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Early Diagnosis of Premature Births by Analysis of the Vaginal Microbiota
Sponsor: University Hospital, Clermont-Ferrand
Summary
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).
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
150
Start Date
2024-03-29
Completion Date
2025-11
Last Updated
2025-02-12
Healthy Volunteers
No
Conditions
Interventions
vaginal swab
Any pregnant woman attending the obstetrics department of Clermont-Ferrand University Hospital who requires a vaginal swab (VS) for her clinical situation (routine care) will be offered the study. If the participant accepts, the usual swab will be doubled and performed simultaneously in a single procedure using two swabs. The first swab will be sent to the laboratory and used for diagnosis. The second swab will be used for microbiota analysis.
Locations (1)
CHU de Clermont-Ferrand
Clermont-Ferrand, France