A customised fetal growth and birthweight standard for Qatar: a population-based cohort study.
GROW
birthweight
customized growth charts
fetal growth restriction
stillbirth
Journal
Journal of perinatal medicine
ISSN: 1619-3997
Titre abrégé: J Perinat Med
Pays: Germany
ID NLM: 0361031
Informations de publication
Date de publication:
20 Aug 2024
20 Aug 2024
Historique:
received:
10
02
2024
accepted:
28
07
2024
medline:
21
8
2024
pubmed:
21
8
2024
entrez:
21
8
2024
Statut:
aheadofprint
Résumé
Customized birthweight centiles have improved the detection of small for gestational age (SGA) and large for gestational age (LGA) babies compared to existing population standards. This study used perinatal registry data to derive coefficients for developing customized growth charts for Qatar. The PEARL registry data on women delivering in Qatar (2017-2018) was used to develop a multivariable linear regression model predicting optimal birthweight. Physiological variables included gestational age, maternal height, weight, ethnicity, parity, and sex of the baby. Pathological variables such as hypertension, preexisting and gestational diabetes and smoking were calculated and excluded to derive the optimal weight at term. The regression model found a term optimal birthweight of 3,235 g for a Qatari nationality mother with median height (159 cm), booking weight (72 kg), parity (1) and gestation at birth (276 days) at the end of an uncomplicated pregnancy. Constitutional coefficients significantly affecting birthweight were gestational age, height, weight, and parity. The main pathological factors were preexisting diabetes (increase by +175.7 g) and smoking (decrease by -190.9 g). The SGA and LGA rates in the entire cohort after applying the population-specific customized centiles were 11.1 and 12.2 %, respectively (contrasting with the Hadlock standard: SGA-26.3 % and LGA-1.8 %, and Fenton standard: SGA-12.9 % and LGA-4.0 %). Constitutional and pathological variations in fetal growth and birthweight apply in the maternity population in Qatar and have been quantified to allow the generation of customised charts for better identification of pregnancies with abnormal growth. Currently in-use population standards may misdiagnose many SGA and LGA babies.
Identifiants
pubmed: 39167534
pii: jpm-2024-0060
doi: 10.1515/jpm-2024-0060
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024 the author(s), published by De Gruyter, Berlin/Boston.
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