Download full-text PDF

Source

Publication Analysis

Top Keywords

[neonatal center
4
center angers
4
angers obstetrical
4
obstetrical gynecologic
4
gynecologic clinic
4
clinic obstetrico-pediatric
4
obstetrico-pediatric organization
4
organization maternity
4
maternity hospital]
4
[neonatal
1

Similar Publications

Background: One of the best ways to impart important skills to trainees is through simulation-based training, which is more reliable than the conventional clinical examination method. It is used in pediatric nursing training to allow nurses to practice and improve their clinical and conversational skills during an actual child encounter. A heel-prick is a complex psychomotor task that requires skill and knowledge from the pediatric nurse performing the procedure while applying for the National Newborn Screening Program.

View Article and Find Full Text PDF

Background & Aim: Metabolic and cardiovascular health outcomes are strongly influenced by diet. Dietary habits established in early childhood may persist into adulthood. This study aimed to examine the association between dietary patterns at both 2 and 8 years of age, explaining the maximum variability of high- and low-quality fats, sugars, and fibre, and cardiometabolic markers at age 8 years.

View Article and Find Full Text PDF

Background: Modeling studies suggest that hundreds of thousands of U.S. children have lost caregivers since the COVID-19 pandemic began.

View Article and Find Full Text PDF

Background: Preterm infants may experience many health and developmental issues, which continue even after discharge from the neonatal intensive care unit. Once home, the mother, as a non-professional and the primary caregiver will be responsible for the essential care of her preterm infant.

Purpose: Understanding the take care ability in mothers with preterm infants.

View Article and Find Full Text PDF

Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.

Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!