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Third trimester ultrasound scan combined with a clinical method for accurate birthweight prediction at term: A cohort study in Spain

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Abstract

Objective: To develop and assess an equation based on maternal clinical parameters and third trimester ultrasound biometry (combined method), and compare it with ultrasound-estimated foetal weight (EFW) calculated using the Hadlock 2 formula. Material and methods: Cohort study. A total of 1,224 women with singleton pregnancies who had undergone foetal ultrasound scanning (USS) at 34 weeks were recruited. The study was conducted at a reference center in Valencia (Spain) between January and December 2016. A gestation-adjusted projection (GAP) method was applied to estimated foetal-weight-for-gestational-age by foetal gender at delivery (EFWa). A multivariate regression was created to estimate foetal weight at term (EFWmr) using anthropometric, demographic, ultrasonographic and obstetric-neonatal variables. EFWa and EFWmr were calculated and compared with actual birthweight. Results: The proportion for EFWmr within < 10% of actual birthweight was greater than EFWa (82% vs. 65%, p < 0.001). The mean relative error in foetal-weight predictions by using EFWmr was reduced from 6.7% to 0.9% (difference 5.7% 95% CI: 5.4 to 6.0) paired t-test p < 0.001, significantly improving the accuracy attainable with USS. The EFWmr outperformed the GAP method in predicting birthweight, within 1% relative error. For newborns < 2,500 g, the proportion of estimates within < 10% of the actual birthweight for the EFWmr was greater than that of the EFWa (20.4 vs. 16.3%, p=0.005). For babies with normal birthweight (2,500-3,999 g), EFWmr was a better predictor of birthweight than EFWa (84.5 vs. 65.7%, p < 0.001). Conclusions: Mathematical modelling to predict birthweight improves third trimester routine ul trasound measurement to estimate neonatal weight at term.

Original languageEnglish
Pages (from-to)27-38
Number of pages12
JournalRevista Colombiana de Obstetricia y Ginecologia
Volume70
Issue number1
DOIs
Publication statusPublished - 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© FECOLSOG.

Keywords

  • Birth weight
  • Multivariate analysis
  • Pregnancy
  • Statistics
  • Ultrasonography

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