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Showing results for "lung disease preterm"

Patterns of recurrent preterm birth in Western Australia: A 36-year state-wide population-based study

It is known that a previous preterm birth increases the risk of a subsequent preterm birth, but a limited number of studies have examined this beyond two consecutive pregnancies. This study aimed to assess the risk and patterns of (recurrent) preterm birth up to the fourth pregnancy.

Outcomes in extremely low birth weight (≤500 g) preterm infants: A Western Australian experience

Extremely preterm infant survival has significantly improved with advanced neonatal care; however outcomes of infants born with birth weight ≤500 g remain poor. We aimed to review outcomes of this cohort in our Institution.

Impaired Cytokine Responses to Live Staphylococcus epidermidis in Preterm Infants Precede Gram-positive, Late-onset Sepsis

Late-onset sepsis (LOS) with Staphylococcus epidermidis is common in preterm infants, but the immunological mechanisms underlying heightened susceptibility are poorly understood. Our aim is to characterize the ontogeny of cytokine responses to live S. epidermidis in preterm infants with and without subsequent Gram-positive LOS.

Bronchopulmonary dysplasia: Rationale for a pathophysiological rather than treatment based approach to diagnosis

This review describes the evolution of bronchopulmonary dysplasia definitions, evaluates the benefits and limitations of each approach

Biomarkers to define the treatment end-point for pulmonary exacerbations in cystic fibrosis

Advances in our understanding of early cystic fibrosis lung disease led by the Australian Early Surveillance Team for Cystic Fibrosis (AREST CF) have also indicated the potential utility of a number of biomarkers for monitoring disease severity.

Research Officer in Aboriginal Lung Health

An exciting opportunity to work in the Children's Lung Health research team to improve lung health in Aboriginal children and their families

Infectious Disease Ecology and Modelling

The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis and COVID-19 – and provide rapid modelling analyses to policy makers.

Biostatistician, Infectious Disease Implementation Research

Biostatistician, Infectious Disease Implementation Research