Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

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
BMC Cardiovascular Disorders201414:91

DOI: 10.1186/1471-2261-14-91

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 ( 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.

Trial registration NCT02052804.


Heart 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 ( 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) [1]. 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 [6]. 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 [79]. 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 ( 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.


Trial status

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. NCT02052804.

Study design

This is a prospective observational cohort study of patients with, or at risk for, HF.

Study population

Patients are adults (i.e. aged over 18 years of age) recruited from Alberta (population 4.0 million), principally in Edmonton and Calgary but also from rural regions. In order to enroll and study patients across the spectrum of risk of developing HF, with signs or symptoms mimicking HF, or with a diagnosis of HF, a broad recruitment strategy that categorizes patients into 5 distinct groups is underway. The 5 distinct groups are:
  1. 1.

    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.

  2. 2.

    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.

  3. 3.

    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)).

  4. 4.

    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.

  5. 5.

    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.

Patients will be recruited from HF and other clinics across Alberta. Control patients are recruited through referrals from patients, clinicians and the broader community across Alberta via public advertising, media events and other public engagement. All patients signed informed consent and the study is approved by the Health Research Ethics Boards at the University of Alberta, Covenant Health and the University of Calgary. After consent, patients are enrolled and undergo comprehensive clinical, quality of life, biomarker, electrophysiologic and imaging assessments (Figure 1). Patients are also eligible for substudy enrollment (see below). Patients are re-assessed at 6 and 12 months and longer-term clinical and outcome surveillance is planned. Data is managed on the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease platform (
Figure 1

Alberta HEART study design.


Given the lack of a single accepted and validated definition for HF-PEF, the 3 most commonly used clinical criteria from landmark papers [1416] ongoing or completed trials [17, 18] or population studies [3, 10, 11] will be evaluated for applicability to the development of new criteria (Table 1). These criteria highlight two important points: (1) diagnostic uncertainty may exist and should be captured by any criteria proposed using a hierarchical methodology; and (2) time of evaluation may alter the certainty of the diagnosis as clinical findings (and non-invasive or invasive markers) may change with therapy or time. In addition, none of these 3 sets of criteria have been compared, or evaluated in the setting of other conditions, which may mimic symptoms of HF (e.g. lung disease, hypertension, diabetes, obesity, deconditioning).
Table 1

Current diagnostic criteria for HF-PEF


ESC [12, 14]

Vasan et al. [15]

Zile et al. [16, 19]

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)

Ejection fraction

LVEF > 50% and LVEDVI < 97 mls/m2

LVEF ≥ 50% within 72 hours of HF event**

LVEF > 50%

Echo/Cath/Biomarker evidence of diastolic dysfunction?



Not required

Abnormal LV relaxation, filling, distensibility indices on cardiac catheterization

#with diuretics, with or without documentation of elevated LV filling pressure (at rest, on exercise, or in response to a volume load) or a low cardiac index; **downgraded to “Probable” if EF not defined in first 72 hours; ***downgraded to “Possible” if no Echo or Cath evidence; ESC, European Society of Cardiology.

Each of the three definitions will be applied to the cohort in order to evaluate the sensitivity, specificity, diagnostic accuracy, positive predictive value and negative predictive value using the diagnostic testing model based on Bossuyt et al. [20] and Sackett and Haynes [21] and the reporting methods endorsed by STARD [22] and QUADAS-2 [23]. A reference standard for HF-PEF is currently absent. Therefore, we have chosen to use a consensus panel approach using a panel of adjudicators blinded to the group of original recruitment (Figure 2).
Figure 2

Alberta HEART adjudication process.

Phase 1

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.

Phase 2

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.

Phase 3

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.

Phase 4

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 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) [14], 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) [31] 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.

Vascular substudy

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 [34]. Exercise training in this group improved VO2max but not large vessel endothelial function [35]. 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 [36]. 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.

Biomarkers substudy

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; 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.

Risk substudy

Patients will undergo non-invasive risk evaluation using locally developed technology [41]. 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.

Clinical outcomes

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.

Recognizing that our prospectively-enrolled cohort will be subject to selection and referral biases, we also plan to use administrative data maintained by Alberta Health and Alberta Health Services to explore health service use and outcomes in all Albertans with HF. This will be used in two ways:
  1. 1.

