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Determinants of declining lung function trajectories from childhood to adulthood after preterm birth

Preterm birth is associated with lifelong respiratory sequelae, yet our understanding of lung function trajectories across the lifespan remains limited. We aimed to identify patterns of spirometry development from childhood to early adulthood in survivors of very preterm birth using novel data-driven methods.

A primary cell model of the very preterm epithelium reveals barrier defects at 1 year of age

Limited evidence suggests that airway epithelial structure and function is disrupted in very preterm infants; however, the epithelial morphology and physiology has not been well characterised following discharge from neonatal intensive care. This study aimed to characterise the nasal airway epithelium from 1-year-old survivors of very preterm birth.

Comparing The Physiological Responses To Cycle And Treadmill Exercise Between Preterm-born And Term-born Adults

People born preterm (<37 weeks’ gestation) have lower peak oxygen consumption (peak VO2), a well-established indicator of long-term health outcomes, compared to term-born peers. However, responses to exercise can vary with exercise mode, which has implications for prognostic assessments. 

Prognostic Accuracy of BPD Definitions for Long-Term Outcomes in Preterm Infants: A Systematic Review

Since the first description of bronchopulmonary dysplasia (BPD), multiple definitions to diagnose BPD and its grading have been published. Several studies have compared the predictive performance of these definitions for long-term outcomes. The objective was to identify the BPD definition with the optimal predictive performance for long-term respiratory and neurological outcomes in preterm infants.

Outcomes of Preterm Infants Born at 22 to 23 Weeks' Gestation in 11 International Neonatal Networks

Postnatal intensive care for preterm infants born at 22 to 23 weeks' gestation is increasing, although survival rates remain low. Information on outcomes for multiple countries or regions can be important for research, benchmarking, quality improvement, and parental counseling.

General Movement Optimality Score-Revised (GMOS-R) with General Population-Based Percentile Ranks

To describe writhing General Movements Assessment (GMA) classification and General Movement Optimality Score-Revised (GMOS-R) profiles in the general population; to explore relationships between GMOS-R scores and GMA classification, age of assessment and infant socio-demographic factors; and to establish the inter-rater reproducibility of writhing age GMA classification and GMOS-R.

The ventilatory response to hypoxia is blunted in some preterm infants during the second year of life

Preterm birth and subsequent neonatal ventilatory treatment disrupts development of the hypoxic ventilatory response (HVR). An attenuated HVR has been identified in preterm neonates, however it is unknown whether the attenuation persists into the second year of life.

Neonatal Docosahexaenoic Acid in Preterm Infants and Intelligence at 5 Years

Docosahexaenoic acid (DHA) is a component of neural tissue. Because its accretion into the brain is greatest during the final trimester of pregnancy, infants born before 29 weeks' gestation do not receive the normal supply of DHA. The effect of this deficiency on subsequent cognitive development is not well understood.

Living with lung disease: experimental models to assess the long-term effects of prematurity

Laboratory models provide an important tool in helping to understand the cellular and molecular drivers of respiratory disease. Many animal models exist that model the neonatal outcomes of preterm birth.

Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015

Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.