Prediction of small-for-gestational-age neonates at 33–39 weeks’ gestation in China: logistic regression modeling of the contributions of second- and third-trimester ultrasound data and maternal factors

Prediction of small-for-gestational-age neonates at 33–39 weeks’ gestation in China: logistic regression modeling of the contributions of second- and third-trimester ultrasound data and maternal factors

Abstract Objectives A screening model for prediction of small-for-gestational-age (SGA) neonates (SGAp) was established by logistic regression using ultrasound data and maternal factors (MF). We aimed to evaluate the ability of SGAp as well as abdominal circumference (AC) and estimated fetal weight...

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Bibliographic Details
Main Authors: Danping Xu, Xiuzhen Shen, Heqin Guan, Yiyang Zhu, Minchan Yan, Xiafang Wu
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Pregnancy and Childbirth
Subjects:
Small-for-gestational-age
Ultrasound
Estimated fetal weight
Abdomen circumference
Third-trimester screening
Online Access:https://doi.org/10.1186/s12884-022-04991-7

Internet

https://doi.org/10.1186/s12884-022-04991-7

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