ArticleNutrients2021
The Role of Maternal Weight in the Hierarchy of Macrosomia Predictors; Overall Effect of Analysis of Three Prediction Indicators.
Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 17 citations in OpenAlex.
- Machine Learning-Based Prediction of Fetal Macrosomia Using Maternal: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Correlation of low birth weight with infertility and ART treatment: single-center cohort analysis of 7697 singleton live births.BMC pregnancy and childbirth · 2026Article
- Joint impact of prenatal polycyclic aromatic hydrocarbons, anxiety and depression exposure on birth outcomes across pre-pregnancy BMI categories.Journal of exposure science & environmental epidemiology · 2026Article
- Prevalence and determinants of macrosomia in low- and middle-income countries: a multilevel analysis of population survey data from 44 nations.Maternal health, neonatology and perinatology · 2025Article
- Vitamin D Deficiency and Maternal Diseases as Risk Factors for the Development of Macrosomia in Newborns.Children (Basel, Switzerland) · 2024Article
- Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus.World journal of diabetes · 2024Article
- Association of maternal insulin resistance with neonatal insulin resistance and body composition/size: a prospective cohort study in a sub-Saharan African population.Annals of pediatric endocrinology & metabolism · 2024Article
- Maternal Height Is an Independent Risk of Adverse Outcomes in Women with Gestational Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024Article
- Impact of anthro-metabolic indices and gestational weight gain on maternal and neonatal outcomes: a prospective observational study.Revista da Associacao Medica Brasileira (1992) · 2024Observational
- Advances in the study of the correlation between insulin resistance and infertility.Frontiers in endocrinology · 2024Review
- Prevalence and risk factors of gestational diabetes in the health region of Lleida: a retrospective observational cohort study.Journal of endocrinological investigation · 2023Observational
- Insulin Resistance is a Risk Factor for Early Miscarriage and Macrosomia in Patients With Polycystic Ovary Syndrome From the First Embryo Transfer Cycle: A Retrospective Cohort Study.Frontiers in endocrinology · 2022Observational
- Maternal Obesity and Risk of Low Birth Weight, Fetal Growth Restriction, and Macrosomia: Multiple Analyses.Nutrients · 2021Article
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1 author at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
So far it has not been established which maternal features play the most important role in newborn macrosomia. The aim of this study is to provide assessment of a hierarchy of twenty six (26) maternal characteristics in macrosomia prediction. A Polish prospective cohort of women with singleton pregnancy (N = 912) which was recruited in the years 2015-2016 has been studied. Two analyses were performed: for probability of macrosomia >4000 g (n = 97) (vs. 755 newborns 2500-4000 g); and for birthweight >90th percentile (n = 99) (vs. 741 newborns 10-90th percentile). A multiple logistic regression was used (with 95% confidence intervals (CI)). A hierarchy of significance of potential predictors was established after summing up of three prediction indicators (NRI, IDI and AUC) calculated for the basic prediction model (maternal age + parity) extended with one (test) predictor. 'Net reclassification improvement' (NRI) focuses on the reclassification table describing the number of women in whom an upward or downward shift in the disease probability value occurred after a new factor had been added, including the results for healthy and ill women. 'Integrated discrimination improvement' (IDI) shows the difference between the value of mean change in predicted probability between the group of ill and healthy women when a new factor is added to the model. The area under curve (AUC) is a commonly used indicator. Results. The macrosomia risk was the highest for prior macrosomia (AOR = 7.53, 95%CI: 3.15-18.00),
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