RecruitingNCT05873634

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

HeartShare Deep Phenotyping Study

Sponsor

Northwestern University

Enrollment

1,000 participants

Start Date

Mar 1, 2023

Study Type

OBSERVATIONAL

Conditions

Heart Failure Heart Failure With Preserved Ejection Fraction

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.

Eligibility

Min Age: 30 Years

Plain Language Summary

Simplified for easier understanding

This study is building a large research database (registry) that combines detailed clinical information, genetic and blood biomarker data, and health records to better understand the different subtypes of heart failure — and to identify new treatment targets. Some participants will also undergo detailed heart testing. **You may be eligible if...** - You are 30 or older - You have a previous diagnosis of heart failure recorded in your medical record (to join the heart failure group), OR - You are 30 or older with no history of heart failure (to join the comparison group) **You may NOT be eligible if...** - You are under 30 years old - For the non-heart-failure group: you have a known heart failure diagnosis or have had abnormal heart failure blood markers in the past Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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