Precision risk tools for blood clots and bleeding in critically ill children
Official title: Secondary Analysis of the Children's Healthcare Advancements in Thrombosis (CHAT) Consortium Dataset
Funded at University of California, San Diego · NIH-11445625 · Data updated 2026-11-12
A pediatric-focused project will use existing data from many hospitals to build and test a risk model that helps doctors decide which very sick kids might benefit from clot-prevention therapies.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | August 1, 2026 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $189,000 |
| NIH project number | 1R21HL181655-01A1 |
| Project ID | NIH-11445625 on NIH RePORTER |
Who could benefit from this research
✓Could help
Critically ill children admitted to pediatric ICUs at participating CHAT centers with available clinical and laboratory data.
✕Less likely to help
Children outside ICU settings or without high risk factors may not see a direct benefit from these risk models.
What this research studies
This project analyzes a large dataset of over 4,600 children admitted to pediatric ICUs to create risk scores for venous thromboembolism and bleeding. By identifying the worst-affected patterns and key lab and clinical factors, clinicians could tailor prevention strategies to each child. The work uses secondary analysis of existing CHAT data to build and validate the models, aiming to guide safer care for high-risk pediatric patients. It seeks to provide practical tools that could be used in real clinical settings to balance thrombosis risk with bleeding risk.
Why it matters
Potential benefit: If successful, clinicians could more accurately identify which children need thromboprophylaxis, potentially reducing blood clots while minimizing bleeding risks.
How similar studies have gone: Prior pediatric VTE studies show promise for risk-based approaches, but this project emphasizes a validated RAM using a large, multicenter dataset.
Where this research is happening
-
University of California, San Diego
La Jolla, United States Active
Researchers
- Principal investigator: Jaffray, Julie Ann — University of California, San Diego
- Study coordinator: Jaffray, Julie Ann
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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.