The gold standard for detecting the presence of apneic events is a time and effort-consuming manual evaluation of type I polysomnographic recordings by experts, often not error-free. Such acquisition protocol requires dedicated facilities resulting in high costs and long waiting lists. The usage of artificial intelligence models assists the clinician's evaluation overcoming the aforementioned limitations and increasing healthcare quality.
View Article and Find Full Text PDFObjective: To estimate the association between the mode of respiratory support administered at 36 weeks' post-menstrual age (PMA) with time-to-liberation from respiratory support (LRS) in infants with grade 2/3 bronchopulmonary dysplasia (BPD).
Study Design: Daily respiratory support data were abstracted for infants born <32 weeks' gestation with grade 2/3 BPD enrolled in the Children's Hospitals Neonatal Database between 2017 and 2022. The main exposure was the mode of respiratory support received at 36 weeks' PMA: high flow nasal cannula >2 L/min (HFNC), continuous positive airway pressure (CPAP), non-invasive positive pressure ventilation (NIPPV), or mechanical ventilation (MV).
Objective: To evaluate associations between neonatal risk factors and pulmonary vein stenosis (PVS) among infants born preterm with severe bronchopulmonary dysplasia (sBPD).
Study Design: We performed a case-control study of infants born from 2010 to 2022 at <32 weeks' gestation with sBPD among 46 neonatal intensive care units in the Children's Hospitals Neonatal Consortium. Cases with PVS were matched to controls using epoch of diagnosis (2010-2016; 2017-2022) and hospital.