Birth weight prediction models for the different gestational age stages in a Chinese population.

ABSTRACT: The study aims to develop new birth weight prediction models for different gestational age stages using 2-dimensional (2D) ultrasound measurements in a Chinese population. 2D ultrasound was examined in pregnant women with normal singleton within 3 days prior to delivery (28-42 weeks' gestation). A total of 19,310 fetuses were included in the study and randomly split into the training group and the validation group. Gestational age was divided into five stages: 28-30, 31-33, 34-36, 37-39 and 40-42 weeks. Multiple linear regression (MLR), fractional polynomial regression (FPR) and volume-based model (VM) were used to develop birth weight prediction model. New staged prediction models (VM for 28-36 weeks, MLR for 37-39 weeks, and FPR for 40-42 weeks) provided lower systematic errors and rando

SUBMITTER: Li C 

PROVIDER: S-EPMC6658529 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature