Customized birth weight: coefficients and validation of models in a UK population

Sahota, Daljit Singh; Kagan, Karl Oliver; Lau, Tze Kin; Leung, Tak Yeung; Nicolaides, Kypros H.

doi:10.1002/uog.5372

Cited by 28 publications

(28 citation statements)

References 24 publications

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“…Our study has demonstrated that by selecting a normal population, the median and SD of birthweight for GA and the effects of certain maternal characteristics are similar to those estimated in previous studies which combined data from normal pregnancies at term with ultrasonographically derived fetal growth charts [1,2,3]. …”

Section: Discussionsupporting

confidence: 77%

“…The association between these maternal and pregnancy conditions with abnormal fetal growth is well described [12,13,14,15], and in previous studies reporting on normal ranges these conditions have also been excluded [1,2,3]. This is particularly important for early gestations because a high proportion of pregnancies resulting in preterm birth are pathological.…”

Section: Discussionmentioning

confidence: 99%

“…In defining the contribution of fetal growth restriction to stillbirth and the consequent development of strategies for prevention of this pregnancy complication, it is essential to determine normal growth with gestational age (GA). Previous studies have reported that fetal growth is affected by several maternal characteristics, including racial origin, weight, height and parity [1,2,3]. However, it is uncertain whether correction of birthweight for GA by maternal characteristics improves the proportion of stillbirths that can be classified as growth restricted.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Birthweight with Gestation and Maternal Characteristics in Live Births and Stillbirths

et al. 2012

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Objective: To establish a normal range of birthweight with gestational age (GA) at delivery and examine the contribution of maternal characteristics in defining growth restriction in stillbirths. Methods: In 69,895 normal singleton pregnancies, regression analysis was used to determine the association of birthweight with GA and maternal characteristics. The proportion of 290 stillbirths classified as small for GA depending on inclusion or exclusion of maternal characteristics was determined. Results: In normal pregnancies, there was a polynomial association between birthweight and GA. Birthweight increased with maternal weight, height and parity and was lower in Africans and South Asians than in Caucasians. Birthweight for GA was reduced in antepartum stillbirths (n = 243; p < 0.0001) but not in intrapartum stillbirths (n = 47; p = 0.334). There was no significant difference in the proportion of antepartum stillbirths with birthweight below the 10th percentile when birthweight was corrected for GA only compared to correction for GA and maternal characteristics (53.1 vs. 54.3%). The birthweight was below the 10th percentile in 71.8% of antepartum stillbirths at <32 weeks’ gestation, in 47.2% at 33–36 weeks and in 31.5% at ≥37 weeks. Conclusion: Correction of birthweight for maternal characteristics does not alter the proportion of stillbirths that are small for GA.

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Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Birthweight with Gestation and Maternal Characteristics in Live Births and Stillbirths

et al. 2012

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“…8,12,20 However, large population-derived coefficients have previously demonstrated that birth weight is similarly influenced by maternal ethnicity, age, parity, BMI, gestational age and fetal gender, with females weighing, on average, 120-200 grams less than male infants. 30 For the study reported herein, subjects were matched in a nested cohort design by virtue of maternal age (±1 year), race/ethnicity, BMI and gestational age (±1 week), but without regard to infant outcome, including birth weight and gender. Thus, it remained a formal possibility that unmatched potential confounders of birth weight (i.e., fetal gender) could similarly be in association with an altered placental methylome and be misattributed to an effect of smoking.…”

Section: Resultsmentioning

confidence: 99%

“…This was needed because, although maternal smoking is associated with a significant decrease in fetal birth weight and renders risk of SGA birth across maternal strata, 8,12,20,28 large population-derived studies have also shown that female infants weigh on-average 120 to 200 grams less than males. 30 After Bonferroni correction, the variation of methylation level at 6 CpG sites in female newborn samples could be explained by smoking status to infant weight interactions, revealing that as few as 6 essential sites in the placental methylome are modified in association with maternal smoking to significantly influence birth weight. Others 29 have similarly employed integrated computational and multivariate analysis approaches.…”