    Patients who have provided consent in the prospectively collected cohort will be tracked longitudinally to capture all of their interactions with the healthcare system.

  2. 2.

    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.

Sample size

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.

Training program

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 ( 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.

Discovery science

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




Ejection fraction


Flow-mediated dilation


Heart Failure Etiology and Analysis Research Team


Heart failure


Heart failure with preserved ejection fraction


Heart failure with preserved systolic function


Left atrium


Late gadolinium enhancement


Left ventricle


Left ventricular ejection fraction


Magnetic resonance imaging


Pulmonary artery systolic pressure


Pulse arterial tonometry


Quality assessment of diagnostic accuracy studies 2


Right ventricle


Steady state free precession


STAndards for the reporting of diagnostic accuracy studies


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).

Authors’ Affiliations

Mazankowski Alberta Heart Institute
Libin Cardiovascular Institute of Alberta
Department of Cardiac Sciences, University of Calgary
Department of Medicine, University of Alberta
Department of Pediatrics, University of Alberta
Faculty of Nursing, University of Alberta
Department of Radiology, University of Calgary
Departments of Medicine and Radiology, Montreal Heart Institute, Université de Montréal
Faculty of Rehabilitation Medicine, University of Alberta
Department of Physiology, University of Alberta
Alberta Diabetes Institute, University of Alberta
Department of Pharmacology, University of Alberta
Department of Radiology and Diagnostic Imaging, University of Alberta
Department of Biomedical Engineering, University of Alberta


