Can We Improve the Birth Weight Prediction Using the Symphysis- Fundal-Height Mesaurement? An Exploratory Prospective Cohort Study in Spain

  • Candel R V
  • Sanchez E C
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Objective: The construction of a predictive model that improves the estimation of the fetal weight (EFW). Study Design: a comparative, descriptive study. One hundred forty pregnant women were recruited at two-stage sample in health department in Spain. They were classified in four groups depending on the pre-gestational BMI. Fetal weight was estimated by ultrasound at 35-40 weeks (EFW40w) by one gynecologist. A regression model was created with the variables that reacted to the newborn´s weight, symphysis-fundal height (SFH), EFW40w, gestational age (GA), ferritin level and cigarettes smoked. Results: A multivariate model was created for the NW group to estimate the fetal weight (EFWme), resulting in R2=0.727 (p<0.001). The differences of the averages obtained between EFW40w and EFWme, with the newborn´s weight were significant (p<0.001). EFWme underestimates birth weight by 0.07 g (mean error 0.53%), and EFW40w overestimates it by 300.89 g (mean error 10.12%). In order to evaluate the predictive model and verify the predictions we used the Bland-Altman analysis. The average error in estimating the birth weight with EFWme was 1.94% underestimating the result, whereas the ultrasound error overestimated the result 10.93%. Conclusion: The multivariate model created for the NW group improves the accuracy of the ultrasound.

Cite

CITATION STYLE

APA

Candel R, V., & Sanchez E, C. (2015). Can We Improve the Birth Weight Prediction Using the Symphysis- Fundal-Height Mesaurement? An Exploratory Prospective Cohort Study in Spain. Journal of Clinical Case Reports, 5(2). https://doi.org/10.4172/2165-7920.1000491

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free