Section: Methodsmentioning

confidence: 99%

425: Maternal tobacco use modestly alters correlated epigenome wide placental DNA methylation and gene expression

Suter

Abramovici

Patterson

et al. 2011

American Journal of Obstetrics and Gynecology

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Biomarkers in the prediction of complications in pregnancy after assisted reproductive technology

Nguyen‐Hoang,

Chaemsaithong,

et al. 2024

Intl J Gynecology & Obste

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ObjectivesTo compare the temporal changes in mean arterial pressure (MAP), uterine artery pulsatility index (UtA‐PI), placental growth factor (PlGF), and soluble fms‐like tyrosine kinase‐1 (sFlt‐1) across gestation between assisted reproductive technology (ART) pregnancies complicated with great obstetrical syndromes (GOS) or gestational diabetes (GDM) ± large‐for‐gestational‐age (LGA) fetus, and uncomplicated ART pregnancies.MethodsThis was a prospective longitudinal study of 143 women with singleton pregnancies who conceived through ART at the Department of Obstetrics and Gynecology, Prince of Wales Hospital, the Chinese University of Hong Kong, Hong Kong SAR between December 2017 and January 2020. The participants were followed up at 6–6+3, 11–13+6, 20–24+6, 30–34+6, and 35–37+6 weeks for the measurement of MAP, UtA‐PI, PlGF, and sFlt‐1. A linear mixed‐effects analysis was performed to compare the biomarkers in the GOS, GDM ± LGA, and uncomplicated groups across gestation.ResultsThirty‐three (23.1%) and fifty‐five (31.5%) women were diagnosed with GOS and GDM ± LGA, respectively. The GOS group had higher estimated marginal mean log10 MAP mulitples of the median (MoM) across gestation, compared with the uncomplicated group (0.00771 vs −0.02022; P < 0.001), when adjusting for clinical visits and days of embryo transfer. The absolute mean log10 MAP MoM in the GOS group was found to be significantly higher than that of the uncomplicated group at all clinical visits from 6 weeks onwards. Furthermore, the estimated marginal mean log10 PlGF MoM was significantly lower in the GOS group across gestation, compared with the uncomplicated group (−0.04226 vs 0.05566; P = 0.010). The significant difference in log10 PlGF MoM was observed from 11–13+6 to 30–34+6 week of gestation (P < 0.05). However, no significant differences in the estimated marginal means of log10 UtA‐PI MoM and log10 sFlt‐1 MoM between GOS and uncomplicated groups were observed. GDM ± LGA group had a lower estimated marginal mean log10 PlGF MoM throughout pregnancy compared with the uncomplicated group (−0.01536 vs 0.05572; P = 0.032). In the individual visit analysis, the significant difference was observed at the 20–24+6 and 35–37+6 weeks visits (P < 0.05). There were no significant differences in estimated marginal mean log10 MoM of MAP, UtA‐PI, and sFlt‐1 between GDM ± LGA and uncomplicated groups during pregnancy.ConclusionOur study has revealed that among pregnancies conceived through ART, GOS is associated with higher MAP and lower PlGF from early gestation until late third trimester, while GDM ± LGA is associated with lower PlGF during the second half of pregnancy. The same degree of differences in MAP and PlGF persists from early until late gestation in the GOS group and these findings highlight the importance of early screening during the first trimester to identify women who are at risk for developing GOS following ART procedures. Lastly, the potential of PlGF in predicting the development of GDM from the second trimester of pregnancy requires further investigation.

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Customized birth weight: coefficients and validation of models in a UK population

Abstract: ABSTRACT

Cited by 28 publications

References 24 publications

Birthweight with Gestation and Maternal Characteristics in Live Births and Stillbirths

Birthweight with Gestation and Maternal Characteristics in Live Births and Stillbirths

425: Maternal tobacco use modestly alters correlated epigenome wide placental DNA methylation and gene expression

Biomarkers in the prediction of complications in pregnancy after assisted reproductive technology

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