Fetal growth prediction: Establishing fetal growth prediction curves in the second trimester.
Fetal weight
growth charts
personal health services
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
2021
Historique:
pubmed:
9
3
2021
medline:
18
9
2021
entrez:
8
3
2021
Statut:
ppublish
Résumé
Monitoring fetal weight during pregnancy has a guiding role in prenatal care. To establish a personalized fetal growth curve for effectively monitoring fetal growth during pregnancy. (1) This study retrospectively analyzed the birth weight database of 2,474 singleton newborns delivered normally at term. The personalized fetal growth curve model was formed by combining the estimating birth weight of newborns with the proportional weight formula. (2) Multiple linear stepwise regression method was used to estimate the birth weight of newborns. (1) Delivery gestational age, weight at first visit, maternal height, pre-pregnancy body mass index, fetal sex, parity had significant effects on birth weight. Based on these parameters, the formula for calculating term optimal weight was obtained (R2= 22.8%, P< 0.001). (2) The personalized fetal growth curve was obtained according to the epidemiological factors input model of each pregnant woman. A model of personalized fetal growth curve can be established, and be used to evaluate fetal growth and development through estimated fetal weight monitoring.
Sections du résumé
BACKGROUND
BACKGROUND
Monitoring fetal weight during pregnancy has a guiding role in prenatal care.
OBJECTIVE
OBJECTIVE
To establish a personalized fetal growth curve for effectively monitoring fetal growth during pregnancy.
METHODS
METHODS
(1) This study retrospectively analyzed the birth weight database of 2,474 singleton newborns delivered normally at term. The personalized fetal growth curve model was formed by combining the estimating birth weight of newborns with the proportional weight formula. (2) Multiple linear stepwise regression method was used to estimate the birth weight of newborns.
RESULTS
RESULTS
(1) Delivery gestational age, weight at first visit, maternal height, pre-pregnancy body mass index, fetal sex, parity had significant effects on birth weight. Based on these parameters, the formula for calculating term optimal weight was obtained (R2= 22.8%, P< 0.001). (2) The personalized fetal growth curve was obtained according to the epidemiological factors input model of each pregnant woman.
CONCLUSIONS
CONCLUSIONS
A model of personalized fetal growth curve can be established, and be used to evaluate fetal growth and development through estimated fetal weight monitoring.
Identifiants
pubmed: 33682771
pii: THC218032
doi: 10.3233/THC-218032
pmc: PMC8150552
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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