Prediction of preeclampsia in twins
Research type
Research Study
Full title
Prediction of preeclampsia in twins
IRAS ID
255853
Contact name
Kypros Nicolaides
Contact email
Sponsor organisation
King's College Hospital NHS Foundation Trust
Duration of Study in the UK
0 years, 4 months, 1 days
Research summary
This study will investigate connections between maternal demographic characteristics, medical history and biomarkers with preeclampsia (PE). Twin pregnancies are at increased risk of preeclampsia. In a previous prospective study we developed models for prediction of PE. In this retrospective study we will validate the prediction models. In the model for prediction of PE the risk is increased with increasing maternal age and body mass index. It is higher in Afro Caribbean and South Asian than white women, in those conceived by in-vitro fertilisation than naturally, in women with chronic hypertension, diabetes mellitus and systemic lupus erythematosus or antiphospholipid syndrome, in nulliparous than parous women and among the latter in those with than without a previous history of PE, in women whose mother developed PE and in those with a long interpregnancy interval. Additionally, the risk was increased in women that at 11-13 weeks’ of the current pregnancy had low maternal serum PAPP-A or PlGF, and high mean arterial pressure and uterine artery pulsatility index. Bayesian statistics were used to combine the prior patient specific risk based on maternal demographic characteristics and medical history with the multiple of the median levels of biomarkers to derive the posterior risk. Posterior risk cutoffs were used to define false positive and detection rates for early-PE (<32 weeks), preterm-PE (<37 weeks) and all-PE (any gestation).
REC name
East of England - Cambridge South Research Ethics Committee
REC reference
19/EE/0039
Date of REC Opinion
15 Jan 2019
REC opinion
Further Information Favourable Opinion