from <30-45% with <40% used as a criteria that is generally used in clinical trials and guidelines [7–9]. However, up to 50% of patients presenting with HF have preserved systolic function and are thus diagnosed with “diastolic HF” [3, 10, 11]. It is now recognized that a diverse group of cardiac diseases give rise to this condition and thus the clinical and research community has more appropriately renamed “diastolic HF” as HF with a preserved ejection fraction (HF-PEF) or HF-preserved systolic function (HF-PSF). Regardless of the nomenclature, no therapy has been proven in randomized clinical trials to reduce the morbidity or mortality of HF-PEF and, as such, no guideline endorses a specific therapy targeted at HF-PEF [8, 9, 12, 13]. While the lack of an available agent is multi-factorial, we believe that the current criteria used for defining HF-PEF are inadequate. This may skew patient stratification in HF trials and prevent the identification of therapies that may actually have benefit in HF-PEF.
The objective of the Alberta HEART program (http://albertaheartresearch.ca) is to develop novel diagnostic, therapeutic and prognostic approaches to patients with HF-PEF. We hypothesize that novel imaging techniques and biomarkers will aid in describing HF-PEF. Furthermore, the development of new diagnostic criteria will allow us to: 1) better define the risk factors associated with the HF-PEF; 2) elucidate the clinical, cellular and molecular mechanisms involved with the development and progression of HF-PEF; 3) design and test new therapeutic strategies for patients with HF-PEF. Alberta HEART additionally provides training and education program for enhancing translational medicine, knowledge translation and clinical practice in heart failure.
The study is approved by the Health Research Ethics Boards at the University of Alberta, Covenant Health and the University of Calgary. Recruitment began in January 2010 and as of March 31, 2014, 649 patients have been enrolled. ClinicalTrials.gov NCT02052804.
This is a prospective observational cohort study of patients with, or at risk for, HF.
High-risk of developing HF-PEF but no clinically overt HF: Patients will have one or more of the following: hypertension (≥3 medications or LVH on ECG or left ventricular mass index > gender-matched upper limit normal on an imaging test); diabetes (>45 years of age); atrial fibrillation; or obesity (body mass index >30). Patients will be generally asymptomatic (no dyspnea or fatigue) and have no known prior HF or other cardiovascular disease.
High-risk of developing HF-PEF with other clinically overt disease: Patients with other cardiovascular diseases will be recruited including atrial fibrillation, chronic coronary artery disease (including those with a recent acute coronary syndrome > 2 weeks prior), and COPD.
Patients with known HF-PEF: These are patients who have been diagnosed with HF-PEF based on the clinical phenotype of symptoms consistent with HF, and a preserved ejection fraction. Patients with the clinical diagnosis of HF-PEF and an ejection fraction >45% will be enrolled in this study from the heart failure clinics in Alberta. For further definition, the group will be divided into 3a (LVEF always ≥ 45%; no right ventricle involvement), 3b (LVEF previously <45%, now ≥ 45%; with or without right ventricle involvement), and 3c (LVEF always ≥ 45%; right ventricle involvement or pulmonary hypertension (TAPSE <16 mm, PASP > 35 mmHg, or clinical judgment)).
Patients with known systolic HF: Patients with systolic HF often have abnormalities in the mechanical diastolic function and are necessary to complete the spectrum to act as a comparator for group 3. An ejection fraction <45% and a diagnosis of HF will be included.
Healthy age- and gender-matched controls: Patients with no evidence of coronary artery disease, hypertension, diabetes mellitus, organ disease or replacement therapies; no evidence of inflammatory or autoimmune conditions and not on cardiac medications.
Current diagnostic criteria for HF-PEF
Vasan et al. 
Signs or symptoms?
Symptoms and signs of HF
Symptoms and signs, supporting laboratory tests and a typical clinical response to treatment#
Symptoms and signs of HF (by Framingham criteria)
LVEF > 50% and LVEDVI < 97 mls/m2
LVEF ≥ 50% within 72 hours of HF event**
LVEF > 50%
Echo/Cath/Biomarker evidence of diastolic dysfunction?
Abnormal LV relaxation, filling, distensibility indices on cardiac catheterization
In the first phase, the adjudicators will be asked to group the participants into one of the 5 groups above, using pre-enrollment (i.e. no study related variables) clinical criteria. We will then test the current definitions as to their validity.
In the second phase, information from the study echocardiogram and cardiac MRI will be used to re-adjudicate participants and explore if the clinical phenotype can be better enhanced using standardized imaging biomarker information.
In the third phase, data from the clinical phenotype, novel imaging markers, and biomarker testing to see if it can identify distinct patient cohorts. This will also incorporate novel imaging or biomarkers that are emerging or have not been previously validated.