  1. Ezekowitz JA, Kaul P, Bakal JA, Quan H, McAlister FA: Trends in heart failure care: has the incident diagnosis of heart failure shifted from the hospital to the emergency department and outpatient clinics?. Eur J Heart Fail. 2011, 13: 142-147. 10.1093/eurjhf/hfq185.View ArticlePubMedGoogle Scholar
  2. Johansen H, Strauss B, Arnold JMO, Moe G, Liu P: On the rise: The current and projected future burden of congestive heart failure hospitalization in Canada. Can J Cardiol. 2003, 19: 430-435.PubMedGoogle Scholar
  3. Redfield MM, Jacobsen SJ, Burnett JC, Mahoney DW, Bailey KR, Rodeheffer RJ: Burden of systolic and diastolic ventricular dysfunction in the community. JAMA. 2003, 289: 194-202. 10.1001/jama.289.2.194.View ArticlePubMedGoogle Scholar
  4. Bhatia RS, Tu JV, Lee DS, Austin PC, Fang J, Haouzi A, Gong Y, Liu PP: Outcome of heart failure with preserved ejection fraction in a population-based study. N Engl J Med. 2006, 355: 260-269. 10.1056/NEJMoa051530.View ArticlePubMedGoogle Scholar
  5. Ezekowitz JA, Bakal JA, Kaul P, Westerhout CM, Armstrong PW: Acute heart failure in the emergency department: short and long-term outcomes of elderly patients with heart failure. Eur J Heart Fail. 2008, 10: 308-314. 10.1016/j.ejheart.2008.01.014.View ArticlePubMedGoogle Scholar
  6. Stewart AL, Greenfield S, Hays RD, Wells K, Rogers WH, Berry SD, McGlynn EA, Ware JE: Functional status and well-being of patients with chronic conditions. Results from the Medical Outcomes Study. JAMA. 1989, 262: 907-913. 10.1001/jama.1989.03430070055030.View ArticlePubMedGoogle Scholar
  7. McKelvie RS, Moe GW, Cheung A, Costigan J, Ducharme A, Estrella-Holder E, Ezekowitz JA, Floras J, Giannetti N, Grzeslo A, Harkness K, Heckman GA, Howlett JG, Kouz S, Leblanc K, Mann E, O'Meara E, Rajda M, Rao V, Simon J, Swiggum E, Zieroth S, Arnold JMO, Ashton T, D'Astous M, Dorian P, Haddad H, Isaac DL, Leblanc M-H, Liu P, et al: The 2011 Canadian Cardiovascular Society heart failure management guidelines update: focus on sleep apnea, renal dysfunction, mechanical circulatory support, and palliative care. Can J Cardiol. 2011, 27: 319-338. 10.1016/j.cjca.2011.03.011.View ArticlePubMedGoogle Scholar
  8. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE, Drazner MH, Fonarow GC, Geraci SA, HORWICH T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJV, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WHW, Tsai EJ, Wilkoff BL, American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation. 2013, 128: e240-e327.View ArticlePubMedGoogle Scholar
  9. Lindenfeld J, Albert NM, Boehmer JP, Collins SP, Ezekowitz JA, Givertz MM, Katz SD, Klapholz M, Moser DK, Rogers JG, Starling RC, Stevenson WG, Tang WHW, Teerlink JR, Walsh MN, Heart Failure Society of America: Comprehensive Heart Failure Practice Guideline. J Card Fail. 2010, 2010: e1-e194.Google Scholar
  10. Ezekowitz JA, Lee DS, Tu JV, Newman AM, McAlister FA: Comparison of One-Year Outcome (Death and Rehospitalization) in Hospitalized Heart Failure Patients With Left Ventricular Ejection Fraction >50% Versus Those With Ejection Fraction. Am J Cardiol. 2008, 102: 79-83. 10.1016/j.amjcard.2008.02.102.View ArticlePubMedGoogle Scholar
  11. Owan TE, Hodge DO, Herges RM, Jacobsen SJ, Roger VL, Redfield MM: Trends in prevalence and outcome of heart failure with preserved ejection fraction. N Engl J Med. 2006, 355: 251-259. 10.1056/NEJMoa052256.View ArticlePubMedGoogle Scholar
  12. McMurray JJV, Adamopoulos S, Anker SD, Auricchio A, Böhm M, Dickstein K, Falk V, Filippatos G, Fonseca C, Sanchez MAG, Jaarsma T, Køber L, Lip GYH, Maggioni AP, Parkhomenko A, Pieske BM, Popescu BA, Rønnevik PK, Rutten FH, Schwitter J, Seferovic P, Stepinska J, Trindade PT, Voors AA, Zannad F, Zeiher A, Bax JJ, Baumgartner H, Authors/Task Force Members, et al: ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2012, 33: 1787-1847.View ArticlePubMedGoogle Scholar
