Interventionist versus expectant care for severe pre-eclampsia between 24 and 34 weeks' gestation.

Background: Severe pre-eclampsia can cause significant mortality and morbidity for both mother and child, particularly when it occurs remote from term, between 24 and 34 weeks' gestation. The only known cure for this disease is delivery. Some obstetricians advocate early delivery to ensure that the development of serious maternal complications, such as eclampsia (fits) and kidney failure are prevented. Others prefer a more expectant approach delaying delivery in an attempt to reduce the mortality and morbidity for the child associated with being born too early. Objectives: The objective of the review was to compare the effects of a policy of interventionist care and early delivery with a policy of expectant care and delayed delivery for women with early onset severe pre-eclampsia. Search methods: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (28 February 2013). Selection criteria: Randomised trials comparing the two intervention strategies for women with early onset severe pre-eclampsia. Data collection and analysis: Two review authors independently assessed trials for inclusion, extracted data and assessed risk of bias. Data were checked for accuracy. Main results: Four trials, with a total of 425 women are included in this review. Trials were at low risk of bias for methods of randomisation and allocation concealment; high risk for blinding; unclear risk for incomplete outcome data and other bias; and low risk for selective reporting. There are insufficient data for reliable conclusions about the comparative effects on most outcomes for the mother. For the baby, there is insufficient evidence for reliable conclusions about the effects on stillbirth or death after delivery (risk ratio (RR) 1.08, 95% confidence interval (CI) 0.69 to 1.71; four studies; 425 women). Babies whose mothers had been allocated to the interventionist group had more intraventricular haemorrhage (RR 1.82, 95% CI 1.06 to 3.14; one study; 262 women), more hyaline membrane disease (RR 2.30, 95% CI 1.39 to 3.81; two studies; 133 women), require more ventilation (RR 1.50, 95% CI 1.11 to 2.02; two studies; 300 women) and were more likely to have a lower gestation at birth in days (average mean difference (MD) -9.91, 95% CI -16.37 to -3.45; four studies; 425 women), more likely to be admitted to neonatal intensive care (RR 1.35, 95% CI 1.16 to 1.58) and have a longer stay in the neonatal intensive care unit (average MD 11.14 days, 95% CI 1.57 to 20.72 days; two studies; 125 women) than those allocated an expectant policy. Nevertheless, babies allocated to the interventionist policy were less likely to be small-for-gestational age (RR 0.30, 95% CI 0.14 to 0.65; two studies; 125 women). Women who had been allocated to the interventionist group were more likely to have a caesarean section (RR 1.09, 95% CI 1.01 to 1.18; four studies; 425 women) than those allocated an expectant policy. There were no statistically significant differences between the two strategies for any other outcomes. Authors' conclusions: This review suggests that an expectant approach to the management of women with severe early onset pre-eclampsia may be associated with decreased morbidity for the baby. However, this evidence is based on data from only four trials. Further large trials are needed to confirm or refute these findings and establish if this approach is safe for the mother

Correction: Induction of labour versus expectant monitoring for gestational hypertension or mild pre-eclampsia between 34 and 37 weeks' gestation (HYPITAT-II): a multicentre, open-label randomised controlled trial

Kim Broekhuijsen, Josje Langenveld, Gert-Jan van Baaren, Mariëlle G van Pampus, Anton H van Kaam, Henk Groen, Martina Porath, Maureen TM Franssen, Ben W Mol, and HYPITAT-II study grou

Hyperemesis gravidarum severity, enteral tube feeding and cardiometabolic markers in offspring cord blood

Publisher Copyright: © The Authors 2022.Peer reviewedPublisher PD

Thyroid-stimulating hormone and free thyroxine fail to predict the severity and clinical course of hyperemesis gravidarum : A prospective cohort study

Funding information: This prospective cohort study was supported by a research grant from North West Hospital Group, Alkmaar, the Netherlands (Grant number: 2013T085) and by a research grant from the Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam UMC, the Netherlands (Project number: 23346). ACKNOWLEDGMENTS We thank Dr. J.P. Bestwick (employed at Queen Mary University of London, London, UK) and Professor Dr. J.H. Lazarus (employed at Cardiff School of Medicine, Cardiff, UK) for providing TSH medians from their study in the UK. Dr. J.P. Bestwick and Professor Dr. Lazarus have nothing to disclose.Peer reviewedPublisher PD

External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database: an individual participant data meta-analysis

Objective Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overall high risk of bias, according to PROBAST. In the IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65 and summary calibration slopes ranging from 0.40 to 0.88, with risk predictions that were generally too extreme compared with the observed risks. The models had little to no clinical utility, as assessed by net benefit. However, there remained uncertainty in the performance of some models due to small available sample sizes. Conclusions The three validated stillbirth prediction models showed generally poor and uncertain predictive performance in new data, with limited evidence to support their clinical application. The findings suggest methodological shortcomings in their development, including overfitting. Further research is needed to further validate these and other models, identify stronger prognostic factors and develop more robust prediction models. (c) 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.Peer reviewe