In the final phase, all of the above will be integrated to develop a de novo diagnostic system via a panel-based method. Potential criteria will be viewed singly and together in order to develop a novel diagnostic scoring system with the following principles: (1) clinical symptoms and signs must be included as a basis for the diagnosis of HF-PEF; (2) diagnostic certainty should be categorized into definite, probable, possible, and not present; (3) time of evaluation must be included with respect to acute events; (4) no binary LVEF cutoff exists therefore a spectrum of LVEF will be used; (5) areas to be considered as candidate variables for evaluation should include mechanical, electrical, biomarker, and imaging modalities and should be done at rest and with provocation of exercise; (6) subtypes of HF-PEF likely exist based on etiology or mechanism of dysfunction and these subtypes likely include, but are not limited to, ventricular-vascular decoupling, myocyte dysfunction, infiltration, valve-related, extracellular matrix hypertrophy, post-operative and arrhythmia-related, especially atrial fibrillation; and (7) a simple clinical tool will be adopted if valid and clinically relevant, so attention to the end-user will be incorporated at an early stage through interaction with end-users (see http://www.albertaheartresearch.ca). External validation will be sought in existing datasets including MAGGIC, CHARM and the Olmsted County database.
Imaging– MRI and echocardiography
Most diagnostic constructs for the identification of HF-PEF, such as those from the European Society of Cardiology (Table 1) , employ imaging-measures of diastolic function in a diagnostic algorithm. However, these are used as binary variables and cut-points considered important for the diagnosis of HF-PEF. Several new quantitative imaging tests are available that more directly measure the physical mechanisms during ventricular relaxation that are associated with diastolic function, such as ventricular untwisting and global tissue strain rates, or that reflect tissue characteristics including diffuse and focal fibrosis and edema.
Thus, our goal is to evaluate a wider array of imaging tests for the purpose of defining a new set of practical criteria for the characterization of diastolic dysfunction that would be widely available. In addition to standard measures, main features will be evaluated using one or both of echocardiographic and CMR imaging: (1) ventricular stiffness [24, 25]; (2) ventricular relaxation [24, 26]; and (3) ventricular-vascular coupling [27, 28]. This new approach will address the significant variability (often due to load dependence) and low specificity of the conventional imaging parameters of diastolic function and develop load-independent measures.
In brief, the CMR scans will be performed on a 1.5 T magnet (Sonata, Siemens and Avanto, Siemens) and will include an assessment of: (1) atrial and ventricular volumes and function using steady state free precession (SSFP), (2) myocardial tissue characterization using late gadolinium enhancement (LGE) as well as quantitative T1 and T2 imaging, (3) estimation of ventricular and vascular stiffness using SSFP, phase contrast and tagging techniques and (4) pulmonary water content. For LGE and T1 imaging, 0.15 mmol/kg of gadolinium contrast (Gadovist, Bayer) will be given intravenously. Cardiac volumes and function and myocardial scar will be analyzed using commercially available software (Syngo, Siemens and CMR42, Circle) by experienced interpreters blinded to the study group assignment. Other measures of cardiac function and myocardial tissue characterization as well as vascular function and pulmonary water content will be performed using custom built software (MATLAB).
2D and 3D echocardiography will be performed on IE 33 (Philips) scanners with and without intravenous injection of the ultrasound contrast agent Definity. In addition, recordings using color, spectral, tissue Doppler and speckle tracking imaging will be obtained according to the American Society of Echocardiography (ASE). The following measurements will be performed by two experienced observers according ASE standards: LV volumes, ejection fraction, LA volumes, RV size and function, quantification of valvular lesions, systolic pulmonary artery pressure, mitral/tricuspid inflow velocities, mitral/tricuspid annular velocities, global longitudinal strain and strain rate. The recordings will also be processed using custom built software for fusion of 3D datasets and new tools to assess myocardial deformation which promise a more reliable assessment of volume changes as well as systolic and diastolic LV/RV function.
Exercise physiology substudy
A cardinal feature of HF, even when well compensated, is decreased exercise capacity (VO2peak) that is due, in part, to impaired cardiovascular and skeletal muscle that results in reduced convective or diffusive O2 transport or decreased O2 utilization by the active muscles [29, 30]. Currently, no study has prospectively examined the determinants of exercise intolerance across the HF continuum (i.e. healthy individuals and AHA/ACC stages A to C), therefore, uncertainty remains regarding the role that abnormal cardiac, vascular or skeletal muscle function play in limiting peak VO2 across the health, at risk and HF continuum.