  13. McKelvie RS, Moe GW, Ezekowitz JA, Heckman GA, Costigan J, Ducharme A, Estrella-Holder E, Giannetti N, Grzeslo A, Harkness K, Howlett JG, Kouz S, Leblanc K, Mann E, Nigam A, O'Meara E, Rajda M, Steinhart B, Swiggum E, Le VV, Zieroth S, Arnold JMO, Ashton T, D'Astous M, DORIAN P, Haddad H, Isaac DL, Leblanc MH, Liu P, Rao V, et al: The 2012 Canadian Cardiovascular Society Heart Failure Management Guidelines Update: Focus on Acute and Chronic Heart Failure. CJCA. 2012, 1-14.Google Scholar
  14. Paulus WJ, Tschöpe C, Sanderson JE, Rusconi C, Flachskampf FA, Rademakers FE, Marino P, Smiseth OA, De Keulenaer G, Leite-Moreira AF, Borbély A, Edes I, Handoko ML, Heymans S, Pezzali N, Pieske B, Dickstein K, Fraser AG, Brutsaert DL: How to diagnose diastolic heart failure: a consensus statement on the diagnosis of heart failure with normal left ventricular ejection fraction by the Heart Failure and Echocardiography Associations of the European Society of Cardiology. Eur Heart J. 2007, 28: 2539-2550. 10.1093/eurheartj/ehm037.View ArticlePubMedGoogle Scholar
  15. Vasan RS, Levy D: Defining diastolic heart failure: a call for standardized diagnostic criteria. Circulation. 2000, 101: 2118-2121. 10.1161/01.CIR.101.17.2118.View ArticlePubMedGoogle Scholar
  16. Zile MR, Gaasch WH, Carroll JD, Feldman MD, Aurigemma GP, Schaer GL, Ghali JK, Liebson PR: Heart Failure With a Normal Ejection Fraction: Is Measurement of Diastolic Function Necessary to Make the Diagnosis of Diastolic Heart Failure?. Circulation. 2001, 104: 779-782. 10.1161/hc3201.094226.View ArticlePubMedGoogle Scholar
  17. Massie BM, Carson PE, McMurray JJ, Komajda M, McKelvie R, Zile MR, Anderson S, Donovan M, Iverson E, Staiger C, Ptaszynska A, I-PRESERVE Investigators: Irbesartan in patients with heart failure and preserved ejection fraction. N Engl J Med. 2008, 359: 2456-2467. 10.1056/NEJMoa0805450.View ArticlePubMedGoogle Scholar
  18. Cleland JGF: The perindopril in elderly people with chronic heart failure (PEP-CHF) study. Eur Heart J. 2006, 27: 2338-2345. 10.1093/eurheartj/ehl250.View ArticlePubMedGoogle Scholar
  19. Zile MR: New Concepts in Diastolic Dysfunction and Diastolic Heart Failure: Part I: Diagnosis, Prognosis, and Measurements of Diastolic Function. Circulation. 2002, 105: 1387-1393. 10.1161/hc1102.105289.View ArticlePubMedGoogle Scholar
  20. Bossuyt PM: Comparative accuracy: assessing new tests against existing diagnostic pathways. BMJ. 2006, 332: 1089-1092. 10.1136/bmj.332.7549.1089.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Sackett DL, Haynes RB: The architecture of diagnostic research. BMJ. 2002, 324: 539-541. 10.1136/bmj.324.7336.539.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Lijmer JG, Moher D, Rennie D, de Vet HCW, Standards for Reporting of Diagnostic Accuracy: Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. BMJ. 2003, 326: 41-44. 10.1136/bmj.326.7379.41.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Whiting PF, Rutjes AWS, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, Leeflang MMG, Sterne JAC, Bossuyt PMM: QUADAS-2 Group: QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011, 155: 529-536. 10.7326/0003-4819-155-8-201110180-00009.View ArticlePubMedGoogle Scholar
  24. Zile MR, Baicu CF, Gaasch WH: Diastolic heart failure–abnormalities in active relaxation and passive stiffness of the left ventricle. N Engl J Med. 2004, 350: 1953-1959. 10.1056/NEJMoa032566.View ArticlePubMedGoogle Scholar
  25. Westermann D, Kasner M, Steendijk P, Spillmann F, Riad A, Weitmann K, Hoffmann W, Poller W, Pauschinger M, Schultheiss H-P, Tschöpe C: Role of left ventricular stiffness in heart failure with normal ejection fraction. Circulation. 2008, 117: 2051-2060. 10.1161/CIRCULATIONAHA.107.716886.View ArticlePubMedGoogle Scholar
  26. Hay I, Rich J, Ferber P, Burkhoff D, Maurer MS: Role of impaired myocardial relaxation in the production of elevated left ventricular filling pressure. Am J Physiol Heart Circ Physiol. 2005, 288: H1203-H1208.View ArticlePubMedGoogle Scholar
  27. Redfield MM, Jacobsen SJ, Borlaug BA, Rodeheffer RJ, Kass DA: Age- and Gender-Related Ventricular-Vascular Stiffening. Circulation. 2005, 112 (15): 2254-2262. 10.1161/CIRCULATIONAHA.105.541078.View ArticlePubMedGoogle Scholar
