Abstracts Ursodeoxycholic acid improves feto-placental and offspring metabolic outcomes in intrahepatic cholestasis of pregnancy and in a mouse model of hypercholanaemic pregnancy Abstracts 740The correlation between epigenetic change and neonatal plasma glucose level in maternal gestational diabetes offspring

Objective To develop a set of core outcomes for studies on pregnant women with epilepsy.Design Delphi consensus study.Population Healthcare professionals, and patient representatives with lived experience of epilepsy in the UK.Methods We used a modified Delphi method and a consultation meeting to achieve consensus. Potential outcomes were identified by systematic review, and were scored using a Likert scale anchored between 1 (least important) and 5 (most important). We included outcomes that scored ≥4 by >70% of participants, and outcomes that scored ≤2 by <15% of participants.Main outcome measures Outcomes in studies on epilepsy in pregnancy.Results Seventy-five healthcare professionals completed the first round, 48 (64%) completed the second round, and 37 (49%) completed the third round of the survey. Twenty-four patient representatives participated. The final core outcome set included 31 outcomes in three domains: neurological, offspring, and obstetric. Outcomes in the neurological domain were seizure control in pregnancy and postpartum, status epilepticus, maternal mortality, drowning, sudden unexpected death in epilepsy, postnatal depression, and quality of life. Offspring domain included congenital abnormalities (major and minor), fetal anticonvulsant syndrome, neurodevelopment, autism disorder, neonatal clinical complications, admission to a neonatal intensive care unit, and anthropometric measurements. The obstetric domain included live birth, stillbirth, miscarriage, ectopic, termination of pregnancy, admission to a high dependency or intensive care unit, breastfeeding, mode of delivery, preterm birth, pre-eclampsia, and eclampsia. Outcomes specific for studies on anti-epileptic drugs (AEDs) included maternal AED toxicity, AED compliance, neonatal withdrawal symptoms, and neonatal haemorrhagic disease.Conclusion Embedding this core set in future clinical trials will promote the standardisation of reporting to inform clinical practice.Keywords Core outcomes, CROWN, Delphi, epilepsy, pregnancy.Tweetable abstract A Delphi method identifying core outcomes for epilepsy in pregnancy. Final core set includes 31 outcomes.

Background Contemporaneous data are required for women with chronic kidney disease (CKD) Stages 3–5 to inform pre-pregnancy counselling and institute appropriate antenatal surveillance. Methods A retrospective cohort study in women with CKD Stages 3–5 after 20 weeks’ gestation was undertaken in six UK tertiary renal centres in the UK between 2003 and 2017. Factors predicting adverse outcomes and the impact of pregnancy in accelerating the need for renal replacement therapy (RRT) were assessed. Results There were 178 pregnancies in 159 women, including 43 women with renal transplants. The live birth rate was 98%, but 56% of babies were born preterm (before 37 weeks’ gestation). Chronic hypertension was the strongest predictor of delivery before 34 weeks’ gestation. Of 121 women with known pre-pregnancy hypertension status, the incidence of delivery before 34 weeks was 32% (31/96) in women with confirmed chronic hypertension compared with 0% (0/25) in normotensive women. The risk of delivery before 34 weeks doubled in women with chronic hypertension from 20% [95% confidence interval (CI) 9–36%] to 40% (95% CI 26–56%) if the gestational fall in serum creatinine was &lt;10% of pre-pregnancy concentrations. Women with a urinary protein:creatinine ratio &gt;100 mg/mmol prior to pregnancy or before 20 weeks’ gestation had an increased risk for birthweight below the 10th centile (odds ratio 2.57, 95% CI 1.20–5.53). There was a measurable drop in estimated glomerular filtration rate (eGFR) between pre-pregnancy and post-partum values (4.5 mL/min/1.73 m2), which was greater than the annual decline in eGFR prior to pregnancy (1.8 mL/min/1.73 m2/year). The effect of pregnancy was, therefore, equivalent to 1.7, 2.1 and 4.9 years of pre-pregnancy renal disease in CKD Stages 3a, 3b and 4–5, respectively. The pregnancy-associated decline in renal function was greater in women with chronic hypertension and in those with a gestational fall in serum creatinine of &lt;10% of pre-pregnancy concentrations. At 1 year post-partum, 46% (58/126) of women had lost ≥25% of their pre-pregnancy eGFR or required RRT. Most women with renal transplants had CKD Stage 3 and more stable renal function prior to pregnancy. Renal transplantation was not independently associated with adverse obstetric or renal outcomes. Conclusions Contemporary pregnancies in women with CKD Stages 3–5 are complicated by preterm delivery, low birthweight and loss of maternal renal function. Chronic hypertension, pre- or early pregnancy proteinuria and a gestational fall in serum creatinine of &lt;10% of pre-pregnancy values are more important predictors of adverse obstetric and renal outcome than CKD Stages 3–5. Pregnancy in women with CKD Stages 3–5 advances the need for dialysis or transplantation by 2.5 years.

