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HeartShare: Combining Omics, Deep Phenotyping, and Electronic Health Records for Heart Failure Subtypes and Treatment Targets

HeartShare Deep Phenotyping Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05873634
Enrollment
1000
Registered
2023-05-24
Start date
2023-03-01
Completion date
2026-12-01
Last updated
2026-04-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Failure, Heart Failure With Preserved Ejection Fraction

Brief summary

HeartShare is a comprehensive study of heart failure, a common and serious medical condition which occurs when the heart is unable to keep up with the demands of the body, resulting in shortness of breath, fluid retention, and fatigue. HeartShare aims to better classify heart failure into subtypes to help develop more personalized treatments for patients, with the hope that this will improve the lives of heart failure patients. To do this, HeartShare is bringing together a large amount of data (including images, such as heart ultrasounds and MRIs and molecular data from the blood, such as genetics) from previously conducted studies and electronic health records, and is gathering new data through participants enrolled in the HeartShare Deep Phenotyping Study.

Interventions

None listed

Sponsors

Northwestern University
Lead SponsorOTHER
National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
Massachusetts General Hospital
CollaboratorOTHER
Brigham and Women's Hospital
CollaboratorOTHER
Mayo Clinic
CollaboratorOTHER
University of California, Davis
CollaboratorOTHER
Wake Forest University Health Sciences
CollaboratorOTHER
University of Pennsylvania
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
30 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

HF Inclusion Criteria (HeartShare Registry) 1. Age ≥30 years. 2. Prior diagnosis of HF in the EHR (any left ventricular ejection fraction). Non-HF Group Inclusion Criteria (HeartShare Registry) 1. Age ≥30 years. 2. No known prior diagnosis of HF or use of loop diuretics. 3. No known prior history of BNP \>100 pg/ml or NTproBNP \>300 pg/ml, if prior laboratory tests are available in the EHR. HFpEF Inclusion Criteria (HeartShare Deep Phenotyping Cohort) 1. Age ≥30 years. 2. Left ventricular ejection fraction ≥50% measured by echocardiography. 3. Definition of HFpEF: signs and symptoms of HF, NYHA functional class II-IV, and at least one of the following: 1. Elevated BNP (≥75 pg/ml in sinus rhythm or ≥225 pg/ml in atrial fibrillation/flutter) or NTproBNP (≥225 pg/ml in sinus rhythm or ≥675 in atrial fibrillation/flutter) at baseline. Choice of BNP or NTproBNP is based on availability at each clinical center. 2. Prior HF hospitalization (primary reason for the hospitalization is HF with elevated natriuretic peptide levels \[using the thresholds listed above\], requiring IV diuresis for HF, or pulmonary edema or pulmonary vascular congestion on chest radiography). 3. Elevated pulmonary capillary wedge pressure (PCWP) at rest (≥15 mmHg) or during exercise (≥25 mmHg for supine exercise or PCWP/cardiac output ratio ≥2 mmHg/L/min for upright exercise). 4. Elevated H2FPEF score26 (≥5) or HFA-PEFF27 score (≥5). Non-HFpEF Group Inclusion Criteria (HeartShare Deep Phenotyping Cohort) 1. Age ≥30 years. 2. Left ventricular ejection fraction ≥50% measured by echocardiography. 3. No known prior diagnosis of HF or use of diuretics for fluid management. 4. No known prior history of BNP ≥75 pg/ml or NTproBNP ≥225 pg/ml, if prior laboratory tests are available in the EHR. 5. BNP \<75 pg/ml or NTproBNP \<225 pg/ml at the time of screening. Choice of BNP or NTproBNP is based on availability at each clinical center.

Design outcomes

Primary

MeasureTime frame
Number of participants with Heart Failure with Preserved Ejection Fraction (HFpEF)Up to 5 years

Countries

United States

Contacts

CONTACTLaura Alagna
heartsharestudy@northwestern.edui312-695-6765
PRINCIPAL_INVESTIGATORSanjiv Shah, MD

Northwestern University

STUDY_CHAIRSvati Shah, MD, MHS

Duke University

STUDY_CHAIRJaved Butler, MPH, MBA

Baylor Scott and White Health

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 14, 2026