  28. Borlaug BA, Kass DA: Ventricular-vascular interaction in heart failure. Cardiol Clin. 2011, 29: 447-459. 10.1016/j.ccl.2011.06.004.View ArticlePubMedGoogle Scholar
  29. Poole DC, Hirai DM, Copp SW, Musch TI: Muscle oxygen transport and utilization in heart failure: implications for exercise (in)tolerance. Am J Physiol Heart Circ Physiol. 2012, 302: H1050-H1063. 10.1152/ajpheart.00943.2011.View ArticlePubMedGoogle Scholar
  30. Haykowsky M, Brubaker P, Kitzman D: Role of physical training in heart failure with preserved ejection fraction. Curr Heart Fail Rep. 2012, 9: 101-106. 10.1007/s11897-012-0087-7.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Agostoni P, Cattadori G, Apostolo A, Contini M, Palermo P, Marenzi G, Wasserman K: Noninvasive Measurement of Cardiac Output During Exercise by Inert Gas Rebreathing Technique: A New Tool for Heart Failure Evaluation. J Am Coll Cardiol. 2005, 46: 1779-1781. 10.1016/j.jacc.2005.08.005.View ArticlePubMedGoogle Scholar
  32. Furchgott RF, Zawadzki JV: The obligatory role of endothelial cells in the relaxation of arterial smooth muscle by acetylcholine. Nature. 1980, 288 (5789): 373-376. 10.1038/288373a0.View ArticlePubMedGoogle Scholar
  33. Lerman A: Endothelial Function: Cardiac Events. Circulation. 2005, 111: 363-368. 10.1161/01.CIR.0000153339.27064.14.View ArticlePubMedGoogle Scholar
  34. Haykowsky MJ, Brubaker PH, Morgan TM, Kritchevsky S, Eggebeen J, Kitzman DW: Impaired Aerobic Capacity and Physical Functional Performance in Older Heart Failure Patients With Preserved Ejection Fraction: Role of Lean Body Mass. J Gerontol A: Biol Med Sci. 2013, 68: 968-975. 10.1093/gerona/glt011.View ArticleGoogle Scholar
  35. Kitzman DW, Brubaker PH, Herrington DM, Morgan TM, Stewart KP, Hundley WG, Abdelhamed A, Haykowsky MJ: Effect of Endurance Exercise Training on Endothelial Function and Arterial Stiffness in Older Patients With Heart Failure and Preserved Ejection Fraction: A Randomized, Controlled, Single-Blind Trial. J Am Chem Soc. 2013, 62: 584-592.Google Scholar
  36. Akiyama E, Sugiyama S, Matsuzawa Y, Konishi M, Suzuki H, Nozaki T, Ohba K, Matsubara J, Maeda H, Horibata Y, Sakamoto K, Sugamura K, Yamamuro M, Sumida H, Kaikita K, Iwashita S, Matsui K, Kimura K, Umemura S, Ogawa H: Incremental Prognostic Significance of Peripheral Endothelial Dysfunction in Patients With Heart Failure With Normal Left Ventricular Ejection Fraction. J Am Chem Soc. 2012, 60: 1778-1786.Google Scholar
  37. Anderson TJ, Charbonneau F, Buithieu J, Rose MS: Microvascular Function Predicts Cardiovascular Events in Primary Prevention Long-Term Results From the Firefighters and Their Endothelium (FATE) Study. Circulation. 2011, 123 (2): 163-169. 10.1161/CIRCULATIONAHA.110.953653.View ArticlePubMedGoogle Scholar
  38. Anderson TJ: Prognostic significance of brachial flow-mediated vasodilation. Circulation. 2007, 115 (18): 2373-2375. 10.1161/CIRCULATIONAHA.107.697045.View ArticlePubMedGoogle Scholar
  39. Braunwald E: Biomarkers in Heart Failure. N Engl J Med. 2008, 358: 2148-2159. 10.1056/NEJMra0800239.View ArticlePubMedGoogle Scholar
  40. Gerszten RE, Wang TJ: The search for new cardiovascular biomarkers. Nature. 2008, 451: 949-952. 10.1038/nature06802.View ArticlePubMedGoogle Scholar
  41. Roach DE, Morck ML, Sheldon RS, Duff HJ: Auto-entrainment risk assessment in heart failure. Circ Arrhythm Electrophysiol. 2013, 6: 129-136. 10.1161/CIRCEP.112.971986.View ArticlePubMedGoogle Scholar
  42. Kaul P, McAlister FA, Ezekowitz JA, Bakal JA, Curtis LH, Quan H, Knudtson ML, Armstrong PW: Resource use in the last 6 months of life among patients with heart failure in Canada. Arch Intern Med. 2011, 171: 211-217. 10.1001/archinternmed.2010.365.View ArticlePubMedGoogle Scholar
  43. Ezekowitz JA, van Walraven C, McAlister FA: Impact of specialist follow-up in outpatients with congestive heart failure. Can Med Assoc J. 2005, 172: 189-194. 10.1503/cmaj.1032017.View ArticleGoogle Scholar
  44. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:


© Ezekowitz et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.