Epidemic of large babies highlighted by use of INTERGROWTH21st international standard.

OBJECTIVE: To compare birth weights in central Sydney to the INTERGROWTH21st international standard to describe current trends in relation to optimal growth and to define areas that may benefit from improved obstetric surveillance and intervention. METHODS: Retrospective analysis of prospectively collected cohort. DESIGN: hospital-based cohort study. SETTING: Sydney Local Health District, Australia. POPULATION OR SAMPLE: women with singleton pregnancies who had first trimester screening for aneuploidy between 16 April, 2010 and 9 March, 2012. Analysis of 2966 births. MAIN OUTCOME MEASURES: Large for gestational age (LGA) >4000 g, >4500 g, >5000 g, >90th, >95th, >97th centiles and small for gestational age (SGA) <1500 g, <2500 g,

Clinical evaluation of a first trimester algorithm predicting the risk of hypertensive disease of pregnancy.

BACKGROUND: The aim of this study is to validate the Fetal Medicine Foundation (FMF) multiple logistic regression algorithm for prediction of risk of pre-eclampsia in an Australian population. This model, which predicts risk using the population rate of pre-eclampsia, a variety of demographic factors, mean maternal arterial blood pressure (MAP), uterine artery PI (UtA PI) and pregnancy-associated plasma protein A (PAPP-A), has been shown to predict early-onset pre-eclampsia (delivery prior to 34 weeks) in 95% of women at a 10% false-positive rate. METHODS: All women who attended first trimester screening at the Royal Prince Alfred Hospital had their body mass index (BMI), MAP and UtA PI assessed in addition to factors traditionally used to assess aneuploidy (including PAPP-A MoM). After delivery, risks of early-onset (delivery prior to 34 weeks) pre-eclampsia, late pre-eclampsia and gestational hypertension were calculated using the FMF risk algorithm. RESULTS: A total of 3099 women were screened and delivered locally. 3066 (98.9%) women had all data to perform pre-eclampsia screening available. This included 3014 (98.3%) women with a live birth, where risks of early pre-eclampsia were calculated. Twelve women were delivered before 34 weeks because of early pre-eclampsia with a prevalence of early pre-eclampsia of 1 in 256 pregnancies. Risks generated through the use of maternal history, MAP, UtA PI and PAPP-A detected 41.7 and 91.7% of early pre-eclampsia at a false-positive rate of 5 and 10%, respectively. CONCLUSIONS: This study shows that the FMF early pre-eclampsia algorithm is effective in an Australian population.