Question: Does self-monitoring of blood pressure by pregnant individuals at higher risk of preeclampsia lead to earlier detection of pregnancy hypertension compared to usual antenatal care? Findings: In this randomized clinical trial that included 2441 pregnant individuals at increased risk for pre-eclampsia, use of self-monitoring of BP with telemonitoring compared with usual care resulted in a mean time to clinic-based detection of hypertension of 104 vs 106 days, a difference that was not statistically significant.Meaning: Among pregnant individuals at higher risk of pre-eclampsia, blood pressure selfmonitoring with telemonitoring did not lead to earlier clinic-based detection of hypertension.

Background Seizures are the main cause of maternal death in women with epilepsy, but there are no tools for predicting seizures in pregnancy. We set out to develop and validate a prognostic model, using information collected during the antenatal booking visit, to predict seizure risk at any time in pregnancy and until 6 weeks postpartum in women with epilepsy on antiepileptic drugs. Methods and findings We used datasets of a prospective cohort study (EMPiRE) of 527 pregnant women with epilepsy on medication recruited from 50 hospitals in the UK (4 November 2011–17 August 2014). The model development cohort comprised 399 women whose antiepileptic drug doses were adjusted based on clinical features only; the validation cohort comprised 128 women whose drug dose adjustments were informed by serum drug levels. The outcome was epileptic (non-eclamptic) seizure captured using diary records. We fitted the model using LASSO (least absolute shrinkage and selection operator) regression, and reported the performance using C-statistic (scale 0–1, values > 0.5 show discrimination) and calibration slope (scale 0–1, values near 1 show accuracy) with 95% confidence intervals (CIs). We determined the net benefit (a weighted sum of true positive and false positive classifications) of using the model, with various probability thresholds, to aid clinicians in making individualised decisions regarding, for example, referral to tertiary care, frequency and intensity of monitoring, and changes in antiepileptic medication. Seizures occurred in 183 women (46%, 183/399) in the model development cohort and in 57 women (45%, 57/128) in the validation cohort. The model included age at first seizure, baseline seizure classification, history of mental health disorder or learning difficulty, occurrence of tonic-clonic and non-tonic-clonic seizures in the 3 months before pregnancy, previous admission to hospital for seizures during pregnancy, and baseline dose of lamotrigine and levetiracetam. The C-statistic was 0.79 (95% CI 0.75, 0.84). On external validation, the model showed good performance (C-statistic 0.76, 95% CI 0.66, 0.85; calibration slope 0.93, 95% CI 0.44, 1.41) but with imprecise estimates. The EMPiRE model showed the highest net proportional benefit for predicted probability thresholds between 12% and 99%. Limitations of this study include the varied gestational ages of women at recruitment, retrospective patient recall of seizure history, potential variations in seizure classification, the small number of events in the validation cohort, and the clinical utility restricted to decision-making thresholds above 12%. The model findings may not be generalisable to low- and middle-income countries, or when information on all predictors is not available. Conclusions The EMPiRE model showed good performance in predicting the risk of seizures in pregnant women with epilepsy who are prescribed antiepileptic drugs. Integration of the tool within the antenatal booki...

Accurate face segmentation strongly benefits the human face image analysis problem. In this paper we propose a unified framework for face image analysis through end-to-end semantic face segmentation. The proposed framework contains a set of stack components for face understanding, which includes head pose estimation, age classification, and gender recognition. A manually labeled face data-set is used for training the Conditional Random Fields (CRFs) based segmentation model. A multi-class face segmentation framework developed through CRFs segments a facial image into six parts. The probabilistic classification strategy is used, and probability maps are generated for each class. The probability maps are used as features descriptors and a Random Decision Forest (RDF) classifier is modeled for each task (head pose, age, and gender). We assess the performance of the proposed framework on several data-sets and report better results as compared to the previously reported results.

Key content:• Acute uterine inversion is a rare and unpredictable obstetric emergency.• Mortality and morbidity are reduced by early recognition and management. • Shock and uterine replacement must be addressed simultaneously.• The importance of teamwork cannot be overemphasised.• There is a need for skills and drills training because of the rarity of acute inversion. Learning objectives:• To understand the pathophysiology.• To understand and to be able to evaluate critically the general management principles. Ethical issues:• Management of uterine inversion is guided by a relatively small evidence base, resulting in treatment modalities being used without proper evaluation.

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