Using health records and biological data to find heart failure subtypes and treatment targets
HeartShare DeCODE-HF: Data translation center to Combine Omics, Deep phenotyping, and Electronic health records for Heart Failure subtypes and treatment targets
This project combines medical records, biological samples, and detailed clinical tests to better understand different types of heart failure and point toward better treatments for people living with heart failure.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Northwestern University NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project ID | NIH-11121866 on NIH RePORTER |
What this research studies
From a patient's perspective, Northwestern's Data Translation Center will bring together past medical records and new patient data collected at four clinical centers. The team will link electronic health records with blood and tissue samples, genetic and molecular (multi-omics) tests, and detailed clinical measurements (deep phenotyping). Machine learning and biostatistics will be used to find patterns that define heart failure subtypes and suggest possible treatment targets. The center coordinates data sharing, biorepositories, and site recruitment to speed discovery across the HeartShare network.
Who could benefit from this research
Good fit: Ideal participants are people with heart failure (including HFpEF) who can share medical records and provide blood or other biological samples and clinical follow-up.
Not a fit: People without heart failure, those unwilling to share medical records or provide samples, or those with unrelated cardiac issues are unlikely to benefit directly from this project.
Why it matters
Potential benefit: If successful, this work could help doctors match treatments to specific heart failure subtypes and improve patient outcomes.
How similar studies have performed: Related efforts combining EHRs, biobanks, and multi-omics have shown promise in other conditions, but fully integrating these data types for heart failure subtyping is a newer approach.
Where this research is happening
Chicago, United States
- Northwestern University — Chicago, United States (Active)
Researchers
- Principal investigator: Shah, Sanjiv J — Northwestern University
- Study coordinator: Shah, Sanjiv J
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.