Article
Multidisciplinary Sciences
Teresa M. MacDonald, Alice J. Robinson, Richard J. Hiscock, Lisa Hui, Kirsten M. Dane, Anna L. Middleton, Lucy M. Kennedy, Stephen Tong, Susan P. Walker
Summary: The study found that fetuses with accelerated growth velocity between 28-36 weeks of gestation are at higher risk of shoulder dystocia, even if they are not large for gestational age. Accelerated fetal growth velocities may predict shoulder dystocia risk better than the commonly used threshold of 36-week estimated fetal weight >95th centile.
Article
Multidisciplinary Sciences
David Salcedo-Tacuma, Leonardo Bonilla, Maria Cristina Geney Montes, Jorge Ernesto Nino Gonzalez, Sandra Milena Sanchez Gutierrez, Miguel Chirivi, G. Andres Contreras
Summary: In this study, RNA-seq was used to analyze the transcriptomic profile of adipose tissues in patients with gestational diabetes. The results revealed differences based on anatomical location and provided whole-transcriptome data for further exploration of unique gene expression patterns in gestational diabetes patients.
Article
Medicine, General & Internal
Ele Hanson, Inge Ringmets, Anne Kirss, Maris Laan, Kristiina Rull
Summary: The diagnosis rate of gestational diabetes mellitus is increasing year by year, and pregnant women with GDM risk factors are at risk of increased weight gain and delivering large-for-gestational-age (LGA) newborns, even with normal OGTT results.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Medicine, General & Internal
Sudipta Sarker Mou, Clare Gillies, Jiamiao Hu, Marianna Danielli, Bassel Hamameeh Al Wattar, Kamlesh Khunti, Bee Kang Tan
Summary: Gestational diabetes mellitus (GDM) is a common metabolic disorder in pregnancy, and it is associated with maternal and fetal complications. The HbA1c level at 24-28 weeks of pregnancy may predict the development of fetal macrosomia or large for gestational age (LGA) in women with GDM. A systematic review and meta-analysis showed that women with high HbA1c values had a higher risk of giving birth to an LGA baby. Further research is needed to evaluate the utility of HbA1c levels in predicting the delivery of a baby with fetal macrosomia or LGA in pregnant women.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Endocrinology & Metabolism
Ulla Sovio, Neil Goulding, Nancy McBride, Emma Cook, Francesca Gaccioli, D. Stephen Charnock-Jones, Deborah A. Lawlor, Gordon C. S. Smith
Summary: The study found that a metabolite ratio originally developed for predicting FGR also accurately predicts LGA birth weight and is inversely associated with birth weight across the whole range.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Acoustics
M. K. Kiefer, M. M. Finneran, C. A. Ware, P. Foy, S. F. Thung, S. G. Gabbe, M. B. Landon, W. A. Grobman, K. K. Venkatesh
Summary: The FMF fetal growth chart demonstrated the best predictive performance for LGA at birth compared to the Hadlock and NICHD race/ethnicity-specific growth charts in pregnant individuals with pregestational diabetes.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
(2022)
Article
Nutrition & Dietetics
Xinli Song, Jing Shu, Senmao Zhang, Letao Chen, Jingyi Diao, Jinqi Li, Yihuan Li, Jianhui Wei, Yiping Liu, Mengting Sun, Tingting Wang, Jiabi Qin
Summary: This study reveals the impact of maternal pre-pregnancy BMI status on the risk of macrosomia and LGA through the mediation of GDM. Being overweight or obese before pregnancy increases the risk of macrosomia and LGA independently as well as partially mediated by GDM.
