Objective Prospective assignment at 11 + 0 to 13 + 6 weeks of risk for late pre-eclampsia (PE) using eight logistic regression-based statistical models.Methods Five hundred and fifty-four pregnancies. Uterine artery pulsatility index, parity, body mass index, mean arterial pressure, pregnancy-associated plasma protein-A, free β-human chorionic gonadotrophin and maternal age, were combined to obtain 'a posteriori risk of PE'.Results We observed 39 cases (7%) of late PE. There were 12 cases of severe PE and 27 of mild PE. According to the models used, the estimated detection rate ranged from 38.5% to 84.6% with a false-positive rate of 10%. The median risk ratio (estimated median risk of PE in affected pregnancies divided by estimated risk of PE in unaffected pregnancies) ranged between 1.66 and 7.61. The most reproducible biochemical-based model was a mixed model encompassing maternal history and pregnancy-associated plasma protein-A.Conclusion Some of the multivariable models drawn from the literature accurately predicted the late PE occurrence. The failure of some models may be because of the population in question not bearing several of the risk factors used to generate the models proposed. An effective combined screening at first trimester for late PE seems possible.

Symptomatic CCMs seldom require neurosurgery either during or after pregnancy and are not associated with preterm delivery.

The elevation of MSAFP and PAPP-A observed with CVS is associated with increased risk of subsequent PE. The ability of such increases to predict PE appears to be modest.

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Panorama Plus (Natera), a single-nucleotide polymorphism- (SNP-) based approach that relies on the identification of maternal and fetal allele distributions, allows the detection of common aneuploidies and also incorporates a panel of 5 microdeletions including Di George syndrome. We report here the first case of Di George syndrome detected by NIPT in Italy; blood was drawn at 12 weeks' gestation. The patient had an amniocentesis to confirm the diagnosis by MLPA (multiplex ligation-dependent probe amplification) and an ultrasound aimed to detect the features associated with the syndrome. A right aortic arch and suspect of thymus atrophy were detected, but not other severe malformations typical of the disease. The patient terminated the pregnancy at 17 weeks. NIPT allowed an early screening of Di George syndrome. As the patient was at low risk, it is likely that an ultrasound would have missed the condition.

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Conclusions:The metabolic changes detected correlate well with brain structural changes and neurodevelopment problems associated with IUGR, therefore constituting potential non invasive biomarkers for the perinatal diagnosis of this disease.OP18.10 Doppler parameters at routine third trimester ultrasound and subsequent fetal growth

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