Henrik Verder, Christian Heiring, Rangasamy Ramanathan, Nikolaos Scoutaris, Povl Verder, Torben E Jessen, Agnar Höskuldsson, Lars Bender, Marianne Dahl, Christian Eschen, Jesper Fenger-Grøn, Jes Reinholdt, Heidi Smedegaard, Peter Schousboe
AIM: To develop a fast bedside test for prediction and early targeted intervention of bronchopulmonary dysplasia (BPD) to improve the outcome. METHODS: In a multicentre study of preterm infants with gestational age 24-31 weeks, clinical data present at birth were combined with spectral data of gastric aspirate samples taken at birth and analysed using artificial intelligence. The study was designed to develop an algorithm to predict development of BPD. The BPD definition used was the consensus definition of the US National Institutes of Health: Requirement of supplemental oxygen for at least 28 days with subsequent assessment at 36 weeks postmenstrual age...
February 2021: Acta Paediatrica