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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2021
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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. |
format | Online Article Text |
id | pubmed-8150511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
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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