Aim: We evaluated whether sample entropy of heart rate time series could serve as a biomarker for guiding caffeine cessation in preterm infants treated for apnoea of prematurity (AOP). We also assessed associations of sample entropy with weeks of gestation, clinical morbidity, AOP frequency and caffeine reinitiation.
Methods: We conducted a prospective single-centre study at the University Children's Hospital Basel, Switzerland, from July 2019 to June 2020.
Background: Little is known about the mediating role of nasal microbiome on the association between pre- and postnatal air pollution exposure and subsequent respiratory morbidity in infancy. We aimed to examine the impact of air pollution on microbiome and respiratory symptoms, and whether microbiome mediates the association between air pollution and symptoms.
Methods: Nasal swabs from 270 infants in the prospective Basel-Bern Infant Lung Development cohort were analyzed by 16S ribosomal RNA gene sequencing.
Background: The respiratory microbiota influences infant immune system maturation. Little is known about how perinatal, physiological, and environmental exposures impact the nasal microbiota in preterm infants after discharge, or nasal microbiota differences between preterm and healthy full-term infants.
Methods: Nasal swabs (from 136 preterm and 299 full-term infants at mean postmenstrual age of 45 weeks from the prospective Basel-Bern Infant Lung Development cohort) were analyzed by 16S-rRNA gene amplification and sequencing (Illumina MiSeq).
Background: This multicentre, international, retrospective study aimed to investigate whether respiratory system reactance ( ) assessed by respiratory oscillometry on day 7 of life is associated with respiratory outcomes in preterm infants below 32 weeks gestational age (GA).
Methods: Sinusoidal pressure oscillations (2-5 cmHO peak-to-peak, 10 Hz) were superimposed on the positive end-expiratory pressure. We assessed the association of z-score with the duration of respiratory support using linear regression and with bronchopulmonary dysplasia (BPD) using logistic regression.