Delivering a newborn with macrosomia (weighing more than 8 pounds, 13 ounces at birth) may be associated with higher risk of adverse outcomes, including perinatal death and injuries related to traumatic delivery, such as stuck shoulders (shoulder dystocia). A study in PLOS Medicine by Gordon Smith at the University of Cambridge and colleagues suggests that third trimester fetal ultrasound screening has the ability to identify more pregnancies with macrosomia.
The diagnostic effectiveness of ultrasound screening in predicting the delivery of a macrosomic infant, shoulder dystocia and associated neonatal morbidity is not well established. To better understand the relationship between estimated fetal weight (EFW), macrosomia, and perinatal complications, researchers systematically reviewed the literature from four different clinical databases. The authors then analyzed 41 studies involving 112,034 non-high risk patients who had undergone a third trimester ultrasound screening as part of universal screening.
The authors found that a third trimester ultrasonic EFW
Expanding routine newborn screening to include a metabolic vulnerability profile could lead to earlier detection of life-threatening complications in babies born preterm, according to a study by UC San Francisco researchers. The new method, which was developed at UCSF, offers valuable and time-sensitive insights into which infants are at greatest risk during their most vulnerable time, immediately after birth.
The study, published in Nature Pediatric Research by scientists at the UCSF California Preterm Birth Initiative (PTBI-CA), assessed the records of 9,639 preterm infants who experienced mortality or at least one complication or mortality.
Using the results of standard newborn profiles and blood tests, they identified a combination of six newborn characteristics and 19 metabolites that, together, created a vulnerability profile that reliably identified preterm babies at substantially increased risk for death and severe illness.
“Our results point to a number of potential biological pathways that may play a key role