The Relevance of Fetal Abdominal Subcutaneous Tissue Recording in Predicting Perinatal Outcome of GDM Pregnancies: A Retrospective Study.
Friederike WeschenfelderNadin BaumThomas LehmannEkkehard SchleußnerTanja GrotenPublished in: Journal of clinical medicine (2020)
Guidelines on the management of gestational diabetes (GDM) instruct physicians to involve ultrasound-based monitoring of fetal growth in addition to blood glucose. So far, glucose control besides clinical parameters like maternal body mass index (BMI) and gestational weight gain have been shown to predict neonatal outcome. We aimed to evaluate the discriminative ability of fetal abdominal subcutaneous tissue (FAST) in addition to standard ultrasound parameters like abdominal circumference (AC) and estimated fetal weight (EFW) for perinatal complications like large for gestational age (LGA), hypoglycemia, hyperbilirubinemia, mode of delivery and admission to neonatal intensive care unit (NICU). Ultrasound data and neonatal outcome was collected of 805 GDM cases from 2012 to 2016: 3205 FAST, 3195 AC-measurements and 3190 EFW calculations were included. AC, EFW and FAST increased linear with gestational age. Combining ultrasound and clinical parameters improved predictive power for LGA. In the subgroup where fetuses grow with an AC > 75th additional adding of FAST to standard ultrasound parameters increased predictive power for hypoglycemia. Our results confirm inclusion of ultrasound parameters to be beneficial in monitoring GDM pregnancies. Additional FAST determination revealed to be of potential clinical relevance in the subgroup AC > 75th percentile.
Keyphrases
- birth weight
- gestational age
- weight gain
- body mass index
- preterm birth
- magnetic resonance imaging
- blood glucose
- pregnant women
- type diabetes
- contrast enhanced ultrasound
- pregnancy outcomes
- ultrasound guided
- primary care
- weight loss
- preterm infants
- emergency department
- glycemic control
- machine learning
- risk factors
- density functional theory
- skeletal muscle
- molecularly imprinted
- high resolution
- computed tomography
- big data
- artificial intelligence
- clinical trial
- monte carlo
- study protocol