Establishment of a personalized fetal growth curve model.


Journal

Technology and health care : official journal of the European Society for Engineering and Medicine
ISSN: 1878-7401
Titre abrégé: Technol Health Care
Pays: Netherlands
ID NLM: 9314590

Informations de publication

Date de publication:
2021
Historique:
pubmed: 9 3 2021
medline: 18 9 2021
entrez: 8 3 2021
Statut: ppublish

Résumé

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. 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. 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. (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% = 500.9 - 51.60GA + 1.727GA2- 0.01718GA3 (GA is gestational week), R2 is 98%, P< 0.001. 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.

Sections du résumé

BACKGROUND 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 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 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 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% = 500.9 - 51.60GA + 1.727GA2- 0.01718GA3 (GA is gestational week), R2 is 98%, P< 0.001.
CONCLUSIONS 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.

Identifiants

pubmed: 33682767
pii: THC218028
doi: 10.3233/THC-218028
pmc: PMC8150511
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

311-317

Références

Radiology. 1991 Oct;181(1):129-33
pubmed: 1887021
Am J Obstet Gynecol. 2016 Apr;214(4):509.e1-509.e7
pubmed: 26546850
Am J Obstet Gynecol. 2021 Mar;224(3):292.e1-292.e19
pubmed: 32835717
Am J Obstet Gynecol. 2015 Oct;213(4):449.e1-449.e41
pubmed: 26410205
Lancet. 2014 Sep 6;384(9946):857-68
pubmed: 25209487
Ultrasound Obstet Gynecol. 2007 May;29(5):550-5
pubmed: 17444561
Ultrasound Obstet Gynecol. 1995 Sep;6(3):168-74
pubmed: 8521065
Am J Obstet Gynecol. 2018 Feb;218(2S):S738-S744
pubmed: 29199029
Am J Obstet Gynecol. 2018 Feb;218(2S):S630-S640
pubmed: 29422205
Ultrasound Obstet Gynecol. 2018 Jun;51(6):792-798
pubmed: 28452092
Ultrasound Obstet Gynecol. 2017 Apr;49(4):478-486
pubmed: 27804212
Am J Obstet Gynecol. 2018 Feb;218(2S):S679-S691.e4
pubmed: 29422207

Auteurs

Xinyu Bao (X)

Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China.

Yan Wang (Y)

Peking University People's Hospital, Beijing 100044, China.

Song Zhang (S)

Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China.

Lin Yang (L)

Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China.

Guoli Liu (G)

Peking University People's Hospital, Beijing 100044, China.

Yimin Yang (Y)

Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China.

Xuwen Li (X)

Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China.

Dongmei Hao (D)

Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China.

Aiqing Chen (A)

Beijing Yes Medical Devices Co. Ltd., Beijing 100152, China.

Xiaohong Liu (X)

Beijing Yes Medical Devices Co. Ltd., Beijing 100152, China.

Jing Shao (J)

Beijing Yes Medical Devices Co. Ltd., Beijing 100152, China.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH