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Retrospective cohort study finds perinatal factors drive intraventricular haemorrhage in transported outborn preterm infants, highlighting the importance of early resuscitation and stabilization.
Objectives To evaluate maternal, infant and transport factors associated with intraventricular haemorrhage (IVH) in outborn preterm infants <32 weeks’ gestation in Western Australia. Design Retrospective cohort study. Setting Newborn emergency transport service of Western Australia (NETS WA). Participants Preterm infants <32 weeks’ gestation born outside the tertiary perinatal centre and transported by NETS WA between 2011 and 2021. Exclusions were congenital anomalies, transfer after day 1 of life or death before day 1 cranial ultrasound. Outcomes Outcome was any IVH detected on cranial ultrasound on day 1 and day 7 of life. Perinatal data were analysed comparing infants with and without IVH using bivariate tests and logistic regression to examine differences between these groups. Results IVH occurred in 57/286 (19.9%) on day 1 and 53/275 (19.9%) on day 7; severe IVH occurred in 25/286 (8.7%) and 27/275 (9.9%), respectively. Infants with IVH had lower gestational age and birth weight, greater exposure to intra-amniotic inflammation and less antenatal steroid exposure. In multivariable analyses, intra-amniotic inflammation was associated with increased odds of IVH on day 1 (OR 2.47, 95% CI 1.10 to 5.44). Epinephrine use during resuscitation was associated with higher odds of IVH on day 1 (OR 4.88, 95% CI 1.49 to 17.5). Inotrope use during transport was associated with IVH on day 1 (OR 7.85, 95% CI 1.35 to 54.6) and day 7 (OR 9.11, 95% CI 1.32 to 72.9). Continuous positive airway pressure during transport was associated with lower odds of IVH on day 1 (OR 0.32, 95% CI 0.10 to 0.88). Transport mode, duration and timing intervals were not associated with IVH. Conclusions In outborn preterm infants <32 weeks’ gestation, IVH risk was more strongly associated with perinatal factors than transport characteristics. Collaboration across perinatal networks should aim to support optimal management during preterm labour birth.
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Desai et al. (2026) studied this question.
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