287: Exploratory research on first and second trimester urinary metabolic profiles and fetal growth restriction

The article presents the effectiveness of Dopplerometry for assessing blood flow in large vessels, including the umbilical, uterine artery and middle cerebral artery, 90 women were examined in the second trimester, and 45 women showed signs of placental insufficiency, such as fetal growth restriction syndrome at 28-34 weeks. The results of the study showed that 23 (51.1%) women had signs of subcompensated insufficiency of uteroplacental blood flow, and 11 (24.4%) women showed signs of fetal-placental blood flow. The study of the uteroplacental-fetal blood flow allows early detection of early signs of impairment in the fetoplacental system and its timely correction.

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977: Fetal growth restriction: First trimester abnormal analytes, second trimester uterine artery - complementary or redundant?

American Journal of Obstetrics and Gynecology ◽

10.1016/j.ajog.2019.11.988 ◽

2020 ◽

Vol 222 (1) ◽

pp. S606-S607

Author(s):

Sara Jones ◽

Amir Aviram ◽

Ludmila Porto ◽

Tianhua Huang ◽

Jon Barrett ◽

...

Keyword(s):

Fetal Growth ◽

Fetal Growth Restriction ◽

Uterine Artery ◽

First Trimester ◽

Growth Restriction ◽

Second Trimester

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Fetal growth restriction: First trimester abnormal analytes, second trimester uterine artery—complementary or redundant?

Journal of Obstetrics and Gynaecology Canada ◽

10.1016/j.jogc.2020.02.052 ◽

2020 ◽

Vol 42 (5) ◽

pp. 677

Author(s):

Sara Jones ◽

Amir Aviram ◽

Ludmila Porto ◽

Tianhua Huang ◽

Jon Barrett ◽

...

Keyword(s):

Fetal Growth ◽

Fetal Growth Restriction ◽

Uterine Artery ◽

First Trimester ◽

Growth Restriction ◽

Second Trimester

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First‐trimester and combined first‐ and second‐trimester prediction of small‐for‐gestational age and late fetal growth restriction

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.19055 ◽

2018 ◽

Vol 53 (1) ◽

pp. 55-61 ◽

Cited By ~ 7

Author(s):

A. Sotiriadis ◽

F. Figueras ◽

M. Eleftheriades ◽

G. K. Papaioannou ◽

G. Chorozoglou ◽

...

Keyword(s):

Fetal Growth ◽

Gestational Age ◽

Small For Gestational Age ◽

Fetal Growth Restriction ◽

First Trimester ◽

Growth Restriction ◽

Second Trimester

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Prediction of late-onset fetal growth restriction using a combined first- and second-trimester screening model in South Chinese infants: a retrospective study

10.21203/rs.2.17844/v1 ◽

2019 ◽

Author(s):

Haiqing Zheng ◽

Yan Feng ◽

Jiexin Zhang ◽

Kuanrong Li ◽

Huiying Liang ◽

...

Keyword(s):

Retrospective Study ◽

Birth Weight ◽

Fetal Growth ◽

Fetal Growth Restriction ◽

Detection Rate ◽

Prediction Models ◽

Late Onset ◽

Growth Restriction ◽

Abdominal Circumference ◽

Second Trimester

Abstract Background Prediction models for early and late fetal growth restriction (FGR) have been established in many high-income countries. However, prediction models for late FGR in China are limited. This study aimed to develop a simple combined first- and second-trimester prediction model for screening late-onset FGR in South Chinese infants.Methods This retrospective study included 2258 women who had singleton pregnancies and received routine ultrasound scans. Late-onset FGR was defined as a birth weight < the 10th percentile plus abnormal Doppler indices and/or a birth weight below the 3rd percentile after 32 weeks, regardless of the Doppler status. Multivariate logistic regression was used to develop a prediction model.Results Ninety-three fetuses were identified as late-onset FGR. The significant predictors for late-onset FGR were maternal age, height, weight, and medical history; the second-trimester head circumference (HC)/abdominal circumference (AC) ratio; and the estimated fetal weight (EFW). This model achieved a detection rate (DR) of 52.6% for late-onset FGR at a 10% false positive rate (FPR) (area under the curve (AUC): 0.80, 95%CI 0.76-0.85).Conclusions A multivariate model combining first- and second-trimester default tests can detect 52.6% of cases of late-onset FGR. Further studies with more screening markers are needed to improve the detection rate.

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