Validation of machine-learning model for first-trimester prediction of pre-eclampsia using cohort from PREVAL study.

Objective: Effective first-trimester screening for pre-eclampsia (PE) can be achieved using a competing-risks model that combines risk factors from the maternal history with multiples of the median (MoM) values of biomarkers. A new model using artificial intelligence through machine-learning methods has been shown to achieve similar screening performance without the need for conversion of raw data of biomarkers into MoM. This study aimed to investigate whether this model can be used across populations without specific adaptations.

The impact of early versus delayed cord clamping on hematological and cardiovascular changes in preterm newborns between 24 and 34 weeks' gestation: a randomized clinical trial.

Purpose: This study aimed to   investigate hematological and cardiac changes after early (ECC) versus delayed cord clamping (DCC) in preterm infants at 24-34 weeks of gestation.

Methods: Ninety-six healthy pregnant women were assigned randomly to the ECC (< 10 s postpartum, n = 49) or DCC (45-60 s postpartum, n = 47). Primary endpoint was evaluation of neonatal hemoglobin, hematocrit and bilirrubin levels within the first 7 days after birth.

Short Femur in the Second Trimester Scan Is Related to Maternal Preeclampsia and Small for Gestational Age Newborns.

Objective: To determine the contribution of short femur diaphysis length (FDL) at 19-22 weeks of gestation in the prediction of adverse pregnancy outcomes.

Methods: The study included singleton pregnant women who underwent a routine anomaly scan at 19-22 weeks of gestation at the Virgen de la Arrixaca University Clinical Hospital (Murcia, Spain) between August 2011 and August 2012. Fetal biometry and Doppler ultrasound of uterine arteries were assessed as part of the anomaly scan, and the mean pulsatility index of both uterine arteries was recorded.

Development and validation of the Scale of Motives for Using Social Networking Sites (SMU-SNS) for adolescents and youths.

Over the past decade, the Uses and Gratifications theory has driven research on the motives behind social media use. The three most commonly explored motives have been: maintaining relationships, seeking information, and entertainment. The aim of this study was to develop and validate the Scale of Motives for Using Social Networking Sites (SMU-SNS), a measure to assess a wider range of motives for using Social Networking Sites than have previously been researched.

A Model on the Contribution of School Assets to the Achievement of Adolescents' Well-Being and Academic Performance.

The aim of this study was to examine a model on the contribution of school assets on the development of adolescent´s well-being and school success. The sample comprised 1944 adolescents (893 girls and 1051 boys) aged between 12 and 17 years (M = 14.4; SD = 1.