Predicting blood flow outcomes in patients with borderline left ventricles
Official title: Personalized Computational Modeling for Predicting Hemodynamics in Borderline Left Ventricles
Funded at Columbia Univ New York Morningside · NIH-10989372 · Data updated 2026-11-12
This study is working on creating personalized models to help doctors predict how blood flows in patients with underdeveloped left ventricles, so they can better decide which heart surgery might work best for each person and improve their recovery.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia Univ New York Morningside NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 7, 2024 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $217,061 |
| NIH project number | 1R21LM014481-01A1 |
| Project ID | NIH-10989372 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are neonates and young adults diagnosed with borderline left ventricle conditions who are facing decisions about surgical interventions.
✕Less likely to help
Patients with fully developed left ventricles or those who do not have borderline left ventricle conditions may not benefit from this research.
What this research studies
This research focuses on developing personalized computational models to predict blood flow dynamics in patients with borderline left ventricles, a condition where the left ventricle is underdeveloped. By utilizing advanced Bayesian statistical methods, the study aims to improve decision-making regarding surgical options, such as biventricular repair or single ventricle palliation. The goal is to identify which patients are more likely to benefit from specific surgical interventions, thereby enhancing postoperative outcomes. This approach seeks to address the current limitations in clinical guidelines that rely heavily on morphological measurements and existing hemodynamic data.
Why it matters
Potential benefit: If successful, this research could lead to more tailored surgical interventions for patients with borderline left ventricles, improving their long-term health outcomes.
How similar studies have gone: While there have been studies on surgical outcomes for similar cardiac conditions, this specific computational modeling approach is relatively novel and untested.
Where this research is happening
-
Columbia Univ New York Morningside
New York, United States Active
Researchers
- Principal investigator: Vedula, Vijay — Columbia Univ New York Morningside
- Study coordinator: Vedula, Vijay
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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.