Predictive Diagnosis of Ulcero-Necrotizing EnteroColitis in Premature Babies Using an Artificial Intelligence Approach Based on Early Analysis of the Fecal Microbiota
Sponsor: University Hospital, Clermont-Ferrand
Trial Details
| Condition | Necrotizing Enterocolitis (NEC), Healthy Control |
| Intervention | Ability of early digestive microbiota analysis (using artificial intelligence) to predict the occurrence of NEC diagnosed according to the Bell classification. |
| Phase | NA |
| Status | Recruiting |
| Participants | 1,000 |
| Est. Completion | 1 June 2027 |
| Last Updated | 6 Apr 2026 |
Primary Outcome
predictive diagnostic of NEC based on artificial intelligence analysis of fecal microbiota
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Child born prematurely (i.e. before 34 weeks of amenorrhea) in one of participating university hospitals and hospitalized in neonatal intensive care units of the AURA region's university hospitals * Child born outside CHU and transferred before 24h of life to the neonatal intensive care unit of one of thehospital participating in the study * Affiliated with a Social Security scheme Exclusion Criteria: * Child whose guardians are protected by law (guardianship, curatorship, safeguard of justice) * Children whose parents are under 18 years of age * Refusal of parental authority to participate
Trial Sites
Countries
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