The goal of the substudy is to compare peak VO2 (and its determinants) in healthy individuals, individuals at risk for HF and clinically stable individuals with HF-REF and HF-PEF. Subjects will be drawn from Groups 1 to 5 (above) and will undergo a cardiopulmonary exercise test on a Lode (Groningen, NL) cycle ergometer (resting, with 15 W increase in peak power output every two minutes until volitional exhaustion) with expired gas analysis and inert gas rebreathing (Innocor CPX, Odense, DK)  to measure peak VO2 and its Fick determinants (i.e. peak heart rate, stroke volume, cardiac output, systemic vascular resistance, arterial-venous oxygen difference). We will also use a non-invasive multisensory accelerometer (SenseWear Armband) to measure Daily Energy Expenditure (DEE), which will provide information on how physical activity measurements relate to established prognostic parameters. Assessing physical activity in patients doing their usual activities allows for day-to-day fluctuations to be taken into account. This will objectively assess daily physical activity, sedentary time and energy expenditure and compare these measures to established HF prognostic parameters.
In addition, the role that vascular function (MRI-derived aortic distensibility, brachial artery flow mediated dilation) and ventricular-arterial coupling abnormalities may play in limiting exercise performance will also be determined.
The endothelium plays a key role in vascular homeostasis through the release of a variety of autocrine and paracrine substances [32, 33]. Dysfunction of endothelial cells is a systemic process and the initiating event in atherosclerosis. This has adverse effects on afterload and ventricular-vascular mismatch may occur. Over the past two decades it has been clearly demonstrated that subjects with systolic dysfunction have impairment of endothelial function. It was recently demonstrated that subjects with HF-PEF did not have attenuated conduit vessel endothelial dysfunction compared with age-matched controls . Exercise training in this group improved VO2max but not large vessel endothelial function . However, another group demonstrated attenuation of microvascular function in a cohort with HF-PEF and was able to demonstrate an association of microvascular function with outcomes . We will recruit: (a) control subjects with no signs or symptoms of HF; (b) subjects with HF and systolic dysfunction due to dilated cardiomyopathy (EF <35% and no coronary artery disease) and no active vascular risk factors; and (c) subjects with HF-PEF in Group 3 (above) and no active vascular risk factors. Subjects will undergo the following non-invasive assessments of vascular health: a) brachial flow-mediated dilation, b) hyperaemic velocity, and c) finger-tip pulse arterial tonometry (PAT). These measure conduit vessel endothelial function (FMD), microvascular function (hyperaemic velocity), fingertip small vessel endothelial function and capacitance (PAT). Details of the methodology are well published and utilized by our group [37, 38].
Blood pressure wave substudy
Cardiac catheterization is indicated for clinical reasons in a subset of patients enrolled into Alberta HEART. These patients will undergo an additional set of high fidelity simultaneous pressure and flow measurements using a combined Doppler/Millar pressure wire (Combiwire®- Seimens) at 5 pre-specified locations in the aorta (vena contracta, mid-aortic arch, distal to left subclavian, at the diaphragm and infrarenal). Using this data, we will validate the Reservoir-Pressure theory of pressure/flow propagation in humans (already validated in large animal models). The successful validation of this approach will enable us to predict, using a derived mathematical formula, the effects of antihypertensive agents (both existing and new) as well as future device interventions upon individual pressure dynamics. We also hope to determine characteristics of the pressure/volume wave to potentially predict the development of future vascular de-coupling and/or ventricular remodeling.
The use of biomarkers will allow us to screen high-risk populations, to create a risk-prediction model in patients with HF-PEF and to provide new insights into the pathophysiology of HF-PEF. We hope to distinguish between HF-PEF and HF-REF and to provide prognostic insight into those with overt disease with the ultimate aim of providing tailored therapy to these different patient populations [39, 40]. Importantly, we will be able to link these data to important clinical outcomes such as mortality, survival free of heart transplantation, and hospitalizations. These biomarkers will also be linked with our findings from vascular physiology and imaging assessment. Serum, plasma samples and whole blood will be collected and stored for analysis in our core biomarker facilities. Biomarker testing will encompass both hypothesis-generating and hypothesis-testing approaches. An “omics” platform will be used, including microarray (mRNA and microRNA), proteomics and metabolomics with a systems-based analysis. A more tailored biomarker analysis of the extracellular matrix, natriuretic peptides, inflammatory biomarkers and other novel biomarkers will also be undertaken. We will collaborate with the Prevention of Organ Failure Centre of Excellence (PROOF; http://www.proofcentre.ca) at the University of British Columbia, which is cross-disciplinary team that unites scientific, technical, and commercialization expertise in order to implement biomarkers to improve management of heart, lung and kidney disease.
