The predicted clinical workload associated with early post-term surveillance and inductions of labour in south Asian women in a non-tertiary hospital setting.

Background: Stillbirth increases steeply after 42 weeks gestation; hence, induction of labour (IOL) is recommended after 41 weeks. Recent Victorian data demonstrate that term stillbirth risk rises at an earlier gestation in south Asian mothers (SAM).

Aims: To determine the impact on a non-tertiary hospital in Melbourne, Australia, if post-dates IOL were recommended one week earlier at 40 + 3 for SAM; and to calculate the proportion of infants with birthweight < 3rd centile that were undelivered by 40 weeks in SAM and non-SAM, as these cases may represent undetected fetal growth restriction.

Machine Learning Classification of Verified Head Impact Exposure Strengthens Associations with Brain Changes.

Cumulative exposure to head impacts during contact sports can elicit potentially deleterious brain white matter alterations in young athletes. Head impact exposure is commonly quantified using wearable sensors; however, these sensors tend to overestimate the number of true head impacts that occur and may obfuscate potential relationships with longitudinal brain changes. The purpose of this study was to examine whether data-driven filtering of head impact exposure using machine learning classification could produce more accurate quantification of exposure and whether this would reveal more pronounced relationships with longitudinal brain changes.

Ultra high-dimensional semiparametric longitudinal data analysis.

As ultra high-dimensional longitudinal data are becoming ever more apparent in fields such as public health and bioinformatics, developing flexible methods with a sparse model is of high interest. In this setting, the dimension of the covariates can potentially grow exponentially as with respect to the number of clusters n. We consider a flexible semiparametric approach, namely, partially linear single-index models, for ultra high-dimensional longitudinal data.

Accuracy of clinical suspicion of growth restriction at term despite a normal growth ultrasound: A retrospective cohort study.

Background: Small for gestational age (SGA) is a major determinant of poor perinatal outcome. Detecting SGA at term using ultrasound is challenging and we often plan birth based on clinical assessment.

Aims: To determine the incidence of SGA infants with birthweight <10th centile among women undergoing planned birth at term for suspected SGA despite a normal estimated fetal weight (EFW) on ultrasound at 35-37 weeks.

Identification of the optimal growth charts for use in a preterm population: An Australian state-wide retrospective cohort study.

Background: Preterm infants are a group at high risk of having experienced placental insufficiency. It is unclear which growth charts perform best in identifying infants at increased risk of stillbirth and other adverse perinatal outcomes. We compared 2 birthweight charts (population centiles and INTERGROWTH-21st birthweight centiles) and 3 fetal growth charts (INTERGROWTH-21st fetal growth charts, World Health Organization fetal growth charts, and Gestation Related Optimal Weight [GROW] customised growth charts) to identify which chart performed best in identifying infants at increased risk of adverse perinatal outcome in a preterm population.

An Online Calculator to Estimate the Impact of Changes in Breastfeeding Rates on Population Health and Costs.

Objective: We sought to determine the impact of changes in breastfeeding rates on population health.

Materials And Methods: We used a Monte Carlo simulation model to estimate the population-level changes in disease burden associated with marginal changes in rates of any breastfeeding at each month from birth to 12 months of life, and in rates of exclusive breastfeeding from birth to 6 months of life. We used these marginal estimates to construct an interactive online calculator (available at www.

Disparities in Breastfeeding: Impact on Maternal and Child Health Outcomes and Costs.

Objective: To estimate the disease burden and associated costs attributable to suboptimal breastfeeding rates among non-Hispanic blacks (NHBs), Hispanics, and non-Hispanic whites (NHWs).

Study Design: Using current literature on associations between breastfeeding and health outcomes for 8 pediatric and 5 maternal diseases, we used Monte Carlo simulations to evaluate 2 hypothetical cohorts of US women followed from age 15 to 70 years and their infants followed from birth to age 20 years. Accounting for differences in parity, maternal age, and birth weights by race/ethnicity, we examined disease outcomes and costs using 2012 breastfeeding rates by race/ethnicity and outcomes that would be expected if 90% of infants were breastfed according to recommendations for exclusive and continued breastfeeding duration.

Suboptimal breastfeeding in the United States: Maternal and pediatric health outcomes and costs.

The aim of this study was to quantify the excess cases of pediatric and maternal disease, death, and costs attributable to suboptimal breastfeeding rates in the United States. Using the current literature on the associations between breastfeeding and health outcomes for nine pediatric and five maternal diseases, we created Monte Carlo simulations modeling a hypothetical cohort of U.S.

Impact of Optimized Breastfeeding on the Costs of Necrotizing Enterocolitis in Extremely Low Birthweight Infants.

Objective: To estimate risk of necrotizing enterocolitis (NEC) for extremely low birth weight (ELBW) infants as a function of preterm formula (PF) and maternal milk intake and calculate the impact of suboptimal feeding on the incidence and costs of NEC.

Study Design: We used aORs derived from the Glutamine Trial to perform Monte Carlo simulation of a cohort of ELBW infants under current suboptimal feeding practices, compared with a theoretical cohort in which 90% of infants received at least 98% human milk.

Results: NEC incidence among infants receiving ≥98% human milk was 1.