Heart Failure With Preserved Ejection Fraction (HFPEF)
Conditions
Keywords
Heart failure, Heart Failure with Preserved Ejection Fraction (HFpEF), Cardiovascular Mortality, Cardiovascular Disease, Chronic Heart Failure
Brief summary
The goal of this observational study is to improve early detection, characterization, and understanding of heart failure with preserved ejection fraction (HFpEF) in adults at risk of or diagnosed with HFpEF, including men and women across Danish regions. The main questions to answer are: Can systematic cardiovascular screening and deep phenotyping improve early identification and classification of HFpEF? Which clinical, imaging, biomarker, and metabolic characteristics define subtypes (phenotypes) of HFpEF and predict disease progression and outcomes? Researchers will compare participants with HFpEF, participants at risk of HFpEF, and relevant control groups to see if differences in biomarkers, imaging findings, and clinical characteristics can identify early disease stages and distinct HFpEF phenotypes. Participants identified with HFpEF will: * Undergo detailed cardiovascular examinations (e.g., echocardiography, CT and other imaging examinations, RHC, CPET) * Provide blood and tissue samples for biomarker and metabolic analyses * Complete clinical assessments and questionnaires * Have relevant health data collected from national health registries * Attend follow-up assessments to monitor disease progression
Detailed description
Heart failure (HF) with preserved ejection fraction (HFpEF) is a heterogeneous syndrome that will benefit from early diagnosis, extensive diagnostic work-up, and individualized therapy. HF is a global health problem and one of the leading causes of cardiovascular (CV) morbidity and mortality. While many pharmacological and interventional treatments have been developed for HF with reduced ejection fraction (HFrEF), the HFpEF syndrome is poorly characterised with very few treatment possibilities. Whilst HFrEF was previously associated with a much worse prognosis than HFpEF, the two conditions today have comparable outcomes. Besides having a high mortality, HFpEF is also associated with a low quality of life and recurrent hospitalisations. Almost all treatments that have been successful in HFrEF have failed in HFpEF, underscoring the inadequate understanding of this disease. When HFpEF is diagnosed, it is often at a very late stage (near end-stage), thus compromising the potential benefits of treatment. As HFpEF is believed to be a result of the long-term detrimental effects from various diseases such as hypertension, diabetes, obesity, chronic kidney disease and others, earlier diagnosis of HFpEF and strict disease modification of the precipitating disease(s) may alter disease course and hence prognosis. The aim of CAPTURE-HFpEF is to identify patients with HFpEF at earlier stages of the disease at a national level and identify important subgroups (phenotypes) that may benefit from different treatments. Furthermore, the CAPTURE-HFpEF initiative will determine mechanisms important for the etiology of the different HFpEF phenotypes. This includes the use of existing and novel experimental models that mimic aspects of the syndrome for comparative phenotyping, biomarker screening, and potentially testing of experimental therapeutics. Combining insights from HFpEF experimental models with data obtained from deep phenotyping will make it possible to develop and potentially implement personalized therapeutics for each identified HFpEF phenotype. The study leverages Danish national registries and the secure e-mail system (e-Boks) to invite potential participants. Approximately 30,000 adults with risk factors for HFpEF and self-reported dyspnea will undergo AI-driven echocardiography, ECG, blood sampling, and detailed clinical assessment. Additionally, 200-500 patients with established HFpEF diagnoses will be included for comparative analyses. Deep phenotyping includes genotyping, proteomics, metabolomics, and advanced imaging (CT, MR, echocardiography, DPD-scintigraphy), myocardial biopsies and CPET to characterize subtypes of HFpEF and explore upstream abnormalities leading to disease progression. The operational office is the central HUB of the project. The HUB is responsible for the daily running of all parts of the initiative and will be in charge of coordinating with the spokes (Examination facilities) with regards to data gathering, administration of the database and data availability to researchers. The HUB is located at Herlev Hospital. Patient examination facilities/spokes will be present in all regions of Denmark and capable of all aspects of the initial examination. Parts of the deep phenotyping will also be performed in these clinics, whereas many advanced analyses are to be outsourced to different core laboratories. It is the intention that each spoke has a secretary, examination staff and affiliated research staff (Senior PI, PhDs and post-docs).
Interventions
Observational measurements including collection of blood for biomarker and genetic analyses, echocardiography, ECG, and extraction of clinical data from electronic health records (comorbidities, medications, and prior hospitalizations). No treatment or procedure is assigned; all data reflect routine care and participant characteristics.
Sponsors
Study design
Eligibility
Inclusion criteria
* Patients \>60 years with ≥1 risk factor, OR * Patients \>50 years with ≥2 risk factors * Hypertension * Type 1 or 2 diabetes * Chronic kidney disease (eGFR \<60 mL/min/1.73 m²) * Previous cardiotoxic drug exposure * atrial fibrillation * Ischemic heart disease * Previous heart valve surgery/intervention * Body mass index \>30 kg/m² (self-reported) * Use of ≥40 mg furosemide * Obstructive sleep apnea * Non-alcoholic fatty liver disease
Exclusion criteria
* Cancer \<1 year * Dialysis * COPD and O2 * Nursing home * Age \>90 years * Dementia * Known dilated cardiomyopathy * Prior organ-transplantation * Amyloidosis
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Early identification of HFpEF | baseline, pre-intervention | Proportion (%) of individuals identified through the screening procedures outlined in the protocol among the target population. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Response, acceptance, and attendance rates | Up to 24 months | The proportion (%) of invited individuals who respond to the study invitation (response rate), the proportion (%) of responders who agree to participate (acceptance rate), and the proportion (%) of participants who attend the scheduled study visit (attendance rate). |
| Barriers to participation | Up to 24 months | Reported reasons for non-participation categorized and presented as percentages among individuals declining participation. |
| Patterns among non-responders | Up to 24 months | Distribution of non-responders based on educational attainment, household income, and geographic distance to the study site as indicators of socioeconomic and sociodemographic status, presented as percentages. |
| Prevalence of Heart failure with preserved ejection fraction in risk factor subgroups | Up to 24 months | Prevalence (%) of HFpEF among predefined risk factor subgroups, including individuals with diabetes, hypertension, and chronic kidney disease. |
| Feasibility of the logistical screening setup | Up to 24 months | Assessment of the logistical setup required to continuously examine individuals at risk for HFpEF within the study framework. |
Countries
Denmark
Contacts
Department of Cardiology, Herlev and Gentofte Hospital, Copenhagen, Denmark