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Enrolling by Invitation

NCT Number: NCT06280820

Multi-Scale Analysis of Phenotypes in Heart Failure (MAP-HEART)

Background:

More than 6.5 million people in the United States live with heart failure (HF), and more than a million new cases are diagnosed each year. Treatments have improved in recent years, but researchers want to understand more about how HF develops. To do this, they need to compare blood and other samples from many people with HF.

Objective:

To collect blood and other samples from people with HF. These samples will be used to identify and study proteins and other factors that may lead to decreased heart function over time.

Eligibility:

People aged 18 years and older with heart failure.

Design:

Participants will be asked to join the study based on a review of their medical records.

They will have 1 study visit. They will provide a blood sample: About 3 tablespoons will be collected from a needle inserted into a vein.

Other tests are optional: Participants may provide urine and stool samples. They may have a cotton swab rubbed on the inside of the mouth to collect DNA.

Participants may also take 3 questionnaires. They will answer questions about dietary, social, and other factors that affect their health. Participants will receive compensation.

Researchers will follow the participants health by monitoring their medical records for up to 5 years.

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Key information

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

INOVA Fairfax Hospital

Falls Church, Virginia, 22042, United States

About this study

Study Description:

Our general hypothesis is that clinical and molecular data will generate new mechanistic knowledge and transform our understanding of the heterogeneous forms of heart failure (HF) syndrome. To do so, we will create a data-rich ecosystem by building a population-based registry. By grounding our work in the community within the District of Columbia / Maryland/Virginia metropolitan region (DMV), we will optimize inference and facilitate community translation. We will prospectively recruit a community cohort of 2000 participants with clinical HF from the DMV area and collect blood samples to measure multi-omics (specifically proteomics, metabolomics)signatures. We will integrate the results of the multi-omics assays to electronic medical records (EMR)-driven phenotypic representation (e.g., symptoms at clinical presentation, comorbid conditions, frailty, imaging data, ejection fraction, and laboratory values) collected during clinical care. Patients' records will be followed for up to 10 years after recruitment to monitor key characteristics and events, including death.

Objectives:

Primary Objective:

-To study the association between multi-omics signatures with all-cause mortality

Secondary Objectives:

  • To study the association between multi-omics signatures with cardiovascular mortality
  • To study the cross-sectional association between multi-omics signatures with clinical sub-phenotypes of heart failure

Exploratory Objectives:

  • To study the association between multi-omics signatures with HF-related hospitalizations.
  • To study the cross-sectional association between multi-omics signatures and HF sub-phenotypes based on clinical biomarkers across the spectrum of heart failure.
  • To explore both germline (i.e., inherited) and somatic (i.e., de novo or acquired) genetic variants contributing to HF sub phenotypes.
  • To explore epigenetic and gene expression alterations contributing to HF sub phenotypes.

Endpoints:

Primary Endpoint will be all-cause mortality.

Secondary Endpoints will be:

  • Cardiovascular mortality
  • Clinical sub-phenotypes of heart failure are defined by the following:
  • Ejection Fraction, by echocardiogram (>=50% vs. < 50%)
  • Severity measured by New York Heart Association class (3-4 vs. 1-2)
  • HF duration (>=18 months vs. < 18 months)
  • Etiology (Ischemic vs. Non-Ischemic)
  • Comorbidity - diabetes, hypertension, chronic obstructive pulmonary disease, atrial fibrillation, cerebrovascular disease, body mass index (>=30 vs. < 30), age (median cut)

Exploratory Endpoints will be:

  • HF-related hospitalization
  • Biomarkers related to HF including N-terminal pro-brain natriuretic peptide (NT-proBNP), Cystatin C, Neutrophil gelatinase-associated lipocalin (NGAL), Galectin-3, soluble interleukin 1 1 (ST2), Troponin T, I, or C, Vascular cell adhesion protein 1 (VCAM-one), ICAM, E-selectin, CRP, TNF- alpha, interleukins, cortisol, and/or adiponectin
  • Genomic analyses including whole exome or whole genome sequencing (WGS) to determine pathways, genes, genetic variants, and structural changes to DNA that may be related to HF syndrome.
  • Epigenetic analyses including DNA methylation measurements to characterize differentially methylated sites that may be related to HF syndrome.
  • Transcriptomic analyses to characterize alterations to gene expression that may be related to HF syndrome.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

  • INCLUSION CRITERIA:

In order to be eligible to participate in this study, an individual must meet all of the following criteria:

  • Clinical diagnosis of "active" HF documented by a cardiology provider's note in the medical record. Active HF is the presence of signs or symptoms that are deemed to be related to heart failure, as documented in the participants' medical records.
  • Able and willing to undergo the consent process and provide consent
  • Willing to comply with required study activities
  • 18 years of age or older

Exclusion criteria

An individual who meets any of the following criteria will be excluded from participation in this study:

  • History of ventricular assist device
  • History of cardiac transplant
  • Living or residing outside of the geographic location designated for the study at the time of enrollment

Treatment and study plan

Primary outcomes

  1. To study the association between multi-omics signatures with all-cause mortality

    Time frame: 10 years

    The heterogeneous HF syndrome encompasses different and poorly defined entities. Multi-omics can improve its characterization and the prediction of mortality, which remains high. All-cause mortality will be analyzed as the time from enrollment to all-cause death.

Secondary outcomes

  1. Clinical phenotypes defined by:Ejection Fraction (>=50 vs. < 50)NYHA (3-4 vs. 1-2)

    Time frame: >=18 months vs. < 18 months

    Cardiovascular mortality is an important part of all-cause mortality and will be evaluated as a secondary outcome. Cardiovascular mortality will be analyzed as the time from enrollment to cardiovascular death

  2. To study the cross-sectional association between multi-omics signatures with clinical sub-phenotypes of heart failure

    Time frame: 5 years

    Clinical phenotypes defined by:Ejection Fraction (>=50 vs. < 50) NYHA (3-4 vs. 1-2)Duration of HF (>=18 months vs. < 18 months) Etiology (Ischemic vs. Non- Ischemic) Comorbidity - diabetes, hypertension, chronic

Sponsors and collaborators

Lead sponsor

National Heart, Lung, and Blood Institute (NHLBI)

Nih

Registry information

Official study title

Multi-scale Phenotyping of Heart Failure: From Precision Phenotyping to Population Inference (PHENO-HEART)

Important dates

Study start
2026
Primary completion
2028
Study completion
2034
First posted
Feb 28, 2024
Registry last updated
Jul 30, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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