Outcomes of Extremely Preterm Infants Exposed to Prolonged Prelabor Rupture of Membranes before 24 Weeks of Gestation.

Background: Preterm prelabor rupture of membranes (PPROM) before or around the limit of fetal viability is associated with serious maternal and neonatal complications including chorioamnionitis, extremely preterm birth, and pulmonary hypoplasia.

Objectives: To describe contemporary outcomes of extremely preterm infants born after prolonged periviable PPROM, and to identify perinatal factors associated with survival and survival without severe neurodevelopmental impairment (NDI).

Study Design: Among actively treated infants born alive at <27 weeks' gestational age (GA) in centers of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network from 2012 to 2018, the outcomes of survival and survival without severe NDI at 22-26 months' corrected age were compared between infants exposed to prolonged (≥120 hours) periviable (<24 weeks' GA) PPROM and unexposed infants born after rupture of membranes ≤18 hours before delivery or at delivery, adjusting for birth GA, sex, multiple gestation, antenatal steroids, small for gestational age (SGA), insurance, and center.

Active Components in Internet-Based Cognitive-Behavioral Therapy for Social Anxiety Disorder: A Randomized Full Factorial Trial.

Introduction: Many studies have demonstrated that social anxiety disorder (SAD) can be effectively treated with psychotherapy, particularly cognitive-behavioral therapy (CBT), including internet-based CBT (ICBT). Despite evidence-based treatments, many individuals do not sufficiently benefit from them. Identifying the active components could help improve the effectiveness of SAD treatment.

Mortality After Pediatric Cardiac Surgery in Patients From Disadvantaged Neighborhoods.

Background: Disadvantaged socioeconomic status correlates with adverse outcomes for patients with congenital heart disease. We examined individual and neighborhood characteristics associated with adverse short-term surgical outcomes and investigated potential drivers of disparities.

Methods: Single-center retrospective analysis collected clinical and demographic information on cardiovascular surgery patients over a 15-year period (2007-2022) from the District of Columbia metropolitan area.

The Omics-Driven Machine Learning Path to Cost-Effective Precision Medicine in Chronic Kidney Disease.

Chronic kidney disease (CKD) poses a significant and growing global health challenge, making early detection and slowing disease progression essential for improving patient outcomes. Traditional diagnostic methods such as glomerular filtration rate and proteinuria are insufficient to capture the complexity of CKD. In contrast, omics technologies have shed light on the molecular mechanisms of CKD, helping to identify biomarkers for disease assessment and management.

Simulation of the biocide distribution in soil using PELMO coupled with COMLEAM.

Biocides, applied in building materials as antimicrobial protectants, can be leached out by rain, presenting substantial environmental risks as confirmed by studies on aquatic environments. However, these biocides are consistently released throughout the year in a diluted form, posing unique challenges for the prediction of transport, transformation, and ecotoxicity assessment in soil. To address this challenge, we combined COMLEAM, which predicts leaching from facades into the soil, with the FOCUS PELMO pesticide model to predict biocide distribution in soil.