Actively Recruiting
Early Diagnosis of Premature Births by Analysis of the Vaginal Microbiota
Led by University Hospital, Clermont-Ferrand · Updated on 2025-02-12
150
Participants Needed
1
Research Sites
83 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Objectives: to assess the relevance of the RiboTaxa algorithm coupled with neural network learning based on analysis of vaginal microbiota metagenomic sequencing data for predicting prematurity in an identified at-risk population. Study description: Longitudinal follow-up of a cohort of pregnant women, with collection of biological samples, and a posteriori case-control comparison based on the occurrence of an event (premature birth).
CONDITIONS
Official Title
Early Diagnosis of Premature Births by Analysis of the Vaginal Microbiota
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Pregnant women admitted to the Clermont-Ferrand University Hospital maternity ward from 14 weeks' gestation onwards
- Threat of preterm birth characterized by contractile activity and/or cervical changes, or premature rupture of fetal membranes
- Need for vaginal swabbing
- Single or multiple pregnancy
- Able to understand and agree to the study
- Covered by a French social security scheme
- Provide informed consent for the study
You will not qualify if you...
- Patient under guardianship, curatorship, or safeguard of justice
- Received antibiotic therapy in the 2 weeks prior to admission
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
CHU de Clermont-Ferrand
Clermont-Ferrand, France
Actively Recruiting
Research Team
L
Lise Laclautre
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
DIAGNOSTIC
Number of Arms
1
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