Intelligent Physiological Monitoring to Predict Preterm Brain Injury
Condition(s) studied
Investigational drug(s) / intervention(s)
EEG: During the first 72 hours after birth
NIRS: During the first 72 hours after birth
Study summary
Cerebral palsy (CP) remains prevalent among very (28-31 weeks) and extremely (\<28 weeks) preterm infants. Prematurity-related brain injuries (high-grade intraventricular haemorrhage, IVH or periventricular leukomalacia, PVL) develop usually during the first few days after birth and are a strong predictor of CP. Development of IVH or PVL have been linked to hemodynamic instability. Artificial intelligence (AI) provides an opportunity to detect patterns from continuous physiological monitoring data that are associated with prematurity-related brain injury. A dataset of extremely preterm infants will be collated from previous INFANT Research Centre study cohorts. A separate but aligned anonymous dataset will be obtained from the University of Graz. Continuous physiological monitoring data will be analyzed with AI algorithms to identify infants with the highest risk of brain injury.
Eligibility
Primary outcome measure(s)
- Early brain injury or death — Within 36 weeks of gestation
IVH, PVL or death - Cerebral palsy (CP) — At 3 years
CP diagnosis
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| University College Cork | Cork | Cork |
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07880431 on ClinicalTrials.gov ↗ ← All trials in Ireland