Patients will undergo non-invasive risk evaluation using locally developed technology . The technology is the antithesis of a Holter monitor, as instead of randomly acquiring data, signals are obtained during scripted interventions designed to elicit physiologic transients, which unmask physiologic defects in auto-regulation. Using this data acquisition system, 2 metrics of risk of death were discovered and partially validated. In contrast to the current study, the original pilot study only recorded a single bipolar ECG whereas we now record 6 standard ECG leads. This will provide a better opportunity to examine spatial heterogeneity of T wave alternans.
Patients will have sequential testing including quality of life and clinical outcomes over the first 12 months of study entry. After that time, we will passively follow study participants via linkage to external administrative databases held by Alberta Health. Clinical outcomes of interest include death, hospitalization, emergency department visits, physician resource use, and/or heart transplant. Patients will be followed for a total of 5 years of follow-up.
Patients who have provided consent in the prospectively collected cohort will be tracked longitudinally to capture all of their interactions with the healthcare system.
Anonymized data obtained from Alberta Health will be used to explore the in-patient, out-patient, emergency department, medications and outcomes of all patients with HF using techniques previously validated by our group [1, 5, 42, 43].
These complementary approaches will allow for appropriate comparisons of patient-, provider- and system-level variables that may vary across the spectrum of HF or those patients at risk for HF.
Alberta HEART plans to recruit 700 patients with up to 100 patients in each of Groups 1, 2 and 5 and 200 patients in each of Groups 3 (HF-PEF) and 4 (known systolic HF). Given the lack of validated data from which to calculate a sample size, a convenience sampling technique has been used, recognizing that for some markers (e.g. imaging, exercise, biomarkers) the HEART study will be significantly powered, but for other outcomes (e.g. clinical outcomes) HEART will be underpowered. Nevertheless, the sample size will be increased as appropriate to meet the primary objectives of the study. An additional 100 age- and gender-matched controls (matched to group 3) will be been recruited and tested. Recruitment began in January 2010 and as of March 31st, 2014, 649 participants have been enrolled.
Alberta HEART has a training program (Supporting Training Encompassing All in Diastolic Heart Failure [STEADi HF]) to train researchers of all backgrounds and across all 4 pillars of research as described by the Canadian Institutes of Health Research (http://www.cihr.ca). These competitive training grants are awarded to trainees who are researching an area of heart failure and are collaborating with/mentored by another team member. This will assist in the building of interdisciplinary partnerships along with providing the trainee with a clearer understanding of the research skills in another discipline.
Of a total of 24 investigators, Alberta HEART includes 8 scientists who have a primary focus on traditional fundamental discovery science. The project also incorporates aspects important for translational science: development of an appropriate animal model from which to test novel therapeutics before first-in-man studies; studying the tissue, cellular and sub-cellular interactions that may be related to a clinical phenotype; and exploring proteomic, metabolomic and genomic pathways to understand overall cardiac function.
Alberta HEART has the primary objective to define new diagnostic criteria for patients with HF-PEF. New criteria will allow for targeted therapies, diagnostic tests and further understanding of the patients, both at-risk for and with heart failure. Interaction across pillars of research and with clinicians, patients, the public and policy makers is embedded within this project to ensure accurate and timely translation of new and existing knowledge for the prevention, diagnosis and treatment of patients with cardiovascular disease.
American College of Cardiology
American Heart Association
American Society of Echocardiography
Cardiac magnetic resonance
Chronic obstructive pulmonary disease
Daily energy expenditure
Heart Failure Etiology and Analysis Research Team
Heart failure with preserved ejection fraction
Heart failure with preserved systolic function
Late gadolinium enhancement
Left ventricular ejection fraction
Magnetic resonance imaging
Pulmonary artery systolic pressure
Pulse arterial tonometry
Quality assessment of diagnostic accuracy studies 2
Steady state free precession
STAndards for the reporting of diagnostic accuracy studies
- STEADi HF:
Supporting training encompassing all in diastolic heart failure
Tricuspid annular plane systolic excursion.
We gratefully acknowledge the patients who have volunteered their time for this study. We also acknowledge the Program Managers (Kelly Narine, PhD, Jennifer Beck, BsAg, MBA, Lisa Tanguay, PhD, Beverly Armstrong, RN, MBA), research coordinators (Marleen Irwin, RRT/C, Lisa Fay, RN, Darlene Ramadan, RN, BN, Leslie Jackson-Carter, RN, BN, CCRP, Andrijana Lawton, RN) and all of the members of Alberta HEART including other Collaborators (Michael Stickland, PhD, Robert Haennel, PhD).
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