Individualized Norms of Optimal Fetal Growth

Bukowski, Radek; Uchida, Tatsuo; Smith, Gordon C. S.; Malone, Fergal D.; Ball, Robert H.; Nyberg, David A.; Comstock, Christine H.; Hankins, Gary D.V.; Berkowitz, Richard L.; Gross, Susan J.; Dugoff, Lorraine; Craigo, Sabrina; Timor, Ilan; Carr, Stephen R.; Wolfe, Honor M.; D’Alton, Mary E.

doi:10.1097/aog.0b013e3181704e48

Cited by 108 publications

(37 citation statements)

References 41 publications

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“…Specific ranges of these characteristics are also associated with birth weight among uncomplicated live birth pregnancies and are accounted for by using individualized birth weight norms [15]. Thus, to accurately assess fetal growth and identify fetal growth abnormalities, an accurate estimate of GA and accounting for the effect of physiologic determinants of fetal growth are needed.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, many characteristics that affect the growth of live and normal pregnancies, such as maternal race/ethnicity, body mass index (BMI), and parity, are also associated with the risk of stillbirth. The effect of these characteristics on fetal growth and risk of stillbirth is complex, because within a certain range their effect on fetal growth is observed among normal live pregnancies without complications [15].…”

Section: Introductionmentioning

confidence: 99%

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Fetal Growth and Risk of Stillbirth: A Population-Based Case–Control Study

et al. 2014

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fetal Growth and Risk of Stillbirth: A Population-Based Case–Control Study

et al. 2014

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“…Customized birth weight standards have been proposed as an alternative method to the traditional population-based charts [9,18,19,20,21,22]. Numerous studies have concluded that the use of customized birth weight standards adjusted for maternal and neonatal characteristics improves the ability of traditional population-based percentiles to detect fetuses and newborns at risk for adverse outcomes such as stillbirth, neonatal death, and low Apgar score.…”

Section: Discussionmentioning

confidence: 99%

Customized versus Population-Based Birth Weight References for Predicting Fetal and Neonatal Undernutrition

et al. 2015

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Objectives: The aim of our study was to construct a model of customized birth weight curves based on a Spanish population and to compare the ability of this customized model to our population-based chart to predict a neonatal ponderal index (PI) <10th percentile. Methods: We developed a model that can predict the 10th percentile for a fetus according to gestational age and gender as well as maternal weight, height, and age. We compared the ability of this customized model to that of our own population-based model to predict a neonatal PI <10th percentile. Data from a large database were used (32,854 live newborns, from 1993 through 2012). Only singleton pregnancies with a gestational age at delivery of 32-42 weeks were included. Results: In the entire pregnant population, the customized method was superior to the population-based method for detecting newborns with a PI <10th percentile (sensitivity: 55 vs. 40.96%; specificity: 99.6 vs. 91.23%; positive predictive value: 11.49 vs. 9.55%, and negative predictive value: 98.84 vs. 98.55%, respectively). In pregnant women with a BMI >90th percentile, the sensitivity was 75%, compared to 50% in the population-based method. In pregnant women with a height >90th percentile, the sensitivity was almost as high as in the population-based method (61.53 vs. 33.33%). Conclusion: The customized birth weight curve is superior to the population-based method for the detection of newborns with a PI <10th percentile. This is especially the case in women in the higher scales of height and weight as well as in preterm babies.

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“…Birth weight has important correlations with later-life outcomes 1–3. In the past 20 years, interest in the potential health risks associated with high birth weight (HBW, >4 kg) have increased 4.…”

Section: Introductionmentioning

confidence: 99%

Associations of neonatal high birth weight with maternal pre-pregnancy body mass index and gestational weight gain: a case–control study in women from Chongqing, China

et al. 2016

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ObjectivesTo examine the associations of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) with neonatal high birth weight (HBW) in a sample of Chinese women living in southwest China.MethodsA hospital-based case–control study was conducted in Chongqing, China. A total of 221 mothers who delivered HBW babies (>4.0 kg) were recruited as cases and 221 age-matched (2-year interval) mothers with normal birth weight babies (2.5–4.0 kg) were identified as controls. ORs were estimated using conditional logistic regression analysis. For the analysis, pre-pregnancy BMI was categorised as underweight/normal weight/overweight and obesity and GWG was categorised as inadequate/appropriate/excessive.ResultsAmong the cases, mean pre-pregnancy BMI was 21.8±2.8 kg/m2, mean GWG was 19.7±5.1 kg and mean neonatal birth weight was 4.2±0.2 kg. In the controls, the corresponding values were 21.1±3.1 kg/m2, 16.4±5.0 kg and 3.3±0.4 kg, respectively. More cases than controls gained excessive weight during pregnancy (80.1% vs 48.4%, p<0.001). No significant association was found between pre-pregnancy BMI and HBW babies (OR=1.04, 95% CI 0.97 to 1.11; p>0.05). GWG was positively related to HBW after adjustment for gravidity, gestational age, newborns' gender and family income (OR=1.18, 95% CI 1.12 to 1.25; p<0.001). The adjusted OR of delivering HBW babies was 5.39 (95% CI 2.94 to 9.89; p<0.001) for excessive GWG versus appropriate GWG. This OR was strengthened among pre-pregnancy normal weight women (OR=10.27, 95% CI 3.20 to 32.95; p<0.001).ConclusionsOverall, the findings suggest a significantly positive association between GWG and HBW. However, pre-pregnancy BMI shows no independent relationship with HBW.

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Individualized Norms of Optimal Fetal Growth

Abstract: II.

Cited by 108 publications

References 41 publications

Fetal Growth and Risk of Stillbirth: A Population-Based Case–Control Study

Fetal Growth and Risk of Stillbirth: A Population-Based Case–Control Study

Customized versus Population-Based Birth Weight References for Predicting Fetal and Neonatal Undernutrition

Associations of neonatal high birth weight with maternal pre-pregnancy body mass index and gestational weight gain: a case–control study in women from Chongqing, China

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