Relevance of Ultrasound Screening for Foetal Macrosomia

CHU de Reims3,000 enrolled

Overview

Management of fetal macrosomia is based on a suspicion of macrosomia (no certainty before birth). This management is an artificial induction of labour for an earlier delivery and therefore a lower fetal weight gain. Several studies have already shown that ultrasound performed during the third trimester of pregnancy was not a perfect tool for this screening.

The aim of the study is to describe management of women whose child is macrosomal but has not been screened g using ultrasound during the third trimester of pregnancy.

Study Type

OBSERVATIONAL

Enrollment

3,000

Conditions

Pregnancy

Interventions

Data recordOTHER

Data record

Eligibility

Sex: FEMALE

Medical Language ↔ Plain English

Inclusion criteria : Patients (consecutive inclusions) : Women pregnant Women followed in the gynaecology and obstetrics department of the CHU of Reims, the CHG of Charleville Mézières or the CHG of Chalons en Champagne. Women for which the delivery is planned in the gynaecology and obstetrics department of the Reims University Hospital, the Charleville Mézières General Hospital or the Chalons en Champagne General Hospital. Non-inclusion criteria Women without ultrasound dating scan in the first trimester. Women having a contraindication to labour or vaginal delivery Women with a scarred uterus Women having a history of shoulder dystocia or obstetric trauma Women having a history of urinary or fecal incontinence Women having a history of bad birth experience with high psychological impact Women with maternal pathologies (excluding gestational diabetes) Women whose fetus is breech Women with twin pregnancy

Locations (1)

Damien JOLLY

Reims, France

Outcomes

Primary Outcomes

Foetal macrosomia

estimated weight above the 90th percentile of the curves of the French College of Fetal Ultrasound during the third trimester ultrasound

Time frame: Baseline

Central Contacts

Uzma ISHAQUE

CONTACT

03 10 73 62 88 uishaque@chu-reims.fr

Data from ClinicalTrials.gov

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