Using data to predict early signs of serious illness in premature infants.
Integrated physiomarker, biomarker and clinical predictive analytics for early warning of sepsis and necrotizing enterocolitis in very low birth weight infants.
This study is working on new ways to spot early signs of serious conditions like sepsis and necrotizing enterocolitis in tiny babies who are born very small, so doctors can help them faster and improve their chances of staying healthy.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project ID | NIH-10652474 on NIH RePORTER |
What this research studies
This research focuses on developing advanced predictive tools to identify early signs of sepsis and necrotizing enterocolitis in very low birth weight infants. By integrating various data sources, including clinical markers and biomarkers, the project aims to enhance early diagnosis and treatment, potentially improving survival rates and health outcomes. The research is led by Dr. Brynne Sullivan at the University of Virginia, who is gaining expertise in predictive analytics specifically for neonatal intensive care unit (NICU) patients. The goal is to create a comprehensive approach that allows healthcare providers to act swiftly when early warning signs are detected.
Who could benefit from this research
Good fit: Ideal candidates for this research are very low birth weight infants who are at risk for sepsis and necrotizing enterocolitis.
Not a fit: Patients who are not very low birth weight infants or those who do not exhibit risk factors for sepsis or necrotizing enterocolitis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce morbidity and mortality in very low birth weight infants by enabling earlier diagnosis and treatment of life-threatening conditions.
How similar studies have performed: Previous research has shown promise in using predictive analytics for early diagnosis in similar patient populations, indicating that this approach could be effective.
Where this research is happening
Charlottesville, United States
- University of Virginia — Charlottesville, United States (Active)
Researchers
- Principal investigator: Sullivan, Brynne Archer — University of Virginia
- Study coordinator: Sullivan, Brynne Archer
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.