Predicting heart arrest in children with congenital heart defects
Multi-Site Validation Study of the HLHS Arrest Predictor
This study is working on a smart computer program that can help doctors spot when children with a serious heart condition called hypoplastic left heart syndrome might be at risk of a heart or breathing emergency, so they can act quickly to keep them safe.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10418753 on NIH RePORTER |
What this research studies
This research aims to develop a machine learning algorithm that can predict cardio-respiratory arrest events in children with a severe congenital heart defect known as hypoplastic left heart syndrome. By analyzing over 55,000 hours of vital sign data, the algorithm seeks to provide early warnings to healthcare providers, allowing for timely interventions that could prevent life-threatening situations. The study will validate this predictive tool across multiple clinical centers to ensure its effectiveness in diverse healthcare settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are children diagnosed with hypoplastic left heart syndrome who are at risk of cardio-respiratory arrest.
Not a fit: Patients with other congenital heart defects not related to hypoplastic left heart syndrome may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce mortality rates and improve outcomes for children with congenital heart defects by preventing cardio-respiratory arrests.
How similar studies have performed: Preliminary studies have shown success with similar predictive algorithms at Texas Children's Hospital, indicating potential for broader application.
Where this research is happening
Houston, United States
- Baylor College of Medicine — Houston, United States (Active)
Researchers
- Principal investigator: Rusin, Craig G — Baylor College of Medicine
- Study coordinator: Rusin, Craig G
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.