Secondary prevention of preeclampsia.

Preventing preeclampsia (PE) is crucial for the wellbeing of the mother, fetus, and the neonate with three levels: primary, secondary, and tertiary. Secondary prevention involves pharmacological therapies aimed at stopping the disease's progression before clinical signs. The predominant approach currently employed is the daily administration of low dose Aspirin and calcium.

The use of financial incentives for smoking cessation in pregnant women: A parallel-group randomised controlled trial protocol.

Background And Aims: Smoking cessation during pregnancy results in short- and long-term health benefits for the mother and infant. Despite public health policies and initiatives to reduce smoking, smoking in pregnancy remains unacceptably high in Australia, particularly among populations of high disadvantage. Internationally, the use of financial incentives has shown some promise in assisting pregnant women to quit smoking, but more research is needed in different contexts.

Primipaternity in multiparas as a predominant high risk factor for preeclampsia over prolonged birth intervals: A study of 33,000 singleton pregnancies in Reunion Island.

Objectives: To evaluate the relative importance of changing paternity ("primipaternity", direct inquiry with patients) in multiparas versus prolonged birth/pregnancy interval as risk factors for preeclampsia (PE) by a logistic regression model comparing the adjusted odds ratios of both exposures.

Design: Assessment of all consecutive singleton deliveries (from 22 weeks onwards) at South-Reunion University's maternity (Reunion Island, Indian Ocean) over 23 years (2001-2023) using an epidemiological perinatal database on obstetrical factors (264 items in total, of which, chronic or gestational hypertension, proteinuria, HELLP syndrome).

Results: Among the 53,572 multiparous singleton pregnancies, we identified 33,312 (62%) of multiparas who gave consecutive births, allowing calculation of birth intervals.

Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.

Objective: To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit.

Design: Individual participant data meta-analysis.

Data Sources: Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset.