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Establishment of a personalized fetal growth curve model

BACKGROUND: Fetal weight is one of the important indicators for judging whether fetal growth and development are normal. Fetal weight exceeding the normal range may lead to poor delivery outcomes. OBJECTIVE: We aimed to establish a personalized fetal growth curve in order to effectively monitor feta...

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Autores principales: Bao, Xinyu, Wang, Yan, Zhang, Song, Yang, Lin, Liu, Guoli, Yang, Yimin, Li, Xuwen, Hao, Dongmei, Chen, Aiqing, Liu, Xiaohong, Shao, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150511/
https://www.ncbi.nlm.nih.gov/pubmed/33682767
http://dx.doi.org/10.3233/THC-218028
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author Bao, Xinyu
Wang, Yan
Zhang, Song
Yang, Lin
Liu, Guoli
Yang, Yimin
Li, Xuwen
Hao, Dongmei
Chen, Aiqing
Liu, Xiaohong
Shao, Jing
author_facet Bao, Xinyu
Wang, Yan
Zhang, Song
Yang, Lin
Liu, Guoli
Yang, Yimin
Li, Xuwen
Hao, Dongmei
Chen, Aiqing
Liu, Xiaohong
Shao, Jing
author_sort Bao, Xinyu
collection PubMed
description BACKGROUND: Fetal weight is one of the important indicators for judging whether fetal growth and development are normal. Fetal weight exceeding the normal range may lead to poor delivery outcomes. OBJECTIVE: We aimed to establish a personalized fetal growth curve in order to effectively monitor fetal growth during pregnancy. Fetal weight can be monitored while fetal growth and development are assessed. METHODS: This study retrospectively analyzed the birth weight and ultrasound database of 3,093 newborns delivered at normal term. The personalized fetal growth curve model was generated based on the birth weight formula established by Gardosi combined with the proportional weight equation. RESULTS: (1) The average birth weight of the single fetus at normal term was 3,457g. (2) According to the regression results of the proportion of fetal weight in full-term pregnancy and gestational week, the proportional weight equation is Weight% [Formula: see text] 500.9 [Formula: see text] 51.60GA [Formula: see text] 1.727GA [Formula: see text] [Formula: see text] 0.01718GA [Formula: see text] (GA is gestational week), [Formula: see text] is 98%, [Formula: see text] 0.001. CONCLUSIONS: In this study, the normal birth weight of newborns and normal range of fetal weight can be estimated by using the personalized fetal growth curve model.
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spelling pubmed-81505112021-06-09 Establishment of a personalized fetal growth curve model Bao, Xinyu Wang, Yan Zhang, Song Yang, Lin Liu, Guoli Yang, Yimin Li, Xuwen Hao, Dongmei Chen, Aiqing Liu, Xiaohong Shao, Jing Technol Health Care Research Article BACKGROUND: Fetal weight is one of the important indicators for judging whether fetal growth and development are normal. Fetal weight exceeding the normal range may lead to poor delivery outcomes. OBJECTIVE: We aimed to establish a personalized fetal growth curve in order to effectively monitor fetal growth during pregnancy. Fetal weight can be monitored while fetal growth and development are assessed. METHODS: This study retrospectively analyzed the birth weight and ultrasound database of 3,093 newborns delivered at normal term. The personalized fetal growth curve model was generated based on the birth weight formula established by Gardosi combined with the proportional weight equation. RESULTS: (1) The average birth weight of the single fetus at normal term was 3,457g. (2) According to the regression results of the proportion of fetal weight in full-term pregnancy and gestational week, the proportional weight equation is Weight% [Formula: see text] 500.9 [Formula: see text] 51.60GA [Formula: see text] 1.727GA [Formula: see text] [Formula: see text] 0.01718GA [Formula: see text] (GA is gestational week), [Formula: see text] is 98%, [Formula: see text] 0.001. CONCLUSIONS: In this study, the normal birth weight of newborns and normal range of fetal weight can be estimated by using the personalized fetal growth curve model. IOS Press 2021-03-25 /pmc/articles/PMC8150511/ /pubmed/33682767 http://dx.doi.org/10.3233/THC-218028 Text en © 2021 – The authors. Published by IOS Press. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bao, Xinyu
Wang, Yan
Zhang, Song
Yang, Lin
Liu, Guoli
Yang, Yimin
Li, Xuwen
Hao, Dongmei
Chen, Aiqing
Liu, Xiaohong
Shao, Jing
Establishment of a personalized fetal growth curve model
title Establishment of a personalized fetal growth curve model
title_full Establishment of a personalized fetal growth curve model
title_fullStr Establishment of a personalized fetal growth curve model
title_full_unstemmed Establishment of a personalized fetal growth curve model
title_short Establishment of a personalized fetal growth curve model
title_sort establishment of a personalized fetal growth curve model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150511/
https://www.ncbi.nlm.nih.gov/pubmed/33682767
http://dx.doi.org/10.3233/THC-218028
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