Article
Obstetrics & Gynecology
Lorena Suarez-Idueta, Eric O. Ohuma, Chia-Jung Chang, Elizabeth A. Hazel, Judith Yargawa, Yemisrach B. Okwaraji, Ellen Bradley, Adrienne Gordon, Jessica Sexton, Harriet L. S. Lawford, Enny S. Paixao, Ila R. Falcao, Sarka Lisonkova, Qi Wen, Petr Velebil, Jitka Jirova, Erzsebet Horvath-Puho, Henrik T. Sorensen, Luule Sakkeus, Lili Abuladze, Khalid A. Yunis, Ayah Al Bizri, Sonia Lopez Alvarez, Lisa Broeders, Aimee E. van Dijk, Fawziya Alyafei, Mai Alqubaisi, Neda Razaz, Jonas Soederling, Lucy K. Smith, Ruth J. Matthews, Estelle Lowry, Neil Rowland, Rachael Wood, Kirsten Monteath, Isabel Pereyra, Gabriella Pravia, Joy E. Lawn, Hannah Blencowe
Summary: In this study, the prevalence and neonatal mortality of large for gestational age (LGA) and macrosomia were compared among live births in 15 countries. The results showed that LGA babies had a lower risk of neonatal mortality compared to babies that were appropriate for gestational age (AGA), while macrosomia babies weighing over 4500 grams had a higher risk of mortality.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
(2023)
Article
Obstetrics & Gynecology
Yuting Zhang, Linying Chen, Lijing Zhang, Yudan Wu, Li Li
Summary: This study aimed to analyze and predict the risk of macrosomia in pregnant women with gestational diabetes mellitus. The results showed that fasting plasma glucose, gestational weight gain, ultrasound fetal weight gain, and amniotic fluid index were important predictors of macrosomia. The predictive model combining all variables had a high accuracy in predicting macrosomia.
BMC PREGNANCY AND CHILDBIRTH
(2023)
Article
Endocrinology & Metabolism
Yingying Wei, Jiahuan Peng, Han Li, Mengtian Wei, Hao Peng, Kai Wang, Yongfu Yu, Qizhi He
Summary: The study found a significant correlation between maternal fasting plasma glucose levels and birth weight as well as the risk of macrosomia in infants of mothers with gestational diabetes mellitus (GDM). Other blood glucose levels showed weaker associations with these parameters and maternal blood glucose levels did not affect placental weight.
DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY
(2022)
Article
Acoustics
Jose R. Duncan, Linda Odibo, Elizabeth A. Hoover, Anthony O. Odibo
Summary: The NICHD and FMF standards may increase the detection rate of LGA compared to the Hadlock chart. However, they are poor predictors for adverse neonatal outcomes.
JOURNAL OF ULTRASOUND IN MEDICINE
(2021)
Article
Obstetrics & Gynecology
Paige A. Bommarito, David E. Cantonwine, Danielle R. Stevens, Barrett M. Welch, Angel D. Davalos, Shanshan Zhao, Thomas F. McElrath, Kelly K. Ferguson
Summary: This study aimed to identify subgroups of large-for-gestational age births based on trajectories of fetal growth and explore differences in socio-demographic, pregnancy, and birth outcome characteristics across subgroups. The study identified four trajectories of fetal growth: catch-up growth, proportional abdominal circumference-to-femur length growth, disproportional abdominal circumference-to-femur length growth, and consistently large. Each trajectory had different characteristics and risk of adverse birth outcomes.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
(2023)
Article
Endocrinology & Metabolism
Emmanuel Cosson, Eric Vicaut, Sopio Tatulashvili, Jean -Jacques Portal, Charlotte Nachtergaele, Meriem Sal, Narimane Berkane, Sara Pinto, Amel Rezgani, Lionel Carbillon, Helene Bihana
Summary: This study aims to evaluate the risk of large-for-gestational-age (LGA) infants in women with gestational diabetes mellitus (GDM) and found no residual risk of LGA infants in women treated for GDM.
DIABETES & METABOLISM
(2022)
Article
Endocrinology & Metabolism
Milana A. Bochkur Dratver, Juliana Arenas, Tanayott Thaweethai, Chu Yu, Kaitlyn James, Emily A. Rosenberg, Michael J. Callahan, Melody Cayford, Jessica S. Tangren, Sarah N. Bernstein, Marie France Hivert, Ravi Thadhani, Camille E. Powe
Summary: In pregnant women with diabetes risk factors, fasting glucose levels decrease in the first trimester while post-load glucose levels increase later in pregnancy. These findings could help establish criteria for diagnosing hyperglycaemia early in pregnancy.
Article
Endocrinology & Metabolism
Fanny Goyette, Bi Lan Wo, Marie-Helene Iglesias, Evelyne Rey, Ariane Godbout
Summary: The glycemic thresholds used to diagnose GDM are still a topic of debate. This study compared maternal and neonatal outcomes in women with mild hyperglycemia who were treated or left untreated. The results showed that treating women with mild hyperglycemia decreased the risk of adverse outcomes.
DIABETES & METABOLISM
(2023)